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1. Home
2. Directory
3. Alexandre DOLGUI
ALEXANDRE DOLGUI
DÉPARTEMENT AUTOMATIQUE PRODUCTIQUE INFORMATIQUE
POSITION
Responsable Dapi
CAMPUS
Nantes
CONTACT INFORMATION:
PHONE
8218
Send a message
MAIL
IMT Atlantique - Alexandre Dolgui
La Chantrerie
4, rue Alfred Kastler - B.P. 20722
F-44307 NANTES Cedex 3, France
* Biography(active tab)
* Books
* Projects
* Recent Awards
* Editorial Activities
* Other Activities
* Scientific publications
Biography
PR ALEXANDRE DOLGUI
Download my curriculum vitae (PDF)
The collection of my publications (PDF)
FELLOW OF IISE
* Editor-in-Chief of the International Journal of Production Research (Taylor &
Francis)
* Distinguished Professor
* Head of Automation, Production and Computer Sciences Department
* 2021, 2022 and 2023 Highly Cited Researcher by Clarivate
PROFILE ON:
CITATIONS GOOGLE SCHOLAR (05/04/2024):
* Citations= 30130
* H-index = 80
* i10-index = 310
ACADEMIC EXPERIENCE
* IMT Atlantique, Nantes, France
* 2015 - present, Full Professor of Exceptional Class, Head of Department on
Automation, Production and Computer Sciences (in addition, 2015-2022,
Member of Executive Committee of the LS2N - CNRS UMR 6004)
* Ecole des Mines de Saint-Etienne, France
* 2011 - 2015, Full Professor of Exceptional Class, Deputy Director of CNRS
Lab. LIMOS - UMR 6158, Responsible of Division on Decision Aid in
Production Systems and Logistics of the Laboratory, Head of the MSc and PhD
programs in Industrial Engineering, (2011 – 2014, Deputy Director for
Research of Henri Fayol Institute)
* 2009 - 2011, Full Professor of 1st Class, Centre G2I and Laboratory LSTI
Director, Department Head
* 2003 - 2009, Full Professor of 1st class, Centre G2I Director, Department
Head
* University of Technology of Troyes, Industrial Engineering Dept., Troyes,
France / Ecole des Mines de Nancy, Computer Science Dept., Loria / IUT de
Roanne
* 2001 - 2003, Full Professor of 2nd Class, Head (founding) of the program on
production management
* 1996 - 2001, Associate Professor (2nd then 1st class), Head (founding) of
the program on production management
* 1994 - 1996, Assistant Professor
* Belarusian State University of Informatics and Radioelectronics, Computer
Aided Production Management Dept./ Algorithms and Programming Dept., Minsk,
Belarus
* 1991 - 1997, Associate Professor
* 1988 - 1991, Assistant Professor
* 1986 - 1988, Researcher
* Guest Professor
* 2019 (one week), Fuzhou University, China
* 2018, 2017 (two weeks), Bandung Institute of Technology, Bandung, Indonesia
* 2015 (one month), University of Chinese Academy of Sciences, Beijing, China
* 2014 (one week), Hefei University of Technology, Hefei, China
* 2014 (two weeks), Università degli Studi di Modena e Reggio Emilia, Italy
* 2013 (one week), University of Science and Technology of China, Hefei,
China
* 2005 (1 month), Queen's School of Business, Kingston, Canada
* 2002 (1 month), University of Technology of Szczecin, Szczecin, Poland
* Since 1996, every year at least two weeks (often one month), National
Academy of Sciences, Minsk, Belarus
* 1994 (6 months), project SAGEP, INRIA-Lorraine, University of Metz, France
* 1992 - 1993 (9 months), project SAGEP, INRIA-Lorraine, France
EDUCATION
* Dr. Habil., University of Technology of Compiègne (UTC), France, 2000
* Docent Title in Computational Methods and Programming, Ministry of Research
and Education, Russia, 1992
* Ph.D. in Engineering Cybernetics and Computer Aided Production Management,
Academy of Sciences of Belarus, Institute of Engineering Cybernetics, Minsk,
Belarus (USSR), 1990
* Certificate of doctoral study, Minsk Radioengineering Institute, Belarus
(USSR), 1986
* M.Sc./Engineer in Automated Systems of Data Processing and Management (with
Honors), Minsk Radioengineering Institute, Belarus (USSR), 1983
--------------------------------------------------------------------------------
PROFESSIONAL MEMBERSHIPS
* Fellow of Institute of Industrial Engineers (IISE)
* Board Member of International Foundation for Production Research (IFPR)
* Fellow of European Academy for Industrial Management (AIM)
* Vice-chair (former chair 2011-2017) of IFAC TC 5.2, International Federation
of Automatic Control
* Institute for Operations Research and the Management Sciences (INFORMS)
* Institute of Electrical and Electronics Engineers (IEEE)
* French Operations Research and Decision Aid Society (ROADEF)
* Operations Research Society of Belarus (ByORS)
--------------------------------------------------------------------------------
RESEARCH INTERESTS AND SKILLS
* Optimal Design of Production and Assembly Lines
* Supply Chain Engineering, Resilience, Stress Tests
* Inventory Control and Supply Chain Optimization
* Planning, Lot-sizing and Scheduling
* Discrete Optimization Methods (Mathematical Programming, Stochastic
Algorithms)
* Performance Evaluation Methods (Markov's Models, Queueing Models)
* Mathematical Programming Optimizers (Cplex, Xpress-MP, OSL)
* Discrete-Event Simulation (GPSS, SLAM, Witness, ARENA)
TEACHING
* Operational Research
* Discrete-Event Simulation
* Production System Design
* Enterprise Resource Planning
* Planning and Schedulling
* Algorithms
* C++
* Statistics and Probability Theory
Books
BOOKS
35 edited and 5 authored books in addition to more than 350 articles in
peer-reviewed journals as well as over 500 refereed conference papers.
RECENT AUTHORED BOOKS
* Dolgui A., J.M. Proth. Supply Chain Engineering: Useful Methods and
Techniques. Springer, 2010, XX, (ISBN: 978-1-84996-016-8), 539 pages
--- Order form ---
* Dolgui A., J.M. Proth. Les systèmes de production modernes. Tome 1 :
Conception, gestion et optimisation. Hermès, 2006, (ISBN: 2-7462-1249-8), 415
pages. (in French)
* Dolgui A., J.M. Proth. Les systèmes de production modernes. Tome 2 : Outils
et corrigés des exercices. Hermès, 2006, (ISBN: 2-7462-1250-1), 385 pages.
(in French)
--- Order form ---
RECENT EDITED BOOKS:
Supply Network Dynamics and Control, Edited by A. Dolgui, D. Ivanov, B. Sokolov,
Springer, 2022
Scheduling in Cloud Manufacturing and Industry 4.0, Edited by B. Sokolov, D.
Ivanov, A. Dolgui, International Series in Operations Research & Management
Science, vol. 289, Springer, 2020
Handbook of Ripple Effects in the Supply Chain, Edited by D. Ivanov, A. Dolgui,
B. Sokolov, International Series in Operations Research & Management Science,
vol. 276, Springer, 2019
Projects
PROJECTS
* ACCURATE - Achieving resilience through manufacturing as a service, digital
twins and ecosystems, HORIZON-CL4-2023-TWIN-TRANSITION-01-07
* ASSISTANT - LeArning and robuSt deciSIon SupporT systems for agile
mANufacTuring environments, H2020 – ICT-38-2020, Artificial intelligence
for manufacturing (10100016), Coordinator
* Reconfigurable and sustainable manufacturing systems (RMSs), funded by the
ANR (ANR-021-CE10-0019), Coordinator
* Industry responsable, funded by Carnot MINES
Some past projects:
LogVID - Dynamic logistics planning in pandemic situations under demand
uncertainty: case study of COVID-19
DREAMS: Advancing Circular Economy : Integration of Disassembly for
Remanufacturing into Existing Assembly Systems, German-French Academy for the
Indutry of the Future
DISC: Data-driven Collaboration in Industrial Supply Chain (with Airbus),
German-French Academy for the Indutry of the Future
RDS: Reconfigurable and sustainable manufacturing systems, German-French Academy
for the Indutry of the Future
Reconfigurable Manufacturing Systems, program MERITE for leading scholars,
region Pays de la Loire, France
Advanced Platform for manufacturing engineering and Product Lifecycle Management
(amePLM - FP7)
European Virtual Institute on Collaborative Demand and Supply Networks
(CO-DESNET - FP6)
Optimization and Computer-Aided Design of Machining Lines (with and
for PCI-SCEMM)
Scheduling for Modern Manufacturing, Logistics and Supply Chains (INTAS
03-51-5501)
Design and Optimization of Reconfigurable Production Lines, PICS CNRS (France-
Belarus)
Modeling Supply Chain with Dual Channels under Green Environment and
Uncertainties, PHC CAI YUANPEI (France - China)
Optimization of the Global Supply Chain in Automotive Industry, for Renault
group
Warehouse Design, Localization and Optimization, for Casino group
Recent Awards
RECENT AWARDS
* 2024 - 2 papers are in the list of the IJPR 2023 Trending Article List
(Taylor & Francis)
* 2023 - Best paper award 2023 by Omega (Elsevier)
* 2023 - Highly Cited Researcher 2023 in Engineering by Clarivate (Web of
Science)
* 2023 - 3 papers are awarded by the IJPR as most cited (in top 25) published
in 2021-22
* 2022 - Highly Cited Researcher 2022 in Engineering by Clarivate (Web of
Science)
* 2022 - IISE Transactions on Design and Manufacturing Best Paper (Institute of
Industrial and Systems Engineers), USA
* 2021 - Highly Cited Researcher 2021 in Engineering by Clarivate (Web of
Science)
* 2021 - 6 papers are awarded by the IJPR as most cited papers (top 25)
published in the journal in 2020
* 2020 - The IISE Fellow Award (Institute of Industrial and Systems Engineers),
USA
* 2020 - 3 papers are awarded by the IJPR as most cited papers (top 20)
published in the journal in 2019
* 2019 - 3 papers are awarded by the IJPR as most cited papers published in the
journal in 2018
* 2018 - IEOM Distinguished Educator Award, Industrial Engineering and
Operations Management Society (IEOM)
* 2017/22 - Honorary Adjunct Professor in Industrial Engineering, Bandung
Institute of Technology (ITB), Indonesia
* 2013 - Chinese Academy of Science Visiting Professorship for Senior
International Scientists, grant number 2013T2J0054
* 2011 - Annual Award of the French National Committee of the International
Federation of Automatic Control (IFAC)
* 2011 - Scientific Excellence Award of Saint-Etienne Metropolis, France
* 2008 - IIE Transactions on Design and Manufacturing Best Paper Award, USA
* 2008 - Biannual Best Research Award of the Academy of Sciences of Belarus
(Physics, Mathematics & Computer Science)
* 2006 - Special Award of the IFAC French National Committee for IFAC symposium
INCOM’2006, France
Awards at international conferences:
* 2022 - Best paper Award at the 38th Workshop on Combinatorial Mathematics and
Computational Theory, Taipei, Taiwan
* 2018 - Commended Award at the 6th International Conference on Dynamic in
Supply Chain, Bremen, Germany
* 2015 - Best Application Paper Award at the 15th Triennial IFAC Symposium
INCOM, Ottawa, Canada
Editorial Activities
MAJOR EDITORIAL ACTIVITIES
* Editor in Chief of the International Journal of Production Research (Taylor &
Francis)
* Area Editor of the Computers and Industrial Engineering (Elsevier)
* Consulting Editor of the International Journal of Systems Science (Taylor &
Francis)
* Associate Editor of the Journal Européen des Systèmes Automatisés (IIETA)
Past Associate Editor:
- IEEE Transactions on Industrial Informatics (IEEE), 2005-2008
- International Journal of Systems Science (Taylor & Francis), 2006-2009
- Omega - The International Journal of Management Science (Elsevier), 2010-2013
Presently Editorial Board Member for several other International Journals,
including:
* Int. J. of Production Economics (Elsevier)
* Int. J. of Systems Science (Taylor & Francis)
* Int. J. of Manufacturing Technology and Management (InderScience)
* Int. J. of Engineering Management and Economics (InderScience)
* In. J. of Integrated Supply Chain Management (InderScience)
* International Journal of Inventory Research (InderScience)
* Journal of Decision Systems (Taylor & Francis)
* Journal of Algorithms and Optimization (World Academic Publishing)
* Journal of Civil Engineering and Management (Taylor & Francis)
* Journal of Supply Chain Management Science (TU Delft, The Netherlands)
* Management and Production Engineering Review (Polish Academy of Sciences)
* Technological and Economic Development of Economy (Taylor & Francis)
* Risk and Decision Analysis (IOS Press)
Guest Editor for several special issues of leading international refereed
journals :
IJPR, IJPE, EJOR, JIM, JMMA, ARC, JESA, JDS, IEEE TII, IJSPM, IJSS, IJISM,
Omega, C&IE, AOR, EAAI, etc.
Other Activities
OTHER ACTIVITIES AND ACCOMPLISHMENTS
* Fellow, Institute of Industrial and Systems Engineers (IISE), elected in 2020
* Distinguished Fellow of International Engineering and Technology Institute
(IETI), elected in 2019
* Active Fellow of the European Academy for Industrial Management (AIM),
elected in 2013
* Member of the Board of the International Foundation for Production Research
(IFPR), 2005 – present
* Chair of IFAC Technical Committee TC 5.2 "Manufacturing Modelling for
Management and Control" (2011-2017) and chair of Working Group "Supply
Network Engineering" , 2011 – present
* Vice-chair of the IFAC Technical Committee TC 5.2 "Manufacturing Modelling
for Management and Control", 2017 – present
* IFAC Pavel J. Nowacki Distinguished Lecturer for the 2023-2026
* Member of IFAC Strategic Planning Group
* Member of IFAC Task Force Committee on Systems and Control-Decision Research
Agenda, 2015
* Member of IFIP Working Group 5.7 "Advances in Production Management Systems"
* Member of IEEE Systems Council "Analytics and Risk Technical Committee"
* Member of the Board of the International Foundation for Production Research
* Founding member representative for EVI - "European Virtual Institute on
Innovation in Industrial Supply Chains and Logistic Networks"
* Member of Society of Collaborative Networks (SoColNet)
* Technical Associate Editor for the 18th IFAC World Congress, Associate Editor
for the 19th IFAC World Congress and the 20th IFAC World Congress
* Member of Advisory Board for the 20th IFAC World Congress
* Permanent Member of Steering Committee for the International Conference MOSIM
(2001 - 2023)
* Member of the Steering Committee of POMS International Conference in Paris,
2023
* General Scientific Chair of the 10th IFAC Conference MIM'22
* 59 countries were represented via the contributors
* 767 attendees
* 3332 pages of the symposium proceedings by Elsevier with 1908 authors
* General Scientific Chair of the IFIP Conference APMS 2021
* 51 countries were represented via the contributors
* 506 attendees
* Proceedings (Springer) in 5 volumes
* General Scientific Chair of the 9th IFAC Conference MIM'2019
* 61 countries represented
* 740 participants
* 2838 pages of the conference proceedings by Elsevier
* General Scientific Chair of the 8th IFAC Conference MIM'2016
* 52 countries represented
* 540 attendees
* Chair of International Program Committee of the 14th IFAC/IFIP
Symposium INCOM'15
* 52 countries represented
* 483 participants
* Chairman of International Program Committee of the 7th IFAC/IFIP
conference MIM'2013
* 59 countries were represented via the contributors
* 455 participants including 28 industrial representatives
* 373 selected papers and 7 keynote articles are in the Conference
Proceedings (Elsevier)
* Chairman of International Program Committee for the 14th IFAC/IFIP
Symposium INCOM'12
* 47 countries represented
* 463 participants
* 344 selected papers and 12 keynote articles in the program
* Co-chair of the Annual Congress of the French Operational Research and
Decision-Aid Society ROADEF 2011
* 34 countries were represented via the contributors
* 618 participants including more than 100 industrial representatives
* 428 selected communications and 4 keynote talks
* Co-chair of the international conference CIGI'2011
* Chairman of International Program Committee for the 13th IFAC/IFIP
Symposium INCOM'09
* 55 countries were represented via the contributors
* 654 participants including 112 industrial representatives
* 346 selected papers and 10 keynote articles are in the Symposium
Proceedings (Elsevier)
* General Scientific Chair of the 12th IFAC/IFIP/IFORS/IEEE/IMS
Symposium INCOM'06
* 57 countries were represented via the contributors
* 783 attendees (544 academics / 239 industrial representatives)
* 2665 pages of symposium proceedings (Elsevier) with 950 authors
* Chairman of Scientific Committee for the International
Conferences SCM'02 and MOSIM'04
* Vice-Chairman of Scientific Committee for the International
Conference CIGI'2011
* Chairman of Organizing Committee for the 3rd International French Speaking
Conference MOSIM'01
* 21 countries were represented via the contributors
* 306 participants including 76 industrial representatives
* 142 selected papers and 6 keynote articles are in the Conference
Proceedings (SCS International)
* Member of the Local Oganizing Committee of Manufuture 2008
* Co-Chair of Scientific Committee for I4e2 IESM'2015 in Spain and Co-Chair
of Scientific Committee for ROADEF'2015 in France
* Co-Chair of Scientific Committee for I4e2 IESM'2013 in Morocco and Technical
Program Co-Chairs for IEEE CoDIT'13 in Tunisia
* Member of Advisory, Scientific or Program Committee for more than 250
International Conferences
* Chairman of National Working Group (336 individual members) on Production
Systems Design (GDR MACS of French National Center for Scientific Research
- CNRS), 2003 - 2013
Scientific publications
Document type AllArticlesJournal articles with peer reviewJournal articles
without peer reviewConference papersConference papers with proceedingsConference
papers without proceedingsDirections de proceedingsSpecial issuesBooksBook
sectionsKey-note speakerDirections of work or proceedings
All
* All
* Articles
* Journal articles with peer review
* Journal articles without peer review
* Conference papers
* Conference papers with proceedings
* Conference papers without proceedings
* Directions de proceedings
* Special issues
* Books
* Book sections
* Key-note speaker
* Directions of work or proceedings
Recent scientific publications
ARTICLES
Hu Peng, Chu Feng, Dolgui Alexandre, Chu Chengbin, Liu Ming
Integrated multi-product reverse supply chain design and disassembly line
balancing under uncertainty
Omega, 2024, 126, pp.103062. ⟨10.1016/j.omega.2024.103062⟩
Details
Quote
Bibtext :
@article{hu:hal-04505479,
TITLE = {{Integrated multi-product reverse supply chain design and disassembly
line balancing under uncertainty}},
AUTHOR = {Hu, Peng and Chu, Feng and Dolgui, Alexandre and Chu, Chengbin and
Liu, Ming},
URL = {https://univ-evry.hal.science/hal-04505479},
JOURNAL = {{Omega}},
PUBLISHER = {{Elsevier}},
VOLUME = {126},
PAGES = {103062},
YEAR = {2024},
MONTH = Jul,
DOI = {10.1016/j.omega.2024.103062},
KEYWORDS = {Benders decomposition ; Bi-objective ; Disassembly line balancing ;
Reverse supply chain ; Stochastic optimization},
HAL_ID = {hal-04505479},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Integrated multi-product reverse supply chain design and disassembly line
balancing under uncertainty
%+ School of Economics & Management
%+ Informatique, BioInformatique, Systèmes Complexes (IBISC)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Génie des Réseaux de Transport Terrestres et Informatique Avancée
(COSYS-GRETTIA )
%+ School of Economics & Management
%A Hu, Peng
%A Chu, Feng
%A Dolgui, Alexandre
%A Chu, Chengbin
%A Liu, Ming
%Z This work was partially supported by the China Scholarship
Council(202006650025), the National Natural Science Foundation of China(Grant
No. 72071144).
%< avec comité de lecture
%@ 0305-0483
%J Omega
%I Elsevier
%V 126
%P 103062
%8 2024-07
%D 2024
%R 10.1016/j.omega.2024.103062
%K Benders decomposition
%K Bi-objective
%K Disassembly line balancing
%K Reverse supply chain
%K Stochastic optimization
%Z Computer Science [cs]/Operations Research [math.OC]Journal articles
%X End-of-life (EOL) product recycling has received increasing attention because
of potential environmental, social and economic benefits. A well-designed
reverse supply chain (RSC) can efficiently handle EOL products. As the critical
activity in the RSC, the disassembly process decomposes collected EOL products
into components to fulfill the demands of remanufacturing plants. Efficiently
coordinating RSC design and disassembly line balancing decisions may improve the
whole system performance significantly, especially when facing multiple EOL
products and uncertainty. This paper investigates a novel integrated RSC design
and disassembly line balancing problem to handle multiple EOL products where the
supply of EOL products, the demand for components, and task times in disassembly
are stochastic. This complex problem needs to jointly determine the number and
locations of disassembly plants, disassembly equipment procurement, disassembly
line balancing, and inventory levels of both EOL products collected and
components dismantled. The objectives are to maximize the expected profit and
minimize the carbon emissions simultaneously. For the problem, a bi-objective
two-stage stochastic programming model is formulated and an exact ɛ-constrained
method is proposed, transforming the bi-objective problem into a series of
single-objective problems. Especially, an improved Benders decomposition
approach is developed to solve each single-objective problem efficiently.
Numerical experiments comprising an illustrative case and 200 random instances
are conducted to evaluate the performance of proposed methods. Moreover, some
managerial insights are drawn.
%G English
%L hal-04505479
%U https://univ-evry.hal.science/hal-04505479
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ UNIV-EVRY
%~ EC-NANTES
%~ IBISC
%~ UNAM
%~ IBISC-AROBAS
%~ IFSTTAR
%~ TDS-MACS
%~ LS2N
%~ UNIV-PARIS-SACLAY
%~ UNIV-EVRY-SACLAY
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ UNIVERSITE-PARIS-SACLAY
%~ GS-COMPUTER-SCIENCE
%~ GS-LIFE-SCIENCES-HEALTH
%~ GS-SPORT-HUMAN-MOVEMENT
%~ UNIV-EIFFEL
%~ U-EIFFEL
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
%~ COSYS
%~ TEST-SEBASTIEN1
Metzker Soares Paula, Thevenin Simon, Adulyasak Yossiri, Dolgui Alexandre
Adaptive robust optimization for lot-sizing under yield uncertainty
European Journal of Operational Research, 2024, 313 (2), pp.513-526.
⟨10.1016/j.ejor.2023.08.036⟩
Details
Quote
Bibtext :
@article{metzkersoares:hal-04408182,
TITLE = {{Adaptive robust optimization for lot-sizing under yield uncertainty}},
AUTHOR = {Metzker Soares, Paula and Thevenin, Simon and Adulyasak, Yossiri and
Dolgui, Alexandre},
URL = {https://hal.science/hal-04408182},
JOURNAL = {{European Journal of Operational Research}},
PUBLISHER = {{Elsevier}},
VOLUME = {313},
NUMBER = {2},
PAGES = {513-526},
YEAR = {2024},
MONTH = Mar,
DOI = {10.1016/j.ejor.2023.08.036},
HAL_ID = {hal-04408182},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Adaptive robust optimization for lot-sizing under yield uncertainty
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%+ HEC Montréal (HEC Montréal)
%+ Groupe d’études et de recherche en analyse des décisions (GERAD)
%A Metzker Soares, Paula
%A Thevenin, Simon
%A Adulyasak, Yossiri
%A Dolgui, Alexandre
%< avec comité de lecture
%@ 0377-2217
%J European Journal of Operational Research
%I Elsevier
%V 313
%N 2
%P 513-526
%8 2024-03
%D 2024
%R 10.1016/j.ejor.2023.08.036
%Z Computer Science [cs]
%Z Computer Science [cs]/Automatic Control Engineering
%Z Computer Science [cs]/Operations Research [math.OC]Journal articles
%X In manufacturing environments, uncertain production yield directly impacts
the quality and feasibility of the production planning decisions. This paper
investigates the use of adaptive robust optimization to hedge against uncertain
yield when determining a production plan, and to react properly when updated
information unfolds. We first derive a myopic adaptive robust policy for the
inventory management problem, a special case of the lot-sizing problem where the
setup and the production costs are omitted. We show that the policy is optimal
under mild assumptions. Second, we address a multi-period single-item lot-sizing
problem with a backorder and uncertain yield via adaptive robust optimization.
We formulate an adaptive robust model based on the budgeted uncertainty set,
where we exploit a linear approximation to transform the quadratic constraints
into a mixed-integer linear program. We also propose a column and constraint
generation algorithm to solve the adaptive model exactly. Finally, we
demonstrate the performances of the proposed approaches and the value of the
adaptive robust solutions through extensive numerical experiments.
%G English
%L hal-04408182
%U https://hal.science/hal-04408182
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ UNAM
%~ TDS-MACS
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
%~ INRIA-CANADA
Ardolino Marco, Bacchetti Andrea, Dolgui Alexandre, Franchini Guglielmo, Ivanov
Dmitry, Nair Anand
The impacts of digital technologies on coping with the COVID-19 pandemic in the
manufacturing industry: a systematic literature review
International Journal of Production Research, 2024, 62 (5), pp.1953-1976.
⟨10.1080/00207543.2022.2127960⟩
FileDetails
Quote
Bibtext :
@article{ardolino:hal-04441491,
TITLE = {{The impacts of digital technologies on coping with the COVID-19
pandemic in the manufacturing industry: a systematic literature review}},
AUTHOR = {Ardolino, Marco and Bacchetti, Andrea and Dolgui, Alexandre and
Franchini, Guglielmo and Ivanov, Dmitry and Nair, Anand},
URL = {https://hal.science/hal-04441491},
JOURNAL = {{International Journal of Production Research}},
PUBLISHER = {{Taylor \& Francis}},
VOLUME = {62},
NUMBER = {5},
PAGES = {1953-1976},
YEAR = {2024},
MONTH = Feb,
DOI = {10.1080/00207543.2022.2127960},
PDF = {https://hal.science/hal-04441491/file/Manuscript_V10.pdf},
HAL_ID = {hal-04441491},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T The impacts of digital technologies on coping with the COVID-19 pandemic in
the manufacturing industry: a systematic literature review
%+ Università degli Studi di Brescia = University of Brescia (UniBs)
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%+ Berlin School of Economics and Law
%+ Michigan State University [East Lansing]
%A Ardolino, Marco
%A Bacchetti, Andrea
%A Dolgui, Alexandre
%A Franchini, Guglielmo
%A Ivanov, Dmitry
%A Nair, Anand
%< avec comité de lecture
%@ 0020-7543
%J International Journal of Production Research
%I Taylor & Francis
%V 62
%N 5
%P 1953-1976
%8 2024-02-06
%D 2024
%R 10.1080/00207543.2022.2127960
%Z Computer Science [cs]
%Z Computer Science [cs]/Automatic Control Engineering
%Z Computer Science [cs]/Operations Research [math.OC]Journal articles
%G English
%2 https://hal.science/hal-04441491/document
%2 https://hal.science/hal-04441491/file/Manuscript_V10.pdf
%L hal-04441491
%U https://hal.science/hal-04441491
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ UNAM
%~ TDS-MACS
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
%~ INRIA-ETATSUNIS
%~ INRIA-ALLEMAGNE
Liu Ming, Ding Yueyu, Chu Feng, Dolgui Alexandre, Zheng Feifeng
Robust actions for improving supply chain resilience and viability
Omega, 2024, 123, pp.102972. ⟨10.1016/j.omega.2023.102972⟩
Details
Quote
Bibtext :
@article{liu:hal-04232218,
TITLE = {{Robust actions for improving supply chain resilience and viability}},
AUTHOR = {Liu, Ming and Ding, Yueyu and Chu, Feng and Dolgui, Alexandre and
Zheng, Feifeng},
URL = {https://hal.science/hal-04232218},
JOURNAL = {{Omega}},
PUBLISHER = {{Elsevier}},
VOLUME = {123},
PAGES = {102972},
YEAR = {2024},
MONTH = Feb,
DOI = {10.1016/j.omega.2023.102972},
HAL_ID = {hal-04232218},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Robust actions for improving supply chain resilience and viability
%+ Hong Kong University of Science and Technology (HKUST)
%+ Urban Mobility Institute
%+ Informatique, BioInformatique, Systèmes Complexes (IBISC)
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%+ Glorious Sun School of Business & Management
%A Liu, Ming
%A Ding, Yueyu
%A Chu, Feng
%A Dolgui, Alexandre
%A Zheng, Feifeng
%< avec comité de lecture
%@ 0305-0483
%J Omega
%I Elsevier
%V 123
%P 102972
%8 2024-02
%D 2024
%R 10.1016/j.omega.2023.102972
%Z Computer Science [cs]
%Z Computer Science [cs]/Automatic Control Engineering
%Z Computer Science [cs]/Operations Research [math.OC]Journal articles
%X It is vital for supply chains (SCs) to survive the dramatic and long-term
impacts from severe disruptive events, such as COVID-19 pandemic. SC viability,
an extension of SC resilience, is increasingly attracting attention from both
academics and practitioners. To improve SC viability, the government can perform
a series of costly interventions on SCs. Due to data scarcity on unpredictable
disruptive events, especially under the pandemic, the information related to SC
partners may not be accurately obtained. In this paper, we investigate a novel
SC resilience and viability improving problem under severe disruptive events, in
which only the probability intervals of SC partners’ states are known. The
problem consists of the selection of appropriate intervention actions,
respecting a limited capital budget. The objective is to minimize the worst-case
disruption risk of the manufacturer. Specifically, Causal Bayesian Network (CBN)
is applied to quantify the SC ripple effects; Do-calculus technique is used to
measure the benefits of government intervention actions; and robust optimization
is employed to minimize the disruption risk under the worst-case condition. For
the problem, a new robust optimization model that combines the CBN and the
Do-calculus is constructed. Based on analyses of problem features, an efficient
problem-specific branch-and-bound (PS-BAB) algorithm is proposed to solve the
problem exactly. Experimental results show the efficiency of our methodology and
managerial insights are drawn.
%G English
%L hal-04232218
%U https://hal.science/hal-04232218
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ UNIV-EVRY
%~ EC-NANTES
%~ IBISC
%~ UNAM
%~ IBISC-AROBAS
%~ TDS-MACS
%~ LS2N
%~ UNIV-PARIS-SACLAY
%~ UNIV-EVRY-SACLAY
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ UNIVERSITE-PARIS-SACLAY
%~ GS-COMPUTER-SCIENCE
%~ GS-LIFE-SCIENCES-HEALTH
%~ GS-SPORT-HUMAN-MOVEMENT
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
%~ TEST-SEBASTIEN1
Loger Benoît, Dolgui Alexandre, Lehuédé Fabien, Massonnet Guillaume
Approximate Kernel Learning Uncertainty Set for Robust Combinatorial
Optimization
INFORMS Journal on Computing, 2024, ⟨10.1287/ijoc.2022.0330⟩
Details
Quote
Bibtext :
@article{loger:hal-04556151,
TITLE = {{Approximate Kernel Learning Uncertainty Set for Robust Combinatorial
Optimization}},
AUTHOR = {Loger, Beno{\^i}t and Dolgui, Alexandre and Lehu{\'e}d{\'e}, Fabien
and Massonnet, Guillaume},
URL = {https://hal.science/hal-04556151},
JOURNAL = {{INFORMS Journal on Computing}},
PUBLISHER = {{Institute for Operations Research and the Management Sciences
(INFORMS)}},
YEAR = {2024},
MONTH = Jan,
DOI = {10.1287/ijoc.2022.0330},
HAL_ID = {hal-04556151},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Approximate Kernel Learning Uncertainty Set for Robust Combinatorial
Optimization
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%A Loger, Benoît
%A Dolgui, Alexandre
%A Lehuédé, Fabien
%A Massonnet, Guillaume
%Z German-French Academy for the Industry of the Future in the DISC project
%< avec comité de lecture
%@ 1091-9856
%J INFORMS Journal on Computing
%I Institute for Operations Research and the Management Sciences (INFORMS)
%8 2024-01-10
%D 2024
%R 10.1287/ijoc.2022.0330
%Z Computer Science [cs]/Operations Research [math.OC]Journal articles
%X Support vector clustering (SVC) has been proposed in the literature as a
data-driven approach to build uncertainty sets in robust optimization.
Unfortunately, the resulting SVC-based uncertainty sets induces a large number
of additional variables and constraints in the robust counterpart of
mathematical formulations. We propose a two-phase method to approximate the
resulting uncertainty sets and overcome these tractability issues. This method
is controlled by a parameter defining a trade-off between the quality of the
approximation and the complexity of the robust models formulated. We evaluate
the approximation method on three distinct, well-known optimization problems.
Experimental results show that the approximated uncertainty set leads to
solutions that are comparable to those obtained with the classic SVC-based
uncertainty set with a significant reduction of the computation time. History:
Accepted by Andrea Lodi, Area Editor for Design and Analysis of
Algorithms—Discrete. Funding: This work was supported by the German-French
Academy for the Industry of the Future [Data-driven collaboration in Industrial
Supply Chains project].
%G English
%L hal-04556151
%U https://hal.science/hal-04556151
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ UNAM
%~ TDS-MACS
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
Chu Chengbin, Chu Feng, Dolgui Alexandre, Nagi Rakesh, Xie Xiaolan
Special issue in memory of Dr. Jean-Marie Proth (7.12.1938–17.06.2021)
International Journal of Production Research, 2024, 62 (1-2), pp.1 - 6.
⟨10.1080/00207543.2023.2287400⟩
FileDetails
Quote
Bibtext :
@article{chu:hal-04418122,
TITLE = {{Special issue in memory of Dr. Jean-Marie Proth
(7.12.1938--17.06.2021)}},
AUTHOR = {Chu, Chengbin and Chu, Feng and Dolgui, Alexandre and Nagi, Rakesh and
Xie, Xiaolan},
URL = {https://hal.science/hal-04418122},
JOURNAL = {{International Journal of Production Research}},
PUBLISHER = {{Taylor \& Francis}},
VOLUME = {62},
NUMBER = {1-2},
PAGES = {1 - 6},
YEAR = {2024},
MONTH = Jan,
DOI = {10.1080/00207543.2023.2287400},
KEYWORDS = {bin-packing ; discrete event systems ; facility layout. ; data
analysis ; Production planning and control ; scheduling ; assembly line
balancing},
PDF =
{https://hal.science/hal-04418122/file/EDITORIAL%202024%20issues%201%20and%202%20SI%20in%20memory%20Dr%20Proth%20FINAL%20FINAL.pdf},
HAL_ID = {hal-04418122},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Special issue in memory of Dr. Jean-Marie Proth (7.12.1938–17.06.2021)
%+ ESIEE Paris
%+ Génie des Réseaux de Transport Terrestres et Informatique Avancée
(COSYS-GRETTIA )
%+ Informatique, BioInformatique, Systèmes Complexes (IBISC)
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%+ Singapore University of Technology and Design (SUTD)
%+ Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes
(LIMOS)
%A Chu, Chengbin
%A Chu, Feng
%A Dolgui, Alexandre
%A Nagi, Rakesh
%A Xie, Xiaolan
%< avec comité de lecture
%@ 0020-7543
%J International Journal of Production Research
%I Taylor & Francis
%V 62
%N 1-2
%P 1 - 6
%8 2024-01
%D 2024
%R 10.1080/00207543.2023.2287400
%K bin-packing
%K discrete event systems
%K facility layout.
%K data analysis
%K Production planning and control
%K scheduling
%K assembly line balancing
%Z Computer Science [cs]/Automatic Control Engineering
%Z Computer Science [cs]/Operations Research [math.OC]Journal articles
%X Issues 1 and 2 of 2024 are composed of papers selected for the special
section in memory of Dr Jean-Marie Proth. Some papers are extended versions of
articles presented at the 10th IFAC MIM 2022 conference
(hub.imtatlantique.fr/mim2022/) in the invited sessions in memory of Dr. Proth.
%G English
%2 https://hal.science/hal-04418122/document
%2
https://hal.science/hal-04418122/file/EDITORIAL%202024%20issues%201%20and%202%20SI%20in%20memory%20Dr%20Proth%20FINAL%20FINAL.pdf
%L hal-04418122
%U https://hal.science/hal-04418122
%~ INSTITUT-TELECOM
%~ PRES_CLERMONT
%~ CNRS
%~ INRIA
%~ UNIV-EVRY
%~ EC-NANTES
%~ IBISC
%~ LORIA2
%~ LIMOS
%~ UNAM
%~ IBISC-AROBAS
%~ IFSTTAR
%~ TDS-MACS
%~ LS2N
%~ UNIV-PARIS-SACLAY
%~ UNIV-EVRY-SACLAY
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ UNIVERSITE-PARIS-SACLAY
%~ GS-COMPUTER-SCIENCE
%~ GS-LIFE-SCIENCES-HEALTH
%~ GS-SPORT-HUMAN-MOVEMENT
%~ CLERMONT-AUVERGNE-INP
%~ UNIV-EIFFEL
%~ U-EIFFEL
%~ ESIEE-UNIVEIFFEL
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
%~ COSYS
%~ INRIA-SINGAPOUR
%~ TEST-SEBASTIEN1
Battaïa Olga, Dolgui Alexandre, Guschinsky Nikolai
An exact method for machining lines design with equipment selection and line
balancing
International Journal of Production Research, 2024, Special issue in memory of
Dr. Jean-Marie Proth, 62 (1-2), pp.71-91. ⟨10.1080/00207543.2023.2289182⟩
FileDetails
Quote
Bibtext :
@article{battaia:hal-04418105,
TITLE = {{An exact method for machining lines design with equipment selection
and line balancing}},
AUTHOR = {Batta{\"i}a, Olga and Dolgui, Alexandre and Guschinsky, Nikolai},
URL = {https://hal.science/hal-04418105},
JOURNAL = {{International Journal of Production Research}},
PUBLISHER = {{Taylor \& Francis}},
SERIES = {Special issue in memory of Dr. Jean-Marie Proth},
VOLUME = {62},
NUMBER = {1-2},
PAGES = {71-91},
YEAR = {2024},
DOI = {10.1080/00207543.2023.2289182},
KEYWORDS = {Assembly line balancing ; CAPP ; Combinatorial optimisation ;
Decision support systems ; Flow lines ; Mixed Integer Linear Programming ;
Machining systems design ; Machining processes},
PDF =
{https://hal.science/hal-04418105v2/file/IJPR%20Olga%20and%20Nikolai%20Web.pdf},
HAL_ID = {hal-04418105},
HAL_VERSION = {v2},
}
Endnote :
%0 Journal Article
%T An exact method for machining lines design with equipment selection and line
balancing
%+ Kedge Business School (Kedge BS)
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%+ United Institute of Informatics Problems (UIIP [Minsk])
%A Battaïa, Olga
%A Dolgui, Alexandre
%A Guschinsky, Nikolai
%< avec comité de lecture
%@ 0020-7543
%J International Journal of Production Research
%I Taylor & Francis
%S Special issue in memory of Dr. Jean-Marie Proth
%V 62
%N 1-2
%P 71-91
%8 2024
%D 2024
%R 10.1080/00207543.2023.2289182
%K Assembly line balancing
%K CAPP
%K Combinatorial optimisation
%K Decision support systems
%K Flow lines
%K Mixed Integer Linear Programming
%K Machining systems design
%K Machining processes
%Z Computer Science [cs]/Operations Research [math.OC]
%Z Computer Science [cs]/Automatic Control Engineering
%Z Engineering Sciences [physics]/OtherJournal articles
%X We study a line balancing problem for a machining line equipped with
multi-positional machines, rotary tables and vertical and horizontal machining
modules. For this challenging problem in production research, we develop an
innovative mathematical model and use a mixed-integer program to solve it. The
model is intensively tested on numerous real-life industrial cases as well as
generated randomly instances. The obtained results are carefully analysed in
order to provide the decision makers with sound managerial insights.
%G English
%2 https://hal.science/hal-04418105v2/document
%2 https://hal.science/hal-04418105v2/file/IJPR%20Olga%20and%20Nikolai%20Web.pdf
%L hal-04418105
%U https://hal.science/hal-04418105
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ UNAM
%~ TDS-MACS
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ KEDGE-BS
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
Elyasi Milad, Özener Okan Örsan, Yanıkoğlu İhsan, Ekici Ali, Dolgui Alexandre
A column generation-based approach for the adaptive stochastic blood donation
tailoring problem
International Journal of Production Research, 2023, pp.1-26.
⟨10.1080/00207543.2023.2288866⟩
FileDetails
Quote
Bibtext :
@article{elyasi:hal-04324263,
TITLE = {{A column generation-based approach for the adaptive stochastic blood
donation tailoring problem}},
AUTHOR = {Elyasi, Milad and {\"O}zener, Okan {\"O}rsan and Yan{\i}ko{\u g}lu,
İhsan and Ekici, Ali and Dolgui, Alexandre},
URL = {https://hal.science/hal-04324263},
JOURNAL = {{International Journal of Production Research}},
PUBLISHER = {{Taylor \& Francis}},
PAGES = {1-26},
YEAR = {2023},
MONTH = Dec,
DOI = {10.1080/00207543.2023.2288866},
KEYWORDS = {Stochastic methods ; Blood supply chain ; Column generation ;
Multicomponent apheresis},
PDF =
{https://hal.science/hal-04324263/file/A_Column_Generation_based_Approach_for_the_Adaptive_Stochastic_Blood_Donation_Tailoring_Problem__Submitted_%20%281%29.pdf},
HAL_ID = {hal-04324263},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T A column generation-based approach for the adaptive stochastic blood donation
tailoring problem
%+ IMT Atlantique (IMT Atlantique)
%+ Özyeğin University
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%A Elyasi, Milad
%A Özener, Okan Örsan
%A Yanıkoğlu, İhsan
%A Ekici, Ali
%A Dolgui, Alexandre
%< avec comité de lecture
%@ 0020-7543
%J International Journal of Production Research
%I Taylor & Francis
%P 1-26
%8 2023-12
%D 2023
%R 10.1080/00207543.2023.2288866
%K Stochastic methods
%K Blood supply chain
%K Column generation
%K Multicomponent apheresis
%Z Computer Science [cs]/Operations Research [math.OC]
%Z Computer Science [cs]
%Z Life Sciences [q-bio]/Ecology, environment/HealthJournal articles
%X Managing blood donations is a challenging problem due to the perishability of
blood, limited donor pool, deferral time restrictions, and demand uncertainty.
The problem addressed here combines two important aspects of blood supply chain
management: the inventory control of blood products and the donation schedule.
We propose a stochastic scenario-based reformulation of the blood donation
management problem that adopts multicomponent apheresis and utilizes donor pool
segmentation into here-and-now and wait-and-see donors. We propose a flexible
donation scheme that is resilient against demand uncertainty. This scheme
enables more flexible donation schedules because wait-and-see donors may adjust
their donation schedules according to the realized values of demand over time.
We propose a column generation\bl{-based} approach to solve the associated
multi-stage stochastic donation tailoring problem. The numerical results show
the effectiveness of the proposed optimization model, which provides solutions
with less than a 7% optimality gap on average with respect to a lower bound. It
also improves the operational cost of the standard donation scheme that does not
use wait-and-see donors by more than 18% on average. Utilizing multicomponent
apheresis and flexible wait-and-see donations are suggested for donation
organizations because they yield significant cost reductions and resilient
donation schedules.
%G English
%2 https://hal.science/hal-04324263/document
%2
https://hal.science/hal-04324263/file/A_Column_Generation_based_Approach_for_the_Adaptive_Stochastic_Blood_Donation_Tailoring_Problem__Submitted_%20%281%29.pdf
%L hal-04324263
%U https://hal.science/hal-04324263
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ GIP-BE
%~ UNAM
%~ TDS-MACS
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
Elyasi Milad, Altan Başak, Ekici Ali, Özener Okan Örsan, Yanıkoğlu İhsan,
Dolgui Alexandre
Production planning with flexible manufacturing systems under demand uncertainty
International Journal of Production Research, 2023, 1-2, pp.157-170.
⟨10.1080/00207543.2023.2288722⟩
FileDetails
Quote
Bibtext :
@article{elyasi:hal-04313121,
TITLE = {{Production planning with flexible manufacturing systems under demand
uncertainty}},
AUTHOR = {Elyasi, Milad and Altan, Ba{\c s}ak and Ekici, Ali and {\"O}zener,
Okan {\"O}rsan and Yan{\i}ko{\u g}lu, İhsan and Dolgui, Alexandre},
URL = {https://hal.science/hal-04313121},
JOURNAL = {{International Journal of Production Research}},
PUBLISHER = {{Taylor \& Francis}},
NUMBER = {1-2},
PAGES = {157-170},
YEAR = {2023},
MONTH = Nov,
DOI = {10.1080/00207543.2023.2288722},
KEYWORDS = {Inventory control ; Production planning ; Scheduling ; Flexible
Manufacturing System ; Stochastic Optimisation ; Inventory control},
PDF =
{https://hal.science/hal-04313121/file/Production_Planning_with_Flexible_Manufacturing_Systems_under_Demand_Uncertainty__Submission_%20%281%29.pdf},
HAL_ID = {hal-04313121},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Production planning with flexible manufacturing systems under demand
uncertainty
%+ IMT Atlantique (IMT Atlantique)
%+ Department of Economics [Istanbul]
%+ Department of Industrial Engineering, Yildiz Technical University, 34349
Yildiz, Istanbul, (TURKEY)
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%A Elyasi, Milad
%A Altan, Başak
%A Ekici, Ali
%A Özener, Okan Örsan
%A Yanıkoğlu, İhsan
%A Dolgui, Alexandre
%< avec comité de lecture
%@ 0020-7543
%J International Journal of Production Research
%I Taylor & Francis
%N 1-2
%P 157-170
%8 2023-11-28
%D 2023
%R 10.1080/00207543.2023.2288722
%K Inventory control
%K Production planning
%K Scheduling
%K Flexible Manufacturing System
%K Stochastic Optimisation
%K Inventory control
%Z Computer Science [cs]/Operations Research [math.OC]Journal articles
%X This paper delves into the impacts of an ongoing global crisis on the
resilience of supply chains. Furthermore, it proposes measures to address and
mitigate the disruptions caused by the prevailing uncertainties. For example,
while the economy has started to recover after the pandemic and demand has
increased, companies have not fully returned to their pre-pandemic levels. To
enhance their supply chain resilience and effectively manage disruptions, one
viable strategy is the implementation of flexible/hybrid manufacturing systems.
This research is motivated by the specific requirements of Vestel Electronics, a
household appliances company, which seeks a flexible/hybrid manufacturing
production setup involving dedicated machinery to meet regular demand and the
utilisation of flexible manufacturing system (FMS) to handle surges in demand.
We employ a scenario-based approach to model demand uncertainty, enabling the
company to make immediate and adaptive decisions that take advantage of the
cost-effectiveness of standard production and the responsiveness of FMS. To
solve the problem, we propose a heuristic algorithm based on column generation.
The numerical results demonstrate that our optimisation model provides solutions
with an average optimality gap of less than 6% while also reducing the average
cost of standard production schemes without FMS by over 12%.
%G English
%2 https://hal.science/hal-04313121/document
%2
https://hal.science/hal-04313121/file/Production_Planning_with_Flexible_Manufacturing_Systems_under_Demand_Uncertainty__Submission_%20%281%29.pdf
%L hal-04313121
%U https://hal.science/hal-04313121
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ UNAM
%~ TDS-MACS
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
Vahdani Behnam, Mohammadi Mehrdad, Thevenin Simon, Gendreau Michel, Dolgui
Alexandre, Meyer Patrick
Fair-split distribution of multi-dose vaccines with prioritized age groups and
dynamic demand: The case study of COVID-19
European Journal of Operational Research, 2023, 310 (3), pp.1249-1272.
⟨10.1016/j.ejor.2023.03.032⟩
FileDetails
Quote
Bibtext :
@article{vahdani:hal-04232211,
TITLE = {{Fair-split distribution of multi-dose vaccines with prioritized age
groups and dynamic demand: The case study of COVID-19}},
AUTHOR = {Vahdani, Behnam and Mohammadi, Mehrdad and Thevenin, Simon and
Gendreau, Michel and Dolgui, Alexandre and Meyer, Patrick},
URL = {https://hal.science/hal-04232211},
JOURNAL = {{European Journal of Operational Research}},
PUBLISHER = {{Elsevier}},
VOLUME = {310},
NUMBER = {3},
PAGES = {1249-1272},
YEAR = {2023},
MONTH = Nov,
DOI = {10.1016/j.ejor.2023.03.032},
KEYWORDS = {Distribution ; Vaccine distribution ; Fairness ; Dynamic demand ;
Benders decomposition},
PDF = {https://hal.science/hal-04232211/file/1-s2.0-S0377221723002564-main.pdf},
HAL_ID = {hal-04232211},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Fair-split distribution of multi-dose vaccines with prioritized age groups
and dynamic demand: The case study of COVID-19
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Equipe DECIDE (Lab-STICC_DECIDE)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%+ Laboratoire CIRRELT Université Laval Quebec (CIRRELT)
%+ Département Logique des Usages, Sciences sociales et Sciences de
l'Information (IMT Atlantique - LUSSI)
%A Vahdani, Behnam
%A Mohammadi, Mehrdad
%A Thevenin, Simon
%A Gendreau, Michel
%A Dolgui, Alexandre
%A Meyer, Patrick
%< avec comité de lecture
%@ 0377-2217
%J European Journal of Operational Research
%I Elsevier
%V 310
%N 3
%P 1249-1272
%8 2023-11
%D 2023
%R 10.1016/j.ejor.2023.03.032
%K Distribution
%K Vaccine distribution
%K Fairness
%K Dynamic demand
%K Benders decomposition
%Z Computer Science [cs]/Operations Research [math.OC]
%Z Life Sciences [q-bio]/Immunology/VaccinologyJournal articles
%X The emergence of the SARS-CoV-2 virus and new viral variations with higher
transmission and mortality rates have highlighted the urgency to accelerate
vaccination to mitigate the morbidity and mortality of the COVID-19 pandemic.
For this purpose, this paper formulates a new multi-vaccine, multi-depot
location-inventory-routing problem for vaccine distribution. The proposed model
addresses a wide variety of vaccination concerns: prioritizing age groups, fair
distribution, multi-dose injection, dynamic demand, etc. To solve large-size
instances of the model, we employ a Benders decomposition algorithm with a
number of acceleration techniques. To monitor the dynamic demand of vaccines, we
propose a new adjusted susceptible-infectious-recovered (SIR) epidemiological
model, where infected individuals are tested and quarantined. The solution to
the optimal control problem dynamically allocates the vaccine demand to reach
the endemic equilibrium point. Finally, to illustrate the applicability and
performance of the proposed model and solution approach, the paper reports
extensive numerical experiments on a real case study of the vaccination campaign
in France. The computational results show that the proposed Benders
decomposition algorithm is 12 times faster, and its solutions are, on average,
16% better in terms of quality than the Gurobi solver under a limited CPU time.
In terms of vaccination strategies, our results suggest that delaying the
recommended time interval between doses of injection by a factor of 1.5 reduces
the unmet demand up to 50%. Furthermore, we observed that the mortality is a
convex function of fairness and an appropriate level of fairness should be
adapted through the vaccination
%G English
%2 https://hal.science/hal-04232211/document
%2 https://hal.science/hal-04232211/file/1-s2.0-S0377221723002564-main.pdf
%L hal-04232211
%U https://hal.science/hal-04232211
%~ UNIV-BREST
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ UNIV-UBS
%~ EC-NANTES
%~ LAB-STICC_UBO
%~ UNAM
%~ ENIB
%~ LAB-STICC
%~ TDS-MACS
%~ LS2N
%~ IMTA_LUSSI
%~ IMTA_DAPI
%~ LAB-STICC_IMTA
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LAB-STICC_DECIDE_IMTA
%~ LAB-STICC_DECIDE
%~ LAB-STICC_DMID
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
%~ INRIA-CANADA
All Articles
CONFERENCE PAPERS
Arbi Siwar, Cerqueus Audrey, Gurevsky Evgeny, Dolgui Alexandre, Siadat Ali
A hyper-volume based metric for scalable design of reconfigurable manufacturing
systems with multiple objectives
2nd Congress of the Society of Automatics, Industrial Engineering and Production
(SAGIP 2024), May 2024, Villeubanne, France
Details
Quote
Bibtext :
@inproceedings{arbi:hal-04531398,
TITLE = {{A hyper-volume based metric for scalable design of reconfigurable
manufacturing systems with multiple objectives}},
AUTHOR = {Arbi, Siwar and Cerqueus, Audrey and Gurevsky, Evgeny and Dolgui,
Alexandre and Siadat, Ali},
URL = {https://hal.science/hal-04531398},
BOOKTITLE = {{2nd Congress of the Society of Automatics, Industrial Engineering
and Production (SAGIP 2024)}},
ADDRESS = {Villeubanne, France},
YEAR = {2024},
MONTH = May,
HAL_ID = {hal-04531398},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T A hyper-volume based metric for scalable design of reconfigurable
manufacturing systems with multiple objectives
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ IMT Atlantique (IMT Atlantique)
%+ Laboratoire de Conception Fabrication Commande (LCFC)
%A Arbi, Siwar
%A Cerqueus, Audrey
%A Gurevsky, Evgeny
%A Dolgui, Alexandre
%A Siadat, Ali
%< avec comité de lecture
%B 2nd Congress of the Society of Automatics, Industrial Engineering and
Production (SAGIP 2024)
%C Villeubanne, France
%8 2024-05-29
%D 2024
%Z Computer Science [cs]Conference papers
%G English
%L hal-04531398
%U https://hal.science/hal-04531398
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ ENSAM
%~ UNAM
%~ UNIV-LORRAINE
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ LCFC-UL
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
%~ HESAM
%~ HESAM-ENSAM
%~ IRENAV
%~ LAMPA
%~ LCPI
%~ LABOMAP
%~ LISPEN
%~ MSMP
Arbi Siwar, Cerqueus Audrey, Gurevsky Evgeny, Dolgui Alexandre, Siadat Ali
A literature review of optimization problems focused on scalability aspects for
manufacturing systems
25th Congress of the French Society of Operations Research and Decision Aid
(ROADEF 2024), Mar 2024, Amiens, France
Details
Quote
Bibtext :
@inproceedings{arbi:hal-04451795,
TITLE = {{A literature review of optimization problems focused on scalability
aspects for manufacturing systems}},
AUTHOR = {Arbi, Siwar and Cerqueus, Audrey and Gurevsky, Evgeny and Dolgui,
Alexandre and Siadat, Ali},
URL = {https://hal.science/hal-04451795},
BOOKTITLE = {{25th Congress of the French Society of Operations Research and
Decision Aid (ROADEF 2024)}},
ADDRESS = {Amiens, France},
YEAR = {2024},
MONTH = Mar,
HAL_ID = {hal-04451795},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T A literature review of optimization problems focused on scalability aspects
for manufacturing systems
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%+ IMT Atlantique (IMT Atlantique)
%+ Laboratoire de Conception Fabrication Commande (LCFC)
%A Arbi, Siwar
%A Cerqueus, Audrey
%A Gurevsky, Evgeny
%A Dolgui, Alexandre
%A Siadat, Ali
%< avec comité de lecture
%B 25th Congress of the French Society of Operations Research and Decision Aid
(ROADEF 2024)
%C Amiens, France
%8 2024-03-04
%D 2024
%Z Computer Science [cs]Conference papers
%G English
%L hal-04451795
%U https://hal.science/hal-04451795
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ ENSAM
%~ UNAM
%~ UNIV-LORRAINE
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ LCFC-UL
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
%~ HESAM
%~ HESAM-ENSAM
%~ IRENAV
%~ LAMPA
%~ LCPI
%~ LABOMAP
%~ LISPEN
%~ MSMP
Luo Dan, Thevenin Simon, Dolgui Alexandre
Stochastic optimization for multi-echelons multi-items capacitated lot-sizing
problem under uncertain demand and capacity disruptions
ODSIE 2023, Nov 2023, Istanbul, Turkey
Details
Quote
Bibtext :
@inproceedings{luo:hal-04418616,
TITLE = {{Stochastic optimization for multi-echelons multi-items capacitated
lot-sizing problem under uncertain demand and capacity disruptions}},
AUTHOR = {Luo, Dan and Thevenin, Simon and Dolgui, Alexandre},
URL = {https://hal.science/hal-04418616},
BOOKTITLE = {{ODSIE 2023}},
ADDRESS = {Istanbul, Turkey},
YEAR = {2023},
MONTH = Nov,
HAL_ID = {hal-04418616},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Stochastic optimization for multi-echelons multi-items capacitated lot-sizing
problem under uncertain demand and capacity disruptions
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Systèmes Logistiques et de Production (LS2N - équipe SLP )
%+ Laboratoire des Sciences du Numérique de Nantes (LS2N)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%A Luo, Dan
%A Thevenin, Simon
%A Dolgui, Alexandre
%< avec comité de lecture
%B ODSIE 2023
%C Istanbul, Turkey
%8 2023-11-17
%D 2023
%Z Computer Science [cs]
%Z Computer Science [cs]/Automatic Control Engineering
%Z Computer Science [cs]/Operations Research [math.OC]Conference papers
%G English
%L hal-04418616
%U https://hal.science/hal-04418616
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ UNAM
%~ TDS-MACS
%~ LS2N
%~ LS2N-SLP-IMTA
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
Dolgui Alexandre
Focus on the European project ASSISTANT (Horizon 2020)
AIAMMS 2023, JECRC University, Nov 2023, Jaipur, India
Details
Quote
Bibtext :
@inproceedings{dolgui:hal-04418419,
TITLE = {{Focus on the European project ASSISTANT (Horizon 2020)}},
AUTHOR = {Dolgui, Alexandre},
URL = {https://hal.science/hal-04418419},
BOOKTITLE = {{AIAMMS 2023}},
ADDRESS = {Jaipur, India},
ORGANIZATION = {{JECRC University}},
YEAR = {2023},
MONTH = Nov,
HAL_ID = {hal-04418419},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Focus on the European project ASSISTANT (Horizon 2020)
%T An invited plenary keynote talk
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%A Dolgui, Alexandre
%< avec comité de lecture
%B AIAMMS 2023
%C Jaipur, India
%8 2023-11-03
%D 2023
%Z Computer Science [cs]
%Z Computer Science [cs]/Automatic Control Engineering
%Z Computer Science [cs]/Operations Research [math.OC]Conference papers
%G English
%L hal-04418419
%U https://hal.science/hal-04418419
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ UNAM
%~ TDS-MACS
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
Arbi Siwar, Cerqueus Audrey, Gurevsky Evgeny, Dolgui Alexandre, Siadat Ali
Simulated annealing for a bi-objective-based scalable balancing of a
reconfigurable assembly line under uncertainty and limited resources
50th International Conference on Computers & Industrial Engineering (CIE50), Oct
2023, Sharjah, United Arab Emirates
Details
Quote
Bibtext :
@inproceedings{arbi:hal-04199608,
TITLE = {{Simulated annealing for a bi-objective-based scalable balancing of a
reconfigurable assembly line under uncertainty and limited resources}},
AUTHOR = {Arbi, Siwar and Cerqueus, Audrey and Gurevsky, Evgeny and Dolgui,
Alexandre and Siadat, Ali},
URL = {https://hal.science/hal-04199608},
BOOKTITLE = {{50th International Conference on Computers \& Industrial
Engineering (CIE50)}},
ADDRESS = {Sharjah, United Arab Emirates},
YEAR = {2023},
MONTH = Oct,
HAL_ID = {hal-04199608},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Simulated annealing for a bi-objective-based scalable balancing of a
reconfigurable assembly line under uncertainty and limited resources
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Laboratoire de Conception Fabrication Commande (LCFC)
%A Arbi, Siwar
%A Cerqueus, Audrey
%A Gurevsky, Evgeny
%A Dolgui, Alexandre
%A Siadat, Ali
%< avec comité de lecture
%B 50th International Conference on Computers & Industrial Engineering (CIE50)
%C Sharjah, United Arab Emirates
%8 2023-10-30
%D 2023
%Z Computer Science [cs]Conference papers
%G English
%L hal-04199608
%U https://hal.science/hal-04199608
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ ENSAM
%~ UNAM
%~ UNIV-LORRAINE
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ LCFC-UL
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
%~ HESAM
%~ HESAM-ENSAM
%~ IRENAV
%~ LAMPA
%~ LCPI
%~ LABOMAP
%~ LISPEN
%~ MSMP
Slama Ilhem, Ben-Ammar Oussama, Thevenin Simon, Dolgui Alexandre
Stochastic approaches for multi-echelon disassembly lot-sizing under random lead
times
CIE50 Proceedings, American University of Sharjah, Oct 2023, Sharjah, United
Arab Emirates
FileDetails
Quote
Bibtext :
@inproceedings{slama:hal-04292083,
TITLE = {{Stochastic approaches for multi-echelon disassembly lot-sizing under
random lead times}},
AUTHOR = {Slama, Ilhem and Ben-Ammar, Oussama and Thevenin, Simon and Dolgui,
Alexandre},
URL = {https://imt-mines-ales.hal.science/hal-04292083},
BOOKTITLE = {{CIE50 Proceedings}},
ADDRESS = {Sharjah, United Arab Emirates},
ORGANIZATION = {{American University of Sharjah}},
YEAR = {2023},
MONTH = Oct,
KEYWORDS = {Reverse logistic ; disassembly lot-sizing ; random lead time ;
stochastic programming},
PDF =
{https://imt-mines-ales.hal.science/hal-04292083/file/CIE50_paper_211.pdf},
HAL_ID = {hal-04292083},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Proceedings
%T Stochastic approaches for multi-echelon disassembly lot-sizing under random
lead times
%+ Laboratoire Informatique et Société Numérique (LIST3N)
%+ EuroMov - Digital Health in Motion (Euromov DHM)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%A Slama, Ilhem
%A Ben-Ammar, Oussama
%A Thevenin, Simon
%A Dolgui, Alexandre
%< avec comité de lecture
%B CIE50 Proceedings
%C Sharjah, United Arab Emirates
%8 2023-10-30
%D 2023
%K Reverse logistic
%K disassembly lot-sizing
%K random lead time
%K stochastic programming
%Z Computer Science [cs]/Operations Research [math.OC]Conference papers
%X With the increasing focus on environmental issues, manufacturers are facing
pressure to adopt end-of-life item collection practices and maximize the reuse
of components or sub-assemblies to their fullest potential. The decision-making
processes for disassembly planning and components inventory management become
critical as they directly impact a company's production costs and service level.
In this particular context, Reverse Material Requirements Planning (RMRP) is a
widely utilized method to determine the optimal lot sizes of endof-life (EoL)
products for disassembly, ensuring sufficient component supply. Traditionally,
these lot sizes are calculated based on deterministic and dynamic demand
assumptions when disassembly lead times are either zero or deterministic.
However, in this work, we investigate optimization approaches for RMRP systems
that consider disassembly lead time uncertainties, in a disassembly
multi-echelon lot-sizing problem. We proposed stochastic programming models
based on a Monte Carlo simulation approach whose performance is validated that
are validated Their performance is validated on several numerical tests.
%G English
%2 https://imt-mines-ales.hal.science/hal-04292083/document
%2 https://imt-mines-ales.hal.science/hal-04292083/file/CIE50_paper_211.pdf
%L hal-04292083
%U https://imt-mines-ales.hal.science/hal-04292083
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%~ UM-2015-2021
%~ UM-EPE
Dolgui Alexandre
LeArning and robuSt deciSIon SupporT systems for agile mANufacTuring
environments (ASSISTANT)
The 20th IEEE International Conference on Networking, Sensing and Control, IEEE,
Oct 2023, Marseille, France
Details
Quote
Bibtext :
@inproceedings{dolgui:hal-04418376,
TITLE = {{LeArning and robuSt deciSIon SupporT systems for agile mANufacTuring
environments (ASSISTANT)}},
AUTHOR = {Dolgui, Alexandre},
URL = {https://hal.science/hal-04418376},
BOOKTITLE = {{The 20th IEEE International Conference on Networking, Sensing and
Control}},
ADDRESS = {Marseille, France},
ORGANIZATION = {{IEEE}},
EDITOR = {IEEE},
YEAR = {2023},
MONTH = Oct,
HAL_ID = {hal-04418376},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T LeArning and robuSt deciSIon SupporT systems for agile mANufacTuring
environments (ASSISTANT)
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%A Dolgui, Alexandre
%< avec comité de lecture
%B The 20th IEEE International Conference on Networking, Sensing and Control
%C Marseille, France
%Y IEEE
%8 2023-10-25
%D 2023
%Z Computer Science [cs]
%Z Computer Science [cs]/Automatic Control Engineering
%Z Computer Science [cs]/Operations Research [math.OC]Conference papers
%G English
%L hal-04418376
%U https://hal.science/hal-04418376
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ OPENAIRE
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%~ TDS-MACS
%~ LS2N
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%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
Dolgui Alexandre
Optimization and AI are key components of the industry of the future
ICSIF 2023 Conference, Rabat, Marocco, October 24,, Oct 2023, Rabat, Morocco
Details
Quote
Bibtext :
@inproceedings{dolgui:hal-04418399,
TITLE = {{Optimization and AI are key components of the industry of the
future}},
AUTHOR = {Dolgui, Alexandre},
URL = {https://hal.science/hal-04418399},
BOOKTITLE = {{ICSIF 2023 Conference, Rabat, Marocco, October 24,}},
ADDRESS = {Rabat, Morocco},
YEAR = {2023},
MONTH = Oct,
HAL_ID = {hal-04418399},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Optimization and AI are key components of the industry of the future
%T The European project ASSISTANT (An invited keynote talk)
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%A Dolgui, Alexandre
%< avec comité de lecture
%B ICSIF 2023 Conference, Rabat, Marocco, October 24,
%C Rabat, Morocco
%8 2023-10-23
%D 2023
%Z Computer Science [cs]
%Z Computer Science [cs]/Automatic Control Engineering
%Z Computer Science [cs]/Operations Research [math.OC]Conference papers
%G English
%L hal-04418399
%U https://hal.science/hal-04418399
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%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ UNAM
%~ TDS-MACS
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
Dolgui Alexandre, Sippl Fabian
ASSISTANT – Learning and robust decision support systems for agile manufacturing
environments
Here.We.Go - The Future Industry Forum of the French-German Academy of the
Industry of the Future, Oct 2023, Munich, Germany
Details
Quote
Bibtext :
@inproceedings{dolgui:hal-04418364,
TITLE = {{ASSISTANT -- Learning and robust decision support systems for agile
manufacturing environments}},
AUTHOR = {Dolgui, Alexandre and Sippl, Fabian},
URL = {https://hal.science/hal-04418364},
BOOKTITLE = {{Here.We.Go - The Future Industry Forum of the French-German
Academy of the Industry of the Future}},
ADDRESS = {Munich, Germany},
YEAR = {2023},
MONTH = Oct,
HAL_ID = {hal-04418364},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T ASSISTANT – Learning and robust decision support systems for agile
manufacturing environments
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%+ Technische Universität Munchen - Technical University Munich - Université
Technique de Munich (TUM)
%A Dolgui, Alexandre
%A Sippl, Fabian
%< avec comité de lecture
%B Here.We.Go - The Future Industry Forum of the French-German Academy of the
Industry of the Future
%C Munich, Germany
%8 2023-10-17
%D 2023
%Z Computer Science [cs]
%Z Computer Science [cs]/Automatic Control Engineering
%Z Computer Science [cs]/Operations Research [math.OC]Conference papers
%G English
%L hal-04418364
%U https://hal.science/hal-04418364
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ UNAM
%~ TDS-MACS
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
%~ INRIA-ALLEMAGNE
Dolgui Alexandre
An overall presentation of the project ASSISTANT
EFFRA Manufacturing Partenership Day, European Commission, Sep 2023, Bruxelles,
Belgium
Details
Quote
Bibtext :
@inproceedings{dolgui:hal-04418413,
TITLE = {{An overall presentation of the project ASSISTANT}},
AUTHOR = {Dolgui, Alexandre},
URL = {https://hal.science/hal-04418413},
BOOKTITLE = {{EFFRA Manufacturing Partenership Day}},
ADDRESS = {Bruxelles, Belgium},
ORGANIZATION = {{European Commission}},
YEAR = {2023},
MONTH = Sep,
HAL_ID = {hal-04418413},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T An overall presentation of the project ASSISTANT
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les
Services (LS2N - équipe MODELIS)
%A Dolgui, Alexandre
%< avec comité de lecture
%B EFFRA Manufacturing Partenership Day
%C Bruxelles, Belgium
%8 2023-09-26
%D 2023
%Z Computer Science [cs]
%Z Computer Science [cs]/Automatic Control Engineering
%Z Computer Science [cs]/Operations Research [math.OC]Conference papers
%G English
%L hal-04418413
%U https://hal.science/hal-04418413
%~ INSTITUT-TELECOM
%~ CNRS
%~ INRIA
%~ EC-NANTES
%~ UNAM
%~ TDS-MACS
%~ LS2N
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ INRIA-AUT
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ NANTES-UNIV
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