www.smartmanufacturingnetwork.com
Open in
urlscan Pro
77.72.2.31
Public Scan
URL:
https://www.smartmanufacturingnetwork.com/course/industry-4-0-technology-data/
Submission: On February 13 via manual from US — Scanned from GB
Submission: On February 13 via manual from US — Scanned from GB
Form analysis 5 forms found in the DOM
GET
<form method="get" class="currency_switch_form"><button type="submit" name="aelia_cs_currency" value="GBP" class="currency_button GBP">GBP</button><button type="submit" name="aelia_cs_currency" value="EUR"
class="currency_button EUR active">EUR</button><button type="submit" name="aelia_cs_currency" value="USD" class="currency_button USD">USD</button></form>POST /course/industry-4-0-technology-data/#gf_4
<form method="post" enctype="multipart/form-data" target="gform_ajax_frame_4" id="gform_4" action="/course/industry-4-0-technology-data/#gf_4" novalidate="">
<div class="gform_body gform-body">
<ul id="gform_fields_4" class="gform_fields top_label form_sublabel_below description_below">
<li id="field_4_8" class="gfield gform_hidden field_sublabel_below field_description_below gfield_visibility_visible" data-js-reload="field_4_8">
<div class="ginput_container ginput_container_text"><input name="input_8" id="input_4_8" type="hidden" class="gform_hidden" aria-invalid="false" value="8241"></div>
</li>
<li id="field_4_1" class="gfield gfield_contains_required field_sublabel_above field_description_below gfield_visibility_visible" data-js-reload="field_4_1"><label class="gfield_label gfield_label_before_complex">Name<span
class="gfield_required"><span class="gfield_required gfield_required_asterisk">*</span></span></label>
<div class="ginput_complex ginput_container no_prefix has_first_name no_middle_name has_last_name no_suffix gf_name_has_2 ginput_container_name" id="input_4_1">
<span id="input_4_1_3_container" class="name_first">
<label for="input_4_1_3">First Name</label>
<input type="text" name="input_1.3" id="input_4_1_3" value="" aria-required="true">
</span>
<span id="input_4_1_6_container" class="name_last">
<label for="input_4_1_6">Last Name</label>
<input type="text" name="input_1.6" id="input_4_1_6" value="" aria-required="true">
</span>
</div>
</li>
<li id="field_4_3" class="gfield gf_left_half gfield_contains_required field_sublabel_below field_description_below gfield_visibility_visible" data-js-reload="field_4_3"><label class="gfield_label" for="input_4_3">Company Email Address<span
class="gfield_required"><span class="gfield_required gfield_required_asterisk">*</span></span></label>
<div class="ginput_container ginput_container_email">
<input name="input_3" id="input_4_3" type="email" value="" class="large" aria-required="true" aria-invalid="false">
</div>
</li>
<li id="field_4_7" class="gfield field_sublabel_below field_description_below hidden_label gfield_visibility_visible" data-js-reload="field_4_7"><label class="gfield_label gfield_label_before_complex">Sign Up</label>
<div class="ginput_container ginput_container_checkbox">
<ul class="gfield_checkbox" id="input_4_7">
<li class="gchoice gchoice_4_7_1">
<input class="gfield-choice-input" name="input_7.1" type="checkbox" value="Sign-up to our mailing list" id="choice_4_7_1">
<label for="choice_4_7_1" id="label_4_7_1">Sign-up to our mailing list</label>
</li>
</ul>
</div>
</li>
<li id="field_4_9" class="gfield gform_validation_container field_sublabel_below field_description_below gfield_visibility_visible" data-js-reload="field_4_9"><label class="gfield_label" for="input_4_9">Comments</label>
<div class="ginput_container"><input name="input_9" id="input_4_9" type="text" value="" autocomplete="new-password"></div>
<div class="gfield_description" id="gfield_description_4_9">This field is for validation purposes and should be left unchanged.</div>
</li>
</ul>
</div>
<div class="gform_footer top_label"> <input type="submit" id="gform_submit_button_4" class="gform_button button" value="Request download"
onclick="if(window["gf_submitting_4"]){return false;} if( !jQuery("#gform_4")[0].checkValidity || jQuery("#gform_4")[0].checkValidity()){window["gf_submitting_4"]=true;} "
onkeypress="if( event.keyCode == 13 ){ if(window["gf_submitting_4"]){return false;} if( !jQuery("#gform_4")[0].checkValidity || jQuery("#gform_4")[0].checkValidity()){window["gf_submitting_4"]=true;} jQuery("#gform_4").trigger("submit",[true]); }">
<input type="hidden" name="gform_ajax" value="form_id=4&title=&description=&tabindex=0">
<input type="hidden" class="gform_hidden" name="is_submit_4" value="1">
<input type="hidden" class="gform_hidden" name="gform_submit" value="4">
<input type="hidden" class="gform_hidden" name="gform_unique_id" value="">
<input type="hidden" class="gform_hidden" name="state_4" value="WyJbXSIsImM2NWNmNjAwODY5ZDUzNDMyNTViMGE0MWE5ZDM0ZDQ2Il0=">
<input type="hidden" class="gform_hidden" name="gform_target_page_number_4" id="gform_target_page_number_4" value="0">
<input type="hidden" class="gform_hidden" name="gform_source_page_number_4" id="gform_source_page_number_4" value="1">
<input type="hidden" name="gform_field_values" value="">
</div>
<p style="display: none !important;"><label>Δ<textarea name="ak_hp_textarea" cols="45" rows="8" maxlength="100"></textarea></label><input type="hidden" id="ak_js_1" name="ak_js" value="1676265525009">
<script>
document.getElementById("ak_js_1").setAttribute("value", (new Date()).getTime());
</script>
</p>
</form>GET
<form method="get" class="currency_switch_form"><button type="submit" name="aelia_cs_currency" value="GBP" class="currency_button GBP">GBP</button><button type="submit" name="aelia_cs_currency" value="EUR"
class="currency_button EUR active">EUR</button><button type="submit" name="aelia_cs_currency" value="USD" class="currency_button USD">USD</button></form>POST https://www.smartmanufacturingnetwork.com/cart/
<form id="tribe-tickets" action="https://www.smartmanufacturingnetwork.com/cart/" class="tribe-block tribe-tickets tribe-common" method="post" enctype="multipart/form-data" data-provider="Tribe__Tickets_Plus__Commerce__WooCommerce__Main"
autocomplete="off" data-provider-id="woo" novalidate="">
<h2 class="tribe-common-h4 tribe-common-h--alt tribe-tickets__title"> Delegate Passes </h2>
<input type="hidden" name="tribe_tickets_saving_attendees" value="1">
<input type="hidden" name="tribe_tickets_ar" value="1">
<input type="hidden" name="tribe_tickets_ar_data" value="" id="tribe_tickets_block_ar_data">
<div id="tribe-tickets__notice__tickets-in-cart" class="tribe-tickets__notice tribe-tickets__notice--barred tribe-tickets__notice--barred-left">
<div class="tribe-common-b2 tribe-tickets-notice__content tribe-common-b3"> The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change
ticket quantities. </div>
</div>
<input name="provider" value="Tribe__Tickets_Plus__Commerce__WooCommerce__Main" class="tribe-tickets-provider" type="hidden">
<div id="tribe-block-tickets-item-7958" class="tribe-tickets__item post-7958 product type-product status-publish product_cat-uncategorised cat_live-online-masterclass first instock virtual taxable purchasable product-type-simple"
data-ticket-id="7958" data-available="true" data-has-shared-cap="false">
<div class="tribe-common-h7 tribe-common-h6--min-medium tribe-tickets__item__content__title tribe-tickets--no-description"> Industry 4.0 Technology & Data</div>
<div class="tribe-tickets__item__extra">
<div class="tribe-common-b2 tribe-common-b1--min-medium tribe-tickets__item__extra__price">
<span class="tribe-tickets__sale_price">
<span class="tribe-formatted-currency-wrap tribe-currency-prefix">
<span class="tribe-currency-symbol">€</span>
<span class="tribe-amount">1,595</span>
</span>
</span>
</div>
<div class="tribe-common-b3 tribe-tickets__item__extra__available"> Unlimited </div>
</div>
<div class="tribe-common-h4 tribe-tickets__item__quantity">
<button class="tribe-tickets__item__quantity__remove" title="Decrease ticket quantity for Industry 4.0 Technology & Data" type="button">
<span class="screen-reader-text tribe-common-a11y-visual-hide">Decrease ticket quantity for Industry 4.0 Technology & Data</span> -</button>
<div class="tribe-tickets__item__quantity__number">
<label class="screen-reader-text" for="quantity_7958"> Quantity </label>
<input type="number" id="quantity_7958" class="tribe-common-h3 tribe-common-h4--min-medium tribe-tickets-quantity" step="1" min="0" max="100" value="0" autocomplete="off">
</div>
<button class="tribe-tickets__item__quantity__add" title="Increase ticket quantity for Industry 4.0 Technology & Data" type="button">
<span class="screen-reader-text tribe-common-a11y-visual-hide">Increase ticket quantity for Industry 4.0 Technology & Data</span> +</button>
</div>
<input name="attendee[optout]" value="1" type="hidden">
</div>
<div class="tribe-tickets__footer">
<div class="tribe-common-b2 tribe-tickets__footer__quantity">
<span class="tribe-tickets__footer__quantity__label"> Quantity: </span>
<span class="tribe-tickets__footer__quantity__number">0</span>
</div>
<div class="tribe-common-b2 tribe-tickets__footer__total">
<span class="tribe-tickets__footer__total__label"> Total: </span>
<span class="tribe-tickets__footer__total__wrap">
<span class="tribe-formatted-currency-wrap tribe-currency-prefix">
<span class="tribe-currency-symbol">€</span>
<span class="tribe-amount">0</span>
</span>
</span>
</div>
<button class="tribe-common-c-btn tribe-common-c-btn--small tribe-tickets__buy" id="tribe-tickets__buy" type="submit" name="cart-button" disabled="disabled" aria-disabled="true"> Book Now</button>
</div>
<div class="tribe-common">
<div class="tribe-tickets-loader__dots tribe-common-c-loader tribe-common-a11y-hidden tribe-tickets-loader__tickets-block">
<svg class="tribe-common-c-svgicon tribe-common-c-svgicon--dot tribe-common-c-loader__dot tribe-common-c-loader__dot--first" viewBox="0 0 15 15" xmlns="http://www.w3.org/2000/svg">
<circle cx="7.5" cy="7.5" r="7.5"></circle>
</svg>
<svg class="tribe-common-c-svgicon tribe-common-c-svgicon--dot tribe-common-c-loader__dot tribe-common-c-loader__dot--second" viewBox="0 0 15 15" xmlns="http://www.w3.org/2000/svg">
<circle cx="7.5" cy="7.5" r="7.5"></circle>
</svg>
<svg class="tribe-common-c-svgicon tribe-common-c-svgicon--dot tribe-common-c-loader__dot tribe-common-c-loader__dot--third" viewBox="0 0 15 15" xmlns="http://www.w3.org/2000/svg">
<circle cx="7.5" cy="7.5" r="7.5"></circle>
</svg>
</div>
</div>
</form>Name: mc-embedded-subscribe-form — POST https://smartmanufacturingnetwork.us10.list-manage.com/subscribe/post?u=184ffc4699eaae2e1bc350cb2&id=41dbd35f11
<form action="https://smartmanufacturingnetwork.us10.list-manage.com/subscribe/post?u=184ffc4699eaae2e1bc350cb2&id=41dbd35f11" method="post" id="mc-embedded-subscribe-form" name="mc-embedded-subscribe-form" class="validate" target="_blank"
novalidate="">
<div id="mc_embed_signup_scroll">
<div class="mc-field-group">
<input type="email" value="" name="EMAIL" class="required email" id="mce-EMAIL" placeholder="Company Email Address">
</div>
<div class="mc-field-group">
<input type="text" value="" name="FNAME" class="required" id="mce-FNAME" placeholder="First Name">
</div>
<div class="mc-field-group">
<input type="text" value="" name="LNAME" class="required" id="mce-LNAME" placeholder="Last Name">
</div>
<div class="mc-field-group">
<input type="text" value="" name="COMPANY" class="required" id="mce-COMPANY" placeholder="Company Name">
</div>
<div id="mce-responses" class="clear">
<div class="response" id="mce-error-response" style="display:none"></div>
<div class="response" id="mce-success-response" style="display:none"></div>
</div> <!-- real people should not fill this in and expect good things - do not remove this or risk form bot signups-->
<div style="position: absolute; left: -5000px;" aria-hidden="true"><input type="text" name="b_184ffc4699eaae2e1bc350cb2_41dbd35f11" tabindex="-1" value=""></div>
<div class="clear"><input type="submit" value="Sign Up" name="subscribe" id="mc-embedded-subscribe" class="button"></div>
</div>
</form>Text Content
GBPEURUSD
0 items Login
Login
*
* Live Online Masterclasses
* > All courses
* > Industry 4.0 Technology & Data
* > Industry 4.0 Strategy
* > Data Science & Artificial Intelligence
* > Digital Supply Chain 4.0
* > Reasons to attend
* > More information about our Live Online Masterclasses
* E-Learning
* Testimonials
* Insights
* Contact
* Contact us
* FAQs
* About us
*
* Live Online Masterclasses
* > All courses
* > Industry 4.0 Technology & Data
* > Industry 4.0 Strategy
* > Data Science & Artificial Intelligence
* > Digital Supply Chain 4.0
* > Reasons to attend
* > More information about our Live Online Masterclasses
* E-Learning
* Testimonials
* Insights
* Contact
* Contact us
* FAQs
* About us
Live Online Masterclasses
INDUSTRY 4.0 TECHNOLOGY & DATA: DIGITAL MANUFACTURING IN THE FACTORY OF THE
FUTURE
6 March 2023 (half-day)
7 March 2023 (half-day)
8 March 2023 (half-day)
10.5 hours of live online training
Book Now
* « Lean Transformation to Drive Business Performance: Leading and Sustaining
an Enterprise-Wide Continuous Improvement Strategy
* Industry 4.0 Strategy: Implementing a Successful Industry 4.0 Roadmap for a
Sustainable Digital Transformation »
Overview Agenda Meet the Tutor Who Should Attend? Benefits Book
MASTERCLASS OVERVIEW
Discover how smart manufacturing technology can be applied within your
enterprise to improve performance, quality and productivity. In this course led
by Professor Erwin Rauch, you will explore new opportunities for business growth
through digital manufacturing and learn how to prepare your company for the
game-changing potential of Industry 4.0 and the Factory of the Future.
* 6 March 2023 (half-day)
* 7 March 2023 (half-day)
* 8 March 2023 (half-day)
6 MARCH 2023 (HALF-DAY)
Identify the strategic opportunities and challenges that Industry 4.0 presents
for your firm and examine the essential elements of flexible automation and
advanced robotics in the Factory of the Future.
* Learn about the key technologies and future trends in Industry 4.0
* Discover practical applications of autonomous robotics and perception
technologies
* Explore an in-depth industrial case study on flexible human-robot
collaboration
* Join your peers in a group breakout exercise to examine how flexible
automation can be applied within your company
7 MARCH 2023 (HALF-DAY)
Learn how digital manufacturing and simulation tools can be applied to drive
improvements in factory efficiency. Understand the critical elements of data
integration, connectivity and interoperability when implementing smart
manufacturing solutions.
* Discover how Digital Twins and Digital Factory Planning can benefit your
organization
* Hear about industrial uses of Virtual, Augmented and Mixed Reality in the
Factory of the Future
* Achieve effective vertical data integration from ERP to machine-level
* Explore a case study on upgrading legacy-based factories with Industry 4.0
technologies and join your peers in a group exercise to discuss the
applications of Industrial IoT within your business
8 MARCH 2023 (HALF-DAY)
Unlock the enormous potential of artificial intelligence and data-driven
innovation for more agile and efficient manufacturing. Leverage the power of Big
Data Analytics to transform manufacturing performance.
* Explore the potential of Multi-Sensor Data Fusion and Data Lakes
* Learn about Cognitive Manufacturing with A.I. and the critical role of
Explainable A.I.
* Discuss the optimal applications of A.I. for your company during a guided
group exercise with peers
* Take an in-depth look at an industrial case study on automated in-process
quality inspection using A.I. and computer vision
"The presentations had excellent content. The real-world experience and
predictions of where the industry is going, as well as how these tools are
actually used today, was most useful." -- Smart Factory Manager, Greene Tweed
"The course took away the mystery surrounding Industry 4.0." -- Director
Advanced Operations, Stryker
“Good balance of understanding the landscape of what is possible/cutting edge
and discussions on the current state of businesses with opportunities to move
forward.” -- Global Director Quality, SMART Factory, Kohler Co.
THIS COURSE WILL DRILL-DOWN INTO INDUSTRY 4.0 TECHNOLOGIES AND THEIR
APPLICATIONS
MASTERCLASS AGENDA
Day 1 - Monday 6 March 2023 (half-day)
Click to expand
Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am
(US Eastern time)
SECTION 1 – SMART MANUFACTURING AND INDUSTRY 4.0
2.00pm (UK time)/3.00pm (Central Europe time)/9.00am (US Eastern time):
INTRODUCTIONS AND GROUP DISCUSSION
2.15pm (UK time)/3.15pm (Central Europe time)/9.15am (US Eastern time):
SESSION 1 – INDUSTRY 4.0: VISION, OPPORTUNITIES AND CHALLENGES
* Industry 4.0 and the fourth industrial revolution
* Opportunities and challenges
* Key technologies
* Advances in Additive Manufacturing technology
* Future trends in Industry 4.0
SECTION 2 – FLEXIBLE AUTOMATION AND ROBOTICS
2.45pm (UK time)/3.45pm (Central Europe time)/9.45am (US Eastern time):
SESSION 2 – ADVANCED ROBOTICS AND AUTOMATION
* Collaborative Robots in Manufacturing
* Autonomous Robotics
* Perception Technologies
* Applications of Advanced Robotics
Break: 3.30pm (UK time)/4.30pm (Central Europe time)/10.30am (US Eastern time)
4.00pm (UK time)/5.00pm (Central Europe time)/11.00am (US Eastern time):
SESSION 3 – INDUSTRIAL CASE STUDY: COLLABORATIVE ROBOTICS
* The problem: Dependence on manual, non-ergonomic work in the automotive
industry
* The solution: Development of an assembly workstation for flexible human-robot
collaboration
* Outcome and business benefits
4.30pm (UK time)/5.30pm (Central Europe time)/11.30am (US Eastern time):
SESSION 4 – GROUP BREAKOUT EXERCISE #1
* Under the guidance of the Masterclass Tutor, delegates will be divided into
working groups to identify and discuss:
* The 3 highest potential applications of flexible automation in your company
* Presentation of results and discussion of opportunities and challenges
End of session: 5.30pm (UK time)/6.30pm (Central Europe time)/12.30pm (US
Eastern time)
Day 2 - Tuesday 7 March 2023 (half-day)
Click to expand
Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am
(US Eastern time)
SECTION 3 – DIGITAL AND VIRTUAL MANUFACTURING
2.00pm (UK time)/3.00pm (Central Europe time)/9.00am (US Eastern time):
SESSION 5 – VIRTUAL MANUFACTURING AND SIMULATION
* Digital Twin and Digital Shadow
* Benefits of Digital Factory Planning
* The Role of Simulation in Digital Manufacturing
* Industrial uses of Virtual, Augmented and Mixed Reality
2.45pm (UK time)/3.45pm (Central Europe time)/9.45am (US Eastern time):
SESSION 6 – DATA INTEGRATION AND INDUSTRIAL IOT
* Vertical Data Integration from ERP to Machine Level
* The role of Manufacturing Execution Systems (MES)
* Industrial Internet of Things
* Connectivity and Interoperability
* Upgrading legacy systems to Industry 4.0
Break: 3.30pm (UK time)/4.30pm (Central Europe time)/10.30am (US Eastern time)
4.00pm (UK time)/5.00pm (Central Europe time)/11.00am (US Eastern time):
SESSION 7 – INDUSTRIAL CASE STUDY: UPGRADING A LEGACY-BASED FACTORY WITH
INDUSTRY 4.0 TECHNOLOGIES
* The Problem: The challenge of introducing smart manufacturing into a
legacy-based factory
* The Solution: Implementation of Industrial IoT in process manufacturing
* Outcome and business benefits
4.30pm (UK time)/5.30pm (Central Europe time)/11.30am (US Eastern time):
SESSION 8 – GROUP BREAKOUT EXERCISE #2
* Under the guidance of the Masterclass Tutor, delegates will be divided into
working groups to identify and discuss:
* How to take advantage of Virtual and Augmented Reality and the potential
applications of IIoT within your company
* Presentation of results and discussion of the opportunities and challenges
End of session: 5.30pm (UK time)/6.30pm (Central Europe time)/12.30pm (US
Eastern time)
Day 3 - Wednesday 8 March 2023 (half-day)
Click to expand
Online registration opens: 1.45pm (UK time)/2.45pm (Central Europe time)/8.45am
(US Eastern time)
SECTION 4 – ARTIFICIAL INTELLIGENCE AND DATA-DRIVEN INNOVATION
2.00pm (UK time)/3.00pm (Central Europe time)/9.00am (US Eastern time):
SESSION 9 – BIG DATA ANALYTICS
* Big Data – The New Gold
* Multi-Sensor Data Fusion and Data Lakes
* Big Data Analytics and Process Mining
* Applications of Big Data Analytics in Manufacturing
2.45pm (UK time)/3.45pm (Central Europe time)/9.45am (US Eastern time):
SESSION 10 – ARTIFICIAL INTELLIGENCE IN MANUFACTURING
* New developments in Artificial Intelligence and the importance of Explainable
A.I.
* Key differences between Machine Learning and Deep Learning
* Cognitive Manufacturing with A.I.
* Applications of A.I. in Manufacturing
Break: 3.30pm (UK time)/4.30pm (Central Europe time)/10.30am (US Eastern time)
4.00pm (UK time)/5.00pm (Central Europe time)/11.00am (US Eastern time):
SESSION 11 – INDUSTRIAL CASE STUDY: APPLICATION OF A.I. FOR ENHANCED QUALITY
CONTROL
* The Problem: Managing complex quality control in high-volume manufacturing
processes
* The Solution: Automated and in-process quality inspection with A.I. and
computer vision
* Outcome and business benefits
4.30pm (UK time)/5.30pm (Central Europe time)/11.30am (US Eastern time):
SESSION 12 – GROUP BREAKOUT EXERCISE #3
* Under the guidance of the Masterclass Tutor, delegates will be divided into
working groups to identify and discuss:
* The 3 highest potential applications of A.I. within your company
* Presentation of results and discussion of opportunities and challenges
End of session: 5.30pm (UK time)/6.30pm (Central Europe time)/12.30pm (US
Eastern time)
DOWNLOAD THE MASTERCLASS PDF
Download
*
* Name*
First Name Last Name
* Company Email Address*
* Sign Up
* Sign-up to our mailing list
* Comments
This field is for validation purposes and should be left unchanged.
Δ
Click here for our Privacy Policy
"I enjoyed the overview of what is happening in industry and the breakout
sessions to talk through ideas from a varied viewpoint. The format worked very
well and was easy to accommodate." -- Engineering Lead, Abbott
"Excellent overview of what exists today and its application within the
manufacturing industry." -- Manufacturing Director, Electrolux
"Very good introduction to Industry 4.0 and the implementation process." --
Operations Director, Personna International
MEET THE TUTOR
PROFESSOR ERWIN RAUCH
Professor Erwin Rauch is an Endowed Professor for Smart and Sustainable
Manufacturing at the Free University of Bolzano (Italy), Head of the Smart Mini
Factory laboratory for Industry 4.0, and a member of the Scientific Advisory
Board of Fraunhofer Italia. He is a leading expert on Industry 4.0, Smart and
Sustainable Production Systems, and Digital Manufacturing, and is one of the top
3 authors with the most scientific publications on Industry 4.0.
Watch the Video Read More
PROFESSOR ERWIN RAUCH
Professor Erwin Rauch is an Endowed Professor for Smart and Sustainable
Manufacturing at the Free University of Bolzano (Italy), Head of the Smart Mini
Factory laboratory for Industry 4.0, and a member of the Scientific Advisory
Board of Fraunhofer Italia. He is a leading expert on Industry 4.0, Smart and
Sustainable Production Systems, and Digital Manufacturing, and is one of the top
3 authors with the most scientific publications on Industry 4.0.
His current research also includes Cyber Physical Production Systems;
Intelligent Human-Robot Collaboration in Assembly; Assistance Systems and
Human-Centred Manufacturing; Digitalization and Data-Based Production; and
Digital Twin and Simulation. Erwin is Editor-in-Chief of the journal Production
& Manufacturing Research.
Previously, Erwin spent ten years in industry as a management consultant and
later Associate Partner advising manufacturing businesses on their strategy,
technology implementation and workforce development.
Erwin holds a Ph.D. in Mechanical Engineering from the University of Stuttgart
with summa cum laude; a M.Sc. in Mechanical Engineering from the Technical
University Munich (TUM); a M.Sc. in Business Administration from the TUM
Business School; and a B.Sc. in Logistics and Production Engineering from the
Free University in Bolzano, Italy. He has also served as Visiting Research
Scholar at Worcester Polytechnic Institute in the USA and at Chiang Mai
University in Thailand.
ACCELERATE YOUR DIGITAL TRANSFORMATION:
Join interactive discussions in a peer-to-peer learning environment during 10.5
hours of live online training
Benchmark your organization’s Industry 4.0 technology readiness levels
Benefit from real-world and aspirational industry case studies
Learn about the key Industry 4.0 technologies that are transforming
manufacturing agility and performance
Gain insights from peers across different manufacturing industries during the
guided group breakout exercises
Take away practical ideas to test and implement in your own digital
transformation
BENEFITS TO YOU OF ATTENDING THIS DIGITAL MANUFACTURING LIVE ONLINE MASTERCLASS
* Industry 4.0 and Flexible Automation
* Digital Manufacturing and Data Integration
* Artificial Intelligence and Data-driven Innovation
INDUSTRY 4.0 AND FLEXIBLE AUTOMATION
* Highly practical and interactive in nature with industry case studies, peer
group discussions and break-out exercises throughout the course.
* Identify the strategic opportunities and challenges that Industry 4.0 presents
for your company and the benefits of smart manufacturing technology.
* Learn about new advances in Additive Manufacturing technology and its
industrial applications.
* Find out how collaborative and autonomous robotics and perception technologies
can be applied to increase productivity across your manufacturing operations.
* Explore an in-depth industrial case study on the transition to and benefits of
flexible human-robot collaboration
DIGITAL MANUFACTURING AND DATA INTEGRATION
* Discover how Digital Twins and Digital Factory Planning can be used to
optimise your manufacturing, engineering and design environments.
* Explore the benefits of simulation in digital manufacturing and optimal
industrial uses of Virtual, Augmented and Mixed Reality.
* Find out how to ensure effective vertical data integration from ERP to machine
level.
* Discuss the critical elements of data and IT/OT integration, connectivity and
interoperability when implementing new smart manufacturing technologies.
* In-depth case study – learn about the challenges and solutions when upgrading
a legacy-based factory with new Industry 4.0 technologies.
ARTIFICIAL INTELLIGENCE AND DATA-DRIVEN INNOVATION
* Unlock the enormous potential of artificial intelligence, machine learning and
deep learning for more agile and efficient manufacturing.
* Leverage the power of Big Data Analytics for enhanced visibility and
responsiveness across your manufacturing operations.
* Learn about the role of Multi-Sensor Data Fusion and Data Lakes.
* Explore the potential of Cognitive Manufacturing with A.I.
* Discuss optimal applications of A.I. in manufacturing, including an in-depth
case study on A.I. and computer vision for automated in-process quality
inspection.
"Good summary of current status and trends – the breakouts were especially good
to discuss other companies progress and challenges. To get the benefits,
companies should start planning and implementation ASAP." -- Operations
Director, Detection Technology
"Great job on organisation, presentations and selection of participants - I
would gladly join again." -- Global Head of Quality & Continuous Improvement,
ABB
“Enjoyed the course and content. I found the structure of the training and the
take-away planning tools extremely useful.” -- Operations Industrial Manager,
Safran
WHO SHOULD ATTEND?
This training course is developed for business and technology leaders,
Directors, strategic decision-makers and senior managers within manufacturing,
engineering and design with responsibility for Industry 4.0 implementation and
digital transformation.
It provides an overview of a game-changing paradigm aimed at securing leadership
in the emerging technologies and services that will create high-quality
manufacturing businesses and enhance their global competitiveness in creating
the smart factories, products and services of the future.
LEARN, NETWORK AND COLLABORATE WITH SENIOR EXECUTIVES FROM LEADING MANUFACTURERS
BOOK NOW
Currency:
GBPEURUSD
INDUSTRY 4.0 TECHNOLOGY & DATA: DIGITAL MANUFACTURING IN THE FACTORY OF THE
FUTURE
6 March 2023 (half-day)
7 March 2023 (half-day)
8 March 2023 (half-day)
10.5 hours of live online training
DELEGATE PASSES
The numbers below include tickets for this event already in your cart. Clicking
"Get Tickets" will allow you to edit any existing attendee information as well
as change ticket quantities.
Industry 4.0 Technology & Data
€ 1,595
Unlimited
Decrease ticket quantity for Industry 4.0 Technology & Data -
Quantity
Increase ticket quantity for Industry 4.0 Technology & Data +
Quantity: 0
Total: € 0
Book Now
For large group bookings please contact us to discuss bespoke training solutions
Contact Us
HELPFUL LINKS
* Live Online Masterclasses
* In-Person Masterclasses
* FAQs
* Terms & Conditions
* Privacy Policy
* Cookie Policy
* Contact Us
ACCOUNT
* Login
* 0 items
SMART MANUFACTURING NETWORK IS A TRADING NAME OF MANUFACTURING LEADERS LTD.
UK: +44 (0)20 3923 4744
US: +1 917 722 8188
team@smartmanufacturingnetwork.com
SIGN-UP TO OUR MAILING LIST
© 2023 Manufacturing Leaders Ltd. All rights reserved. | Registration number:
12370977. Company registered in England & Wales. Registered office: 85 Great
Portland Street, First Floor, London, W1W 7LT, UK | VAT number: 341119241
Website by Eldo™
Notifications