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Perspectives
2018 SKILLS GAP IN MANUFACTURING STUDY
FUTURE OF MANUFACTURING: THE JOBS ARE HERE, BUT WHERE ARE THE PEOPLE?
The Fourth Industrial Revolution is transforming the world of work through
artificial intelligence, advanced robotics, automation, analytics, and the
Internet of Things. Despite common fears, these technologies are likely to
create more jobs than they replace—as illustrated by the tight labor conditions
in the US and global manufacturing industry.
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EXPLORE CONTENT
* Managing the shortfall of manufacturing workers
* Is the future of work in manufacturing at risk?
* Reimagining manufacturing jobs
* Future of work manufacturing personas
* Blending digital skills and uniquely human skills
* Get in touch
* Related topics
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* VIEW OUR PERSONAS
10TH PERSONA RELEASED: SMART QA MANAGER
MANAGING THE SHORTFALL OF MANUFACTURING WORKERS
For more than two centuries, the manufacturing industry has adopted new
technologies and provided new jobs for workers. Today, the industry is
experiencing exciting and exponential change, as technologies such as artificial
intelligence (AI), robotics, and Internet of Things (IoT) are rapidly changing
the workplace. While some predicted that these new technologies would eliminate
jobs, we have found the reverse—more jobs are actually being created.
In fact, job openings have been growing at double-digit rates since mid-2017,
and are nearing the historical peak recorded in 2001.1 In this dynamic
manufacturing environment, Deloitte and The Manufacturing Institute launched
their fourth skills gap study to reevaluate their prior projections and move the
conversation forward on today’s hiring environment and the future of
manufacturing work. The results appear to highlight a widening gap between the
jobs that need to be filled and the skilled talent pool capable of filling them.
The study reveals that the skills gap may leave an estimated 2.4 million
positions unfilled between 2018 and 2028, with a potential economic impact of
2.5 trillion. Further, the study shows that the positions relating to digital
talent, skilled production, and operational managers may be three times as
difficult to fill in the next three years.
How can the manufacturing industry get ready for the future of work and prepare
workers to work with robots and advanced technologies? What are the skills that
will become must-haves in the workplace? What are the pathways for training and
education to enable these skills? Finding potential solutions to close the
manufacturing skills gap begins by exploring what’s possible for future jobs.
Click here to view the 2018 synopsis
Click here to view the full report
IS THE FUTURE OF WORK IN MANUFACTURING AT RISK?
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IS THE FUTURE OF WORK IN MANUFACTURING AT RISK?
IS THE FUTURE OF WORK IN MANUFACTURING AT RISK?
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REIMAGINING MANUFACTURING JOBS
To help manufacturing leaders visualize the future of work, we’ve developed a
series of personas that describe what jobs could look like in 2028. These jobs
are described from the standpoint of the workers themselves, exploring how their
work has changed, what skills and career pathways they have, the digital tools
that assist them in their work, and what a normal day on the job looks like.
Bringing these jobs to life can help business leaders, workers, educators, and
policymakers shape their vision and spark conversations around what may need to
change.
These future personas represent our research on the manufacturing skills gap and
reflect several important themes:
* Putting humans in the loop
* Expanding digital and “soft” skills
* Leveraging the digital toolbox
FUTURE OF WORK MANUFACTURING PERSONAS
DIGITAL TWIN ENGINEER
Summary
Digital twin engineers create a virtual representation of both the physical
elements and the dynamics of how an IoT-connected product operates and interacts
within its environment, throughout its entire life cycle. Ranging from a jet
engine or aircraft to a shop floor, an assembly line, or even an entire factory
building, digital twin engineers make it possible to virtually see inside any
physical asset, system, or structure that could be located anywhere, thereby
helping to optimize its design, monitor its performance, predict its
maintenance, and improve the overall experience. View the complete persona of
the Digital Twin Engineer.
Employee profile
The digital twin engineer plays a crucial role in building the relationships and
communication lines across silos to create a network that marries the physical
and digital worlds throughout the manufacturing value chain.
Digital twin engineers must be proficient in creating virtual replicas of major
industrial products and helping companies predict and respond to customer
problems using real-time data analysis and advanced technologies.
Skills include:
– Simulations
– Analytics
– Sensors
– Software development
– Systems engineering
– Research and development
– Algorithms
– Image processing
– Cross-functional team leadership
– Program management
Toolbox
The toolbox supports the worker in achieving external outcomes such as
productivity as well as internally focused ones such as decision making and
learning. View complete toolbox of the Digital Twin Engineer.
Productivity
Venus: Artificial intelligence (AI)-powered, voice-enabled digital assistant
provides a conversational interface for all productivity-related tasks
WeAR: Augmented reality (AR) wearable device that connects digital twin
engineers to IoT devices and receives work instructions and training
InstaCap: Captures data automatically using digital technologies such as radio
frequency identification (RFID) and speech recognition
Decision-making
Smart Dash: Visual display that presents data, live information, and analysis
from multiple sources to facilitate informed decision-making
Envision: uses machine learning to identify potential problems as well as
opportunities to devise solutions that make a positive impact
RealConnect: Enables an engineer to seamlessly interact with suppliers,
partners, customers, and the broader ecosystem
Learning
SkillsPro: Smart learning assistant that helps digital twin engineers refresh
existing skills as well as learn new emerging skills
SmartLab: Facilities classroom learning using virtual reality headsets and
simulation
PREDICTIVE SUPPLY NETWORK ANALYST
Summary
Predictive supply network analysts of the future are a connected and integrated
part of the broader digital supply network (DSN) at their organization. Skilled
in data sciences and big data modelling techniques, they use digital tools to
move materials and finished goods through the DSN for just-in-time deliveries.
With a portfolio of digital tools, these analysts rely on machine learning and
cognitive computing instead of “gut feel” and static reports to identify
opportunities for calibrating demand and supply to maximize performance based on
metrics, including customer satisfaction, productivity, and margin. View the
complete persona of the Predictive Supply Network Analyst.
Employee profile
An analytics professional with expertise in multiple analytics platforms,
predictive technologies, machine learning tools and connected inventory
management. Helps companies achieve optimal inventory and network health
management per ongoing and anticipated supply demand scenarios.
Skills include:
– ERP
–Demand analytics
– Sensors
– Inventory optimization
– Network planning and optimization
– Replenishment analytics
– Logistics and warehouse management
Analytics
– General tech fluency
– Visualization
Toolbox
The toolbox supports the worker in achieving external outcomes like productivity
as well as internally focused ones such as decision making and learning. View
the complete toolbox of the Predictive Supply Network Analyst.
Productivity
DSN Tower: Surfaces relevant information from all the connected supply chain
applications across the enterprise and provides a customized interface by role
and experience
CrowdWise: Online dashboard collects textual data from all the social websites a
company use for feedback, complaints, and issues using text mining and web
scraping. It then creates word clouds and highlights the customer sentiment
around the company's products and services.
Share Smart: An enterprise social and mobile technology tool that helps in
sharing digital 3D designs and images as digital files to improve the
collaboration necessary to build a new product, supply network configuration, or
assembly line right the first time.
Decision-making
Sixth Sense: Incorporates machine learning, cognitive computing, and AI to
detect macro trends in the broader environment
Smart Dash: AI dashboard that presents live data and information from multiple
sources along with recommendations to enable informed decisions
Envision: Uses machine learning to identify potential problems as well as
opportunities to devise solutions that make a positive business impact
Learning
Career Coach: This personal bot performs strength assessments and understands
the broader talent picture at the company. It can use AI to suggest different
career pathways and coordinate with SkillsPro training course to create a
program for the user to accomplish their pathway. It also links in real time to
the talent management system at the company to alert the user of job openings
and opportunities for advancement.
ROBOT TEAMING COORDINATOR
Summary
The increasing penetration of robots in manufacturing production and
distribution is driving demand for robot teaming coordinators (RTCs),
professionals who train humans and robots to work together collaboratively. RTCs
are an evolution of the typical process engineer and change management experts
in manufacturing enterprises. They typically design business processes that
integrate robotics into production and distribution operations while also
considering the enduring human skills that employees bring to the value stream.
View the complete persona of the robot teaming coordinator.
Employee profile
The RTC is responsible for monitoring robot performance and providing feedback
to programmers to optimize robot value, while enabling a collaborative
human-robot working environment. The RTC applies a mix of digital, social, and
human skills to enable humans and robots to leverage each other’s strengths for
increased productivity and growth.
Skills include:
– Behavior analysis
– Robot management
– Administration
– Customer service
– Technical training and orientation
Toolbox
The toolbox supports the worker in achieving both external outcomes such as
productivity, as well as internally focused ones such as decision making and
learning. View the complete toolbox of the robot teaming coordinator.
Productivity
Visually Trainable Robot (VITRO): A personal, multipurpose humanoid robot whose
size and capabilities make it suitable for individual use and can be programmed
through motion capture software and trackers to perform household tasks.
rMIMIC: A motion-capture AI tracker that can scan and track the sensors placed
on a human body and create coordinates in a digital space that can be translated
into a set of commands for VITRO to execute.
VizWizard: A visualization tool that can create graphs and infographics with
minimal text inputs from the user.
Decision-making
Smart Dash: AI dashboard that presents live data and information from multiple
sources, along with recommendations to enable informed decisions.
RealConnect: A tool that enables engineers to seamlessly interact with
suppliers, partners, customers, and the broader ecosystem.
Learning
LNP: A social media interface that allows individuals to express their desire to
augment a specific skill; in turn, other users proficient in that skill can act
as a temporary buddy.
DIGITAL OFFERING MANAGER
Summary
Fast forward to 2025 and big data is the new normal and growing exponentially.
With a plethora of customer data at their disposal, companies have started using
it to create customized data offerings, leading to demand for professionals
known as digital offering managers (DOMs). DOMs have evolved from the product
manager career path. Their key responsibilities revolve around identifying and
creating new product offerings for companies that are entirely digital–built
from data, code, analysis, and delivered virtually–making them wholly different
from the physical products a company traditional makes. View the complete
persona of the digital offering manager.
Employee profile
The DOM is responsible for contributing to the expansion of new digital
offerings in the company’s portfolio of smart precision machinery. The role
requires proficiency in networking and sales, client management, cross-team
collaboration, project management, and problem-solving in order to generate new
data offerings and business expansion opportunities for the company.
Skills include:
- Sales and marketing
- Behavior analysis
- Customer experience
- Communication
- Networking
- Collaboration
- Client management
- Social skills
- Change management
- Project management
Toolbox
The toolbox supports the worker in achieving both external outcomes such as
productivity, as well as internally focused ones such as decision making and
learning. View the complete toolbox of the digital offering manager.
Productivity
Rosetta:
An AI-based real-time language translator that listens to speech, converts it
into text, and then translates that into the desired language, enabling
collaboration among different regional markets.
Gen4-Conservatory: Smart meeting rooms for teams that are co-located but are
from different functions. Smart-glass boards plugged with AI-enabled devices can
pull data from multiple sources and conduct basic data transformation.
Voice-activated, these devices can operate with basic sound commands.
Decision-making
CuSu–Customer supporter:
An AI and natural-language-processing client management tool that keeps track of
client offerings along with state-of-the-art data security. Sixth Sense: A tool
that incorporates machine learning, cognitive computing, and AI to detect macro
trends in the broader environment.
Learning
ELWIE:
Standing for “enabling learning, wellbeing, (personal) interest, and (overall)
excellence” is a mobile bot and personal smart wellbeing assistant that takes
care of professional and personal wellbeing. It can suggest new learning
opportunities as well as help to plan vacations or leaves based on personal
interest.
DRONE DATA COORDINATOR
Summary
The construction sites in 2025 are different than in 2019—autonomous drones,
cranes, robots, and other automated equipment perform repetitive, heavyweight,
and hazardous tasks. This has created a new human role, a coordinator to exploit
data from fleets of drones. Drone data coordinators (DDCs) have on-site and
off-site responsibilities, including coordination with drone service providers
and life cycle responsibility for the data the drones capture.
DDC is a new full-time role for many engineering, procurement, and construction
(EPC) firms. As data has become the digital thread across the job site, this
role has emerged to coordinate the data that leased fleets of autonomous drones
can capture for safety, inspection, operations, and risk managers. DDCs work
with the contracted drone service provider on a project basis. View the complete
persona of the drone data coordinator.
Employee profile
The DDC must be proficient in project management, resource, and equipment
management and plays a key role in the expansion of drones into the company's
life cycle data management model; has executive responsibility for managing and
networking with drone service providers to create new efficiency, safety, and
risk management opportunities for the EPC firm.
Skills include:
– Data life cycle management
– Resource optimization
– Analytics
– Communication
– Networking
– Automation
– Client management
– Collaboration
– Change management
– Project management
Toolbox
The toolbox supports the worker in achieving both external outcomes such as
productivity, as well as internally focused ones such as decision making and
learning. View the complete toolbox of the drone data coordinator.
Productivity
Venus: An AI-powered, voice-enabled digital assistant provides a conversational
interface for all productivity-related tasks, from scheduling to finding answers
to questions and checking the status of products and projects.
VirtuMeet: An AR smart-glass conference room with AI capabilities allows global
partners to meet and collaborate, overcoming the barriers of physical
separation. With built-in AI, AR screens can present short bios or other
relevant information about attendees as the user pans across their faces.
Decision-making
Smart Dash: A visual display that presents data, live information, and analysis
from multiple sources to facilitate informed decision-making.
Real Connect: This application enables an engineer to seamlessly interact with
suppliers, partners, customers, and the broader ecosystem.
Learning
SkillsPro: A smart learning assistant that helps digital twin engineers refresh
existing skills as well as learn new and emerging skills. Its conversation mode
shares tips and tricks about the tools/ techniques that an engineer has learned
recently. When synced with an engineer's project planner, it shares a list of
skills to be learned for implementation in upcoming projects.
SmartLab: A tool thatfacilitates classroom learning using virtual reality
headsets and simulation. It tests trainees on a defined skill framework and
measures subjective aspects based on their response style. Each trainee receives
customized learning objectives.
SMART FACTORY MANAGER
Summary
In the smart factory of 2025, the changing nature of when, where, and how parts,
subassemblies, and final products are made has transformed the role of the human
manager at its helm. The smart factory manager (SFM) wears many hats: production
operations and quality responsibilities, as well as DevOps (product
design/engineering), along with expanded IT and cyber responsibilities. Their
expanded responsibilities place them in the unique position of integrating
advanced manufacturing, secure connectivity, and actionable data analytics
together to drive a new level of overall equipment effectiveness (OEE).
In their expanded role, SFMs are responsible for more of the manufacturing value
stream than in traditional manufacturing sites. SFMs determine build schedules
and inventory levels based on demand forecasts that have been derived from
artificial intelligence (AI) and machine learning algorithms. With their widened
aperture, SFMs apply their judgement to set parameters related to allocation of
product, profitability, or new product introductions, for example. View the
complete persona of the smart factory manager.
Employee profile
The smart factory manager must be proficient in applied technology, automation,
connectedness, and driving OEE. Leader of factory innovation via smart use
cases. Experienced in change management and robust value chain integration.
Skills include:
– Operational excellence
– Deep learning
– Innovation
– Automation
– Digital prototyping
– Industrial technology
– Client management
– Collaboration
– Change management
– Project management
Toolbox
The toolbox supports the worker in achieving both external outcomes such as
productivity, as well as internally focused ones such as decision making and
learning. View the complete toolbox of the smart factory manager.
Productivity
Venus: This AI-powered, voice-enabled digital assistant provides a
conversational interface for all productivity-related tasks, from scheduling to
finding answers to questions and checking the status of products and projects.
Gen4-Conservatory: Smart meeting rooms for teams that are collocated but are
from different functions. Smart-glass boards plugged with AI-enabled devices can
pull data from multiple sources and conduct basic data transformation.
Voice-activated, these devices can operate with basic sound commands. These
capabilities help the data team in ideation and offering formulation.
Decision-making
Smart Dash: A visual display that presents data, live information, and analysis
from multiple sources to facilitate informed decision-making.
Sixth Sense: A tool that incorporates machine learning, cognitive computing, and
AI to detect macro trends in the broader environment.
Learning
ELWIE: Standing for “enabling learning, wellbeing, (personal) interest, and
(overall) excellence” is a mobile bot and a personal smart wellbeing assistant
that takes care of professional and personal wellbeing. It can suggest new
learning opportunities as well as help to plan vacations or leaves based on
personal interests.
SMART SCHEDULER
Summary
The smart scheduler uses smart and connected technologies to develop and
maintain program schedules on construction work. In the construction site of
2025, many scheduling tasks are automated; the tracking of labor, equipment, and
raw materials are digitalized; and performance is captured in real time. A smart
scheduler creates a digital thread from these activities using custom
applications or off-the-shelf digital tools—from mapping construction site
progress to ensuring just-in-time availability of materials, labor, and
construction equipment. With the rise in automated scheduling tasks, the smart
scheduler’s role now includes higher-value functions such as constraints
management, resource optimization, schedule optimization, planning for
unexpected events, and real-time persona-based visualization. View the complete
persona of the smart scheduler.
Employee profile
The smart scheduler must be proficient in developing and maintaining program
schedules using advanced data analytics and visualization to identify
relationships, logic, milestones, and constraints for construction projects of
various types; leverages predictive analytics and cognitive tools for
understanding bottlenecks for dynamic replanning to improve schedule adherence.
Skills include:
– Analytics
– Data life cycle management
– Demand analytics
– IoT tools
– Resource optimization
– Inventory optimization
– Logistics and warehouse management
– Materials and supplier management
– Project management
– Visualization
Toolbox
The toolbox supports the worker in achieving both external outcomes such as
productivity, as well as internally focused ones such as decision making and
learning. View the complete toolbox of the smart scheduler.
Productivity
Symphony: This software suite connects smart schedulers with other
resources—people, machines, and systems—for data-driven connected construction.
Using real-time analytics, it can help smart schedulers analyze and track
project and site performance.
AuRo: An AR tool that is designed to assist maintenance personnel in maintaining
and repairing equipment using vision and picking to produce a faster, hands-free
solution for precarious or delicate tasks.
Decision-making
Envision: This tool uses machine learning to identify and rectify potential
problems. It also helps discover opportunities to influence business decisions
that drive financial or other key results.
DST: A digital scheduling tool that provides updates on the status of machinery,
equipment, and material required or in-progress at the site. It helps with
real-time status updates on labor availability.
Learning
SkillsPro: This smart learning assistant helps smart schedulers refresh existing
skills as well as learn new and emerging skills. Its conversation mode shares
tips and tricks about the tools/techniques that a scheduler has learned
recently. When synced with a scheduler’s project planner, it shares a list of
skills to be learned for implementation in upcoming projects.
SMART SAFETY SUPERVISOR
Summary
With autonomous equipment, unmanned drones, and advanced materials at
construction sites, managing the environment, health, and safety (EHS) aspects
of engineering and construction (E&C) projects would be just one responsibility
for the smart safety supervisor (S³). In their expanded role, S³s are expected
to work with operational, logistics, and technology teams to find new synergies
that can improve the safety of the construction site. S³s are fluent in advanced
technologies, and they serve as a conduit to match applications such as
augmented reality (AR) glasses, smart helmets, and connected clothing with use
cases for creating a safe and efficient work site. View the complete persona of
the smart safety supervisor.
Employee profile
The S³ must be skilled in environment, health, and safety (EHS), workplace
safety, inspection, and risk assessment; proficient in digital tools and EHS
technologies; has developed and implemented multiple health and safety programs
for various construction projects; leverages predictive analytics and cognitive
tools for incident investigation and corrective measures.
Skills include:
– Construction safety
– Safety management systems
– Occupational and health
– Applied technology
– Communication
– Workplace safety
– Resource optimization
– Internet of Things
– Wearables for safety management
– Data analysis
Toolbox
The toolbox supports the worker in achieving both external outcomes such as
productivity, as well as internally focused ones such as decision making and
learning. View the complete toolbox of the smart safety supervisor.
Productivity
Symphony: This software suite connects smart schedulers with other
resources—people, machines, and systems—for data-driven connected construction.
Using real-time analytics, it can help smart schedulers analyze and track
project and site performance.
AuRo: An AR tool that is designed to assist maintenance personnel in maintaining
and repairing equipment using vision and picking to produce a faster, hands-free
solution for precarious or delicate tasks.
Decision-making
Envision: This tool uses machine learning to identify and rectify potential
problems. It also helps discover opportunities to influence business decisions
that drive financial or other key results.
DRT: A digital requirement toolbox is a central request repository for digital
initiatives and support, which the company’s innovation team can use to plan and
pilot their digital/smart initiatives.
Learning
HeMoSite: This enterprise health monitoring site helps to track the working
conditions and environment of each professional, highlighting any exposure to
potential hazardous elements or heavy-duty machinery.
UAM FLIGHT CONTROLLER
Summary
By 2035, the urban air mobility (UAM) ecosystem could see commercial success of
remotely managed air taxis, paving the way for autonomous vehicles. Though
autonomous air taxis would eliminate the need for a pilot in the vehicle, it
would be essential to have a controller, situated in operation centers, who can
remotely manage and monitor passenger (and cargo) mobility vehicles. UAM flight
controllers would be expected to manage multiple aircraft, since these aircraft
would largely be able to operate independently. They would be certified aviation
and UAM professionals who would be capable of remotely communicating with
autonomous systems equipped in air taxis and be able to control and guide them,
whenever required. View the complete persona of the UAM flight controller.
Employee profile
The UAM flight controller is an experienced civilian pilot with demonstrated
history working in the aviation industry; must be highly skilled in airline
operations, training, and aeronautics, with proficiency in project, resource,
and fleet management; plays a pivotal role in the expansion of UAV operations.
Skills include:
– Aeronautics
– Flight planning
– Civil aviation
– Flight control (remote operations)
– Team leadership
– Change management
– Route optimization
– Flight operations
– Wearables for safety management
– Resource allocation
Toolbox
The toolbox supports the worker in achieving both external outcomes such as
productivity, as well as internally focused ones such as decision making and
learning. View the complete toolbox of the UAM flight controller.
Productivity
Air Talkies: This voice-enabled, wireless headset can connect to air traffic
controllers through voice commands in a fraction of a second.
AuRo: An AR tool that is designed to assist maintenance personnel in maintaining
and repairing equipment using vision and picking to produce a faster, hands-free
solution for precarious or delicate tasks.
Decision-making
Flight Analyzer: This predictive tool monitors air taxi performance, by
capturing and analyzing flight data from routine operations. It also helps
improve flight operations safety as well as operational efficiency.
UAV NavCom: A virtual version of a cockpit that allows remote flight controllers
to communicate and navigate UAVs. It also allows flight controllers to take
complete manual control of the vehicle.
Learning
UAV Sim X: This training simulator helps train UAM flight controllers in a
virtual environment that is realistic, but eliminates the risks of a real
flight. Through simulations, it allows controllers to prepare for situations
that may arise while air taxis are being remotely managed.
SMART QA MANAGER
Summary
It is 2025. The manufacturing industry has automated production processes and
assembly lines. Quality control, which relied on human inspection and
intervention, is now an automated, intelligent process enabled by vision systems
and real-time analytics. A “smart quality assurance (QA) manager” manages
product quality, making full use of digital technologies. This role oversees an
ecosystem of machine and work center sensors, artificial intelligence
(AI)/machine learning–powered analytics dashboards, and virtual reality support
technologies. This enables the Smart QA manager to proactively detect quality
escapes and machine maintenance issues and develop solutions to address the root
causes of quality issues. View the complete persona of the Smart QA Manager.
Employee profile
The Smart QA Manager is experienced and trained in leveraging smart technologies
to reduce the number of defects per part produced and helps enhance overall
productivity of the firm.
Skills include:
– Operational excellence
– Deep learning
– Innovation
– Automation
– Digital prototyping
– Industrial technology
– Client management
– Collaboration
– Change management
– Project management
Toolbox
The toolbox supports the worker in achieving both external outcomes such as
productivity, as well as internally focused ones such as decision making and
learning. View the complete toolbox of the Smart QA Manager.
Productivity
Venus: This AI-powered, voice-enabled digital assistant provides a
conversational interface for all productivity-related tasks, from scheduling to
finding answers and checking the status of projects and people.
Share Smart: An enterprise social and mobile technology tool that helps in
sharing digital 3D designs and images as digital files to improve the
collaboration necessary to build new product, supply network configuration, or
assembly line right the first time.
Decision-making
Smart Dash: A visual display that presents data, live information, and analysis
from multiple sources to facilitate informed decision-making.
Envision: This tool uses machine learning to identify and rectify potential
problems. It also helps discover opportunities to influence business decisions
that drive financial or other key results.
Learning
ELWIE: (enabling learning, well-being, (personal) interest, and (overall)
excellence)
It’s a mobile bot and a personal smart well-being assistant that takes care of
professional and personal well-being. It can suggest new learning opportunities
as well as help to plan vacations or leaves based on personal interests.
FUTURE OF WORK IN MANUFACTURING
With digital technologies poised to transform work, explore what the future of
manufacturing jobs will look like in this digital era.
BLENDING DIGITAL SKILLS AND UNIQUELY HUMAN SKILLS
As digital transformation and the Fourth Industrial Revolution redefine
manufacturing jobs, leaders and workers alike need to embrace a new work
environment. Here, advanced technology and digital skills must blend with
uniquely human skills to yield the highest level of productivity. Understanding
how work might change can help the industry as a whole prepare for a future that
promises to be transformative.
ENDNOTES
1 BLS, “Job openings and labor turnover survey,” August 7, 2018.
GET IN TOUCH
SEEMA PAJULA
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and Insights Leader for Deloitte LLP, overseeing Deloitte’s approach to serving
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PAUL WELLENER
US INDUSTRIAL PRODUCTS & CONSTRUCTION LEADER
pwellener@deloitte.com
+1 216 830 6609
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Paul is a Vice Chair, Deloitte LLP, and the leader of the US Industrial Products
& Construction practice with Deloitte Consulting LLP. He has more than three
decades of experience in the industrial pr... More
BEN DOLLAR
PRINCIPAL | ER&I SMART THINGS LEADER
bdollar@deloitte.com
+1 617 437 3264
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Ben is a principal in the Global Supply Chain practice of Deloitte Consulting
LLP. He focuses on organization design, talent management, and process
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WOMEN IN MANUFACTURING
Stepping up to make an impact that matters
AN INDUSTRIAL MANUFACTURING PERSPECTIVE: TECH TRENDS 2019
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