ArticlePDF Available

Industry 4.0 and Industry 5.0-Inception, conception and perception

Authors:

Abstract and Figures

Industry 4.0, an initiative from Germany, has become a globally adopted term in the past decade. Many countries have introduced similar strategic initiatives, and a considerable research effort has been spent on developing and implementing some of the Industry 4.0 technologies. At the ten-year mark of the introduction of Industry 4.0, the European Commission announced Industry 5.0. Industry 4.0 is considered to be technology-driven, whereas Industry 5.0 is value-driven. The coexistence of two Industrial Revolutions invites questions and hence demands discussions and clarifications. We have elected to use five of these questions to structure our arguments and tried to be unbiased for the selection of the sources of information and for the discussions around the key issues. It is our intention that this article will spark and encourage continued debate and discussion around these topics.
Content may be subject to copyright.
Journal of Manufacturing Systems 61 (2021) 530–535
0278-6125/© 2021 Published by Elsevier Ltd on behalf of The Society of Manufacturing Engineers.
Industry 4.0 and Industry 5.0Inception, conception and perception
Xun Xu
a
,
*, Yuqian Lu
a
, Birgit Vogel-Heuser
b
, Lihui Wang
c
a
Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New Zealand
b
Institute of Automation and Information Systems, Technical University of Munich, Munich, Germany
c
Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden
ARTICLE INFO
Keywords:
Industrial Revolution
Industry 4.0
Industry 5.0
Technology-driven
Value-driven
ABSTRACT
Industry 4.0, an initiative from Germany, has become a globally adopted term in the past decade. Many countries
have introduced similar strategic initiatives, and a considerable research effort has been spent on developing and
implementing some of the Industry 4.0 technologies. At the ten-year mark of the introduction of Industry 4.0, the
European Commission announced Industry 5.0. Industry 4.0 is considered to be technology-driven, whereas
Industry 5.0 is value-driven. The co-existence of two Industrial Revolutions invites questions and hence demands
discussions and clarications. We have elected to use ve of these questions to structure our arguments and tried
to be unbiased for the selection of the sources of information and for the discussions around the key issues. It is
our intention that this article will spark and encourage continued debate and discussion around these topics.
1. Introduction
The Fourth Industrial Revolution (a.k.a. Industry 4.0, translated from
Industrie 4.0 as in German) originated in 2011 from a project in the
high-tech strategy of the German government. It advanced the concept
of Cyber Physical Systems (CPS) [1,2] into Cyber Physical Production
Systems (CPPS) [3]. SmartFactory is one of the key associated initiatives
of Industry 4.0 [4]. The term Industry 4.0 was publicly introduced in
2011 at the Hannover Fair [1,2], and it is on the back of the following
denitions of the rst three Industrial Revolutions. The First Industrial
Revolution was marked by a transition from manual production
methods to machines powered by steam or water. Thanks to electricity,
the Second Industrial Revolution transformed factories into modern
production lines resulting in high productivity and signicant economic
growth. The Third Industrial Revolution saw eld-level computers like
Programmable Logic Controller (PLC) and communication technologies
in the production process, leading to automated production. In the In-
dustry 4.0 era, production systems, in the form of CPPS, can make
intelligent decisions through real-time communication and cooperation
between manufacturing things
1
[5], enabling exible production of
high-quality personalized products at mass efciency [6,7]. To progress
the initiative and ensure a coordinated, cross-sectoral approach, the
professional associations BITKOM, VDMA and ZVEI have established the
joint Industrie 4.0 Platform [8]. Globally, many countries have intro-
duced similar strategic initiatives, for example, Industrial Internet
Consortium (USA), Industria 4.0 (Italy), Produktion 2030 (Sweden),
Made in China 2025, and Society 5.0 (Japan), to name a few.
As businesses started to embrace Industry 4.0, along came the Fifth
Industrial Revolution (Industry 5.0). Industry 5.0 is understood to
recognize the power of industry to achieve societal goals beyond jobs
and growth, to become a resilient provider of prosperity, by making
production respect the boundaries of our planet and placing the well-
being of the industry worker at the center of the production process [9,
10]. The introduction of Industry 5.0 is based on the observation or
assumption that Industry 4.0 focuses less on the original principles of
social fairness and sustainability but more on digitalization and
AI-driven technologies for increasing the efciency and exibility of
production. The concept of Industry 5.0, therefore, provides a different
focus and point of view and highlights the importance of research and
innovation to support the industry in its long-term service to humanity
within planetary boundaries [9]. Indeed, leading up to this formal
introduction of Industry 5.0, there have been some discussions about
Age of Augmentation where the human and machine reconcile and
work in symbiosis [11]. Similarly, Bednar and Welch [12] described
* Corresponding author.
E-mail address: x.xu@auckland.ac.nz (X. Xu).
1
Though manufacturing and production are sometimes used interchangeably, we make the following differentiations. Manufacturing is the process in which raw
material is converted into the tangible products, whereas production creates utility made for the purpose of the consumption. Therefore, production is a broader term
involving, for example, manufacturing, logistics and nance.
Contents lists available at ScienceDirect
Journal of Manufacturing Systems
journal homepage: www.elsevier.com/locate/jmansys
https://doi.org/10.1016/j.jmsy.2021.10.006
Received 28 September 2021; Received in revised form 6 October 2021; Accepted 8 October 2021
Journal of Manufacturing Systems 61 (2021) 530–535
531
Smart Workingpractices.
It is fair to say that co-existence of the two Industrial Revolutions has
promoted a few questions. The questions are rooted in the scientic
community as well as the industry. With no attempt to be exhaustive,
some of these questions are:
To what extent is Industry 4.0 technology-centric and oblivious of
human-centricity, sustainability and resilience?
Can Industry 4.0 enabling technologies also help realize the goals of
Industry 5.0, or do we need to develop new Industry 5.0
technologies?
Is Industry 5.0 a chronological continuation of Industry 4.0, similar
to their predecessors (i.e., Industry 1.0 through to Industry 4.0)?
Are we living amongst two Industrial Revolutions, or effectively one
techno-social revolution?
What would industrys journeys of Industry 4.0 and Industry 5.0 look
like?
This article intends to stand on an unbiased ground to ascertain the
landscape co-occupied by both Industry 4.0 and Industry 5.0, and to
shed some light on possible ways of responding to these questions and
possibly more. If the above questions echo some of your bafements, it is
the authorshope that you will be in a better position to respond to some
of the questions after reading this article. It is also the authorsintention
to spark and encourage further discussions about these topics. The
following two sections intend to provide an accurate but succinct ac-
count of Industry 4.0 and Industry 5.0 more at their intersections than
otherwise. We nish off with discussions around the imposed questions
and set a stage for continued debates.
In order to remain focused, this article makes no attempt to dene
and discuss what an Industrial Revolution, or Industry 4.0 and In-
dustry 5.0 are. The main associated concepts are considered well un-
derstood, with the only exception of Industry 5.0, a more nascent term.
The debate over Revolution vs Evolution is still ongoing but also falls
outside the scope of this article.
2. Understanding Industry 4.0
Industry 4.0 refers to the intelligent networking of machines and
processes for the industry based on CPS a technology that achieves
intelligent control using embedded networked systems [8,13]. There are
different understandings of Industry 4.0, albeit all agree upon the
Reference Architecture Model Industrie 4.0 (RAMI4.0). RAMI4.0 was
developed by the German Electrical and Electronic Manufacturers
Fig. 1. Reference Architecture Model Industrie 4.0 (RAMI4.0) [16].
X. Xu et al.
Journal of Manufacturing Systems 61 (2021) 530–535
532
Association (ZVEI) to support Industry 4.0 initiatives [14]. RAMI 4.0
model consists of a three-dimensional coordinate system (Fig. 1(a)) that
depicts the architecture of Industry 4.0 systems. The "Hierarchy Levels"
axis is derived from the information model of automation [15] and
represents the different functionalities within factories or facilities; the
"Layers" axis describes the decomposition of a machine into its proper-
ties and the "Life Cycle Value Stream" axis represents the life cycle of
facilities and products. The latter includes business models and the
benet of using Industry 4.0 as well. Fig. 1(b) summarizes some of the
characteristics of Industry 4.0 components based on RAMI4.0.
Vogel-Heuser and Hess [1] discussed the main design principles of
Industry 4.0, which are summarized as the following:
Service-oriented reference architecture.
Intelligent, self-organizing CPPS.
Interoperability between CPPS and humans.
Adaptability and exibility to changing requirements.
Optimization for Overall Equipment Effectiveness.
Data integration across disciplines and entire life cycle.
Reliable and secured communications between businesses.
Data security.
2.1. Technology, exibility and productivity-focused
Industry 4.0 is considered a technology-driven revolution to achieve
higher efciency and productivity and, as a high-tech strategy of the
government, to enhance Germanys competitiveness in a global market.
This may be further reinforced by the three dimensions of RAMI4.0
(Fig. 1(a)), i.e., Product Life Cycle, Business Layers and Factory Hier-
archy. Boston Consulting Group identied nine key enabling technolo-
gies of Industry 4.0 [17], i.e., Big data and analytics, Autonomous
robots, Simulation, Horizontal and vertical system integration, Indus-
trial Internet of Things, Cybersecurity, Cloud, Additive Manufacturing,
and Augmented Reality. These technologies underpin the ve Industry
4.0 central research themes [18]:
Horizontal integration through value networks
End-to-end engineering across the entire value chain
Vertical integration and networked manufacturing systems
Cyber-Physical Systems technology
New social infrastructures in the workplace
2.2. Sustainability, resilience and human-centric
Industry 4.0 may have been considered as a technology-driven
transformation. Some considerations and projected impacts from soci-
etal needs, such as sustainability, human-centricity and resilience, are
also visible.
2.2.1. Resource-efcient, sustainable and resilient industries
Industry 4.0 intends to address challenges such as resource and en-
ergy efciency, urban production, societal needs, and demographic
change [18]. In order to reduce the consumption of energy and re-
sources, changes in manufacturing processes and the design of ma-
chinery and plant are required.
The Green Production Index is suggested as one of the main decision-
supporting KPIs, together with the basic data required to make trans-
parent, resource-oriented investment decisions [18]. Though Industry
4.0 is pre-Covid, an Example Application was discussed, i.e., Sudden
change of supplier during production due to a crisis beyond the manu-
facturers control [18]. Industry 4.0 makes the necessary changes
smoother by running simulations of the affected downstream services,
thus allowing different suppliers to be evaluated and the best alternative
to be selected.
2.2.2. Human-centric approach
Industry 4.0 may not be considered a human-centric initiative. Thats
as may be, the like of human-machine cooperation or operator assistant
technologies, socio-technical approach, and work-life balance is not to
be ignored.
2.2.2.1. Technologies. Industry 4.0 promotes new socio-technical in-
frastructures by transforming different aspects of a workplace such as
health management and work organization, lifelong learning and career
path models, team structures and knowledge management. This is
described as a socio-technical approach of the Industry 4.0 initiative
leading to a paradigm shift in human-technology and human-
environment interactions [18]. It is anticipated that a workers role is
set to change signicantly due to the increased use of technologies that
are more open, virtual and extensive [18]. This is reected by some of
the design principles of Industry 4.0 [1]. Reective of the second and
third design principles (i.e., Information transparency and Technical
assistance) is the increased use of the technologies such as robot-assisted
systems and augmented reality (AR) to provide workers with real-time
information in order to improve decision-making and work procedures
[1921].
2.2.2.2. Worker up-skilling and re-skilling, and workers wellbeing. Smart
assistance systems release workers from routine tasks so that they can
focus on more creative and value-added activities. Flexible work orga-
nization is promoted to enable all workers to continue professional
development more effectively and have a better work-life balance. The
relevant technologies will also allow older workers to extend their
working lives and remain productive longer [18]. It has been recognized
that in a smart factory, the role of employees will change signicantly.
Implementation of a socio-technical approach to work organization will
offer workers the opportunity to enjoy greater responsibility and
enhance their personal development [18,22].
Industry 4.0s socio-technical approach strives for the so-called
motto, better, not cheaper. It argues that adopting an extreme
version of the Taylorist approach to work organization based on
frequent repetition of highly standardized and monotonous tasks is
hardly the most promising way to implement Industry 4.0. The fact that
smart factories will be congured as highly complex, dynamic and
exible systems means they will need empowered employees to act as
decision-makers and controllers [18].
2.3. Demonstrations and use cases
The past decade has seen a large number of demonstrations, testbeds
and use cases for Industry 4.0 implementations, most of which are in the
form of smart factories or elements of smart factories. Some of the ex-
amples include SmartFactory
KL
, a network of industry and research or-
ganizations [6,23], the French initiative Industrie du future [24], and
the Japanese Robot Revolution and Industrial IoT Initiative [25].
3. Understanding Industry 5.0
Since 2017, scattered academic efforts have been pushing the
introduction of the Fifth Industrial Revolution [2629]. In 2021, the
European Commission formally called for the Fifth Industrial Revolution
(Industry 5.0), after discussions amongst participants from research and
technology organizations as well as funding agencies across Europe in
two virtual workshops organized by Directorate Prosperity of
Directorate-General for Research and Innovation, on 2 and 9 July 2020,
by the formal release of the document titled Industry 5.0: Towards a
Sustainable, Human-centric, and Resilient European Industry on 4
January 2021 [9]. This is similar to Industry 4.0 in 2011 by the German
government, devising a top-down initiative in response to the changing
societal and geopolitical landscape. Our analysis on Industry 5.0 in this
X. Xu et al.
Journal of Manufacturing Systems 61 (2021) 530–535
533
article is principally based on the sentiment from European Commission.
3.1. Concept
Industry 5.0 recognizes the power of industry to achieve societal
goals beyond jobs and growth, to become a resilient provider of pros-
perity by making production respect the boundaries of our planet and
placing the wellbeing of the industry worker at the center of the pro-
duction process. Industry 5.0 complements the existing Industry 4.0
paradigm by having research and innovation drive the transition to a
sustainable, human-centric and resilient European industry [9]. It is
apparent that Industry 5.0 results from the European Commissions
consensus on the need better to integrate social and environmental
European priorities into technological innovation and shift the focus
from individual technologies to a systematic approach.
With the acknowledgment that technology advances transform the
way value is created, exchanged and distributed, there is a pressing need
for these technologies to be designed towards supporting future societal
values. The advent of these changes and questions closely linked to
technological innovation requires the industry to re-think its position
and role in society [7]. In addition, the political priorities in Europe have
signicantly shaped their thinking. The Green Deal will require a tran-
sition to a more circular economy and increased reliance on sustainable
resources, including energy. The Covid-19 crisis has highlighted the
need to re-think existing working methods and approaches, including
the vulnerability of global supply chains, with an aim to make their
industries more future-proof, resilient, sustainable and human-centric.
3.2. Core values
Industry 5.0 centers around three interconnected core values:
human-centricity, sustainability and resilience (Fig. 2).
The human-centric approach puts core human needs and interests
at the heart of the production process, shifting from technology-driven
progress to a thoroughly human-centric and society-centric approach.
As a result, industry workers will develop new roles as a shift of value
from considering workers as cost to investment. Technology is to
serve people and societies, meaning that technology used in
manufacturing is adaptive to the needs and diversity of industry workers
[30]. A safe and inclusive work environment is to be created to prioritize
physical health, mental health and wellbeing, and ultimately safeguard
workers fundamental rights, i.e., autonomy, human dignity and pri-
vacy. Industrial workers need to keep upskilling and re-skilling them-
selves for better career opportunities and work-life balance [9].
For the industry to respect planetary boundaries, it needs to be
sustainable. It needs to develop circular processes that re-use, re-
purpose and recycle natural resources, reduce waste and environmental
impact, and ultimately lead to a circular economy with better resource
efciency and effectiveness [9].
Resilience refers to the need to develop a higher degree of robust-
ness in industrial production, arming it better against disruptions and
ensuring it can provide and support critical infrastructure in times of
crisis. The future industry needs to be resilient enough to swiftly navi-
gate the (geo-)political shifts and natural emergencies [9].
3.3. Enabling technologies
Industry 5.0 identied the following six enabling technologies [31].
1 Individualized human-machine interaction technologies that inter-
connect and combine the strengths of humans and machines.
2 Bio-inspired technologies and smart materials that allow materials
with embedded sensors and enhanced features while being
recyclable.
3 Digital Twins and simulation to model entire systems.
4 Data transmission, storage, and analysis technologies that are able to
handle data and system interoperability.
5 Articial Intelligence to detect, for example, causalities in complex,
dynamic systems, leading to actionable intelligence.
6 Technologies for energy efciency, renewables, storage and
autonomy
As seen above, Industry 5.0 is not a technology-driven revolution but
a value-driven initiative that drives technological transformation with a
particular purpose (Fig. 3).
3.4. Challenges and responses
Industry 5.0 present some unique challenges that are not seen in the
past [9], such as
Social heterogeneity in terms of values and acceptance
Measurement of environmental and social value generation
Integration from customers across entire value chains to SMEs
Interdisciplinarity of research disciplines and system complexity
Ecosystem-oriented innovation policy with agile, outcome-
orientation
Productivity is required, while large investments are needed
As a new initiative, the European Commission also outlined a series
of implementation strategies from investment, marketing, and gover-
nance dimensions to promote Industry 5.0 [9]. Response from other
governments and industries is still limited for the time being. Academia
though has quickly embraced the discussions on Industry 5.0, as Journal
of Manufacturing Systems, International Journal of Production Research
and IEEE Transactions on Industrial Informatics all established relevant
Special Issues to encourage the research on Industry 5.0 in 2021. IEEE
Robotics and Automation Society (RAS) Technical Committee (TC) on
Digital Manufacturing and Human-centered Automation has also high-
lighted its relevance to Industry 5.0 [32].
Similar to Industry 4.0, Industry 5.0, aiming for success, will need
substantial investment from government agencies. Regardless of the
future of Industry 5.0, its core values human-centricity, sustainability
and resilience, have become major driving forces for societal progress
instead of as a by-product of GDP-driven prosperity development. This is
evident from recent government progress towards embedding them in
national policies, such as Paris Agreement [33], Sustainable Develop-
ment Goals (SDGs) [34] from the United Nations, Well-being of Future
Generations Act [35], Genuine Progress Indicator 2.0 [36], The Econ-
omy of Well-being [37], National Performance Framework [38], and
OECD Better Life Index [39].
Fig. 2. Core values of Industry 5.0 [9].
X. Xu et al.
Journal of Manufacturing Systems 61 (2021) 530–535
534
4. Discussions and nal remarks
It has been the authors intention to stand on neutral ground to
provide the account for both Industry 4.0 and Industry 5.0 through
Sections 13. This section may include some opinionated comments
from the authors, but otherwise, the intention to remain impartial is still
upheld. The remaining section is structured by following the ve ques-
tions imposed at the beginning of this article. One should, however, not
expect the provision of denitive answers to each of the questions.
Instead, the questions are utilized for pertinent discussions to provide an
answer or a partial answer as it may be to the question.
4.1. Questions and discussions
To what extent is Industry 4.0 technology-centric and oblivious of
human-centricity, sustainability and resilience?
The perception by many has been that Industry 4.0 has a strong focus
on technologies or technological solutions. Such a focus is evident from
some of the early policy and government manifestos. Research publi-
cations in the early years tend to be technology-focused, too. White-
papers and business reports published by some top consulting rms, e.g.,
McKinsey and Boston Consulting Group, also have a clear technology
slant. Industry 4.0, however, may not be considered oblivious of human-
centricity, sustainability and resilience. Resource efciency and societal
needs are found in some of the key publications [18]. The Factory2Fit
project, for example, aims at empowering and engaging workers in a
more connected industrial environment. The workers are given more
inuence and hence greater responsibility in shaping the production
process through virtual means.
However, Industry 4.0 addresses the issues of human-centricity,
sustainability and resilience from a consequential perspective and
with a clear technological approach. Unlike Industry 4.0, Industry 5.0
makes a bold focus shift from individual technologies to a systematic
approach. This approach empowers the industry to achieve societal
goals beyond jobs and growth and places the wellbeing of the industry
worker at the center of the production process. This may help explain
why Industry 5.0 is considered a different type of Industrial Revolution
from the other Industrial Revolutions.
Can Industry 4.0 enabling technologies also help realize the goals of
Industry 5.0, or do we need to develop new Industry 5.0
technologies?
Boston Consulting Group identied nine key enabling technologies
of Industry 4.0, whereas the EU identied six enabling technologies of
Industry 5.0. The terminologies used for these technologies may differ,
but there is a clear cross-over. It is believed that many enabling tech-
nologies of Industry 4.0 can help, and will undoubtedly be used to,
achieve the societal goals of Industry 5.0. There are, however, some
more targeted technologies of Industry 5.0 that require attention, such
as bio-inspired technologies and technologies for energy efciency,
storage, and renewable energy.
Is Industry 5.0 a chronological continuation of Industry 4.0, similar
to their predecessors (i.e., Industry 1.0 through to Industry 4.0)?
Industry 5.0 is not a chronological continuation of, or an alternative
to, the existing Industry 4.0 paradigm. Industry 5.0 is the result of a
forward-looking exercise, a way of framing how industry and emerging
societal trends and needs will co-exist. As such, Industry 5.0 complements
and extends the hallmark features of Industry 4.0 [9]. This may help set
aside Industry 5.0 as a different type of Industrial Revolution from the
others, acknowledging the other Industrial Revolutions are the chro-
nological continuation of their predecessors.
It needs to be pointed out that some of the latest Industry 4.0
research has already extended the original thinking and intention of
Industry 4.0. This is particularly evident in Germany, where fresh ini-
tiatives on resource efciency, energy footprint and Arbeit 4.0 (Labour
or Work 4.0) [40,41] have been pushed out in recent years.
Are we living amongst two Industrial Revolutions, or effectively one
Techno-Social Revolution?
The notion of Industry 5.0 complementing and extending the hall-
mark features of Industry 4.0 suggests that they are to be considered
side-by-side, i.e., the co-existence of technology-driven Industry 4.0 and
value-driven Industry 5.0. In the interest of simplifying the terminology
but running the risk of further introducing new terms, we may be led to
believe that we are witnessing a Techno-Social Revolution (or perhaps
Social-Techno Revolution), with technology as the enabling tools and
societal needs as the ultimate goal, acknowledging that the term Techno-
Social System has existed for some time.
Fig. 3. Industry 5.0 goals and the technological enablers (reproduced based
on [21]).
X. Xu et al.
Journal of Manufacturing Systems 61 (2021) 530–535
535
What would industrys journeys of Industry 4.0 and Industry 5.0 look
like?
Many companies are on their journey of Industry 4.0, and this
journey is not to be derailed. This said, it may need to be re-purposed
and/or adjusted with a more prominent consideration of some of the
core values of Industry 5.0, i.e., sustainability, human-centricity and
resilience. Therefore, there is, and should be, just one journey for a
business.
4.2. Final words
Typically, an Industry Revolution is driven by transformative tech-
nological advances, which has led to fundamental changes in how the
industry functions. These changes have economic and societal conse-
quences. Some are intended and desirable; others unintended and un-
desirable. Like other predecessors, Industry 4.0 is technology-driven.
Industry 5.0 is, however, value-driven. The former needs the latter to
remind the essential societal needs, value and responsibility as ultimate
goals; the latter requires the former for the technological pushes and
solutions.
However, a word of caution is that a proliferation of buzz words,
such as Industry 4.0+, Industry 4.5 and even Industry 6.0 and Industry
7.0 in a not-too-distant future, may dawn upon us. These buzz words
may be inviting for paper-writing or grant applications; they are not
conducive to making any business decision and facing technological
challenges. To this end, cool heads and wise minds are required. It is our
intention that this article will spark and encourage further, extensive
and in-depth discussion around these topics as we owe the industry a
clear vision into the future.
Declaration of Competing Interest
The authors report no declarations of interest.
References
[1] Vogel-Heuser B, Hess D. Guest editorial: Industry 4.0prerequisites and visions.
IEEE Trans Autom Sci Eng 2016;13(April 2).
[2] Bauernhans T, Vogel-Heuser B, ten Hompel M. In: Allgemeine Grundlagen, editor.
Handbuch Industrie 4.0 Bd.4. Springer; 2017. ISBN: 978-3-662-53254-53256.
[3] Vogel-Heuser B, Bayrak G, Frank U. Forschungsfragen in
Produktionsautomatisierung der Zukunft. Diskussionspapier für die acatech
Projektgruppe ProCPS Production CPS. acatech Materialien. 2012.
[4] Zuehlke D. SmartFactorytowards a factory-of-things. Annu Rev Control 2010;34
(April 1):12938. https://doi.org/10.1016/j.arcontrol.2010.02.008.
[5] Lu Y, Xu X, Wang L. Smart manufacturing process and system automation a
critical review of the standards and envisioned scenarios. J Manuf Syst 2020;56:
31225. https://doi.org/10.1016/j.jmsy.2020.06.010.
[6] Wang S, Wan J, Zhang D, Li D, Zhang C. Towards smart factory for Industry 4.0: a
self-organized multi-agent system with big data based feedback and coordination.
Comput Netw 2016;101:15868.
[7] Zhong RY, Xu X, Klotz E, Newman ST. Intelligent manufacturing in the context of
Industry 4.0: a review. Engineering 2017;3(5):61630.
[8] Plattform Industrie 4.0. https://www.plattform-i40.de. (Accessed 28 September
2021).
[9] Breque M, De Nul L, Petridis A. Industry 5.0: towards a sustainable, human-centric
and resilient European industry. Luxembourg, LU: European Commission,
Directorate-General for Research and Innovation; 2021.
[10] European Economic and Social Committee. Industry 5.0. 2021. Available online:
https://ec.europa.eu/info/research-and-innovation/research-area/industr
ial-research-and-innovation/industry-50_en (Accessed 28 September 2021).
[11] Longo F, Padovano A, Umbrello S. Value-oriented and ethical technology
engineering in Industry 5.0: a human-centric perspective for the design of the
factory of the future. Appl Sci 2020;10:4182. https://doi.org/10.3390/
app10124182.
[12] Bednar PM, Welch C. Socio-technical perspectives on smart working: creating
meaningful and sustainable systems. Inf Syst Front 2020;22:28198. https://doi.
org/10.1007/s10796-019-09921-1.
[13] Fay A, Gehlhoff F, Seitz M, Vogel-Heuser B. Agents for the realisation of Industrie
4.0 - VDI Status Report. August. 2019. https://doi.org/10.13140/
RG.2.2.23998.84805.
[14] DIN SPEC 91345:2016-04 - Referenzarchitekturmodell Industrie 4.0 (RAMI4.0).
Ver¨
offentlichung 20.04.2016.
[15] Process Automation Device Information Model (PA-DIM). OPC Foundation. 2021.
https://opcfoundation.org/markets-collaboration/pa-dim/.
[16] VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik: Statusbericht; Industrie
4.0; Wertsch¨
opfungsketten. Düsseldorf: VDI e.V.. 2014. April.
[17] ßmann M, Lorenz M, Gerbert P, Waldner M, Engel P, Harnisch M, et al. Industry
4.0: the future of productivity and growth in manufacturing industries. 09 April.
Boston Consulting Group; 2015.
[18] Forschungsunion acatech. Recommendations for implementing the strategic
initiative INDUSTRIE 4.0. Final report of the Industrie 4.0 Working Group. 8 April.
2013.
[19] Liu C, Cao S, Tse W, Xu X. Augmented reality-assisted intelligent window for cyber-
physical machine tools. J Manuf Syst 2017;44:2806.
[20] Zhu Z, Liu C, Xu X. Visualisation of the digital twin data in manufacturing by using
augmented reality. Procedia CIRP 2019;81:898903.
[21] Villani V, Sabattini L, Bara´
nska P, Callegati E, Czerniak JN, Debbache A, et al. The
INCLUSIVE system: a general framework for adaptive industrial automation. IEEE
Trans Autom Sci Eng 2020. https://doi.org/10.1109/TASE.2020.3027876.
[22] Flores E, Xu X, Lu Y. Human Capital 4.0: a workforce competence typology for
Industry 4.0. J Manuf Technol Manag 2020;31(4):687703. https://doi.org/
10.1108/JMTM-08-2019-0309.
[23] SmartFactoryKL, https://smartfactory.de/en/ (Accessed 28 September 2021).
[24] https://www.lafrenchfab.fr/2021/05/12/industrie-du-futur-gouvernement-
accelere/. (Accessed 28 September 2021).
[25] Robot Revolution and Industrial IoT Initiative. https://www.jmfrri.gr.jp/english/.
(Accessed 28 September 2021).
[26] Demir KA, D¨
oven G, Sezen B. Industry 5.0 and human-robot co-working. Procedia
Comput Sci 2019;158:68895. https://doi.org/10.1016/J.PROCS.2019.09.104.
[27] Longo F, Padovano A, Umbrello S. Value-oriented and ethical technology
engineering in Industry 5.0: a human-centric perspective for the design of the
factory of the future. Appl Sci 2020;10:4182. https://doi.org/10.3390/
APP10124182.
[28] Nahavandi S. Industry 5.0a human-centric solution. Sustainability 2019;11:
4371. https://doi.org/10.3390/SU11164371.
[29] Paschek D, Mocan A, Draghici A. Industry 5.0-the expected impact of next
industrial revolution. Thriving on future education, industry, business, and society.
In: Proceedings of the MakeLearn and TIIM International Conference; 2019.
p. 157.
[30] Lu Y, Adrados JS, Chand SS, Wang L. Humans are not machinesanthropocentric
humanmachine symbiosis for ultra-exible smart manufacturing. Engineering
2021;7:7347. https://doi.org/10.1016/J.ENG.2020.09.018.
[31] European Commission. Directorate General for Research and Innovation. Enabling
Technologies for Industry 5.0 Results of a workshop with Europes technology
leaders. 2020.
[32] Huang GQ, Vogel-Heuser B, Zhou M, Dario P. Digital technologies and automation:
the human and eco-centered foundations for the factory of the future [TC
Spotlight]. IEEE Robot Autom Mag 2021;28:1749. https://doi.org/10.1109/
MRA.2021.3095732.
[33] Agreement P. Paris agreement. Report of the Conference of the parties to the
United Nations framework convention on climate change (21st session, 2015:
Paris), vol. 4. HeinOnline; 2015. Retrieved December, p. 2017.
[34] Assembly G. Sustainable development goals. SDGs transform our world. 2015.
p. 2030.
[35] Government Wales. Well-being of future generations (Wales) act 2015. 2015.
[36] Talberth J, Weisdorf M. Genuine progress indicator 2.0: pilot accounts for the US,
Maryland, and City of Baltimore 20122014. Ecol Econ 2017;142:111.
[37] Llena-Nozal A, Martin N, Murtin F. The economy of well-being: creating
opportunities for peoples well-being and economic growth. OECD; 2019.
[38] National Performance Framework | National Performance Framework, n.d.,
https://nationalperformance.gov.scot/ (Accessed 28 September 2021).
[39] OECD Better Life Index, n.d., https://www.oecdbetterlifeindex.org/ (Accessed 28
September 2021).
[40] Germans Platform for Articial Intelligence. https://www.plattform-lernende-syst
eme.de/home-en.html. (Accessed 28 September 2021).
[41] Salimi M. Work 4.0: an enormous potential for economic growth in Germany.
ADAPT bulletin. 2015. 16 December 2015 (Accessed 28 September 2021, htt
p://www.adaptinternational.it.
X. Xu et al.
... In this special issue, several examples are provided of how digitalization and integration of technologies within/across industries allow for the automation of complex human and machine tasks [21][22][23]. There are various definitions and concepts of Industry 4.0 [24] and Industry 5.0 [7,25], but according to Tusquellas, Santiago and Palau [21] Industry 4.0 "emphasizes the integration of digital technologies with manufacturing processes to boost productivity, efficiency, and economic growth worldwide" while Industry 5.0 "represents a shift from an industry centered on automation and efficiency to a model that emphasizes human-machine collaboration, fosters innovation and promotes alignment with environmental sustainability". ...
... Subsequent k-means cluster analysis [27] indicated three clusters of practice, whereby computer science educators implemented some or all of the elements described by Hussin [28] as illustrated in Figure 1 With the arrival of GenAI and publicly available AI digital assistants (p-AIDA) like ChatGPT in October 2022, several authors [6,7,21,35] have claimed that we are moving to Education 5.0, which, in line with Industry 5.0, is more focused on inclusive development of technology and people and their environments. Indeed, Sedrakyan, et al. [36] argued that Industry 5.0 "embraces a value-driven perspective [25], emphasizing the provision of value for end-users, stakeholders, and the broader socio-technical and environmental system within which actors operate". For example, Ciolacu, Marghescu, Mihailescu, and Svasta [6] indicated that Education 5.0 would include "problem-based learning, scenariobased learning and non-traditional labs approaches, increased interaction with AR/VR and AI technology and Biofeedback for well-being and health". ...
... The transition from Industry 4.0 to 5.0 brings a paradigm shift from automation-centric models to human-centric innovation and co-creation [6,21,25,35,36]. While in the wider sector and in this special issue several industry examples are provided [21][22][23], in this article we specifically focused on the development of an institutional AI digital assistant (i-AIDA) using principles of Design-Based Research [16][17][18] and Technology Acceptance Model [20,39,40] at a large distance learning provider, the Open University [4,5,38]. ...
Article
Full-text available
In Industry 5.0 it is essential that humans are in the loop of technology integration of industry processes. With the advancements of Generative Artificial Intelligence (GenAI), a lot of new opportunities and challenges for learning and teaching are present. Many students already use publicly available AI Digital Assistants (p-AIDA) like ChatGPT for academic purposes. However, there are concerns around the use of such p-AIDA tools, particularly in terms of academic integrity, data privacy, intellectual property, and the impact on the quality of education. Furthermore, many higher education institutions have substantial learning materials and data about students that they may not want to share with p-AIDA. Therefore, using the Technology Acceptance Model (TAM) and following a Design-Based Research (DBR) approach, we explored the perspectives and experiences of a beta-test of an institutionally developed AIDA (i-AIDA) with 18 UK students using multiple methods and data sources (including pre-post-test, interviews, think-aloud, and prompt analysis). Our research underscores the potential benefits and limitations of in-house i-AIDA in enhancing learning experiences without compromising academic integrity or privacy, and how higher education institutions can prepare themselves for Industry 5.0.
... The processes carried out by human-machine collaboration have crucial social impacts. In Industry 5.0, the value placed on employees encourages sustainability from a social perspective by influencing their well-being (Xu et al., 2021) and quality of life. In assessing sustainability from a social standpoint, employees are viewed as indispensable in production systems, necessitating a human-centred approach for economic and productivity gains (Nahavandi, 2019). ...
... While Industry 4.0 focuses more on output and efficiency, Industry 5.0 also focuses on more customization and flexibility in production processes. Industry 5.0 has the flexibility to offer personalized products thanks to advanced machines and automation (Xu et al., 2021). Another major contribution is its potential to produce higher-quality products. ...
Article
Full-text available
Focusing on employee interoperability with technology, sustainability, and durability pushes traditional production processes to change and highlights Industry 5.0 (I5.0). However, businesses have significant concerns about implementing I5.0. This study aims to explore the challenges in the implementation of I5.0 and to model these challenges for manufacturers in the automotive industry hierarchically. Challenges were examined in the context of developing economies. Through a comprehensive literature review, experts identified fundamental challenges, each serving as a criterion, and subsequently examined their suitability. Five experts with extensive experience in the automotive sector conducted the evaluation processes. In the application section of the study, relevant criteria were analyzed using the interval-valued intuitionistic fuzzy AHP method. The research results provide various insights for manufacturers in the automotive sector to comprehend, manage, and take preventive measures regarding the challenges of implementing Industry 5.0. The study's main findings shed light on the significant difficulties businesses encounter in the automotive supply chain. Öz Teknoloji ile çalışanların birlikte çalışabilirliğine, sürdürülebilirliğe ve dayanıklılığa odaklanılması, geleneksel üretim süreçlerini değiştirmeye zorlamakta ve Endüstri 5.0'ı öne çıkarmaktadır. Ancak işletmeler, Endüstri 5.0'ı uygulama konusunda önemli endişeler taşımaktadır. Bu çalışma, Endüstri 5.0'ın uygulanmasındaki zorlukları araştırmayı ve bu zorlukları otomotiv sektöründeki üreticiler için hiyerarşik olarak modellemeyi amaçlamaktadır. Zorluklar, gelişmekte olan ekonomiler bağlamında incelenmiştir. Kapsamlı bir literatür taramasıyla, uzmanlar temel zorlukları belirlemiş, her birini bir kriter olarak ele almış ve uygunluklarını değerlendirmiştir. Otomotiv sektöründe geniş deneyime sahip beş uzman değerlendirme süreçlerini yürütmüştür. Çalışmanın uygulama bölümünde, ilgili kriterler aralık değerli sezgisel bulanık AHP yöntemi ile analiz edilmiştir. Araştırma sonuçları, otomotiv sektöründeki üreticilere Endüstri 5.0'ın uygulanmasındaki zorlukları anlamaları, yönetmeleri ve önleyici tedbirler almaları konusunda çeşitli içgörüler sunmaktadır. Çalışmanın temel bulguları, işletmelerin otomotiv tedarik zincirinde karşılaştıkları önemli zorluklara ışık tutmaktadır.
... In the evolving paradigm of Industry 5.0, the focus increasingly shifts toward human-centric innovation, emphasizing skill enhancement and seamless integration of technology into human-driven processes 1 . The proliferation of generative artificial intelligence (Gen AI) innovations necessitates a new approach to reimagine the upskilling and reskilling priorities for employee attraction, engagement, and retention 2 . ...
Article
Full-text available
In the Industry 5.0 era, increasing manufacturing complexity and fragmented knowledge pose challenges for decision-making and workforce development. To tackle this, we present a human-centric knowledge system that integrates explicit knowledge from formal sources and implicit knowledge from expert insights. The system features three core innovations: (1) an automated KG construction pipeline leveraging large language models (LLMs) with collaborative verification to enhance knowledge extraction accuracy and minimize hallucinations; (2) a hybrid retrieval framework that combines vector-based, graph-based, and hybrid retrieval strategies for comprehensive knowledge access, achieving a 336.61% improvement over vector-based retrieval and a 68.04% improvement over graph-based retrieval in global understanding; and (3) an MR-enhanced interface that supports immersive, real-time interaction and continuous knowledge capture. Demonstrated through a metal additive manufacturing (AM) case study, this approach enriches domain expertise, improves knowledge representation and retrieval, and fosters enhanced human-machine collaboration, ultimately supporting adaptive upskilling in smart manufacturing.
... The concept of Industry 5.0 provides a different point of view and highlights the importance of research, innovation, and use of Artificial Intelligent-driven technologies for increasing efficiency of production to support industry and service to humanity within planetary boundaries (Xu et al., 2021;Zizic et al., 2022). The technology has also been helpful in forming large organization in terms of production, capital funding or asset utilization. ...
Article
Full-text available
The development of a nation depends upon its sectoral growth which rely upon innovation, technological advancement and political stability in addition to essential resources. Viksit Bharat i.e., India as developed economy, at 2047 is the key aim of the Indian government. In pursuant of this goal, various strategic initiatives are being taken by the government, e.g., ease of doing business, one nation one tax policy, establishment of new industrial parks, freight corridors and industry 5.0 etc. to promote industries. In the pace of such revolutionary and innovative changes, accounting profession will play a vital role in recording, reporting and analyzing the financial transactions involved therein. The present study is an attempt to assess the capabilities and challenges of accounting profession in India. SWOC Analysis of the accounting profession in India is made in respect of expected demand of it in Amrit Kaal. Indian accounting profession is contributing to economic development in terms foreign reserves.The expected demand of accounting professionals is also increasing in Amrit Kaal, but the growth rate of accounting professionals is less in comparison of growth rate of GVA. It also faces challenges like security of data, and harmonization of domestic accounting practices with international standards.
... As we navigate the digital transformation from Industry 4.0, which focuses on automation and data-driven technologies, we step into Industry 5.0. This next phase marks a significant shift toward centring the human experience, or humancentricity, as highlighted by Xu et al. [47]. Industry 5.0 is not just about technology; it is about integrating sustainability, resilience, ethical considerations, and, most importantly, fostering a collaborative partnership between humans and intelligent machines [48]. ...
Article
Full-text available
As cyberattacks grow more complex and frequent, organisations and nations face critical challenges in safeguarding their information systems and sensitive data. Recognising the limitations of traditional, solely human-centric defences, there is increasing agreement among practitioners and researchers on the need for a collaborative approach that integrates human intelligence with artificial intelligence (AI). This paper introduces the cybersecurity Augmented Intelligence Framework ( c AIF), a conceptual framework designed to optimise human-AI teaming (HAIT) in cybersecurity. Augmented intelligence is about the role of AI enhancing rather than replacing human intelligence through a more harmonious working relationship. The methods followed consist of three phases. First, reviewing existing literature to identify foundational human–machine interaction (HMI) paradigms. A systematic review of papers from three databases led to a final selection of 20 analysis units. Second, the strengths and weaknesses of the identified paradigms for HAIT were evaluated. Lastly, outlining the core architectural components of the c AIF from the strengths of each paradigm. Six key HMI paradigms were identified: Human-in-the-loop (HITL), Human-out-of-the-loop (HOOTL), Human-on-the-loop (HOTL), Human-alongside-the-loop, Human-in-command, and Coactive Systems. Each paradigm offers unique strengths: for instance, HITL emphasises active and direct human intervention, while HOOTL supports full autonomy of AI operations. On the other hand, HOTL balances AI autonomy with human oversight. The analysed data suggests that strategically leveraging the strength of each paradigm allows for a hybrid intelligent framework comprising five core components: the Decision-Making Matrix, Paradigm Allocation Engine, Task-Specific Modules, Feedback and Learning System, and Interoperability Framework. The c AIF shows promise in enhancing human-AI collaboration, integrating human insights with AI capabilities to improve resilience and adaptability against evolving cyber threats. Future research should focus on empirically validating the c AIF in various cybersecurity domains, including healthcare and finance.
Article
Value chains are facing different challenges, caused by emerging technologies as well as Industry 4.0 and Industry 5.0 principles. In order to successfully deliver valuable products to their customers, firms have to adapt, transform, and continuously improve their operational processes. Digital technologies will enable digital supply chains which will be decentralized and composed of autonomous modules. Although the elements of the value chain are independent, this paper shows how they affect each other’s performance. In this study, a model which shows how human resources management impacts customers’ satisfaction is presented. Additionally, this model reveals direct and indirect relations between human resources management, processes, supply chain actors, and customers. The conducted study was based on the variance-based method, while the model was constructed using the “PLSPM” package in R software. Additionally, the confirmatory factor analysis was applied for assessing the construct constitution. Taking into account that “A chain is only as strong as its weakest link”, firms can use these findings to seek for performance indicators and problem causes across the whole value chain and not only in one of its elements.
Chapter
Industry 5.0 can promote SDGs and reveal a future with enhanced technologies, humanity, and environmental responsibility. This chapter discusses the link between Sustainable Development Goals (SDGs) and Industry 5.0. Facilitating human-centric and environmentally sustainable industrial development was the focus of this study. We initiated Industry 4.0 concentrated on automating industries, Industry 5.0 emphasizes human-technology interaction, innovation, and environmental thinking. The human-centered approach thus reiterates most of the dimension keys Social, Economic, and Environmental challenges. However, limitations include high implementation costs, workforce skills gap and cybersecurity challenges. In this study, we used a qualitative research methodology to explore Sustainable Development Goals (SDGs) in relation to Industry 5.0, focusing primarily on an analysis of pertinent literature. The chapter highlights an industry-supported innovation and alignment with the most sustainable development goals. In this chapter, research findings show Industry 5.0 promotes SDG 9 by combining human-centered innovation with AI, robotics, and the IoT, this fosters the goal of development. The generator conception of new jobs that prioritize human contributions in industrial operations promotes sustainable development by contributing to SDG 8 (Decent Work and Economic Growth). Industry 5.0 supports SDG 12 on responsible consumption and in the same respect SDG 13 on Climate Action by reducing waste, using resources efficiently, and using low-carbon production methods. Additionally Industry 5.0 fosters social justice toward SDG 10 by ensuring that technological growth benefits all stakeholders. The chapter also examines how Industry 5.0 technologies support SDG 11-compliant towns and communities.
Chapter
Industry evolution has moved toward Industry 5.0, embodying a synergy between human perception and emerging technologies, while strongly emphasizing sustainable growth and innovation. This gives a chance for the SMEs to adapt to the practices of circular economy which in turn enhances its efficiency by reducing wastages in terms of promoting eco-friendly environment thus maximizing the utility of resources. The incorporation of Artificial Intelligence (AI), Internet of Things (IoT), and Robotics with circular economy supports the Small and Medium Scale Enterprises (SMEs) to enhance the ability of operation and supports them to sustain the competition and set their strong foot in the market for a long time. Industry 5.0 has given a platform to develop Human–Machine interface models to upgrade the operations in small and medium-sized enterprises (SMEs). This chapter explores interdependence of Industry 5.0 and circular economy. It also focuses on the opportunities that provide a dominance to the small and medium enterprises (SMEs) by this integration. SMEs can have a paradigm shift from the traditional processes to modern manufacturing systems thus attaining sustainable growth. The concepts of Industry 5.0 and Circular Economy make small and medium-sized enterprises (SMEs) socially and economically viable. The study provides inputs to succeed in this competitive Industry 5.0 environment.
Article
Full-text available
Smart manufacturing is characterized by self-organizing manufacturing systems and processes that can respond to dynamic changes. We envision the rapid advancement of smart machines with empathy skills will enable anthropocentric human-machine teams that can maximize human flexibility and wellness at work while maintaining the required manufacturing productivity and stability. In this paper, we present a future-proofing human-machine symbiosis framework that features human centrality, social wellness, and adaptability. The essential technical challenges and methods are discussed in detail.
Article
Full-text available
Smart manufacturing is arriving. It promises a future of mass-producing highly personalized products via responsive autonomous manufacturing operations at a competitive cost. Of utmost importance, smart manufacturing requires end-to-end integration of intra-business and inter-business manufacturing processes and systems. Such end-to-end integration relies on standards-compliant and interoperable interfaces between different manufacturing stages and systems. In this paper, we present a comprehensive review of the current landscape of manufacturing automation standards, with a focus on end-to-end integrated manufacturing processes and systems towards mass personalization and responsive factory automation. First, we present an authentic vision of smart manufacturing and the unique needs for next-generation manufacturing automation. A comprehensive review of existing standards for enabling manufacturing process automation and manufacturing system automation is presented. Subsequently, focusing on meeting changing demands of efficient production of highly personalized products, we detail several future-proofing manufacturing automation scenarios via integrating various existing standards. We believe that existing automation standards have provided a solid foundation for developing smart manufacturing solutions. Faster, broader and deeper implementation of smart manufacturing automation can be anticipated via the dissemination, adoption, and improvement of relevant standards in a need-driven approach.
Article
Full-text available
Featured Application This work can be used to drive the design and development of Industry 4.0 technological solutions and the Factories of the Future in a human-centric, value-oriented and ethical direction. Abstract Although manufacturing companies are currently situated at a transition point in what has been called Industry 4.0, a new revolutionary wave—Industry 5.0—is emerging as an ‘Age of Augmentation’ when the human and machine reconcile and work in perfect symbiosis with one another. Recent years have indeed assisted in drawing attention to the human-centric design of Cyber-Physical Production Systems (CPPS) and to the genesis of the ‘Operator 4.0’, two novel concepts that raise significant ethical questions regarding the impact of technology on workers and society at large. This paper argues that a value-oriented and ethical technology engineering in Industry 5.0 is an urgent and sensitive topic as demonstrated by a survey administered to industry leaders from different companies. The Value Sensitive Design (VSD) approach is proposed as a principled framework to illustrate how technologies enabling human–machine symbiosis in the Factory of the Future can be designed to embody elicited human values and to illustrate actionable steps that engineers and designers can take in their design projects. Use cases based on real solutions and prototypes discuss how a design-for-values approach aids in the investigation and mitigation of ethical issues emerging from the implementation of technological solutions and, hence, support the migration to a symbiotic Factory of the Future.
Technical Report
Full-text available
In order to allow greater flexibility and increase efficiency in value chains, the concept of the I4.0 language is proposed. This enables an interoperable exchange of information and, based on this, the flexible negotiation and activation of tasks. All requirements described in the "Discussion Paper I4.0 Language" can be realized with agents or agent systems and agent platforms. The concept of the agents can thus be recommended for the implementation of I4.0 management shells.
Article
Full-text available
According to many, we are at the brink of the fourth industrial revolution. The theme of Industry 4.0 is "Smart Manufacturing for the Future". Now, some futurists even discuss what the fifth industrial revolution’s theme will be. There are a few visions for Industry 5.0. One emerging theme is human-robot co-working. In recent years, we have seen significant advancements in robotics and artificial intelligence (AI) research. Today, there are robots for various purposes at affordable prices in the market. It is not long before we closely interact with robots in our lives and workplaces. Testing autonomous cars in traffic is a promising example of this upcoming trend. There are companies having an employee record for robots or AI applications. While there are many studies on human-robot collaboration for low-level tasks with a focus on robot development, we lack studies focusing on organizational issues emerging from human-robot co-working. In this study, we discuss the possible issues related to human-robot co-working from the organizational and human employee’s perspective. We believe the issues identified in this study will be the focus of many upcoming organizational robotics research studies.
Article
Full-text available
Staying at the top is getting tougher and more challenging due to the fast-growing and changing digital technologies and AI-based solutions. The world of technology, mass customization, and advanced manufacturing is experiencing a rapid transformation. Robots are becoming even more important as they can now be coupled with the human mind by means of brain–machine interface and advances in artificial intelligence. A strong necessity to increase productivity while not removing human workers from the manufacturing industry is imposing punishing challenges on the global economy. To counter these challenges, this article introduces the concept of Industry 5.0, where robots are intertwined with the human brain and work as collaborator instead of competitor. This article also outlines a number of key features and concerns that every manufacturer may have about Industry 5.0. In addition, it presents several developments achieved by researchers for use in Industry 5.0 applications and environments. Finally, the impact of Industry 5.0 on the manufacturing industry and overall economy is discussed from an economic and productivity point of view, where it is argued that Industry 5.0 will create more jobs than it will take away.
Article
Full-text available
With the wave of Industry 4.0, Digital Twin is attracting more and more attention world-wide. The term might have been coined some time ago, today the concept is increasingly being used in the field of smart manufacturing. Digital Twin provides advantages in different fields of manufacturing, such as production and design, remote diagnostics and service. Digital Twin relies on the continuously accumulated data and real-time presentation of the collected data to simultaneously update and modify with its physical counterpart. However, presenting a huge amount of collected data and information in a Digital Twin in an intuitive manner remains a challenge. Currently, augmented reality (AR) has been widely implemented in the manufacturing environment, such as product design, data management, assembly instructions, and equipment maintenance. By integrating graphics, audios and real-world objects, AR allows the users to visualise and interact with Digital Twin data at a new level. It gives the opportunity to provide intuitive and continual visualisation of the Digital Twin data. In this paper, an AR application that uses Microsoft HoloLens to visualise the Digital Twin data of a CNC milling machine in a real manufacturing environment is presented. The developed application allows the operator to monitor and control the machine tool at the same time, but also enables to interact and manage the Digital Twin data simultaneously, which provides an intuitive and consistent human machine interface to improve the efficiency during the machining process. The proposed application paves the way for further development of intelligent control process through AR devices in the future.
Article
Reports on the factory of the future where automation dominates operations. Digital manufacturing processes have been extensively transformed by ubiquitous connectivity and collaborative robots so much that the industry of the future is pursuing high productivity, efficiency, and customization by becoming increasingly collaborative, connected, and cognitive (IC3). In fact, these new technologies have fostered a remarkable increase in production efficiency and an exceptional economic growth worldwide.
Article
While modern production systems are becoming increasingly technologically advanced, the presence of human operators remains fundamental in industrial workplaces. To complement and enhance the capabilities of human workers, approaches based on adaptive automation have been introduced. They consist of adapting the behavior of the system according to the user’s capabilities and effort. In this article, we present a general holistic framework for adaptive automation, called INCLUSIVE, that assists the operator during working tasks. The system consists of three modules. First, a thorough characterization of the operator’s constitutional and situational condition is provided; based on this, properly tailored adaptation is given, and if necessary, further training and support are provided. The framework has been implemented and tested considering three industrial use cases, selected as representative of a wide area of interest for the industry in Europe, in terms of both production requirements and involved operators. Tests have been carried out in real production environments, considering real production tasks carried out by 53 shop-floor workers. Results have shown that workers’ satisfaction when using the INCLUSIVE system and their performances was increased with respect to customary interaction systems currently used in industries. Moreover, the achieved results were used to formulate a set of recommendations for the design and implementation of an adaptive interaction system in relation to ensuring worker satisfaction and system usability in an industrial environment, as well as performance requirements. Note to Practitioners —This article was motivated by the fact that, despite modern advanced automation, human operators are still central in the manufacturing process. However, technological progress often causes challenging interaction with complex industrial systems. The goal of this article is to introduce a complete framework for adaptive automation, with the ultimate goal of facilitating the interaction of human operators with complex industrial systems. The framework relies on three modules: measurement of human capabilities, the adaption of the interaction system, and additional teaching and support. The three modules are discussed at a high level, independently of the target application. Moreover, to facilitate their application in specific working contexts, examples are provided with respect to three different industrial applications. Results of tests carried out with shop-floor operators show that implementing the proposed framework allows better working performance and increases worker satisfaction with the use of automation.
Article
Purpose The purpose of this paper is twofold: to raise and address an important change for the human capital in the future of Industry 4.0, and to propose a human-focused perspective for companies underneath the new Industrial Revolution. Design/methodology/approach The research study follows a state-of-the-art literature review process. The nature of the selected approach enables to cover the extensive aim of the paper with sufficient scientific solidity that should support the understanding of every topic. Findings This work has presented three relevant aspects for Industry 4.0 and its human labour force: a workforce architecture with new interactions, a term to embrace the human capital of the future and a typology for referencing the required competences for Industry 4.0. Research limitations/implications The paper sheds light on an important aspect for the emerging Industrial Revolution, the human force. The result and conclusion sections suggest future implications for academia and the private sector, due to changes at the conceptual and practical levels of human operation in the industry – for example, new structural interactions among employees, additional qualities to human capital and different ways to identify the competences for the workforce. Originality/value This is an interdisciplinary study that tries to bring together a modern industrial term, a social focus and a company scenario. From this, it was possible to obtain a new social term, a novel typology of competences and a new company-scenario interaction.