Chapter 8
Industry 4.0 in Manufacturing, Communication, Transportation, and Health Care
Mani D. Choudhry,
Jeevanandham Sivaraj,
Sundarrajan Munusamy,
Parimala D. Muthusamy,
V. Saravanan,
Mani D. Choudhry
Department of Information Technology, KGiSL Institute of Technology, Coimbatore, Tamil Nadu, India
Search for more papers by this authorJeevanandham Sivaraj
Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India
Search for more papers by this authorSundarrajan Munusamy
Department of Networking and Communications, SRM Institute of Science &Technology, Chennai, Tamil Nadu, India
Search for more papers by this authorParimala D. Muthusamy
Department of Electronics and Communication Engineering, Velalar College of Engineering and Technology, Erode, Tamil Nadu, India
Search for more papers by this authorV. Saravanan
Department of Computer Science, College of Engineering and Technology, Dambi Dollo University, Dambi Dollo, Oromia Region, Ethiopia
Search for more papers by this authorMani D. Choudhry,
Jeevanandham Sivaraj,
Sundarrajan Munusamy,
Parimala D. Muthusamy,
V. Saravanan,
Mani D. Choudhry
Department of Information Technology, KGiSL Institute of Technology, Coimbatore, Tamil Nadu, India
Search for more papers by this authorJeevanandham Sivaraj
Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India
Search for more papers by this authorSundarrajan Munusamy
Department of Networking and Communications, SRM Institute of Science &Technology, Chennai, Tamil Nadu, India
Search for more papers by this authorParimala D. Muthusamy
Department of Electronics and Communication Engineering, Velalar College of Engineering and Technology, Erode, Tamil Nadu, India
Search for more papers by this authorV. Saravanan
Department of Computer Science, College of Engineering and Technology, Dambi Dollo University, Dambi Dollo, Oromia Region, Ethiopia
Search for more papers by this authorBook Editor(s):Mahmoud Ragab AL-Refaey,
Amit Kumar Tyagi,
Abdullah Saad AL-Malaise AL-Ghamdi,
Swetta Kukreja,
Mahmoud Ragab AL-Refaey
Information Technology Department, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University (KAU), Jeddah, Saudi Arabia
Mathematics Department, Faculty of Science, Al-Azhar University, Naseir City, Cairo, Egypt
Search for more papers by this authorAmit Kumar Tyagi
Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, India
Search for more papers by this authorAbdullah Saad AL-Malaise AL-Ghamdi
Information Systems Department, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University (KAU), Jeddah, Saudi Arabia
Information Systems Department, School of Engineering, Computing and Design, Dar Al-Hekma University, Jeddah, Saudi Arabia
Search for more papers by this authorSwetta Kukreja
Department of Computer Science and Engineering, Amity University, Mumbai, Maharashtra, India
Search for more papers by this authorFirst published: 05 April 2024
Summary
Revolutionary analytics and intelligence developments have been linked to Industry 4.0. Because these revolutionary innovations have an opportunity to resolve common sustainability concerns, manufacturers must assess their contribution to equitable growth. To comprehend the probable contribution of these emerging methodologies to the economic, social, and ecological elements of manufacturing sectors, a thorough systematic analysis was done. The chapter also contains an overview of Industry 4.0 communication technologies. This chapter further emphasizes the relevance of Industry 4.0 for business administration in the domains of transportation and logistics. Health care has advanced significantly during the last century. This chapter investigates how Industry 4.0 can help health-care systems. It finally gives the overall performance analysis of all the sector-based strategies, which allows the researchers to get a clear idea of the domain.
References
-
Vaidya , S.
et al. (
2018
).
Industry 4.0 – a glimpse
.
Procedia Manufacturing
20
:
233
–
238
.
https://doi.org/10.1016/j.promfg.2018.02.034
.
10.1016/j.promfg.2018.02.034 Google Scholar
-
Qin , J.
et al. (
2016
).
A categorical framework of manufacturing for Industry 4.0 and beyond, changeable, agile, reconfigurable & virtual production
.
Procedia CIRP
52
:
173
–
178
.
10.1016/j.procir.2016.08.005 Google Scholar
- Rüßmann , M. et al. ( 2015 ). Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries , 1 – 14 . Boston Consulting Group .
- Neugebauer , R. et al. ( 2016 ). Industrie 4.0 - From the Perspective of Applied Research . 49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016), Procedia CIRP, 57 , 2 – 7 (25–27 May 2016). Stuttgart, Germany : Elsevier .
-
Thoben , K.D.
et al. (
2017
).
Industrie 4.0 and smart manufacturing – a review of research issues and application examples
.
International Journal of Automation Technology
11
(
1
):
4
–
16
.
10.20965/ijat.2017.p0004 Google Scholar
- Sipsas , K. et al. ( 2016 ). Collaborative maintenance in flow-line manufacturing environments: An Industry 4.0 approach . 5th CIRP Global Web Conference Research and Innovation for Future Production, Procedia CIRP , 55 , 236 – 241 (4–6 October 2016). Patras, Greece : Elsevier .
- Rennung , F. et al. ( 2016 ). Service Provision in the Framework of Industry 4.0 . SIM 2015 13th International Symposium in Management, Procedia – Social and Behavioural Sciences , 221 , 372 – 377 (9–10 October 2015). Timisoara, Romania : Elsevier .
- Brettel , M. et al. ( 2014 ). How virtualization, decentralization and network building change the manufacturing landscape: an Industry 4.0 perspective . International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering 8 ( 1 ): 37 – 36 .
- Lee , J. et al. ( 2014 ). Service innovation and smart analytics for Industry 4.0 and big data environment, Product Services Systems and Value Creation . Proceedings of the 6th CIRP Conference on Industrial Product-Service Systems, Procedia CIRP , 16 , 3 – 8 (1–2 May 2014). Windsor, Canada : Elsevier .
- Bahrin , M.A.K. et al. ( 2016 ). Industry 4.0: a review on industrial automation and robotic . Jurnal Teknologi (Sciences and Engineering) 78 : 137 – 143 .
-
Almada-Lobo , F.
(
2015
).
The Industry 4.0 revolution and the future of manufacturing execution systems (MES)
.
Journal of Innovation Management
3
(
4
):
16
–
21
.
10.24840/2183-0606_003.004_0003 Google Scholar
-
Erol , S.
et al. (
2016
).
Tangible Industry 4.0: a scenario-based approach to learning for the future of production
,
6th CLF -6th CIRP Conference on Learning Factories, Procedia CIRP
,
54
,
13
–
18
(29–30 June 2016).
Gjovik, Norway
:
Elsevier
.
10.1016/j.procir.2016.03.162 Google Scholar
- Garay-Rondero , C. et al. “ Digital supply chain model in Industry 4.0 .” Journal of Manufacturing Technology Management 31.5 ( 2020 ): 887 – 933 .
- Fatorachian , H. and Kazemi , H. ( 2018 ). A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework . Production Planning and Control 29 ( 8 ): 633 – 644 .
- Liao , Y. et al. ( 2017 ). Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal . International journal of production research 55 ( 12 ): 3609 – 3629 .
- Lu , Y. ( 2017 ). Industry 4.0: A survey on technologies, applications and open research issues . Journal of Industrial Information Integration 6 : 1 – 10 .
- van Lopik , K. et al. ( 2020 ). Developing augmented reality capabilities for industry 4.0 small enterprises: Lessons learnt from a content authoring case study . Computers in Industry 117 : 103208 .
- Kabugo , J.C. et al. ( 2020 ). Industry 4.0 based process data analytics platform: A waste-to-energy plant case study . International Journal of Electrical Power & Energy Systems 115 : 105508 .
-
Issa , A.
et al. (
2018
).
Industrie 4.0 roadmap: Framework for digital transformation based on the concepts of capability maturity and alignment
.
Procedia CIRP
,
72
,
973
–
978
(16–18 May 2018).
Stockholm, Sweden
:
Elsevier
.
10.1016/j.procir.2018.03.151 Google Scholar
-
Aiello , G.
et al. (
2020
).
Propulsion monitoring system for digitized ship management: preliminary results from a case study
.
Procedia Manufacturing
42
:
16
–
23
.
10.1016/j.promfg.2020.02.018 Google Scholar
- Oztemel , E. and Samet G. ( 2020 ). Literature review of Industry 4.0 and related technologies . Journal of Intelligent Manufacturing 31 : 127 – 182 .
- Stock , T. and Seliger , G. ( 2016 ). Opportunities of sustainable manufacturing in industry 4.0 . 13th Global Conference on Sustainable Manufacturing – Decoupling Growth from Resource Use 2015, Procedia CIRP 40 , 536 – 541 (16–18 September 2015). Binh Duong New City, Vietnam : Elsevier .
- Machado , C.G. et al. ( 2020 ). Sustainable manufacturing in Industry 4.0: an emerging research agenda . International Journal of Production Research 58 : 1462 – 1484 .
-
Kim , J.H.
(
2017
).
A review of cyber-physical system research relevant to the emerging IT trends: Industry 4.0, IoT, big data, and cloud computing
.
Journal of Industrial Integration and Management
2
:
1750011
.
10.1142/S2424862217500117 Google Scholar
- Haapala , K.R. et al. ( 2013 ). A review of engineering research in sustainable manufacturing . Journal of Manufacturing Science and Engineering ASME 135 ( 4 ): 135 .
- Garetti , M. and Taisch , M. ( 2012 ). Sustainable manufacturing: trends and research challenges . Production Planning & Control 23 ( 2–3 ): 83 – 104 .
-
Jayal , A. D.
et al. (
2010
).
Sustainable manufacturing: Modeling and optimization challenges at the product, process and system levels
.
CIRP Journal of Manufacturing Science and Technology
2
(
3
):
144
–
152
.
10.1016/j.cirpj.2010.03.006 Google Scholar
- VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik ( 2015 ). Status Report: Reference Architecture Model Industrie 4.0 (RAMI4.0) .
- Standard 19464 . ( 2016 ). Advanced Message Queuing Protocol 1.0 (AMQP 1.0) . ISO/IEC : Geneva, Switzerland .
- O'Hara , J. ( 2014 ). ISO 19464 Connecting Business for Value .
- Godfrey , R. , Ingham , D. , Schloming , R. ( 2012 ). OASIS Standard Advanced Message Queuing Protocol (AMQP) Version 1.0 .
- Standard PRF 20922 ( 2016 ). Message Queuing and Telemetry Transport (MQTT) Version 3.1.1 . ISO/IEC : Geneva, Switzerland .
- Standard RFC 7252 ( 2014 ). Constrained Application Protocol (CoAP) . IETF : Fremont, CA, USA .
- Standard RFC 6120 ( 2011 ). Extensible Message and Presence Protocol (XMPP) . IETF : Fremont, CA, USA .
- Standard RFC 7159 ( 2014 ). The JavaScript Object Notation (JSON) Data Interchange Format . IETF : Fremont, CA, USA .
- Meng , Z. et al. ( 2017 ). A data-oriented M2M messaging mechanism for industrial IoT applications . IEEE Internet of Things Journal 4 : 236 – 246 .
- Brizzi , P. et al. ( 2013 ). Bringing the Internet of Things along the manufacturing line: A case study in controlling industrial robot and monitoring energy consumption remotely . 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA) (10–13 September 2013). Cagliari, Italy : IEEE .
- Chang , C. et.al. ( 2013 ). A middleware for discovering proximity-based service-oriented industrial internet of things . 2015 IEEE International Conference on Services Computing (27 June 2015–02 July 2015). New York, NY, USA : IEEE .
- Packwood , D. et al. ( 2015 ). FPGA-based mixed-criticality execution platform for SystemJ and the Internet of Industrial Things . 2015 IEEE 18th International Symposium on Real-Time Distributed Computing (13–17 April 2015). Auckland, New Zealand : IEEE .
- Meng , Z. et al. ( 2017 ). A collaboration-oriented M2M messaging mechanism for the collaborative automation between machines in future industrial networks . Sensors 17 : 2694 .
-
Godoy , C.
et al. (
2018
).
Integration of sensor and actuator networks and the SCADA system to promote the migration of the legacy flexible manufacturing system towards the Industry 4.0 concept
.
Journal of Sensor and Actuator Networks
7
:
23
.
10.3390/jsan7020023 Google Scholar
- Rotatori , D. et al. ( 2020 ). The evolution of the workforce during the fourth industrial revolution . Human Resource Development International 24 : 92 – 103 .
- Ustundag , A. and Cevikcan , E. ( 2017 ). Industry 4.0: Managing the Digital Transformation . Cham, Switzerland : Springer International .
-
Schäfer , M.
(
2018
).
The fourth industrial revolution: how the EU can lead it
.
European View
17
:
5
–
12
.
10.1177/1781685818762890 Google Scholar
- Bláha , J. et al. ( 2021 ). Multidimensional analysis of ethical leadership for business development . European Journal of Sustainable Development 10 : 290 .
- Ghobakhloo , M. ( 2020 ). Industry 4.0, digitization, and opportunities for sustainability . Journal of Cleaner Production 252 : 119869 .
-
Bauer , W.
et al. (
2018
).
Digitalization of industrial value chains – a review and evaluation of existing use cases of Industry 4.0 in Germany
.
Logforum
14
:
331
–
340
.
10.17270/J.LOG.2018.288 Google Scholar
- Bai , C. et al. ( 2020 ). Industry 4.0 technologies assessment: a sustainability perspective . International Journal of Production Economics 229 : 107776 .
- ČEMERKOVÁ , Š. and MALÁTEK , V. ( 2019 ). Human Resources Management in Multinational Companies in Response to Logistics Needs and Meeting Their Goals . Proceedings of the 2nd International Conference on Decision Making for Small and Medium-Sized Enterprises . Conference Proceedings Silesian University in Opava, School of Business Administration in Karviná: Karviná , Czech Republic , 61 – 69 .
-
Nitsche , B.
et al. (
2021
).
Application areas and antecedents of automation in logistics and supply chain management: a conceptual framework
.
Supply Chain Forum: An International
22
:
223
–
239
.
10.1080/16258312.2021.1934106 Google Scholar
- Nitsche , B. and Straube , F. ( 2021 ). Defining the “new normal” in international logistics networks: Lessons learned and implications of the COVID-19 pandemic . WiSt—Wirtsch Stud 50 : 16 – 25 .
-
Nitsche , B.
(
2021
).
Exploring the potentials of automation in logistics and supply chain management: paving the way for autonomous supply chains
.
Logistics
5
:
51
.
10.3390/logistics5030051 Google Scholar
-
Gerlach , B.
(
2021
).
Digital supply chain twins-conceptual clarification, use cases and benefits
.
Logistics
5
:
86
.
10.3390/logistics5040086 Google Scholar
- Winkelhaus , S. et al. ( 2019 ). Logistics 4.0: a systematic review towards a new logistics system . International Journal of Production Research 58 : 18 – 43 .
- Dördüncü , H. ( 2021 ). Logistics, supply chains and smart factories . In: Accounting, Finance, Sustainability, Governance & Fraud: Theory and Application (ed. İ. İyigün and Ö.F. Görçün ), 137 – 152 . Singapore : Springer .
-
Barreto , L.
et al. (
2017
).
Industry 4.0 implications in logistics: an overview
.
Procedia Manufacturing
13
:
1245
–
1252
.
10.1016/j.promfg.2017.09.045 Google Scholar
- Glistau , E. and Machado , N.I.C. ( 2018 ). Industry 4.0, logistics 4.0 and materials-Chances and solutions . Materials Science Forum 919 . Trans Tech Publications Ltd .
- Kim , E. et al. ( 2022 ). The necessity of introducing autonomous trucks in logistics 4.0 . Sustainability 14 : 3978 .
- Von Eiff , M. C. and Von Eiff , W. ( 2020 ). The digitalisation of healthcare . Health Management.org Journal 20 ( 6 ).
- Price , W. N. and Glenn Cohen , I. ( 2019 ). Privacy in the age of medical big data . Nature Medicine 25 : 37 – 43 .
-
Kute , S.S.
et al. (
2022
).
Industry 4.0 challenges in e-healthcare applications and emerging technologies
. In:
Intelligent Interactive Multimedia Systems for e-Healthcare Applications
(ed.
A.K. Tyagi
,
A. Abraham
, and
A. Kaklauskas
).
Singapore
:
Springer
https://doi.org/10.1007/978-981-16-6542-4_1
.
10.1007/978-981-16-6542-4_14 Google Scholar
