IJBTT

Sustainable Manufacturing in Industry 4.0 Context: Theoretical Background and Multi-Agent Architecture

Sustainable Manufacturing in Industry 4.0 Context: Theoretical Background and Multi-Agent Architecture
	© 2022 by IJETT Journal
	Volume-70 Issue-12
	Year of Publication : 2022
	Author : Nawal Bensassi, Maha Rezzai, Dachry wafaa, Hicham Medromi
	DOI : 10.14445/22315381/IJETT-V70I12P219

How to Cite?

Nawal Bensassi, Maha Rezzai, Dachry wafaa, Hicham Medromi, "Sustainable Manufacturing in Industry 4.0 Context: Theoretical Background and Multi-Agent Architecture," International Journal of Engineering Trends and Technology, vol. 70, no. 12, pp. 179-193, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I12P219

Abstract
Today, manufacturing companies are confronted with increasing pressure on prices, lead times and demands of product customization. They need to reinvent their business and industrial operations along the value chains for greater efficiency by exploring advanced technologies such as cyber-physical systems, artificial intelligence, robotics, the Internet of things, big data, cloud computing, etc. Under the current global scenario, the trend towards using these technologies is considered a major factor in the fourth industrial revolution (called industry 4.0). Many organizations are in the transition stage to I4.0 in order to make their processes more collaborative and smarter. Besides that, the new possibilities opened up by these technologies can also increase the efficiency of circular economy and, more specifically, sustainable manufacturing. This is to optimize resources, reduce waste generation, manage returned products, and help factories implement cleaner industrial processes. The present study considers articles focusing on environmental sustainability in the industry 4.0 context. We draw up an analysis of the theoretical background, including related works on sustainability and industry 4.0. The paper also presents sustainable reverse logistics architecture based on multi-agent and expert systems. We have combined the agent paradigm with industry 4.0 to achieve a scalable, efficient, reliable, autonomous, and adaptive system

Keywords
Sustainable manufacturing, Industry 4.0, Circular economy, Reverse logistics, Multi-agent system.

References
[1] Volkan Yavaş, and Yeşim Deniz Özkan-Özen, “Impacts of Industry 4.0 On Logistics Sector: A Theoretical Research Model Proposal,” International Caucasus-Central Asia Foreign Trade and Logistics Congress, Didim/AYDIN, pp. 893-901, 2018.
[2] Ercan Oztemel, and Samet Gursev, “Literature Review of Industry 4.0 and Related Technologies,” Journal of Intelligent Manufacturing, vol. 31, pp. 127–182, 2020. Crossref, https://doi.org/10.1007/s10845-018-1433-8
[3] B. Tjahjonoa et al., “What does Industry 4.0 Mean to Supply Chain?,” Manufacturing Engineering Society International Conference 2017, MESIC 2017, Vigo (Pontevedra), Spain, vol. 13, pp. 1175-1182, 2017. Crossref, https://doi.org/10.1016/j.promfg.2017.09.191
[4] Yenumula B. Reddy, “Cloud-Based Cyber-Physical Systems: Design Challenges and Security Needs,” 2014 10th International Conference on Mobile Ad-Hoc and Sensor Networks, pp. 315-322, 2014. Crossref, https://doi.org/10.1109/MSN.2014.50
[5] John Fitzgerald et al., “Cyber-Physical Systems Design: Formal Foundations, Methods and Integrated Tool Chains,” 2015 IEEE/ACM 3rd FME Workshop on Formal Methods in Software Engineering, pp. 40-46, 2015. Crossref, https://doi.org/10.1109/FormaliSE.2015.14
[6] Ravinder Kumar, Rajesh Kr. Singh, and Yogesh Kr. Dwived, “Application of Industry 4.0 Technologies in Smes for Ethical and Sustainable Operations: Analysis of Challenges,” Journal of Cleaner Production, vol. 275, p. 124063, 2020. Crossref, https://doi.org/10.1016/j.jclepro.2020.124063
[7] Ashraf Darwish, and Aboul Ella Hassanien, “Cyber-Physical Systems Design, Methodology, and Integration: The Current Status and Future Outlook,” Journal of Ambient Intelligence and Humanized Computing, vol. 9, pp. 1541-1556, 2018. Crossref, https://doi.org/10.1007/s12652-017-0575-4
[8] Antoine Bagula, Olasupo Ajayi, and Hloniphani Maluleke, “Cyber-Physical Systems Dependability Using CPS-IOT Monitoring,” Sensors, vol. 21, no. 8, p. 2761, 2021. Crossref, https://doi.org/10.3390/s21082761
[9] Manu Suvarna et al., “Cyber-Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective,” Engineering, vol. 7, no. 9, pp. 1212-1223, 2021. Crossref, https://doi.org/10.1016/j.eng.2021.04.021
[10] Li Da Xu, and Lian Duan, “Big Data for Cyber-Physical Systems in Industry 4.0: A Survey,” Enterprise Information Systems, vol. 13, no. 2, pp. 148-169, 2018. Crossref, https://doi.org/10.1080/17517575.2018.1442934
[11] Ting Zheng et al., “The Applications of Industry 4.0 Technologies in Manufacturing Context: A Systematic Literature Review,” International Journal of Production Research, vol. 59, no. 6, pp. 1922-1954, 2021. Crossref, https://doi.org/10.1080/00207543.2020.1824085
[12] Firouzeh Taghikhah, Alexey Voinov, and Nagesh Shukla, “Extending the Supply Chain to Address Sustainability,” Journal of Cleaner Production, vol. 229, pp. 652-666, 2019. Crossref, https://doi.org/10.1016/j.jclepro.2019.05.051
[13] Zahra Ahmadi-Gh, and Alejandro Bello-Pintado, “Why is Manufacturing Not More Sustainable? The Effects of Different Sustainability Practices on Sustainability Outcomes and Competitive Advantage,” Journal of Cleaner Production, vol. 337, p. 130392, 2022. Crossref, https://doi.org/10.1016/j.jclepro.2022.130392
[14] Rakesh R. Menon, and V. Ravi, “Analysis of Enablers of Sustainable Supply Chain Management in Electronics Industries: The Indian Context,” Cleaner Engineering and Technology, vol. 5, p. 100302, 2021. Crossref, https://doi.org/10.1016/j.clet.2021.100302
[15] T.Stock, and G.Seliger, “Opportunities of Sustainable Manufacturing in Industry 4.0,” In Procedia CIRP, vol. 40, pp. 536–541, 2016. Crossref, https://doi.org/10.1016/j.procir.2016.01.129
[16] Ricardo Chalmeta, and Nestor J. Santos-deLeón, “Sustainable Supply Chain in the Era of Industry 4.0 and Big Data: A Systematic Analysis of Literature and Research,” Sustainability, vol. 12, no. 10, p. 4108, 2020. Crossref, https://doi.org/10.3390/su12104108
[17] Theofilos D.Mastos et al., “Introducing an Application of an Industry 4.0 Solution for Circular Supply Chain Management,” Journal of Cleaner Production, vol. 300, p. 126886, 2021. Crossref, https://doi.org/10.1016/j.jclepro.2021.126886
[18] Deepak Singhala, Sushanta Tripathya, and Sarat Kumar Jena, “Remanufacturing for the Circular Economy: Study and Evaluation of Critical Factors,” Resources, Conservation and Recycling, vol. 156, p. 104681, 2020. Crossref, https://doi.org/10.1016/j.resconrec.2020.104681
[19] I.S.Jawahir, and Ryan Bradley, “Technological Elements of Circular Economy and the Principles of 6R-Based Closed-loop Material Flow in Sustainable Manufacturing,” Procedia CIRP, vol. 40, pp. 103–108, 2016. Crossref, https://doi.org/10.1016/j.procir.2016.01.067
[20] Inés Sittón Candanedo et al., “MASPI: A Multi Agent System for Prediction in Industry 4.0 Environment,” International Joint Conference SOCO’18-CISIS’18-ICEUTE’18, pp. 197-206, 2018. Crossref, https://doi.org/10.1007/978-3-319-94120-2_19
[21] Lucas Sakurada, and Paulo Leitão, “Multi-Agent Systems to Implement Industry 4.0 Components,” 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS), pp. 21-26, 2020. Crossref, https://doi.org/10.1109/ICPS48405.2020.9274745
[22] Shiyong Wang et al., “Towards Smart Factory for Industry 4.0: A Self-Organized Multi-Agent System with Big Data Based Feedback and Coordination,” Computer Networks, vol. 101, pp. 158-168, 2016. Crossref, https://doi.org/10.1016/j.comnet.2015.12.017
[23] Erik Hofmann, and Marco Rüsch, “Industry 4.0 and the Current Status as Well as Future Prospects on Logistics,” Computers in Industry, vol. 89, pp. 23-34, 2017. Crossref, https://doi.org/10.1016/j.compind.2017.04.002
[24] Lorenzo Ardito et al., “Towards Industry 4.0:Mapping Digital Technologies for Supply Chain Management-Marketing Integration,” Business Process Management Journal, vol. 25, no. 2, pp. 323-346, 2018. Crossref, https://doi.org/10.1108/BPMJ-04-2017-0088
[25] Beata Mrugalska, and Magdalena K.Wyrwicka, “Towards Lean Production in Industry 4.0,” Procedia Engineering, vol. 182, pp. 466-473, 2017. Crossref, https://doi.org/10.1016/j.proeng.2017.03.135
[26] Jian Qin, Ying Liu, and Roger Grosvenor, “A Categorical Framework of Manufacturing for Industry 4.0 and Beyond,” Procedia CIRP, vol. 52, pp. 173-178, 2016. Crossref, https://doi.org/10.1016/j.procir.2016.08.005
[27] Daniel Forgues et al., “From Industry 4.0 to Construction 4.0: Concrete Examples,” 2019.
[28] Fanny-Ève Bordeleau, Elaine Mosconi, and Luis Antonio Santa-Eulalia, “Business Intelligence in Industry 4.0: State of the Art and Research Opportunities,” 2018.
[29] Behzad Esmaeiliana et al., “Blockchain for the Future of Sustainable Supply Chain Management in Industry 4.0,” Resources, Conservation & Recycling, vol. 163, p. 105064, 2020. Crossref, https://doi.org/10.1016/j.resconrec.2020.105064
[30] Birgit Vogel-Heuser; and Dieter Hess, “Guest Editorial Industry 4.0–Prerequisites and Visions,” IEEE Transactions on Automation Science and Engineering, vol. 13, no. 2, pp. 411–413, 2016. Crossref, https://doi.org/10.1109/TASE.2016.2523639
[31] Valeria Belvedere, Andrea Chiarini, and Alberto Grando, “The Synergic Effect of Industry 4.0 Technologies on the Operations Performance, Evidence from Italy,” 25th International EurOMA Conference in Budapest, Hungary, 2018.
[32] Jiani Zhang, “Cognitive Manufacturing & Industry 4.0,” Internet of Things Blog, 2017.
[33] Michael P. Papazoglou, “Metaprogramming Environment for Industry 4.0,” International Conference on Enterprise System (ES), Limassol, pp. 18, 2018. Crossref, https://doi.org/10.1109/ES.2018.00008
[34] Sarah El Hamdi, Mustapha Oudani, and Abdellah Abouabdellah, “Morocco's Readiness to Industry 4.0,” Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT'18), SETIT 2018, Smart Innovation, Systems and Technologies, Springer, vol. 146, pp. 463-472, 2018. Crossref, https://doi.org/10.1007/978-3-030-21005-2_44
[35] Xiaoxiao Xu et al., “Industrial Internet of Things for Smart Manufacturing Applications using Hierarchical Trustful Resource Assignment,” Computer Communications, vol. 160, pp. 423-430, 2020. Crossref, https://doi.org/10.1016/j.comcom.2020.06.004
[36] Wei Chen, “Intelligent Manufacturing Production Line Data Monitoring System for Industrial Internet of Things,” Computer Communications, vol. 151, pp. 31-41, 2020. Crossref, https://doi.org/10.1016/j.comcom.2019.12.035
[37] Asharul Islam Khana, and Ali Al-Badi, “Open Source Machine Learning Frameworks for Industrial Internet of Things,” Procedia Computer Science, vol. 170, pp. 571–577, 2020. Crossref, https://doi.org/10.1016/j.procs.2020.03.127
[38] Yu–Ju Lin, Ci-Bin Lan, and Chin-Yin Huanga, “A Realization of Cyber-Physical Manufacturing Control System Through Industrial Internet of Things,” Procedia Manufacturing, vol. 39, pp. 287-293, 2019. Crossref, https://doi.org/10.1016/j.promfg.2020.01.449
[39] Maribel Yasmina Santos et al., “A Big Data System Supporting Bosch Braga Industry 4.0 Strategy,” International Journal of Information Management, vol. 37, no.6, pp. 750-760, 2017. Crossref, https://doi.org/10.1016/j.ijinfomgt.2017.07.012
[40] Min Chen, Shiwen Mao, and Yunhao Liu, “Big Data: A Survey,” Mobile Networks and Applications, vol. 19, pp. 171–209, 2014. Crossref, https://doi.org/10.1007/s11036-013-0489-0
[41] Richard Crowder, “Cyber-Physical Systems and Security,” Electric Drives and Electromechanical Systems, pp. 271–289, 2020.
[42] Qinglin Qi et al., “Modeling of Cyber-Physical Systems and Digital Twin Based on Edge Computing, Fog Computing and Cloud Computing Towards Smart Manufacturing,” ASME 2018 13th International Manufacturing Science and Engineering Conference, 2018. Crossref, https://doi.org/10.1115/MSEC2018-6435
[43] Christian Matt, “Fog Computing: Complementing Cloud Computing to Facilitate Industry 4.0,” Business &Information Systems Engineering, vol. 60, pp. 351-355, 2018. Crossref, https://doi.org/10.1007/s12599-018-0540-6
[44] Jay Lee, “Industrial AI Applications with Sustainable Performance,” Springer ebook, 2020. Crossref, https://doi.org/10.1007/978-981-15-2144-7
[45] Ajil Ouahib et al., “A Comprehensive Review of Iot and Artificial Intelligence Technologies for the Development of Industry 4.0,” International Conference in Operational Management and Supply Chain Management - CIMOCL'20, FST de Settat, Morocco, 2020.
[46] Yuliang Yuna, Dexin Mab, and Meihong Yang, “Human-Computer Interaction-Based Decision Support System with Applications in Data Mining,” Future Generation Computer Systems, vol. 114, pp. 285-289, 2020. Crossref, https://doi.org/10.1016/j.future.2020.07.048
[47] Yuan Guo et al., “The Internet of Things-Based Decision Support System for Information Processing in Intelligent Manufacturing Using Data Mining Technology,” Mechanical Systems and Signal Processing, vol. 142, pp. 106630, 2020. Crossref, https://doi.org/10.1016/j.ymssp.2020.106630
[48] Harley Oliff, and Ying Liu, “Towards Industry 4.0 Utilizing Data-Mining Techniques: A Case Study on Quality Improvement,” Procedia CIRP, vol. 63, pp. 167-172, 2017. Crossref, https://doi.org/10.1016/j.procir.2017.03.311
[49] Miryam Barad, “Linking Cyber Security Improvement Actions in Healthcare Systems to Their Strategic Improvement Needs,” Procedia Manufacturing, vol. 39, pp. 279–286, 2019. Crossref, 10.1016/j.promfg.2020.01.335
[50] "Good Practice for Security of Internet of Things in the Context of Smart Manufacturing," European Union Agency for Networked and Information Security (ENISA), 2018.
[51] Andrii Boikoa, Vira Shendrykb, and Olha Boiko, “Information Systems for Supply Chain Management: Uncertainties, Risks and Cyber Security,” Procedia Computer Science, vol. 149, pp. 65–70, 2019. Crossref, https://doi.org/10.1016/j.procs.2019.01.108
[52] QianYan et al., “A Review of 3D Printing Technology for Medical Applications,” Engineering, vol. 4, no. 5, pp. 729-742, 2018. Crossref, https://doi.org/10.1016/j.eng.2018.07.021
[53] Alessandro Ceruti et al.,“Maintenance in Aeronautics in an Industry 4.0 Context: The Role of Augmented Reality and Additive,” Journal of Computational Design and Engineering, vol. 6, no. 4, pp. 516-526, 2019. Crossref, https://doi.org/10.1016/j.jcde.2019.02.001
[54] Seung Ki Moon et al., “Application of 3D Printing Technology for Designing Lightweight Unmanned Aerial Vehicle Wing Structures,” International Journal of Precision Engineering and Manufacturing-Green Technology, vol. 1, no. 3, pp. 223–228, 2014. Crossref, https://doi.org/10.1007/s40684-014-0028-x
[55] Zhen Gao et al., “From Industry 4.0 to Robotics 4.0 - A Conceptual Framework for Collaborative and Intelligent Robotic Systems,” Procedia Manufacturing, vol. 46, pp. 591–599, 2020. Crossref, https://doi.org/10.1016/j.promfg.2020.03.085
[56] Chundong Wang et al., “How to Secure Autonomous Mobile Robots? An Approach with Fuzzing, Detection and Mitigation,” Journal of Systems Architecture, vol. 112, p. 101838, 2021. Crossref, https://doi.org/10.1016/j.sysarc.2020.101838
[57] Vinu Vijayakumaran Nair, Daniel Kuhn, and Vera Hummel, “Development of an Easy Teaching and Simulation Solution for an Autonomous Mobile Robot System,” Procedia Manufacturing, vol. 31, pp. 270–276, 2019. Crossref, https://doi.org/10.1016/j.promfg.2019.03.043
[58] ShirineEl Zaatari et al., “Cobot Programming for Collaborative Industrial Tasks: An overview,” Robotics and Autonomous Systems, vol. 116, pp. 162-180, 2019. Crossref, https://doi.org/10.1016/j.robot.2019.03.003
[59] Sebastian Haag, and Reiner Anderl, “Digital Twin- Proof of Concept,” Manufacturing Letter, vol. 15, pp. 64-66, 2018. Crossref, https://doi.org/10.1016/j.mfglet.2018.02.006
[60] Fei Tao et al., “Digital Twin-Driven Product Design, Manufacturing and Service with Big Data,” The International Journal of Advanced Manufacturing Technology, vol. 94, pp. 3563-3576, 2018. Crossref, https://doi.org/10.1007/s00170-017-0233-1
[61] Cordula Czwick, and Reiner Anderl, “Cyber-Physical Twins - Definition, Conception and Benefit,” Procedia CIRP, vol. 90, pp. 584-588, 2020. Crossref, https://doi.org/10.1016/j.procir.2020.01.070
[62] Information Report, 2018. [Online]. Available: http://www.assemblee-nationale.fr/dyn/15/rapports/micblocs/l15b1501_rapport-information
[63] Jay Lee, Moslem Azamfar, and Jaskaran Singh, “A Blockchain Enabled Cyber-Physical System Architecture for Industry 4.0 Manufacturing Systems,” Manufacturing Letters, vol. 20, pp. 34-39, 2019. Crossref, https://doi.org/10.1016/j.mfglet.2019.05.003
[64] Gun-Yeal Lee et al., “Metasurface Eyepiece for Augmented Reality,” Nature Communications, vol. 9, p. 4562, 2018. Crossref, https://doi.org/10.1038/s41467-018-07011-5
[65] Omer Kavrar, "Energy Accounting and Sustainability: Analysis of Energy Performance in a Manufacturing Company," SSRG International Journal of Economics and Management Studies, vol. 7, no. 6, pp. 76-84, 2020. Crossref, https://doi.org/10.14445/23939125/IJEMS-V7I6P112
[66] J Jong-Young Hong et al., “See-Through Optical Combiner for Augmented Reality Head-Mounteddisplay: Index-Matched Anisotropic Crystal Lens," Scientific Reports, vol. 7, p. 2753, 2017. Crossref, https://doi.org/10.1038/s41598-017-03117-w
[67] Aldo Faisal, “Computer Science: Visionary of Virtual Reality,” Nature, vol. 551, pp. 298–299, 2017. Crossref, https://doi.org/10.1038/551298a
[68] Surajit Bag, and Jan Harm Christiaan Pretorius, “Relationships between Industry 4.0, Sustainable Manufacturing and Circular Economy: Proposal of a Research Framework,” International Journal of Organizational Analysis, vol. 30, no. 4, pp. 864-898, 2022. Crossref, https://doi.org/10.1108/ijoa-04-2020-2120
[69] Bjoern Jaeger, and Arvind Upadhyay, “Understanding Barriers to Circular Economy: Cases from the Manufacturing Industry,” Journal of Enterprise Information Management, vol. 33, no. 4, pp. 729-745, 2020. Crossref, https://doi.org/10.1108/jeim-02-2019-0047
[70] Hao Zhang, and Karl R. Haapala, “Integrating Sustainable Manufacturing Assessment Into Decision Making for a Production Work Cell,” Journal of Cleaner Production, vol. 105, pp. 52-63, 2015. Crossref, https://doi.org/10.1016/j.jclepro.2014.01.038
[71] Antonio Sartal et al., “The Sustainable Manufacturing Concept, Evolution and Opportunities within Industry 4.0: A Literature Review,” Advances in Mechanical Engineering, vol. 12, no. 5, 2014. Crossref, https://doi.org/10.1177/1687814020925232
[72] Anbesh Jamwal et al., “Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions,” Applied Sciences, vol. 11, no. 12, p. 5725, 2021. Crossref, https://doi.org/10.3390/app11125725
[73] Heng Jong Ngu, Man Djun Lee, and Mohd Shahril Bin Osman, “Review on Current Challenges and Future Opportunities in Malaysia Sustainable Manufacturing: Remanufacturing Industries,” Journal of Cleaner Production, vol. 273, p. 123071, 2020. Crossref, https://doi.org/10.1016/j.jclepro.2020.123071
[74] Enyoghasi C., and Badurdeen, F., “Industry 4.0 for Sustainable Manufacturing, Opportunities at the Product, Process, and System Levels,” Resources, Conservation and Recycling, vol. 166, no. 1, p. 105362, 2021. Crossref, https://doi.org/10.1016/j.resconrec.2020.105362
[75] Okechukwu Okorie et al., “Digitisation and the Circular Economy: A Review of Current Research and Future Trends,” Energies, vol. 11, no. 11, p. 3009, 2018. Crossref, https://doi.org/10.3390/en11113009
[76] Ellen Mac Arthur Foundation, “Toward the Circular Economy: Economic and Business Rationale for an Accelerated Transition,” pp. 1–97, 2013.
[77] Sunil Luthra, and Sachin Kumar Mangla, “Evaluating challenges to Industry 4.0 Initiatives for Supply Chain Sustainability in Emerging Economies,” Process Safety and Environmental Protection, vol. 117, pp. 168–179, 2018. Crossref, https://doi.org/10.1016/j.psep.2018.04.018
[78] Mohamed Abubakr et al., “Sustainable and Smart Manufacturing: An Integrated Approach,” Sustainability, vol. 12, no. 6, p. 2280, 2020. Crossref, https://doi.org/10.3390/su12062280
[79] Ravinder Kumar, Rajesh Kr. Singh, and Yogesh Kr. Dwivedi, “Application of Industry 4.0 Technologies in Indian SMEs for Sustainable Growth: Analysis of Challenges,” Journal of Cleaner Production, vol. 275, p. 124063, 2020. Crossref, https://doi.org/10.1016/j.jclepro.2020.124063
[80] Peter Onu, and Charles Mbohwa, “Industry 4.0 Opportunities in Manufacturing SMEs: Sustainability Outlook,” Materials Today: Proceedings, vol. 44, pp.1925-1930, 2021. Crossref, https://doi.org/10.1016/j.matpr.2020.12.095
[81] Sangwan S.R, and Bhatia M.P.S, “Sustainable Development in Industry 4.0, in a Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development,” Advances in Science, Technology & Innovation; Springer: Cham, Switzerland, 2020.
[82] Pravin Kumar, Rajesh Kr Singh, and Vikas Kumar, “Managing Supply Chains for Sustainable Operations in the Era of Industry 4.0 and Circular Economy: Analysis of Barriers,” Resources, Conservation and Recycling, vol. 164, p. 105215, 2021. Crossref, https://doi.org/10.1016/j.resconrec.2020.105215
[83] Elpidio Oscar Benitez Nara et al., “Expected Impact of Industry 4.0 Technologies on Sustainable Development: A Study in the Context of Brazil's Plastic Industry,” Sustainable Production and Consumption, vol. 25, pp. 102-122, 2021. Crossref, https://doi.org/10.1016/j.spc.2020.07.018
[84] V Ramana Reddy, and E SakshalSreeman, "Sustainable aspects of Green Supply Chain Management in Manufacturing Environment," SSRG International Journal of Industrial Engineering, vol. 3, no. 3, pp. 17-22, 2016. Crossref, https://doi.org/10.14445/23499362/IJIE-V3I5P104
[85] Javed Malek, and Tushar N.Desai, “A Framework for Prioritizing the Solutions to Overcome Sustainable Manufacturing Barriers,” Cleaner Logistics and Supply Chain, vol. 1, p. 100004, 2021. Crossref, https://doi.org/10.1016/j.clscn.2021.100004
[86] Shan Ren et al., “A Comprehensive Review of Big Data Analytics throughout Product Lifecycle to Support Sustainable Smart Manufacturing: A Framework, Challenges and Future Research Directions,” Journal of Cleaner Production, vol. 210, pp. 1343-1365, 2019. Crossref, https://doi.org/10.1016/j.jclepro.2018.11.025
[87] Yankai Wang et al., “Big data driven Hierarchical Digital Twin Predictive Remanufacturing paradigm: Architecture, Control Mechanism, Application Scenario and Benefits,” Journal of Cleaner Production, vol. 248, p. 119299, 2020. Crossref, https://doi.org/10.1016/j.jclepro.2019.119299
[88] O.Okorie et al., “A Decision-Making Framework for the Implementation of Remanufacturing in Rechargeable Energy Storage System in Hybrid and Electric Vehicles,” Procedia Manufacturing, vol. 25, pp. 142-153, 2018. Crossref, https://doi.org/10.1016/j.promfg.2018.06.068
[89] Arfan Majeed et al., “A Big Data-Driven Framework for Sustainable and Smart Additive Manufacturing,” Robotics and Computer-Integrated Manufacturing, vol. 67, p. 102026, 2021. Crossref, https://doi.org/10.1016/j.rcim.2020.102026
[90] Galal M. Abdella et al., “Sustainability Assessment and Modeling Based on Supervised Machine Learning Techniques: The Case for Food Consumption,” Journal of Cleaner Production, vol. 251, p. 119661, 2020. Crossref, https://doi.org/10.1016/j.jclepro.2019.119661
[91] Tope Roseline Olorunfemi, and Nnamdi I. Nwulu, “Multi-Agent Based Optimal Operation of Hybrid Energy Sources Coupled with Demand Response Programs,” Sustainability, vol. 13, no. 14, p. 7756, 2021. Crossref, https://doi.org/10.3390/su13147756
[92] Dan Yang et al., “Understanding the Effect of Multi-Agent Collaboration on the Performance of Logistics Park Projects: Evidence from China,” Sustainability, vol. 14, no. 7, p. 4179, 2022. Crossref, https://doi.org/10.3390/su14074179
[93] Adriana Giret et al., “A Holonic Multi-Agent Methodology to Design Sustainable Intelligent Manufacturing Control Systems,” Journal of Cleaner Production, vol. 167, pp. 1370-1386, 2017. Crossref, https://doi.org/10.1016/j.jclepro.2017.03.079
[94] Adriana Giret, and Miguel A. Salido, “A Multi-Agent Approach to Implement a Reverse Production Virtual Market in Green Supply Chains,” Advances in Production Management Systems, vol. 514, pp. 399-407, 2017. Crossref, https://doi.org/10.1007/978-3-319-66926-7_46
[95] Raj KishorPradhan, and Bibhudatta Sahoo, "A Case Study of Sustainable Development of Global Economics," SSRG International Journal of Economics and Management Studies, vol. 9, no. 3, pp. 48-52, 2022. Crossref, https://doi.org/10.14445/23939125/IJEMS-V9I3P106
[96] Mickaël Bettinelli et al., “A Decision Support Framework for Remanufacturing of Highly Variable Products Using a Collective Intelligence Approach,” Procedia CIRP, vol. 90, pp. 594-599, 2020. Crossref, https://doi.org/10.1016/j.procir.2020.06.003
[97] Ewa Dostatni et al., “Multi-Agent System to Support Decision-Making Process in Design for Recycling,” Soft Computing, vol. 20, no. 11, pp. 4347–4361. Crossref, https://doi.org/10.1007/s00500-016-2302-z
[98] Pezhman Ghadimi et al., “Intelligent Sustainable Supplier Selection Using Multi-Agent Technology: Theory and Application for Industry 4.0 Supply Chains,” Computers & Industrial Engineering, vol. 127, pp. 588-600, 2019. Crossref, https://doi.org/10.1016/j.cie.2018.10.050
[99] Nawal Bensassi et al., “Multi-Agent Architecture for Managing Return Flows,” 2018 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA), pp. 1-6, 2018. Crossref, https://doi.org/10.1109/LOGISTIQUA.2018.8428281
[100] Jalil Baddaoui, Abdelhakim Nassimi, and Zouadi Tarik, “Sustainable Supply Chain and Reverse Logistics Management: An Empirical Study in the Moroccan Automotive Sector,” Conference: International Conference on Industrial Engineering and Operations Management, Morocco, pp. 1071-1079, 2017.
[101] Allae Erraissi, Abdessamad Belangour, and Abderrahim Tragha “Meta-Modeling of Data Sources and Ingestion Big Data Layers,” SSRN Electronic Journal, 2018. Crossref, https://doi.org/10.2139/ssrn.3185342
[102] Jaber Alwidian et al., “Big Data Ingestion and Preparation Tools,” Modern Applied Science, vol. 14, no. 9, pp. 12-27, 2020. Crossref, https://doi.org/10.5539/mas.v14n9p12
[103] Chetan S Patange, Aruntigadi, and Sadanand B Kulkarni, "Survey on Industry 4.0," International Journal of Engineering Trends and Technology, vol. 67, no. 5, pp. 153-159, 2019. Crossref, https://doi.org/10.14445/22315381/IJETT-V67I5P226
[104] Neeraj Kaushik, Dr. Teena Bagga, and Dr. Rashmi K Aggarwal, “Comparative Study on IoT Technologies - Short & Long Range,” International Journal of Engineering Trends and Technology, vol. 68, no. 12, pp. 37-42, 2020. Crossref, https://doi.org/10.14445/22315381/IJETT-V68I12P207
[105] Lorenzo Damiani et al., “Augmented and Virtual Reality Applications in Industrial Systems: A Qualitative Review Towards the Industry 4.0 Era,” IFAC-PapersOnLine, vol. 51, no. 11, pp. 624–630, 2018. Crossref, https://doi.org/10.1016/j.ifacol.2018.08.388
[106] Ana Beatriz Lopes de Sousa Jabbour et al., "Industry 4.0 and the Circular Economy: A Proposed Research Agenda and Original Roadmap for Sustainable Operations," Annals of Operations Research, Springer, vol. 270, no. 1, pp. 273-286, 2018. Crossref, https://doi.org/10.1007/s10479-018-2772-8
[107] Ming-Chuan Chiu, and Chi-Hsuan Tsai, “Design a Personalised Product Service System Utilising a Multi-Agent System,” Advanced Engineering Informatics, vol. 43, p. 101036, 2020. Crossref, https://doi.org/10.1016/j.aei.2020.101036