Industry 4.0, digitization, and opportunities for sustainability

Journal of Cleaner Production - Tập 252 - Trang 119869 - 2020
Morteza Ghobakhloo1,2
1Department of Industrial Engineering, Minab Higher Education Center, University of Hormozgan, Bandar Abbas, Iran
2Modern Technology Development and Implementation Research Center, University of Hormozgan, Bandar Abbas, Iran

Tài liệu tham khảo

Åkerman, 2018, Modularized assembly system: a digital innovation hub for the Swedish smart industry, Manuf. Lett., 15, 143, 10.1016/j.mfglet.2018.01.004 Ardito, 2019, Towards Industry 4.0: mapping digital technologies for supply chain management-marketing integration, Bus. Process Manag. J., 25, 323, 10.1108/BPMJ-04-2017-0088 Barata, 2018, Mobile supply chain management in the industry 4.0 era: an annotated bibliography and guide for future research, J. Enterp. Inf. Manag., 31, 173 Bartunek, 1984, The nominal group technique: expanding the basic procedure and underlying assumptions, Group Organ. Stud., 9, 417, 10.1177/105960118400900307 Batista, 2017, Services enabler architecture for smart grid and smart living services providers under industry 4.0, Energy Build., 141, 16, 10.1016/j.enbuild.2017.02.039 Bauer, 2018, The Internet and income inequality: socio-economic challenges in a hyperconnected society, Telecommun. Policy, 42, 333, 10.1016/j.telpol.2017.05.009 Bechtsis, 2018, Intelligent Autonomous Vehicles in digital supply chains: a framework for integrating innovations towards sustainable value networks, J. Clean. Prod., 181, 60, 10.1016/j.jclepro.2018.01.173 Beier, 2018, More sustainability in industry through industrial internet of things?, Appl. Sci., 8, 1, 10.3390/app8020219 Beier, 2017, Sustainability aspects of a digitalized industry–A comparative study from China and Germany, Int. J. Precis. Eng. Manuf. Green Technol., 4, 227, 10.1007/s40684-017-0028-8 Braccini, 2019, Exploring organizational sustainability of industry 4.0 under the triple bottom line: the case of a manufacturing company, Sustainability, 11, 1 Bragança, 2019, A brief overview of the use of collaborative robots in industry 4.0: human role and safety, 641 Branger, 2015, From automated home to sustainable, healthy and manufacturing home: a new story enabled by the Internet-of-Things and Industry 4.0, J. Manag. Anal., 2, 314 Brettel, 2016, The relevance of manufacturing flexibility in the context of Industrie 4.0, Procedia CIRP, 41, 105, 10.1016/j.procir.2015.12.047 Brougham, 2018, Smart technology, artificial intelligence, robotics, and algorithms (STARA): employees’ perceptions of our future workplace, J. Manag. Organ., 24, 239, 10.1017/jmo.2016.55 Buer, 2018, The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda, Int. J. Prod. Res., 56, 2924, 10.1080/00207543.2018.1442945 Cai, 2019, Promoting sustainability of manufacturing industry through the lean energy-saving and emission-reduction strategy, Sci. Total Environ., 665, 23, 10.1016/j.scitotenv.2019.02.069 Caradonna, 2014 Cezarino, 2019, Diving into emerging economies bottleneck: industry 4.0 and implications for circular economy, Manag. Decis., 10.1108/MD-10-2018-1084 Chen, 2017, Smart factory of industry 4.0: key technologies, application case, and challenges, IEEE Access, 6, 6505 Cherubini, 2016, Collaborative manufacturing with physical human–robot interaction, Robot. Comput. Integr. Manuf., 40, 1, 10.1016/j.rcim.2015.12.007 Choi, 2011, Environmental and economic dimensions of sustainability and price effects on consumer responses, J. Bus. Ethics, 104, 269, 10.1007/s10551-011-0908-8 Cusumano, 2015, Services, industry evolution, and the competitive strategies of product firms, Strateg. Manag. J., 36, 559, 10.1002/smj.2235 Dalenogare, 2018, The expected contribution of Industry 4.0 technologies for industrial performance, Int. J. Prod. Econ., 204, 383, 10.1016/j.ijpe.2018.08.019 Davis, 2012, Smart manufacturing, manufacturing intelligence and demand-dynamic performance, Comput. Chem. Eng., 47, 145, 10.1016/j.compchemeng.2012.06.037 De Zubielqui, 2019, Social media, open innovation & HRM: implications for performance, Technol. Forecast. Soc. Chang., 144, 334, 10.1016/j.techfore.2017.07.014 Dempsey, 2011, The social dimension of sustainable development: defining urban social sustainability, Sustain. Dev., 19, 289, 10.1002/sd.417 Dev, 2016, Using interpretive structure modeling to analyze the interactions between environmental sustainability boundary enablers, Benchmarking Int. J., 23, 601, 10.1108/BIJ-05-2013-0063 Dolgui, 2019, Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications, Int. J. Prod. Res., 57, 411, 10.1080/00207543.2018.1442948 EPA, 2019 Evans, 2017, Business model innovation for sustainability: towards a unified perspective for creation of sustainable business models, Bus. Strateg. Environ., 26, 597, 10.1002/bse.1939 Faheem, 2018, Smart grid communication and information technologies in the perspective of Industry 4.0: opportunities and challenges, Comput. Sci. Rev., 30, 1, 10.1016/j.cosrev.2018.08.001 Fathi, 2019, An interpretive structural modeling of teamwork training in higher education, Educ. Sci., 9, 1, 10.3390/educsci9010016 Fatorachian, 2018, A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework, Prod. Plan. Control, 29, 633, 10.1080/09537287.2018.1424960 Fettermann, 2018, How does Industry 4.0 contribute to operations management?, J. Ind. Prod. Eng., 35, 255 Ford, 2016, Additive manufacturing and sustainability: an exploratory study of the advantages and challenges, J. Clean. Prod., 137, 1573, 10.1016/j.jclepro.2016.04.150 Frey, 2017, The future of employment: how susceptible are jobs to computerisation?, Technol. Forecast. Soc. Chang., 114, 254, 10.1016/j.techfore.2016.08.019 Gast, 2017, Doing business in a green way: a systematic review of the ecological sustainability entrepreneurship literature and future research directions, J. Clean. Prod., 147, 44, 10.1016/j.jclepro.2017.01.065 Gavish, 2015, Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks, Interact. Learn. Environ., 23, 778, 10.1080/10494820.2013.815221 Gbededo, 2018, Towards a life cycle sustainability analysis: a systematic review of approaches to sustainable manufacturing, J. Clean. Prod., 184, 1002, 10.1016/j.jclepro.2018.02.310 Ghobakhloo, 2018, The future of manufacturing industry: a strategic roadmap toward Industry 4.0, J. Manuf. Technol. Manag., 29, 910, 10.1108/JMTM-02-2018-0057 Ghobakhloo, 2019, Determinants of information and digital technology implementation for smart manufacturing, Int. J. Prod. Res., 1, 10.1080/00207543.2019.1630775 Ghobakhloo, 2018, Business excellence via advanced manufacturing technology and lean-agile manufacturing, J. Manuf. Technol. Manag., 29, 2, 10.1108/JMTM-03-2017-0049 Ghobakhloo, 2018, Modeling lean manufacturing success, J. Model. Manag., 13, 908, 10.1108/JM2-03-2017-0025 Ghobakhloo, 2018, Lean-green manufacturing: the enabling role of information technology resource, Kybernetes, 47, 1752, 10.1108/K-09-2017-0343 Ghobakhloo, 2019, Corporate survival in Industry 4.0 era: the enabling role of lean-digitized manufacturing, J. Manuf. Technol. Manag., 10.1108/JMTM-11-2018-0417 Ghobakhloo, 2019, Adoption of digital technologies of smart manufacturing in SMEs, J. Ind. Inf. Integrat. Gilchrist, 2016 Glavič, 2007, Review of sustainability terms and their definitions, J. Clean. Prod., 15, 1875, 10.1016/j.jclepro.2006.12.006 Govindan, 2015, Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach, Int. J. Environ. Sci. Technol., 12, 15, 10.1007/s13762-013-0409-7 Gu, 2018, Manufacturing system architecture for cost-effective mass-individualization, Manuf. Lett., 16, 44, 10.1016/j.mfglet.2018.04.002 Gupta, 2019, Modularity enablers: a tool for Industry 4.0, Life Cycle Reliab. Saf. Eng., 8, 157, 10.1007/s41872-018-0067-3 Hahn, 2019, Industry 4.0: a supply chain innovation perspective, Int. J. Prod. Res., 1 Harris, 2018 Harvey, 2012, Nominal group technique: an effective method for obtaining group consensus, Int. J. Nurs. Pract., 18, 188, 10.1111/j.1440-172X.2012.02017.x Hofmann, 2017, Industry 4.0 and the current status as well as future prospects on logistics, Comput. Ind., 89, 23, 10.1016/j.compind.2017.04.002 Hongyu, 2019, Towards factories of the future: migration of industrial legacy automation systems in the cloud computing and Internet-of-things context, Enterp Inf. Syst., 1 Huang, 2017, Planning community energy system in the industry 4.0 era: achievements, challenges and a potential solution, Renew. Sustain. Energy Rev., 78, 710, 10.1016/j.rser.2017.04.004 Ivanov, 2019, The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics, Int. J. Prod. Res., 57, 829, 10.1080/00207543.2018.1488086 Jabbour, 2018, Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations, Ann. Oper. Res., 270, 273 Jabbour, 2018, When titans meet–Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors, Technol. Forecast. Soc. Chang., 132, 18, 10.1016/j.techfore.2018.01.017 Jiang, 2016, Towards a cyber-physical-social-connected and service-oriented manufacturing paradigm: social Manufacturing, Manuf. Lett., 7, 15, 10.1016/j.mfglet.2015.12.002 Jin, 2017, Impact of advanced manufacturing on sustainability: an overview of the special volume on advanced manufacturing for sustainability and low fossil carbon emissions, J. Clean. Prod., 161, 69, 10.1016/j.jclepro.2017.05.101 Jose, 2018, Materials 4.0: materials big data enabled materials discovery, Appl. Mater. Today, 10, 127, 10.1016/j.apmt.2017.12.015 Junior, 2018, Making the links among environmental protection, process safety, and industry 4.0, Process Saf. Environ. Prot., 117, 372 Kache, 2017, Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management, Int. J. Oper. Prod. Manag., 37, 10, 10.1108/IJOPM-02-2015-0078 Kamble, 2019, Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies, Int. J. Prod. Res., 1 Kamble, 2018, Sustainable Industry 4.0 framework: a systematic literature review identifying the current trends and future perspectives, Process Saf. Environ. Prot., 117, 408, 10.1016/j.psep.2018.05.009 Kang, 2016, Smart manufacturing: past research, present findings, and future directions, Int. J. Precis. Eng. Manuf. Green Technol., 3, 111, 10.1007/s40684-016-0015-5 Karatop, 2015, Talent management in manufacturing system using fuzzy logic approach, Comput. Ind. Eng., 86, 127, 10.1016/j.cie.2014.09.015 Kaswan, 2019, Analysis and modeling the enablers of green lean Six Sigma implementation using interpretive structural modeling, J. Clean. Prod., 231, 1182, 10.1016/j.jclepro.2019.05.253 Khuntia, 2018, Information technology and sustainability: evidence from an emerging economy, Prod. Oper. Manag., 27, 756, 10.1111/poms.12822 Kiel, 2017, Sustainable industrial value creation: benefits and challenges of industry 4.0, Int. J. Innov. Manag., 21, 1, 10.1142/S1363919617400151 Kim, 2019, A modular factory testbed for the rapid reconfiguration of manufacturing systems, J. Intell. Manuf., 1 Kubota, 2017, Theoretical analysis of the relationships between modularity in design and modularity in production, Int. J. Adv. Manuf. Technol., 89, 1943, 10.1007/s00170-016-9238-4 Kumar, 2018, Methods and materials for smart manufacturing: additive manufacturing, internet of things, flexible sensors and soft robotics, Manuf. Lett., 15, 122 Kusiak, 2018, Smart manufacturing, Int. J. Prod. Res., 56, 508, 10.1080/00207543.2017.1351644 Kusiak, 2019, Fundamentals of smart manufacturing: a multi-thread perspective, Annu. Rev. Contr., 10.1016/j.arcontrol.2019.02.001 Lasi, 2014, Industry 4.0, Bus. Inf. Syst. Eng., 6, 239, 10.1007/s12599-014-0334-4 Lee, 2015, A cyber-physical systems architecture for industry 4.0-based manufacturing systems, Manuf. Lett., 3, 18, 10.1016/j.mfglet.2014.12.001 Leng, 2019, Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop, J. Ambient Intell. Humanized Comput., 10, 1155, 10.1007/s12652-018-0881-5 Li, 2018, China’s manufacturing locus in 2025: with a comparison of “Made-in-China 2025” and “Industry 4.0”, Technol. Forecast. Soc. Chang., 135, 66, 10.1016/j.techfore.2017.05.028 Li, 2017, Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: industry 4.0 scenario, Adv. Manuf., 5, 377, 10.1007/s40436-017-0203-8 Liao, 2017, Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal, Int. J. Prod. Res., 55, 3609, 10.1080/00207543.2017.1308576 Lim, 2017, Knowledge management in sustainable supply chain management: improving performance through an interpretive structural modelling approach, J. Clean. Prod., 162, 806, 10.1016/j.jclepro.2017.06.056 Lin, 2018, Strategic response to Industry 4.0: an empirical investigation on the Chinese automotive industry, Ind. Manag. Data Syst., 118, 589, 10.1108/IMDS-09-2017-0403 Lin, 2017, A cross-strait comparison of innovation policy under industry 4.0 and sustainability development transition, Sustainability, 9, 1, 10.3390/su9050786 Liu, 2018, Urbanization and industrialization impact of CO2 emissions in China, J. Clean. Prod., 172, 178, 10.1016/j.jclepro.2017.10.156 Longo, 2017, Smart operators in industry 4.0: a human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context, Comput. Ind. Eng., 113, 144, 10.1016/j.cie.2017.09.016 Lu, 2018, Smart manufacturing technology, market maturity analysis and technology roadmap in the computer and electronic product manufacturing industry, Technol. Forecast. Soc. Chang., 133, 85, 10.1016/j.techfore.2018.03.005 Lu, 2017, Industry 4.0: a survey on technologies, applications and open research issues, J. Ind. Inf. Integrat., 6, 1 Marion, 2015, The influence of digital design and IT on modular product architecture, J. Prod. Innov. Manag., 32, 98, 10.1111/jpim.12240 Martín-Gutiérrez, 2015, Augmented reality to promote collaborative and autonomous learning in higher education, Comput. Hum. Behav., 51, 752, 10.1016/j.chb.2014.11.093 Maurice, 2017, Human-oriented design of collaborative robots, Int. J. Ind. Ergon., 57, 88, 10.1016/j.ergon.2016.11.011 Moeuf, 2018, The industrial management of SMEs in the era of Industry 4.0, Int. J. Prod. Res., 56, 1118, 10.1080/00207543.2017.1372647 Mohamed, 2019, Leveraging the capabilities of industry 4.0 for improving energy efficiency in smart factories, IEEE Access, 7, 18008, 10.1109/ACCESS.2019.2897045 Morioka, 2016, A systematic literature review towards a conceptual framework for integrating sustainability performance into business, J. Clean. Prod., 136, 134, 10.1016/j.jclepro.2016.01.104 Mosterman, 2016, Industry 4.0 as a cyber-physical system study, Softw. Syst. Model., 15, 17, 10.1007/s10270-015-0493-x Müller, 2019, Digitization in wood supply–A review on how Industry 4.0 will change the forest value chain, Comput. Electron. Agric., 162, 206, 10.1016/j.compag.2019.04.002 Müller, 2018, Fortune favors the prepared: how SMEs approach business model innovations in Industry 4.0, Technol. Forecast. Soc. Chang., 132, 2, 10.1016/j.techfore.2017.12.019 Müller, 2018, What drives the implementation of industry 4.0? The role of opportunities and challenges in the context of sustainability, Sustainability, 10, 1, 10.3390/su10010247 Müller, 2018, Sustainable industrial value creation in SMEs: a comparison between industry 4.0 and made in China 2025, Int. J. Precis. Eng. Manuf. Green Technol., 5, 659, 10.1007/s40684-018-0056-z Nascimento, 2019, Exploring Industry 4.0 technologies to enable circular economy practices in a manufacturing context: a business model proposal, J. Manuf. Technol. Manag., 30, 607, 10.1108/JMTM-03-2018-0071 Niaki, 2019, Why manufacturers adopt additive manufacturing technologies: the role of sustainability, J. Clean. Prod., 222, 381, 10.1016/j.jclepro.2019.03.019 Norman, 2017, A new chapter in pharmaceutical manufacturing: 3D-printed drug products, Adv. Drug Deliv. Rev., 108, 39, 10.1016/j.addr.2016.03.001 Oesterreich, 2016, Understanding the implications of digitisation and automation in the context of Industry 4.0: a triangulation approach and elements of a research agenda for the construction industry, Comput. Ind., 83, 121, 10.1016/j.compind.2016.09.006 Panahifar, 2014, ISM analysis of CPFR implementation barriers, Int. J. Prod. Res., 52, 5255, 10.1080/00207543.2014.886789 Piran, 2017, Product modularity and its effects on the production process: an analysis in a bus manufacturer, Int. J. Adv. Manuf. Technol., 88, 2331, 10.1007/s00170-016-8906-8 Posada, 2015, Visual computing as a key enabling technology for industrie 4.0 and industrial internet, IEEE Comput. Graph. Appl., 35, 26, 10.1109/MCG.2015.45 Qi, 2018, Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison, IEEE Access, 6, 3585, 10.1109/ACCESS.2018.2793265 Qu, 2019, Smart manufacturing systems: state of the art and future trends, Int. J. Adv. Manuf. Technol., 1 Raut, 2018, Sustainable logistics barriers of fruits and vegetables: an interpretive structural modeling approach, Benchmarking Int. J., 25, 2589, 10.1108/BIJ-07-2017-0166 Reis, 2017, Industrial process monitoring in the big data/industry 4.0 era: from detection, to diagnosis, to prognosis, Processes, 5, 1 Roblek, 2016, A complex view of industry 4.0, Sage Open, 6, 1, 10.1177/2158244016653987 Schou, 2018, Skill-based instruction of collaborative robots in industrial settings, Robot. Comput. Integr. Manuf., 53, 72, 10.1016/j.rcim.2018.03.008 Schroeder, 2019, Capturing the benefits of industry 4.0: a business network perspective, Prod. Plan. Control, 1 Shoval, 2019, Managing complexity of assembly with modularity: a cost and benefit analysis, Int. J. Adv. Manuf. Technol., 10.1007/s00170-019-03802-2 Sikorski, 2017, Blockchain technology in the chemical industry: machine-to-machine electricity market, Appl. Energy, 195, 234, 10.1016/j.apenergy.2017.03.039 Silva, 2017, People-centric internet of things, IEEE Commun. Mag., 55, 18, 10.1109/MCOM.2017.7841465 Singh, 2019, Evaluation of supply chain coordination index in context to Industry 4.0 environment, Benchmarking Int. J., 10.1108/BIJ-07-2018-0204 Sisinni, 2018, Industrial internet of things: challenges, opportunities, and directions, IEEE Trans. Ind. Inf., 14, 4724, 10.1109/TII.2018.2852491 Sivathanu, 2018, Smart HR 4.0–how industry 4.0 is disrupting HR, Hum. Resour. Manag. Int. Dig., 26, 7, 10.1108/HRMID-04-2018-0059 Sony, 2019, Key ingredients for evaluating Industry 4.0 readiness for organizations: a literature review, Benchmarking Int. J., 10.1108/BIJ-09-2018-0284 Stahel, 2016, The circular economy, Nature News, 531, 435, 10.1038/531435a Stone, 2018, Human resource management in the digital age: big data, HR analytics and artificial intelligence, 13 Strandhagen, 2017, The fit of Industry 4.0 applications in manufacturing logistics: a multiple case study, Adv. Manuf., 5, 344, 10.1007/s40436-017-0200-y Strange, 2017, Industry 4.0, global value chains and international business, Multinatl. Bus. Rev., 25, 174, 10.1108/MBR-05-2017-0028 Sung, 2018, Industry 4.0: a Korea perspective, Technol. Forecast. Soc. Chang., 132, 40, 10.1016/j.techfore.2017.11.005 Szalavetz, 2019, Industry 4.0 and capability development in manufacturing subsidiaries, Technol. Forecast. Soc. Chang., 145, 384, 10.1016/j.techfore.2018.06.027 Tranfield, 2003, Towards a methodology for developing evidence-informed management knowledge by means of systematic review, Br. J. Manag., 14, 207, 10.1111/1467-8551.00375 Tang, 2013, IT investments and product development effectiveness: Iranian SBs, Ind. Manag. Data Syst., 113, 265, 10.1108/02635571311303578 Tao, 2018, Digital twin-driven product design, manufacturing and service with big data, Int. J. Adv. Manuf. Technol., 94, 3563, 10.1007/s00170-017-0233-1 Tao, 2018, Data-driven smart manufacturing, J. Manuf. Syst., 48, 157, 10.1016/j.jmsy.2018.01.006 Telukdarie, 2018, Industry 4.0 implementation for multinationals, Process Saf. Environ. Prot., 118, 316, 10.1016/j.psep.2018.06.030 Theorin, 2017, An event-driven manufacturing information system architecture for Industry 4.0, Int. J. Prod. Res., 55, 1297, 10.1080/00207543.2016.1201604 Thirupathi, 2016, Application of interpretive structural modelling and structural equation modelling for analysis of sustainable manufacturing factors in Indian automotive component sector, Int. J. Prod. Res., 54, 6661, 10.1080/00207543.2015.1126372 Torn, 2019, Mass Personalization with Industry 4.0 by SMEs: a concept for collaborative networks, Procedia Manuf., 28, 135, 10.1016/j.promfg.2018.12.022 Tortorella, 2018, Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies, Int. J. Prod. Res., 56, 2975, 10.1080/00207543.2017.1391420 Tseng, 2018, Circular economy meets industry 4.0: can big data drive industrial symbiosis?, Resour. Conserv. Recycl., 131, 146, 10.1016/j.resconrec.2017.12.028 Tseng, 2018, Assessing sustainable tourism in Vietnam: a hierarchical structure approach, J. Clean. Prod., 195, 406, 10.1016/j.jclepro.2018.05.198 Ülkü, 2017, Towards sustainable consumption and production: competitive pricing of modular products for green consumers, J. Clean. Prod., 142, 4230, 10.1016/j.jclepro.2016.11.050 Upadhyay, 2018, Applying artificial intelligence: implications for recruitment, Strateg. HR Rev., 17, 255, 10.1108/SHR-07-2018-0051 Venugopal, 2019, Manufacturing system sustainability through lean and agile initiatives, Int. J. Sustain. Eng., 1 Vogel-Heuser, 2016, Guest editorial Industry 4.0–prerequisites and visions, IEEE Trans. Autom. Sci. Eng., 13, 411, 10.1109/TASE.2016.2523639 Wan, 2016, Software-defined industrial internet of things in the context of industry 4.0, IEEE Sens. J., 16, 7373 Wang, 2018, Applying fuzzy interpretive structural modeling to evaluate responsible consumption and production under uncertainty, Ind. Manag. Data Syst., 118, 432, 10.1108/IMDS-03-2017-0109 Wang, 2016, Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination, Comput. Network., 101, 158, 10.1016/j.comnet.2015.12.017 Wang, 2017, Industry 4.0: a way from mass customization to mass personalization production, Adv. Manuf., 5, 311, 10.1007/s40436-017-0204-7 Warfield, 1982, Interpretive structural modeling, 155 Wollschlaeger, 2017, The future of industrial communication: automation networks in the era of the internet of things and industry 4.0, IEEE Ind. Electron. Mag., 11, 17, 10.1109/MIE.2017.2649104 Wu, 2018, Developing a hierarchical structure of the co-benefits of the triple bottom line under uncertainty, J. Clean. Prod., 195, 908, 10.1016/j.jclepro.2018.05.264 Xu, 2018, Industry 4.0: state of the art and future trends, Int. J. Prod. Res., 56, 2941, 10.1080/00207543.2018.1444806 Yang, 2017, Towards product customization and personalization in IoT-enabled cloud manufacturing, Clust. Comput., 20, 1717, 10.1007/s10586-017-0767-x Yin, 2018, The evolution of production systems from Industry 2.0 through Industry 4.0, Int. J. Prod. Res., 56, 848, 10.1080/00207543.2017.1403664 Zhang, 2019, Review of job shop scheduling research and its new perspectives under Industry 4.0, J. Intell. Manuf., 30, 1809, 10.1007/s10845-017-1350-2 Zheng, 2018, Smart manufacturing systems for Industry 4.0: conceptual framework, scenarios, and future perspectives, Front. Mech. Eng., 13, 137, 10.1007/s11465-018-0499-5 Zhou, 2018, Automation and inequality in China, China Econ. Rev.