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Review Article

Collaborative manufacturing and management contextualization in the Industry 4.0 based on a systematic literature review

ORCID Icon, ORCID Icon & ORCID Icon
Pages 78-95 | Received 09 Jul 2022, Accepted 25 Jan 2023, Published online: 22 Feb 2023

References

  • Alavi, M., Wheeler, B. C., & Valacich, J. S. (1995). Using IT to reengineer business education: An exploratory investigation of collaborative telelearning. MIS Quarterly, 19(3), 293–312.
  • Allaham, H., & Dalalah, D. (2022). Optimization of maintenance tasks of spatially distributed assets with non-preemptive overtime. International Journal of Management Science and Engineering Management, 17(4), 279–294.
  • Andrés Navarro, B., Sanchis Gisbert, R., Lamothe, J., Saari, L., & Hauser, F. (2017). Integrated production-distribution planning optimization models: A review in collaborative networks context. International Journal of Production Management and Engineering, 5(1), 31–38.
  • Andres, B., Poler, R., & Sanchis, R. (2021). A data model for collaborative manufacturing environments. Computers in Industry, 126, 103398. Elsevier.
  • Arici, H. E., Arici, N. C., Köseoglu, M. A., & King, B. E. M. (2021). Leadership research in the root of hospitality scholarship: 1960–2020. International Journal of Hospitality Management, 99, 103063.
  • Arrais-Castro, A., Varela, M. L. R., Putnik, G. D., Ribeiro, R. A., Machado, J., & Ferreira, L. (2018). Collaborative framework for virtual organisation synthesis based on a dynamic multi-criteria decision model. International Journal of Computer Integrated Manufacturing, 1–12. Taylor & Francis. doi:10.1080/0951192X.2018.1447146
  • Aviv, Y. (2001). The effect of collaborative forecasting on supply chain performance. Management Science, 47(10), 1326–1343.
  • Bag, S., Sahu, A. K., Kilbourn, P., Pisa, N., Dhamija, P., & Sahu, A. K. (2021). Modeling barriers of digital manufacturing in a circular economy for enhancing sustainability. International Journal of Productivity and Performance Management 71(3), 833–869. Emerald Publishing Limited.
  • Barnes, T. A., Pashby, I. R., & Gibbons, A. M. (2006). Managing collaborative R&D projects development of a practical management tool. International Journal of Project Management, 24(5), 395–404.
  • Belkadi, F., Boli, N., Usatorre, L., Maleki, E., Alexopoulos, K., Bernard, A., & Mourtzis, D. (2020). A knowledge-based collaborative platform for PSS design and production. CIRP Journal of Manufacturing Science and Technology, 29, 220–231.
  • Bettoni, A., Montini, E., Righi, M., Villani, V., Tsvetanov, R., Borgia, S., … Carpanzano, E. (2020). Mutualistic and adaptive human-machine collaboration based on machine learning in an injection moulding manufacturing line. Procedia CIRP, 93, 395–400.
  • Bhattacharya, A., Mohapatra, P., Kumar, V., Dey, P. K., Brady, M., Tiwari, M. K., & Nudurupati, S. S. (2014). Green supply chain performance measurement using fuzzy ANP-based balanced scorecard: A collaborative decision-making approach. Production Planning & Control, 25(8), 698–714.
  • Bilbao, N., Del Pozo, D., Lopez, J. M., & Etxaniz, I. (2004, June). The collaborative manufacturing approach. In 2nd IEEE International Conference on Industrial Informatics, 2004, Berlin, Germany, 2004 June 24–26, (pp. 23–26). IEEE.
  • Bititci, U. S., Martinez, V., Albores, P., & Mendibil, K. (2003). Creating and sustaining competitive advantage in collaborative systems: The what and the how. Production Planning & Control, 14(5), 410–425.
  • Blackburn, G. S., Bilodeau, P., Cooke, T., Cui, M., Cusson, M., Hamelin, R. C., … Porth, I. (2020). An applied empirical framework for invasion science: Confronting biological invasion through collaborative research aimed at tool production. Annals of the Entomological Society of America, 113(4), 230–245.
  • Brodeur, J., Pellerin, R., & Deschamps, I. (2021). Collaborative approach to digital transformation (CADT) model for manufacturing SMEs. Journal of Manufacturing Technology Management, 33(1), 61–83.
  • Brown, S. (2016). Towards best practices in collaborative online knowledge production. In Doing Digital Humanities (pp. 83–100). Routledge.
  • Camarinha-Matos, L. M. (2009). Collaborative networked organizations: Status and trends in manufacturing. Annual Reviews in Control, 33(2), 199–208.
  • Camarinha-Matos, L. M., Afsarmanesh, H., Galeano, N., & Molina, A. (2009). Collaborative networked organizations–Concepts and practice in manufacturing enterprises. Computers & Industrial Engineering, 57(1), 46–60.
  • Carvalho, M. S., Magalhaes, D. S., Varela, M. L. R., Sa, J. O., & Gonçalves, I. (2016). Definition of a collaborative working model to the logistics area using design for Six Sigma. International Journal of Quality and Reliability Management, 43(4), 465–475. Emerald Group Publishing, Ltd.
  • Chen, X., & Zhou, J. (2021). The complexity analysis and chaos control in omni-channel supply chain with consumer migration and advertising cost sharing. Chaos, Solitons & Fractals, 146, 110884.
  • Cherubini, A., Passama, R., Crosnier, A., Lasnier, A., & Fraisse, P. (2016). Collaborative manufacturing with physical human–robot interaction. Robotics and Computer-Integrated Manufacturing, 40, 1–13.
  • Chiou, C. H. (2011). Dynamic capabilities, collaborative network and business model: An empirical analysis of Taiwan HTC Corporation. African Journal of Business Management, 5(2), 294–305.
  • Chituc, C. M., Toscano, C., & Azevedo, A. (2007, February). Towards the creation of a digital business ecosystem for the shoe manufacturing domain. In 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, Cairns, QLD, Australia, (pp. 88–93). IEEE.
  • Chu, W., Li, Y., Liu, C., Mou, W., & Tang, L. (2016). Collaborative manufacturing of aircraft structural parts based on machining features and software agents. The International Journal of Advanced Manufacturing Technology, 87(5), 1421–1434.
  • Davis, J., Edgar, T., Porter, J., Bernaden, J., & Sarli, M. (2012). Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Computers & Chemical Engineering, 47, 145–156.
  • Deek, F., Tommarello, J. D., & Mchugh, J. (2003). A model for collaborative technologies in manufacturing. International Journal of Computer Integrated Manufacturing, 16(4–5), 357–371.
  • Deloitte. (2014a). Industry 4.0 - Challenges and solutions for the digital transformation and use of exponential technologies.
  • Eck, N. J. V., & Waltman, L. (2007). VOS: A new method for visualizing similarities between objects. In Proceedings of the 30 th Annual Conference of the Gesellschaft für Klassifikation eV, Freie Universität Berlin, 2006 March 8–10, (pp. 299–306). Berlin, Heidelberg: Springer. doi:10.1007/978-3-540-70981-7_34
  • Eijnatten, F. V., & Putnik, G. D. (2004). Chaos, complexity, learning, and the learning organization. Towards a Chaordic Enterprise. The Learning Organisation, 11(6), 418–429.
  • ElMaraghy, W., ElMaraghy, H., Tomiyama, T., & Monostori, L. (2012). Complexity in engineering design and manufacturing. CIRP Annals, 61(2), 793–814.
  • Fahle, S., Prinz, C., & Kuhlenkötter, B. (2020). Systematic review on machine learning (ML) methods for manufacturing processes–Identifying artificial intelligence (AI) methods for field application. Procedia CIRP, 93, 413–418.
  • Fdhila, W., Rinderle-Ma, S., Knuplesch, D., & Reichert, M. (2015, June). Change and compliance in collaborative processes. In 2015 IEEE International Conference on Services Computing, New York, NY, USA, 2015 June 27­–July 2, (pp. 162–169). IEEE.
  • Feng, Y., & Huang, B. (2018). A hierarchical and configurable reputation evaluation model for cloud manufacturing services based on collaborative filtering. The International Journal of Advanced Manufacturing Technology, 94(9), 3327–3343.
  • Fernández-Giménez, M. E., Augustine, D. J., Porensky, L. M., Wilmer, H., Derner, J. D., Briske, D. D., & Stewart, M. O. (2019). Complexity fosters learning in collaborative adaptive management. Ecology and Society, 24(2), 2.
  • Ferreira, L., Punik, G., Varela, L., Manupati, V. K., Lopes, N., Cunha, M., and Castro, H. (2022). A framework for collaborative practices platforms for humans and machines in Industry 4.0 oriented smart and sustainable manufacturing environments. In V. K. Manupati, G. D. Putnik, & M. L. R. Varela (Eds.), Smart and sustainable manufacturing systems for Industry 4.0 (pp. 1–24). CRC Press .
  • Fonseca, L. (2022). The EFQM 2020 model. A theoretical and critical review. Total Quality Management & Business Excellence, 33(9–10), 1011–1038. Taylor & Francis.
  • Fonseca, L., Amaral, A., & Oliveira, J. (2021). Quality 4.0: The EFQM 2020 model and industry 4.0 relationships and implications. Sustainability, 13(6), MDPI, 3107.
  • Fröhlich, B., Fischer, M., Agrawala, M., Beers, A., & Hanrahan, P. (1997). Collaborative production modeling and planning. IEEE Computer Graphics and Applications, 17(4), 13–15.
  • Ghazal, T. M., Alzoubi, H. M., Ahmed, A., Abbas, S., A. Khan, M., M. Alzoubi, H., … Adnan Khan, M. (2022). Fusion-based supply chain collaboration using machine learning techniques. Intelligent Automation & Soft Computing, 31(3), 1671–1687.
  • Grilo, A., & Jardim-Goncalves, R. (2010). Value proposition on interoperability of BIM and collaborative working environments. Automation in Construction, 19(5), 522–530.
  • Hankel, M., & Rexroth, B. (2015). The reference architectural model industrie 4.0 (Rami 4.0). Zvei, 2(2), 4–9.
  • Heckscher, C. C., & Heckscher, C. (2007). The collaborative enterprise: Managing speed and complexity in knowledge-based businesses. New Haven, London: Yale University Press.
  • Hopkins, E., & Siekelova, A. (2021). Internet of things sensing networks, smart manufacturing big data, and digitized mass production in sustainable Industry 4.0. Economics, Management, and Financial Markets, 16(4), 28–41.
  • Huang, C. Y. (2002). Distributed manufacturing execution systems: A workflow perspective. Journal of Intelligent Manufacturing, 13(6), 485–497.
  • Ibarra, D., Ganzarain, J., & Igartua, J. I. (2018). Business model innovation through Industry 4.0: A review. Procedia Manufacturing, 22, 4–10.
  • Jiang, P., & Zhang, Y. (2002). Visualized part manufacturing via an online e-service platform on web. Concurrent Engineering, 10(4), 267–277.
  • Kagermann, H., Helbig, J., Hellinger, A., & Wahlster, W. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 working group. Forschungsunion.
  • Kang, D., Prabhu, M., Ahmed, R. R., Zhang, Z., & Sahu, A. K. (2021). Digital-IIoTs spheres approach toward public development: An exploiting fuzzy-grey mathematical modeling of IIoTs spheres. Grey Systems: Theory and Application, 12(2), 389–416. Emerald.
  • Karp, A., & Pardo, B. (2017, August). HaptEQ: A collaborative tool for visually impaired audio producers. In Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, London, United Kingdom, (pp. 1–4).
  • Khan, S. A., Hassan, S. M., Kusi-Sarpong, S., Mubarik, M. S., & Fatima, S. (2022). Designing an integrated decision support system to link supply chain processes performance with time to market. International Journal of Management Science and Engineering Management, 17(1), 66–78.
  • Kim, H. W., Kim, B. H., Baek, J. Y., Jung, S. Y., & Choi, H. Z. (2010). Execution technology for collaborative business process among manufacturing enterprises. Korean Journal of Computational Design and Engineering, 15(3), 204–211.
  • Kovacova, M., & Lăzăroiu, G. (2021). Sustainable organizational performance, cyber-physical production networks, and deep learning-assisted smart process planning in Industry 4.0-based manufacturing systems. Economics, Management, and Financial Markets, 16(3), 41–54.
  • Lau, A., Fischer, T., Hirsch, M., & Matheis, H. (2012, June). SmartNet collaboration model-a framework for collaborative development and production. In 2012 18th International ICE Conference on Engineering, Technology and Innovation, Munich, Germany, (pp. 1–10). IEEE.
  • Lee, J., Azamfar, M., Singh, J., & Siahpour, S. (2020). Integration of digital twin and deep learning in cyber‐physical systems: Towards smart manufacturing. IET Collaborative Intelligent Manufacturing, 2(1), 34–36.
  • Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18–23.
  • Leitão, P., Colombo, A. W., & Restivo, F. J. (2005). ADACOR: A collaborative production automation and control architecture. IEEE Intelligent Systems, 20(1), 58–66.
  • Liang, X., Yang, Y., Deng, G., Zhang, R., & Li, H. (2011). Distributed manufacturing model based on customer collaborative innovation. Advanced Science Letters, 4(6–7), 2213–2217.
  • Liao, W., & Wang, T. (2019). A novel collaborative optimization model for job shop production–delivery considering time window and carbon emission. Sustainability, 11(10), 2781.
  • Lima, F., De Carvalho, C. N., Acardi, M. B., Dos Santos, E. G., De Miranda, G. B., Maia, R. F., & Massote, A. A. (2019). Digital manufacturing tools in the simulation of collaborative robots: Towards Industry 4.0. Brazilian Journal of Operations & Production Management, 16(2), 261–280.
  • Lindorfer, R., Froschauer, R., & Schwarz, G. (2018, July). ADAPT-a decision-model-based approach for modeling collaborative assembly and manufacturing tasks. In 2018 IEEE 16th International Conference on Industrial Informatics (INDIN), United States, (pp. 559–564). IEEE.
  • Lin, S. W., Miller, B., Durand, J., Joshi, R., Didier, P., Chigani, A., and Witten, B. (2015). Industrial internet reference architecture. In Industrial Internet Consortium. Netherlands: Elsevier.
  • Liu, Z., Liu, Q., Xu, W., Liu, Z., Zhou, Z., & Chen, J. (2019a). Deep learning-based human motion prediction considering context awareness for human-robot collaboration in manufacturing. Procedia CIRP, 83, 272–278.
  • Li, T., Yan, D., & Ma, X. (2019). Stability analysis and chaos control of recycling price game model for manufacturers and retailers. Complexity. Egypt: Hindawi.
  • Li, J. Q., Yu, F. R., Deng, G., Luo, C., Ming, Z., & Yan, Q. (2017). Industrial internet: A survey on the enabling technologies, applications, and challenges. IEEE Communications Surveys & Tutorials, 19(3), 1504–1526.
  • Lu, Y., & Cecil, J. (2016). An Internet of Things (IoT)-based collaborative framework for advanced manufacturing. The International Journal of Advanced Manufacturing Technology, 84(5), 1141–1152.
  • Lu, C. J., Yang, C. T., & Yen, H. F. (2020). Stackelberg game approach for sustainable production-inventory model with collaborative investment in technology for reducing carbon emissions. Journal of Cleaner Production, 270, 121963.
  • Majchrzak, A., Rice, R. E., King, N., Malhotra, A., & Ba, S. (2000). Computer-mediated inter-organizational knowledge-sharing: Insights from a virtual team innovating using a collaborative tool. Information Resources Management Journal (IRMJ), 13(1), 44–53.
  • Manupati, V. K., Putnik, G. D., & Varela, M. L. R. (2022). Smart and sustainable manufacturing systems for Industry 4.0. CRC Press, Taylor & Francis Group: Boca Raton, FL, USA
  • Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Hung Byers, A. (2011). Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute. https://www.mckinsey.com/mgi/overview
  • Martina, R. A., & Oskam, I. F. (2021). Practical guidelines for designing recycling, collaborative, and scalable business models: A case study of reusing textile fibers into biocomposite products. Journal of Cleaner Production, 318, 128542.
  • Ma, X., Tao, F., Zhang, M., Wang, T., & Zuo, Y. (2019). Digital twin enhanced human machine interaction in product lifecycle. Procedia CIRP, 83, 789–793.
  • McClellan, M. (2002). Collaborative manufacturing: Using real-time information to support the supply chain. Boca Raton: CRC Press.
  • Ming, X. G., Yan, J. Q., Lu, W. F., & Ma, D. Z. (2005). Technology solutions for collaborative product lifecycle management–status review and future trend. Concurrent Engineering, 13(4), 311–319.
  • Mitchell, W., & Singh, K. (1996). Survival of businesses using collaborative relationships to commercialize complex goods. Strategic Management Journal, 17(3), 169–195.
  • Moreno-Guerrero, A. J., Jurado de Los Santos, P., Pertegal-Felices, M. L., & Soler Costa, R. (2020). Bibliometric study of scientific production on the term collaborative learning in web of science. Sustainability, 12(14), 5649.
  • Mowery, D. C. (1989). Collaborative ventures between US and foreign manufacturing firms. Research Policy, 18(1), 19–32.
  • Murthy, M. N., Sangwan, K. S., & Narahari, N. S. (2021). Tracing evolution of EFQM and its relationship with Industry 4.0. In Total quality management & business excellence (pp. 1–40). United Kingdom: Taylor & Francis. doi:10.1080/14783363.2021.1999802
  • Nakano, K., & Hirao, M. (2011). Collaborative activity with business partners for improvement of product environmental performance using LCA. Journal of Cleaner Production, 19(11), 1189–1197.
  • Nica, E., & Stehel, V. (2021). Internet of things sensing networks, artificial intelligence-based decision-making algorithms, and real-time process monitoring in sustainable industry 4.0. Journal of Self-Governance and Management Economics, 9(3), 35–47.
  • Nof, S. Y. (2006). Collaborative e-work and e-manufacturing: Challenges for production and logistics managers. Journal of Intelligent Manufacturing, 17(6), 689–701.
  • Novak, A., Bennett, D., & Kliestik, T. (2021). Product decision-making information systems, real-time sensor networks, and artificial intelligence-driven big data analytics in sustainable Industry 4.0. Economics, Management, and Financial Markets, 16(2), 62–72.
  • Peruzzini, M., Grandi, F., & Pellicciari, M. (2017). Benchmarking of tools for user experience analysis in industry 4.0. Procedia Manufacturing, 11, 806–813.
  • Putnik, G. D., & Putnik, Z. (2019). Defining sequential engineering (SeqE), simultaneous engineering (SE), concurrent engineering (CE) and collaborative engineering (ColE): On similarities and differences. Procedia CIRP, 84, 68–75.
  • Putnik, G. D., Putnik, Z., Shah, V., Varela, L., Ferreira, L., Castro, H., and Pinheiro, P. (2021a). Collaborative engineering: A review of organisational forms for implementation and operation. In IOP Conference Series: Materials Science and Engineering, Lisbon, Portugal, (Vol. 1174, No. 1, p. 012028). IOP Publishing.
  • Putnik, G. D., Putnik, Z., Shah, V., Varela, L., Ferreira, L., Castro, H., and Pinheiro, P. (2021b). Collaborative engineering definition: Distinguishing it from concurrent engineering through the complexity and semiotics lenses. In IOP Conference Series: Materials Science and Engineering, Lisbon, Portugal, (Vol. 1174, No. 1, p. 012027). IOP Publishing.
  • Quik, W. H., Wright, N. J., Rashid, A., & Herjanto, H. (2014). Collaborative network learning in manufacturing. International Journal of Advanced Corporate Learning, 7(4), 4.
  • Raike, A., Keune, A., Lindholm, B., & Muttilainen, J. (2013). Concept design for a collaborative digital learning tool for film post-production. Journal of Media Practice, 14(4), 307–329.
  • Ramstad, E. (2008). Collaborative knowledge production model in the field of organizational development. Educational Action Research, 16(2), 261–278.
  • Rauch, E., Seidenstricker, S., Dallasega, P., & Hämmerl, R. (2016). Collaborative cloud manufacturing: Design of business model innovations enabled by cyberphysical systems in distributed manufacturing systems. Journal of Engineering, (2016), 1–12.
  • Reddy, M. S., Ratnam, C., Agrawal, R., Varela, M. L. R., Sharma, I., & Manupati, V. K. (2017). Investigation of reconfiguration effect on makespan with social network method for flexible job shop scheduling problem. Computers & Industrial Engineering, Elsevier, UK, 110, 231–241. doi:10.1016/j.cie.2017.06.014
  • Riley, C., Vrbka, J., & Rowland, Z. (2021). Internet of things-enabled sustainability, big data-driven decision-making processes, and digitized mass production in Industry 4.0-based manufacturing systems. Journal of Self-Governance and Management Economics, 9(1), 42–52.
  • Rodič, B. (2017). Industry 4.0 and the new simulation modelling paradigm. Organizacija, 50(3), 3.
  • Sahu, A. K., Narang, H. K., Rajput, M. S., Sahu, N. K., & Sahu, A. K. (2018a). Performance modeling and benchmarking of green supply chain management: An integrated fuzzy approach. Benchmarking: An International Journal, 25(7), 2248–2271. Emerald Publishing Limited.
  • Sahu, N. K., Sahu, A. K., & Sahu, A. K. (2018b). Green supply chain management assessment under chains of uncertain indices: An intellectual approach. Journal of Modelling in Management, 13(4), 973–993. Emerald Publishing Limited.
  • Sahu, A. K., Sahu, A. K., & Sahu, N. K. (2020). A review on the research growth of industry 4.0: IIoT business architectures benchmarking. International Journal of Business Analytics (IJBAN), 7(1), 77–97. IGI Global.
  • Salas-Navarro, K., Acevedo-Chedid, J., Árquez, G. M., Florez, W. F., Ospina-Mateus, H., Sana, S. S., & Cárdenas-Barrón, L. E. (2019). An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach. Journal of Advances in Management Research, 17(2), 282–304.
  • Scarlett, L. (2013). Collaborative adaptive management: Challenges and opportunities. Ecology and Society, 18(3), 3.
  • Schuhmacher, J., Baumung, W., & Hummel, V. (2017). An intelligent bin system for decentrally controlled intralogistic systems in context of industrie 4.0. In 7th Conference on Learning Factories, CLF 2017, Procedia Manufacturing. 2017 9: 135-142 Language: English, Darmstadt, Germany. Netherlands: Elsevier. DOI:10.1016/j.promfg.2017.04.005
  • Seuring, S., & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production, 16(15), Elsevier, 1699–1710.
  • Shen, Y., Shen, K., & Yang, C. (2019). A production inventory model for deteriorating items with collaborative preservation technology investment under carbon tax. Sustainability, 11(18), 5027.
  • Shyamsundar, N., & Gadh, R. (2002). Collaborative virtual prototyping of product assemblies over the Internet. Computer-aided Design, 34(10), 755–768.
  • Simatupang, T. M., & Sridharan, R. (2002). The collaborative supply chain. The International Journal of Logistics Management, 13(1), 15–30.
  • Sluga, A., Butala, P., & Peklenik, J. (2005). A conceptual framework for collaborative design and operations of manufacturing work systems. CIRP Annals, 54(1), 437–440.
  • Soldatos, J., Gusmeroli, S., Malo, P., & Di Orio, G. (2016). Internet of things applications in future manufacturing. Digitising industry-internet of things connecting the physical. Digital and Virtual Worlds, 153–183.
  • Sousa, A. C., Bertachini, A. F., Cunha, C., Chaves, R., & Varela, M. L. R. (2021). Literature review and discussion on collaborative decision making approaches in Industry 4.0. FME Transactions, 49(4), 817–826.
  • Svendsen, A. (1998). The stakeholder strategy: Profiting from collaborative business relationships. San Francisco: Berrett-Koehler Publishers.
  • Torabzadeh, S. A., Nejati, E., Aghsami, A., & Rabbani, M. (2022). A dynamic multi-objective green supply chain network design for perishable products in uncertain environments, the coffee industry case study. International Journal of Management Science and Engineering Management, 17(3), 220–237. Taylor & Francis.
  • Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence‐informed management knowledge by means of systematic review. British Journal of Management, 14(3), Wiley, 207–222.
  • Ulaga, W. (2003). Capturing value creation in business relationships: A customer perspective. Industrial Marketing Management, 32(8), 677–693.
  • Vafaei, N., Ribeiro, R. A., Camarinha-Matos, L. M., & Valera, L. R. (2019). Normalization techniques for collaborative networks. Kybernetes, 49(4), Emerald Group Publishing Ltd, 1285–1304.
  • Valilai, O. F., & Houshmand, M. (2013). A collaborative and integrated platform to support distributed manufacturing system using a service-oriented approach based on cloud computing paradigm. Robotics and computer-integrated Manufacturing, 29(1), 110–127.
  • Varela, L., Ávila, P., Castro, H., Putnik, G. D., Fonseca, L. M. C., & Ferreira, L. (2022). Manufacturing and management paradigms, methods and tools for sustainable industry 4.0 - oriented manufacturing systems [ Editorial]. Sustainability 14(3):1574. MDPI. Retrieved August 28, 2022, from https://www.mdpi.com/2071-1050/14/3/1574
  • Varela, M. L., Madureira, A. M., Dantas, J. D., Santos, A. S., Putnik, G. D., Trojanowska, J., & Machado, J. (2018a). Collaborative paradigm for single-machine scheduling under just-in-time principles: Total holding-tardiness cost problem. In Management and production engineering review (pp. 9). Poland: Polish Academy of Sciences.
  • Varela, M. L. R., Putnik, G. D., Manupati, V. K., Rajyalakshmi, G., Trojanowska, J., & Machado, J. (2018b). Collaborative manufacturing based on cloud, and on other I4.0 oriented principles and technologies: A systematic literature review and reflections. Management and Production Engineering Review, 9(3), Polish Acad Sciences, 90–99.
  • Viglia, G., Kumar, S., Pandey, N., & Joshi, Y. (2022). Forty years of the service industries journal: A bibliometric review. The Service Industries Journal, 42(1–2), Taylor & Francis, 1–20.
  • Wang, L. (2008a). Wise-ShopFloor: An integrated approach for web-based collaborative manufacturing. IEEE Transactions on Systems. Man, and Cybernetics, Part C (Applications and Reviews), 38(4), 562–573.
  • Wang, L. (2019). From intelligence science to intelligent manufacturing. Engineering, 5(4), 615–618.
  • Wei, X., Lo, C. K., Jung, S., & Choi, T. M. (2021). From co-consumption to co-production: A systematic review and research synthesis of collaborative consumption practices. Journal of Business Research, 129, 282–294.
  • Wilkinson, K., Day, J., Thompson-Coon, J., Goodwin, V., Liabo, K., Coxon, G., … Lang, I. A. (2021). A realist evaluation of a collaborative model to support research co-production in long-term care settings in England: The ExCHANGE protocol. Research Involvement and Engagement, 7(1), 1–10.
  • Xu, L. D., Xu, E. L., & Li, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research, 56(8), 2941–2962.
  • Yang, W., Zhao, Q., Yan, X., & Chen, Z. (2021). A system framework of model quality analysis for product model in collaborative manufacturing. The International Journal of Advanced Manufacturing Technology, 117(5), 1351–1374.
  • Zaletelj, V., Sluga, A., & Butala, P. (2008). A conceptual framework for the collaborative modeling of networked manufacturing systems. Concurrent Engineering, 16(1), 103–114.
  • Zhang, X., & Ming, X. (2020). Reference subsystems for Smart Manufacturing Collaborative System (SMCS) from multi-processes, multi-intersections and multi-operators. Enterprise Information Systems, 14(3), 282–307.
  • Zhang, X., Ming, X., Bao, Y., Liao, X., & Miao, R. (2022). Networking-enabled product service system (N-PSS) in collaborative manufacturing platform for mass personalization model. Computers & Industrial Engineering, 163, 107805.
  • Zhou, L., Zhang, L., & Horn, B. K. (2020). Deep reinforcement learning-based dynamic scheduling in smart manufacturing. Procedia Cirp, 93, 383–388.
  • Zhu, J., & Sun, Y. (2020). Dynamic modeling and chaos control of sustainable integration of informatization and industrialization. Chaos, Solitons & Fractals, 135, 109745.
  • Zvarikova, K., Rowland, M., & Krulicky, T. (2021). Sustainable industry 4.0 wireless networks, smart factory performance, and cognitive automation in cyber-physical system-based manufacturing. Journal of Self-Governance and Management Economics, 9(4), 9–21.

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