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Autonomous VOs management based on industry 4.0: a systematic literature review

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Abstract

The virtual organization (VO) emerged intending to improve products and services in a globalized environment through collaborative work between organizations of different kinds. There is abundant literature around this topic for more than ten years. Today, with the mandatory trend of digital transformation, the aim is to redefine VO concepts and study them in the context of Industry 4.0. This paper will study the evolution of VO, from its beginnings (2010) to 2020, with a systematic literature review (SLR). This SLR will be quantified by a meta-analysis, which will allow an orderly view of the findings found. The objective is to find all the studies that have been carried out on VO frameworks based on Industry 4.0, collaborative works, and autonomous processes.

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References

  • Afsarmanesh, H., Camarinha-Matos, L. M., & Msanjila, S. S. (2011). Models, methodologies, and tools supporting establishment and management of second-generation vbes. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 41(5), 692–710.

    Article  Google Scholar 

  • Aguilar, J., Cerrada, M., Mousalli, G., Rivas, F., & Hidrobo, F. (2005). A multiagent model for intelligent distributed control systems. Lecture Notes in Computer Science, 3681, 191–197.

    Article  Google Scholar 

  • Aguilar, J., Cordero, J., & Buendía, O. (2018). Specification of the autonomic cycles of learning analytic tasks for a smart classroom. Journal of Educational Computing Research, 56(6), 866–891.

    Article  Google Scholar 

  • Aguilar, J., Jerez, M., & Rodríguez, T. (2018). Cameonto: Context awareness meta ontology modeling. Applied Computing and Informatics, 14(2), 202–213.

    Article  Google Scholar 

  • Aguilar, J., Torres, J., & Aguilar, K. (2018). Autonomic communication system based on cognitive techniques. International Journal of Knowledge-based and Intelligent Engineering Systems, 22(1), 17–37.

    Article  Google Scholar 

  • Ainsworth, T., Brake, J., Gonzalez, P., Toma, D., & Browne, A. F. (2021). A comprehensive survey of industry 4.0, iiot and areas of implementation. In SoutheastCon 2021 (pp. 1–6).

  • Al-Busaidi, K. A., & Olfman, L. (2017). Knowledge sharing through inter-organizational knowledge sharing systems. VINE Journal of Information and Knowledge Management Systems, 47(1), 110–136.

    Article  Google Scholar 

  • Antonelli, D., Bruno, G., Taurino, T., & Villa, A. (2015). Graph-based models to classify effective collaboration in sme networks. International Journal of Production Research, 53(20), 6198–6209. https://doi.org/10.1080/00207543.2015.1038368

    Article  Google Scholar 

  • Bohlouli, M., Merges, F., & Fathi, M. (2014). Knowledge integration of distributed enterprises using cloud based big data analytics. In IEEE international conference on electro/information technology (pp. 612–617).

  • Boukadi, K., Vincent, L., & Ghedira, C. (2010). A multi-layer framework for virtual organizations creation in breeding environment. In Working conference on virtual enterprises (pp. 287–296). Springer.

  • Camarinha-Matos, L. M., Fornasiero, R., & Afsarmanesh, H. (2017). Collaborative networks as a core enabler of industry 4.0. In Working conference on virtual enterprises (Vol. 1, pp. 3–17). Springer.

  • Camarinha-matos, L. M., Scherer, R. J., Wg, I., & Conference, W. (2013). Collaborative systems for reindustrialization. In 14th IFIP WG 5.5 working conference on virtual enterprises. Springer.

  • Chen, Y., Kreulen, J., Campbell, M., & Abrams, C. (2011). analytics ecosystem transformation: a force for business model innovation. in 2011 annual srii Global Conference (pp. 11–20).

  • Choudhary, A. K., Harding, J. A., Lin, H. K., Tiwari, M. K., & Shankar, R. (2011). Knowledge discOvery and daTa minINg inteGrated (KOATING) moderators for collaborative projects. International Journal of Production Research, 49(23), 7029–7057.

    Article  Google Scholar 

  • Choudhary, A. K., Harding, J. A., Tiwari, M. K., & Shankar, R. (2019). Knowledge management based collaboration moderator services to support smes in virtual organizations. Production Planning & Control, 30(10–12), 951–970.

    Article  Google Scholar 

  • Cisneros-Cabrera, S., Sampaio, P., & Mehandjiev, N. (2018). A b2b team formation microservice for collaborative manufacturing in industry 4.0. In 2018 IEEE world congress on services (SERVICES) (pp. 37–38). IEEE.

  • Cong, Q., Zhang, J. C., Liu, Q., & Huang, Z. (2010). Service-based virtual enterprise information system integrated model. In 2010 international conference on management and service science (pp. 1–4).

  • Daudi, M., & Msanjila, S. S. (2014). Experimentation of rational trust evolution and sustainability in dynamic VOs. IFIP international federation for information processing 2014 (pp. 357–364). Springer.

  • Durugbo, C. (2013). Managing partnership uncertainty for sustainable services: A conceptual model. In 14th IFIP WG 5.5 working conference on virtual enterprises (pp. 355–362). Springer.

  • Estanyol, F., & Lurgi, M. (2011). On the implementation of a dbe to improve sme collaboration. In 5th IEEE international conference on digital ecosystems and technologies (IEEE DEST 2011) (Vol. 5, pp. 147–152).

  • Fernández-Sáez, A. M., Bocco, M. G., & Romero, F. P. (2010). Slr-tool: A tool for performing systematic literature reviews. In ICSOFT (2) (pp. 157–166).

  • Ferreira, F., Faria, J., Azevedo, A., & Marques, A. L. (2016). Industry 4.0 as enabler for effective manufacturing virtual enterprises. In Working conference on virtual enterprises (Vol. 480, pp. 274–285). Springer.

  • Ferreira, P. S., Shamsuzzoha, A., Toscano, C., & Cunha, P. (2012). Framework for performance measurement and management in a collaborative business environment. International Journal of Productivity and Performance Management, 61(6), 672–690.

    Article  Google Scholar 

  • Filos, E., & Ouzounis, V. K. (2003). Virtual organisations: Technologies, trends, standards and the contribution of the european r&d programs. International Journal of Computer Applications in Technology, 18(1–4), 6–26.

    Article  Google Scholar 

  • Guamushig, T., Lopez, C., Santorum, M., & Aguilar, J. (2019). Characterization of a fourth generation virtual organization based on industry 4.0. In 2019 international conference on information systems and software technologies (ICI2ST) (pp. 182–186).

  • Hao, Y., Shamsuzzoha, A., & Helo, P. (2014). An enterprise system virtual factories platform for collaborative business environment. In IEEE international conference on industrial engineering and engineering management (Vol. 2015-Janua, pp. 1476–1480). IEEE.

  • Kim, C., Kim, K., Lee, J., Kang, D., & Ryu, K. (2013). Ontology-based process model for business architecture of a virtual enterprise. International Journal of Computer Integrated Manufacturing, 26(7), 583–595.

    Article  Google Scholar 

  • Kitchenham, B. A. (2012). Systematic review in software engineering: where we are and where we should be going. In Proceedings of the 2nd international workshop on evidential assessment of software technologies (pp. 1–2).

  • Knoke, B., Missikoff, M., & Thoben, K.-D. (2017). Collaborative open innovation management in virtual manufacturing enterprises. International Journal of Computer Integrated Manufacturing, 30(1), 158–166.

    Google Scholar 

  • Lazarova-Molnar, S., Mohamed, N., & Al-Jaroodi, J. (2018). Collaborative data analytics for industry 4.0: Challenges, opportunities and models. In 2018 sixth international conference on enterprise systems (ES), (pp. 100–107).

  • Lazarova-Molnar, S., Mohamed, N., & Al-Jaroodi, J. (2019). Data analytics framework for Industry 4.0: enabling collaboration for added benefits. IET Journals, 4(2), 5169–5178.

    Google Scholar 

  • Leveling, J., Edelbrock, M., & Otto, B. (2014). Big data analytics for supply chain management. In 2014 IEEE international conference on industrial engineering and engineering management (pp. 918–922).

  • Li, G., & Wei, M. (2014). Everything-as-a-service platform for on-demand virtual enterprises. Information Systems Frontiers, 16(3), 435–452.

    Article  Google Scholar 

  • Lopez, C., Santorum, M., & Aguilar, J. (2019). Autonomous cycles of collaborative processes for integration based on industry 4.0. In Information Technology and Systems. ICITS 2019. (Vol. 918, pp. 177–186). Springer, Cham.

  • Lopez, C., Santorum, M., & Aguilar, J. (2020). FAVO: Framework of autonomous virtual organizations based on industry 4.0. Iberian Journal of Information Systems and Technologies, E27, 333–345.

    Google Scholar 

  • Mandal, S. (2015). An empirical-collaborative model of supply chain agility. International Journal of Logistics Systems and Management, 21(4), 465–502.

    Article  Google Scholar 

  • Miller, S. (2001). Pico worksheet and search strategy. National Center for Dental Hygiene Research.

  • Msanjila, S. S., & Afsarmanesh, H. (2010). Fetr: A framework to establish trust relationships among organizations in vbes. Journal of Intelligent Manufacturing, 21(3), 251–265.

    Article  Google Scholar 

  • Mu, W., Benaben, F., & Pinguad, H. (2018). An ontology-based collaborative business service selection: Contributing to automatic building of collaborative business process. Service Oriented Computing and Applications, 12(1), 59–72. https://doi.org/10.1007/s11761-018-0229-1

    Article  Google Scholar 

  • Narendra, N. C., Norta, A., Mahunnah, M., Ma, L., & Maggi, F. M. (2016). Sound conflict management and resolution for virtual-enterprise collaborations. Service Oriented Computing and Applications, 10(3), 233–251.

    Article  Google Scholar 

  • Norta, A. (2015). Creation of smart-contracting collaborations for decentralized autonomous organizations. In Perspectives in business informatics research - lecture notes in business information processing (Vol. 229, chap. 1, pp. 3–17). Springer. http://www.scopus.com/inward/record.url?eid=2-s2.0-84951264341&partnerID=tZOtx3y1

  • OECD (2010). Perspectives on global development 2010: Shifting wealth. OECD Publishing. https://www.oecd-ilibrary.org/development/perspectives-on-global-development-2010_9789264084728-en

  • Oppenheim, D., Bagheri, S., Ratakonda, K., & Chee, Y. (2011). Agility of enterprise operations across distributed organizations: A model of cross enterprise collaboration. In 2011 Annual SRII global conference (pp 154–162).

  • Osorio, A., Afsarmanesh, H., & Camarinha-Matos, L. M. (2011). A service integration platform for collaborative networks. Studies in Informatics and Control, 20(1), 19–30. https://doi.org/10.24846/v20i1y201102

    Article  Google Scholar 

  • Pacheco, F., Rangel, C., Aguilar, J., Cerrada, M., & Altamiranda, J. (2014). Methodological framework for data processing based on the data science paradigm. In 2014 XL Latin american computing conference (CLEI) (pp. 1–12).

  • Palmer, C., Harding, J. A., Swarnkar, R., Das, B. P., & Young, R. I. (2013). Generating rules from data mining for collaboration moderator services. Journal of Intelligent Manufacturing, 24(2), 313–330.

    Article  Google Scholar 

  • Paszkiewicz, Z., & Picard, W. (2009). Modeling virtual organization architecture with the virtual organization breeding methodology. In Working conference on virtual enterprises (pp. 187–196). Springer.

  • Perozo, N., Aguilar, J., Terán, O., & Molina, H. (2013). A verification method for masoes. IEEE Transactions on Cybernetics, 43(1), 64–76.

    Article  Google Scholar 

  • Peruzzini, M., Germani, M., & Marilungo, E. (2013). Product-service sustainability assessment in virtual manufacturing enterprises. In 14th IFIP WG 5.5 working conference on virtual enterprises. (pp. 13–21). Springer.

  • Pivoto, D. G., de Almeida, L. F., da Rosa Righi, R., Rodrigues, J. J., Lugli, A. B., & Alberti, A. M. (2021). Cyber-physical systems architectures for industrial internet of things applications in industry 4.0: A literature review. Journal of Manufacturing Systems, 58, 176–192.

    Article  Google Scholar 

  • Polyantchikov, I., Shevtshenko, E., Karaulova, T., Kangilaski, T., & Camarinha-Matos, L. M. (2017). Virtual enterprise formation in the context of a sustainable partner network. Industrial Management and Data Systems, 117(7), 1446–1468.

    Article  Google Scholar 

  • Priego-Roche, L.-M., Rieu, D., & Front, A. (2009). A \(360^\circ \) vision for virtual organizations characterization and modelling. In C. Godart, N. Gronau, S. Sharma, & G. Canal (Eds.), IFIP international federation for information processing 2009 (pp. 427–442). Springer.

  • Priego-roche, L.-M., Rieu, D., & Front, A. (2016). A framework for virtual organization requirements. Requirements Engineering, 21(4), 439–460.

    Article  Google Scholar 

  • Priego-Roche, L. M., Thom, L. H., Rieu, D., Mendling, J., et al. (2012). Business process design from virtual organization intentional models. In international conference on advanced information systems engineering (pp. 549–564). Springer.

  • Putnik, G. D., & Cruz-Cunha, M. M. (2014). A taxonomy for virtual enterprises. Journal of Universal Computer Science, 20(6), 859–884.

    Google Scholar 

  • Romero, D., & Molina, A. (2010). Virtual organisation breeding environments toolkit: Reference model, management framework and instantiation methodology. Production Planning and Control, 21(2), 181–217.

    Article  Google Scholar 

  • Romero, D., & Molina, A. (2011). Green virtual enterprise breeding environment reference framework. In working conference on virtual enterprises (Vol. 362, pp. 545–555). Springer.

  • Sanchez, M., Exposito, E., & Aguilar, J. (2020). Autonomic computing in manufacturing process coordination in industry 4.0 context. Journal of Industrial Information Integration. https://doi.org/10.1016/j.jii.2020.100159

    Article  Google Scholar 

  • Sanchez, M., Exposito, E., & Aguilar, J. (2020). Implementing self-* autonomic properties in self-coordinated manufacturing processes for the Industry 4.0 context. Computers in Industry, 121, 103247.

    Article  Google Scholar 

  • Sasiain, J., Sanz, A., Astorga, J., & Jacob, E. (2020). Towards flexible integration of 5g and iiot technologies in industry 4.0: A practical use case. Applied Sciences, 10(21), 7670.

    Article  Google Scholar 

  • Semar-Bitah, K., & Boukhalfa, K. (2019). Towards the meta-modeling of complex inter-organisationnel collaborative processes. International Journal of E-Business Research (IJEBR), 15(3), 16–34.

    Google Scholar 

  • Shadi, M., Afsarmanesh, H., & Dastani, M. (2013). Agent behaviour monitoring in virtual organizations. In 2013 workshops on enabling technologies: Infrastructure for collaborative enterprises (pp. 9–14).

  • Stochitoiu, A. G. C., Popa, C. L., Dobrescu, T., & Cotet, C. E. (2018). The gap between the knowledge of virtual enterprise actor and knowledge demand of industry 4.0. Annals of DAAAM & proceedings (pp. 0743–750).

  • Vizcarrondo, J., Aguilar, J., Exposito, E., & Subias, A. (2012). Armiscom: Autonomic reflective middleware for management service composition. In 2012 global information infrastructure and networking symposium (GIIS) (pp. 1–8).

  • Vizcarrondo, J., Aguilar, J., Exposito, E., & Subias, A. (2017). Mape-k as a service-oriented architecture. IEEE Latin America Transactions, 15(6), 1163–1175.

    Article  Google Scholar 

  • Wamamu, G., & Kanyi, P. (2017). Virtual enterprise as a multi agent system. International Journal of Agent Technologies and Systems, 8(1), 46–68.

    Google Scholar 

  • Wang, Q., Jin, H., & Liu, Y. (2010). Collaboration analytics: Mining work patterns from collaboration activities. In Proceedings of the 19th ACM international conference on Information and knowledge management (pp. 1861–1864).

  • Zamanian, M., Mohsenzadeh, M., & Nassiri, R. (2014). A novel framework for virtual organization creation on cloud. In Working conference on virtual enterprises (pp. 435–442). Springer.

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Authors and Affiliations

  1. Departamento de Informática y Ciencias de la Computación, Escuela Politécnica Nacional, Quito, Ecuador

    Cindy-Pamela Lopez & Marco Santorum

  2. CEMISID, Universidad de Los Andes, Mérida, Venezuela

    Jose Aguilar

  3. GIDITIC, Universidad EAFIT, Medellín, Colombia

    Jose Aguilar

  4. Departamento de Automática, Universidad de Alcalá, Alcalá, Spain

    Jose Aguilar

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  1. Cindy-Pamela Lopez
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  2. Jose Aguilar
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  3. Marco Santorum
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Correspondence to Jose Aguilar.

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Lopez, CP., Aguilar, J. & Santorum, M. Autonomous VOs management based on industry 4.0: a systematic literature review. J Intell Manuf 34, 1275–1291 (2023). https://doi.org/10.1007/s10845-021-01850-8

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