Researchers' perspectives on Industry 4.0: multidisciplinary analysis and opportunities for operations management

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Buer, S. V., Strandhagen, J. O., & Chan, F. T. (2018). The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda. International journal of production research, 56(8), 2924-2940.‏

Cachon, G. P., Girotra, K., & Netessine, S. (2020). Interesting, important, and impactful operations management. Manufacturing & Service Operations Management, 22(1), 214-222.‏

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Cavalcante, I. M., Frazzon, E. M., Forcellini, F. A., & Ivanov, D. (2019). A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing. International Journal of Information Management, 49, 86-97.‏

Choi, T. Y., Dooley, K. J., & Rungtusanatham, M. (2001). Supply networks and complex adaptive systems: control versus emergence. Journal of operations management, 19(3), 351-366.‏

Choi, T. M., Wallace, S. W., & Wang, Y. (2018). Big data analytics in operations management. Production and Operations Management, 27(10), 1868-1883.‏

Chou, M. C., Chua, G. A., Teo, C. P., & Zheng, H. (2010). Design for process flexibility: Efficiency of the long chain and sparse structure. Operations research, 58(1), 43-58.‏

Das, A., Narasimhan, R., & Talluri, S. (2006). Supplier integration—finding an optimal configuration. Journal of operations management, 24(5), 563-582.‏

Dekkers, R. (2009). Distributed manufacturing as co-evolutionary system. International Journal of Production Research, 47(8), 2031-2054.‏

Demirezen, E. M., Kumar, S., & Shetty, B. (2020). Two is better than one: A dynamic analysis of value co‐creation. Production and operations management, 29(9), 2057-2076.‏

Disney, S. M., & Towill, D. R. (2003). Vendor‐managed inventory and bullwhip reduction in a two‐level supply chain. International journal of operations & production Management, 23(6), 625-651.‏

Dolgui, A., Ivanov, D., Potryasaev, S., Sokolov, B., Ivanova, M., & Werner, F. (2020). Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. International Journal of Production Research, 58(7), 2184-2199.‏

Dolgui, A., Ivanov, D., Sethi, S. P., & Sokolov, B. (2019). Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications. International journal of production research, 57(2), 411-432.‏

D'Souza, D. E., & Williams, F. P. (2000). Toward a taxonomy of manufacturing flexibility dimensions. Journal of operations management, 18(5), 577-593.‏

Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019). Big data and predictive analytics and manufacturing performance: integrating institutional theory, resource‐based view and big data culture. British Journal of Management, 30(2), 341-361.‏

Dubey, R., A. Gunasekaran, S. J. Childe, S. F. Wamba, D. Roubaud, and C. Foropon. )2019b(. Empirical Investigation of Data Analytics Capability and Organizational Flexibility as Complements to Supply Chain Resilience. International Journal of Production Research. doi:10.1080/00207543.2019. 1582820.

Fox, M. S., M. Barbuceanu, and R. Teigen. )2000(.Agent-oriented Supply Chain Management System. International Journal of Flexible Manufacturing Systems. 12, 165–188.

Fragapane, G., M. Peron, F. Sgarbossa, J. O. Strandhagen, and D. Ivanov. (2020). Increasing Flexibility and Productiv-ity in Industry 4.0 Production Networks with Autonomous Mobile Robots and Smart Intralogistics. Annals of Opera-tions Research. 308, 125-143. Doi: 10.1007/s10479-020-03526-7.

Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International journal of production economics, 210, 15-26.‏

Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International journal of production economics, 210, 15-26.‏

Gunasekaran, A., & Ngai, E. W. (2009). Modeling and analysis of build-to-order supply chains. European Journal of Operational Research, 195(2), 319-334.‏

Ivanov, D. (2018). Structural dynamics and resilience in supply chain risk management (Vol. 265). Berlin, Germany: Springer International Publishing.‏

Ivanov, D. (2020). Viable Supply Chain Model: Integrating Agility, Resilience and Sustainability Perspectives. Lessons From and Thinking Beyond the COVID-19 Pandemic. Annals of Operations Research. 1, 1411-1431 Doi: 10.1007/s10479-020-03640-6.

Ivanov, D., A. Das, and T.-M. Choi. (2018). New Flexibility Drivers in Manufacturing, Service, and Supply Chain Sys-tems. International Journal of Production Research. 56(10), 3359–3368.

Ivanov, D., and A. Dolgui. (2020a). A Digital Supply Chain Twin for Managing the Disruption Risks and Resilience in the era of Industry 4.0. Production Planning and Control. 32, 775-788. doi:10.1080/09537287.2020.1768450.

Ivanov, D., and A. Dolgui. )2020b(. Viability of Intertwined Supply Networks: Extending the Supply Chain Resilience Angles towards Survivability. A Position Paper Motivated by COVID-19 Outbreak. International Journal of Production Research, 58(10), 2904–2915.

Ivanov, D., A. Dolgui, and B. Sokolov. (2019). The Impact of Digital Technology and Industry 4.0 on the Ripple Effect and Supply Chain Risk Analytics. International Journal of Production Research, 57(3), 829–846.

Ivanov, D., A. Dolgui, B. Sokolov, F. Werner, and M. Ivanova. (2016). A Dynamic Model and an Algorithm for Short-term Supply Chain Scheduling in the Smart Factory Industry 4.0. International Journal of Production Research, 54(2), 386–402.

Ivanov, D., S. Sethi, A. Dolgui, and B. Sokolov. (2018). A Survey on the Control Theory Applications to Operational Sys-tems, Supply Chain Management and Industry 4.0. Annual Reviews in Control, 46, 134–147.

Ivanov, D., & Sokolov, B. (2010). Adaptive supply chain management. Springer Science & Business Media.‏

Ivanov, D., and B. Sokolov. (2012). The Inter-disciplinary Mod-elling of Supply Chains in the Context of Collaborative Multi-structural Cyber-physical Networks. Journal of Man-ufacturing Technology Management, 23(8), 976–997.

Ivanov, D., B. Sokolov, W. Chen, A. Dolgui, F. Werner, and S. Potryasaev. (2020). A Control Approach to Scheduling Flexibly Configurable Jobs with Dynamic Structural-Logical Constraints. IISE Transactions, 1–18. Doi: 10.1080/24725854. 2020.1739787.

Jabbour, C. J. C., Lopes de Sousa Jabbour, A. B., Godinho Filho, M., & Roubaud, D. (2018). Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations. Annals of Operations Research, 270, 273-286.‏

Ferreira, K. J., Lee, B. H. A., & Simchi-Levi, D. (2016). Analytics for an online retailer: Demand forecasting and price optimization. Manufacturing & service operations management, 18(1), 69-88.‏

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Koren, Y., Heisel, U., Jovane, F., Moriwaki, T., Pritschow, G., Ulsoy, G., & Van Brussel, H. (1999). Reconfigurable manufacturing systems. CIRP annals, 48(2), 527-540.‏

Kumar, S., Mookerjee, V., and Shubham, A. (2018). Research in operations management and information systems interface. Production and Operations Management, 27(11), 1893-1905.‏

Kusiak, A. (2018). Smart Manufacturing. International Journal of Production Research, 56(1–2), 508–517.

Lee, H., and Özer, Ö. (2007). Unlocking the value of RFID. Production and operations management, 16(1), 40-64.‏

Li, Y., Jia, G., Cheng, Y., and Hu, Y. (2017). Additive Manufacturing Technology in Spare Parts Supply Chain: A Comparative Study. International Journal of Production Research, 55(5), 1498–1515.

Liao, Y., Deschamps, F., Loures, E. D. F. R., and Ramos, L. F. P. (2017). Past, Present and Future of Industry 4.0 – A Systematic Literature Review and Research Agenda Proposal. International Journal of Production Research, 55(12), 3609–3629.

Li, S., and Visich, J. K. (2006). Radio Frequency Identification: Supply Chain Impact and Implementations Challenges. International Journal of Integrated Supply Management, 2(4), 407–424.

Liu, Y., Wang, L., Wang, X. V., Xu, X., and Zhang, L. (2019). Scheduling in Cloud Manufacturing: State-of-the-art and Research Challenges. International Journal of Production Research, 57(15–16), 4854–4879.

Luthra, S., Kumar, A., Zavadskas, E. K., Mangla, S. K., and Garza-Reyes, J. A . (2020). Industry 4.0 as an Enabler of Sustainability Diffusion in Supply Chain: An Analysis of Influential Strength of Drivers in an Emerging Economy. International Journal of Production Research, 58(5), 1505– 1521.

Machado, C. G., Winroth, M. P., and Ribeiro da Silva, E. H. D. (2020). Sustainable Manufacturing in Industry 4.0: An Emerging Research Agenda. International Journal of Production Research, 58(5), 1462–1484.

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Mittal, S., Khan, M. A., Romero, D., and Wuest, T. (2018). A Critical Review of Smart Manufacturing & Industry 4.0 Maturity Models: Implications for Small and Medium Sized Enterprises (SMEs). Journal of Manufacturing Systems, 49, 194–214.

Moghaddam, M., and Nof, S. Y. (2018). Collaborative Service-Component Integration in Cloud Manufacturing. International Journal of Production Research, 56(1–2), 677–691.

Nair, A., and Vidal, J. M. (2011). Supply Network Topology and Robustness Against Disruptions – An Investigation Using a Multi-agent Model. International Journal of Production Research, 49(5), 1391–1404.

Nayak, A., Reyes Levalle, R., Lee, S., and Nof, S. Y. (2016). Resource Sharing in Cyber physical Systems: Modeling Framework and Case Studies. International Journal of Production Research, 54(23), 6969–6983.

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Oesterreich, T. D., and Teuteberg, F. (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. Computers in Industry, 83, 121–139.

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