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Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”

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  • Ivanov, Dmitry
  • Dolgui, Alexandre
  • Sokolov, Boris

Abstract

In this paper, we introduce cloud supply chain which is a business model based on cloud-enabled networking of some third-party physical and digital assets to design and manage a supply chain network. Cloud supply chain integrates concepts and technology of Industry 4.0 and digital platforms emerging in the “supply chain-as-a-service” paradigm. This paper conceptualizes the cloud supply chain as a new and distinct research area. Through analysis of practical cases, we deduce some generalized characteristics of the cloud supply chain. In the generalised model, we formalize supply chain multi-structural dynamics and dynamic service composition. Our results show that the main generalized characteristics of the cloud supply chain are related to (i) multi-structural dynamics; (ii) platforms, digital supply chains, ecosystems, and visibility, (iii) dynamic service composition with dynamically changing buyer/supplier roles, (iv) resilience and viability, and (v) intertwined supply networks and circular economy. We close by discussing future research directions including novel context of Industry 5.0.

Suggested Citation

  • Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
  • Handle: RePEc:eee:transe:v:160:y:2022:i:c:s1366554522000709
    DOI: 10.1016/j.tre.2022.102676
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    1. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2020. "Reconfigurable supply chain: the X-network," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 4138-4163, July.
    2. Sven Winkelhaus & Eric H. Grosse, 2020. "Logistics 4.0: a systematic review towards a new logistics system," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 18-43, January.
    3. Zheng, Ting & Ardolino, Marco & Bacchetti, Andrea & Perona, Marco, 2021. "The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 129469, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Alexandre Dolgui & Fabio Sgarbossa & Marco Simonetto, 2022. "Design and management of assembly systems 4.0: systematic literature review and research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 60(1), pages 184-210, January.
    5. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    6. Dmitry A. Ivanov & Alexander V. Arkhipov & Boris V. Sokolov, 2007. "Intelligent planning and control of manufacturing supply chains in virtual enterprises," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 11(2), pages 209-227.
    7. Mohsen Moghaddam & Shimon Y. Nof, 2018. "Collaborative service-component integration in cloud manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 677-691, January.
    8. Tsan-Ming Choi & T. C. E. Cheng & Xiande Zhao & Tsan-Ming Choi & T. C. E. Cheng & Xiande Zhao, 2016. "Multi-Methodological Research in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 25(3), pages 379-389, March.
    9. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.
    10. Arash Azadegan & Kevin Dooley, 2021. "A Typology of Supply Network Resilience Strategies: Complex Collaborations in a Complex World," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), pages 17-26, January.
    11. Yingli Wang & Catherine Huirong Chen & Ahmed Zghari-Sales, 2021. "Designing a blockchain enabled supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 59(5), pages 1450-1475, March.
    12. Dmitry Ivanov, 2021. "Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3535-3552, June.
    13. Alexandra Brintrup & Johnson Pak & David Ratiney & Tim Pearce & Pascal Wichmann & Philip Woodall & Duncan McFarlane, 2020. "Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3330-3341, June.
    14. Tsan‐Ming Choi & Subodha Kumar & Xiaohang Yue & Hau‐Ling Chan, 2022. "Disruptive Technologies and Operations Management in the Industry 4.0 Era and Beyond," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 9-31, January.
    15. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    16. Andrew Kusiak, 2022. "From digital to universal manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 60(1), pages 349-360, January.
    17. Zhang, Abraham & Wang, Jason X. & Farooque, Muhammad & Wang, Yulan & Choi, Tsan-Ming, 2021. "Multi-dimensional circular supply chain management: A comparative review of the state-of-the-art practices and research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    18. Bin Shen & Ciwei Dong & Stefan Minner, 2022. "Combating Copycats in the Supply Chain with Permissioned Blockchain Technology," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 138-154, January.
    19. Rameshwar Dubey & Angappa Gunasekaran & Stephen J. Childe & Samuel Fosso Wamba & David Roubaud & Cyril Foropon, 2021. "Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 59(1), pages 110-128, January.
    20. Hui Yang & Soundar Kumara & Satish T.S. Bukkapatnam & Fugee Tsung, 2019. "The internet of things for smart manufacturing: A review," IISE Transactions, Taylor & Francis Journals, vol. 51(11), pages 1190-1216, November.
    21. Liu, Weihua & George Shanthikumar, J. & Tae-Woo Lee, Paul & Li, Xiang & Zhou, Li, 2021. "Special issue editorial: Smart supply chains and intelligent logistics services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    22. Choi, Tsan-Ming & Guo, Shu & Liu, Na & Shi, Xiutian, 2020. "Optimal pricing in on-demand-service-platform-operations with hired agents and risk-sensitive customers in the blockchain era," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1031-1042.
    23. Winkelhaus, S. & Grosse, E. H., 2020. "Logistics 4.0: a systematic review towards a new logistics system," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 118539, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    24. Alexandre Dolgui & Dmitry Ivanov, 2022. "5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything," International Journal of Production Research, Taylor & Francis Journals, vol. 60(2), pages 442-451, January.
    25. Florian Lücker & Sunil Chopra & Ralf W. Seifert, 2021. "Mitigating Product Shortage Due to Disruptions in Multi‐Stage Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 941-964, April.
    26. Tadeusz Sawik, 2020. "Supply Chain Disruption Management," International Series in Operations Research and Management Science, Springer, edition 2, number 978-3-030-44814-1, December.
    27. Cheung, Kam-Fung & Bell, Michael G.H. & Bhattacharjya, Jyotirmoyee, 2021. "Cybersecurity in logistics and supply chain management: An overview and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    28. Shen, Bin & Xu, Xiaoyan & Guo, Shu, 2019. "The impacts of logistics services on short life cycle products in a global supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 153-167.
    29. Ivanov, Dmitry & Sokolov, Boris & Kaeschel, Joachim, 2010. "A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations," European Journal of Operational Research, Elsevier, vol. 200(2), pages 409-420, January.
    30. Sawik, Tadeusz, 2022. "Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study," Omega, Elsevier, vol. 109(C).
    31. Choi, Tsan-Ming, 2019. "Blockchain-technology-supported platforms for diamond authentication and certification in luxury supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 17-29.
    32. Dmitry Ivanov & Alexandre Dolgui & Boris 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, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    33. Ting Zheng & Marco Ardolino & Andrea Bacchetti & Marco Perona, 2021. "The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 59(6), pages 1922-1954, March.
    34. Andrew Kusiak, 2020. "Open manufacturing: a design-for-resilience approach," International Journal of Production Research, Taylor & Francis Journals, vol. 58(15), pages 4647-4658, July.
    35. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
    36. Xu, Xiaoping & Choi, Tsan-Ming, 2021. "Supply chain operations with online platforms under the cap-and-trade regulation: Impacts of using blockchain technology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    37. Dutta, Pankaj & Choi, Tsan-Ming & Somani, Surabhi & Butala, Richa, 2020. "Blockchain technology in supply chain operations: Applications, challenges and research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    38. Dmitry Ivanov & Boris Sokolov & Weiwei Chen & Alexandre Dolgui & Frank Werner & Semyon Potryasaev, 2021. "A control approach to scheduling flexibly configurable jobs with dynamic structural-logical constraints," IISE Transactions, Taylor & Francis Journals, vol. 53(1), pages 21-38, January.
    39. Dmitry Ivanov & Christopher S. Tang & Alexandre Dolgui & Daria Battini & Ajay Das, 2021. "Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management," International Journal of Production Research, Taylor & Francis Journals, vol. 59(7), pages 2055-2078, April.
    40. Peter Ralston & Jennifer Blackhurst, 2020. "Industry 4.0 and resilience in the supply chain: a driver of capability enhancement or capability loss?," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 5006-5019, July.
    41. Zeng, Fangli & Chan, Hing Kai & Pawar, Kulwant, 2020. "The adoption of open platform for container bookings in the maritime supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    42. Alexandre Dolgui & Dmitry Ivanov & Semyon Potryasaev & Boris Sokolov & Marina Ivanova & Frank Werner, 2020. "Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2184-2199, April.
    43. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov & Frank Werner & Marina 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, Taylor & Francis Journals, vol. 54(2), pages 386-402, January.
    44. Dmitry Ivanov, 2018. "Structural Dynamics and Resilience in Supply Chain Risk Management," International Series in Operations Research and Management Science, Springer, number 978-3-319-69305-7, December.
    45. Shen, Bin & Choi, Tsan-Ming & Chan, Hau-Ling, 2019. "Selling green first or not? A Bayesian analysis with service levels and environmental impact considerations in the Big Data Era," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 412-420.
    46. Dmitry Ivanov & Alexandre Dolgui, 2020. "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, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    47. Tang, Christopher S. & Veelenturf, Lucas P., 2019. "The strategic role of logistics in the industry 4.0 era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 1-11.
    48. Cao, Qingning & Tang, Yuanzhao & Perera, Sandun & Zhang, Jianqiang, 2022. "Manufacturer- versus retailer-initiated bundling: Implications for the supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
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