The inter‐disciplinary modelling of supply chains in the context of collaborative multi‐structural cyber‐physical networks

Dmitry Ivanov · Boris Sokolov

44 citations0/0 files storedJournal of Manufacturing Technology Management

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Collaboration in agile enterprises Supply Chain and Inventory Management Quality and Supply Management

Abstract

Purpose On modern markets, supply chains (SC) shape the competition landscape. At the same time, considerable research advancements have been recently achieved in the area of collaborative networks. Trends in information technology progress for networked systems include development of cyber‐physical networks, cloud service environments, etc. The purpose of this paper is to identify an inter‐disciplinary perspective and modelling tools for new generation SCs which will be collaborative cyber‐physical networks. Design/methodology/approach This study addresses the above‐mentioned research goal by first, developing a methodical vision of an inter‐disciplinary modelling framework for SCM based on the existing studies on SC operations, control and systems theories; and second, by integrating elements of different structures with structures dynamics within an adaptive framework based upon the authors' own research. Findings The inter‐disciplinary modelling framework for multi‐structural SCs has been developed. A new inter‐disciplinary level of model‐based decision‐making support in those SCs is claimed based on the integration of previously isolated problems and modelling tools developed in such disciplines like operations research, control theory, system dynamics, and artificial intelligence. Originality/value The novelty of this paper is the consideration of SC modelling in the context of collaborative cyber‐physical systems. This topic is particularly relevant for researchers and practitioners who are interested in future generation SCs. Particular focus is directed towards the multi‐structural SC modelling, structure dynamics, and inter‐disciplinary problems and models in future SCs. Challenges of integrated optimization in the organizational and informational context are discussed.

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References

2005Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations 2005Managing Disruption Risks in Supply Chains 1998Supply chain design and analysis:2001Supply networks and complex adaptive systems: control versus emergence 1999Quantitative Models for Supply Chain Management 2001An integrated model for the design of agile supply chains 1998Modeling Supply Chain Dynamics: A Multiagent Approach*2009The design of robust value-creating supply chain networks: A critical review

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2021Intertwined supply network design under facility and transportation disruption from the viability perspective 2019Ripple Effect in the Supply Chain: Definitions, Frameworks and Future Research Perspectives 2017Application of Big Data in Supply Chain Management 2020Intelligent methods and systems for decision-making support: Toward digital supply chain twins

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