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Control-Theoretic Models and Algorithms for Supply Chain Scheduling with Capacity Disruption and Recovery Considerations

In: Structural Dynamics and Resilience in Supply Chain Risk Management

Author

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  • Dmitry Ivanov

    (Berlin School of Economics and Law)

Abstract

Coordinated decision-making distinguishes the supply chain scheduling problem as a specific research topic (Ivanov et al. 2017). In supply chains, after processing at the production plants (i.e., the suppliers), finished products can be delivered to the next production stage in the supply chain or to the customers. In terms of scheduling theory, we have a flow shop process (Johnson 1954; Gonzalez and Sahni 1978; Gupta et al. 2001). At the same time, at each stage in this multistage environment, alternative executors (e.g., production plants and transportation modes) exist which are unequal their processing intensities. Once a job is assigned to a supplier, the processing of the operations of this job can be done either in job shop or flow shop modes. Thus, the supply chain is a hybrid flow shop (Ribas et al. 2010). This requires both machine assignment and sequencing tasks.

Suggested Citation

  • Dmitry Ivanov, 2018. "Control-Theoretic Models and Algorithms for Supply Chain Scheduling with Capacity Disruption and Recovery Considerations," International Series in Operations Research & Management Science, in: Structural Dynamics and Resilience in Supply Chain Risk Management, chapter 0, pages 203-241, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-69305-7_7
    DOI: 10.1007/978-3-319-69305-7_7
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