A new dynamic optimisation model for operational supply chain recovery
本文基于最优控制理论，建立了一个动态模型来优化供应链在运营层面的恢复措施，同时最小化成本，并通过家禽供应链案例展示了模型如何帮助管理者比较不同恢复方案的时间和成本。
This paper focuses on the problem of dynamic supply chain (SC) recovery. We consider effectiveness and efficiency of various reactive measures to recover the SC with the minimum cost at the operational level. For this purpose, a new general model based on bounded optimal control theory is developed to determine the type, the extent, and the timing of reactive measures. We demonstrate its application using an example of a two-echelon poultry SC. The intention of the proposed model is to optimise both the recovery and its costs simultaneously. The developed model is solved exactly using the Pontryagin’s maximum principle. We performed a set of sensitivity analyses to illustrate the model's behaviour. The results obtained from applying the dynamic recovery model in the case study show that the proposed model can help SC managers to deal with disruptions by comparing alternative recovery options, based on two important criteria of the time and cost of SC's recovery. The findings of this research advocate the consideration of dynamic SC characteristics and the need for simultaneous attention to the effectiveness and efficiency of reactive measures in recovery planning.