Enhancing Food Supply Chain in Green Logistics with Multi-Level Processing Strategy under Disruptions

Food supply chains (FSCs) have long been exposed to environmental variability and shock events caused by various economic, political, infrastructural factors. The outbreak of the COVID-19 pandemic has further identified vulnerability FSCs, promoted integrated optimization approaches for building resilience. However, existing works focusing on general (SCs) FSCs not fully aware distinct characteristics in green logistics, i.e., expiration fresh products. In reality, perishable food materials can be processed into products different processing levels (i.e., multi-level processing) longer shelf lives, which serve as a timely economic strategy increase safety stocks mitigating disruption risks. Motivated this fact, we study problem enhancing FSC with strategy. An location, inventory, distribution planning model multi-echelon under COVID-19-related disruptions is formulated maximize total profit over finite horizon. Specifically, two-stage stochastic programming presented hedge against risks, where scenarios are generated characterize geographical impact induced source-region disruptions. For small-scale problems, solved commercial solvers. To exactly efficiently solve large-scale instances, design an integer L-shaped method. Numerical experiments conducted case randomly instances show efficiency our solution Based study, managerial insights drawn.