Robust goal programming approach for healthcare network management for perishable products under disruption

In this paper, a robust goal programming model for a healthcare network design problem under disruption is developed. The objective of the proposed multi-period, multi-echelon model is to simultaneously optimize the total deviation from the considered three goals, including minimizing network cost, maximizing network coverage, and maximizing net-work reliability. Distribution uncertainty of healthcare demand and facility capacity is cap-tured. The perishability of healthcare products is regarded with limited shelf-life. Using an option contract ensures appropriate coordination with suppliers during pre and post -disaster periods. Via handling the tractable robust budget-based counterpart model, suit-able strategies are proposed to present the designed network's efficiency and effective-ness. Risk mitigation strategies deal with disrupted demand and supply in the healthcare network with specific impacts on coverage, cost, and reliability of the services. The pro-posed cooperate coverage mechanism provides appropriate service coverage under disrup-tion propagation. Finally, the option contract has achieved cost-efficient coordination un-der demand uncertainty. Furthermore, practical managerial insights are demonstrated by investigating a real-life case study and conducting extensive sensitivity analyses.(c) 2022 Elsevier Inc. All rights reserved.