Designing a resilient medical laboratory service network under disruption and uncertainty: A case study

Abstract

Health service networks play a key role in ensuring the health of society. Disruptive and operational risks are constantly affecting the goals of healthcare supply chain and service networks. Therefore, adopting a suitable approach to deal with risks is critical in the mentioned networks. This study proposes a mathematical model for designing an integrated resilient medical laboratory service network and the supply chain of laboratory consumables under multiple facility disruptions to minimize the total network design costs. A robust possibilistic optimization approach is employed to deal with the uncertainty of input parameters. Then, a case study is presented to extract the results and evaluate the proposed model. Regarding the results, the integration of the laboratory service network and laboratory consumables supply chain significantly reduces costs and improves the service process in the long run. Also, adopting more efficient resiliency strategies will increase the cost savings of the entire network.