Resilient supplier selection in complex products and their subsystem supply chains under uncertainty and risk disruption: A case study for satellite components

Recently, the manufacture of complex products and their subsystems has faced disruption and troublesome behavior in supplying goods and items. Likewise, suppliers in this area are more likely to be affected by external problems, resulting in disturbances. Selecting resilient and expedient suppliers dramatically decreases delay time and costs and contributes to the competitiveness and development of companies and organizations in this field. In this regard, this paper aims at proposing a bi-objective robust mathematical model to provide resilient supplier selection and order allocation for complex products and their subsystems in response to uncertainty and disruption risks. In the proposed model, a robust optimization approach is deployed, providing stable decisions for the proposed problem. Also, different resilience strategies, including restoring a supply from occurred disruptions, fortification of suppliers, using backup suppliers, and utilizing extra production capacity for suppliers, have been devised to tolerate disruptions. Meanwhile, the augmented s-constraint method is used, ensuring optimal strong Pareto solutions and preventing weak ones for the proposed bi-objective model. Evaluation of the effectiveness and desirability of the developed model is explored by discussing a real case study, via which helpful managerial insights are gained. (C) 2021 Sharif University of Technology. All rights reserved.

Automated summary

The paper proposes a bi-objective robust mathematical model for resilient supplier selection and order allocation for complex products and their subsystems. It utilizes a robust optimization approach and various resilience strategies, ensuring optimal solutions with the augmented s-constraint method.