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

Document Type : Article

Authors

1 School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

2 Management and Industrial Engineering Department, Malek Ashtar University of Technology, Tehran, Iran

3 - School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran. - National Elites Foundation of Iran, Tehran, Iran

4 School of Industrial Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran

Abstract

Recently, the manufactures of complex product and its subsystems have faced a series of disruptions and troublesome behaviors in supplying goods and items. Likewise, suppliers in this area are more likely to be affected by external risks, in turn eventuating in disturbances. Selecting resilient and expedient suppliers dramatically decreases the delay time and costs and contributes to the competitiveness and development of the companies and organizations in this field. In this regard, this paper aims at proposing a bi-objective robust mathematical model to provide resilience supplier selection and order allocation for complex products and its 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 supply from occurred disruptions, fortification of the suppliers, using backup suppliers, and utilizing the extra production capacity for suppliers have been devised to tolerate disruptions. Meanwhile, the augmented ε-constraint method is used, ensuring the optimal strong Pareto solutions and preventing the weak ones for the proposed bi-objective model. The 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.

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References

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Scientia Iranica
Volume 28, Issue 3 - Serial Number 3
Transactions on Industrial Engineering (E)
May and June 2021
Pages 1802-1816

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