Design of a Reliable Supply Chain Network for Modular Products in Conditions of Uncertainty: A Case Study of LPG Export Cryogenic Pumps

Document Type : Research/ Original/ Regular Article

Authors

1 Master student of Payame Noor University of North Tehran

2 univ.Payam Noor

Abstract

Nowadays, companies are trying to meet customer demand due to the economic characteristics of modern global business and complex supply chain operations. Global demand uncertainty is a major challenge that is exacerbated by the occurrence of disruptions. In this study, a multi-product fuzzy stochastic nonlinear mathematical programming model is proposed to design a reliable supply chain network considering a product with modular manufacturing technology at the risk of disruption. Also, a decision support system is designed for modular production, which plays a major role in increasing the reusability of products and reducing waste. The case study, focuses on the production of cryogenic pumps used for the export of LPG, which is a critical equipment in the export of liquid propane and butane. The structure of this supply chain network includes levels of module suppliers, primary production centers, inspection centers, repair centers, reproduction centers, and customers. To deal with the disturbances, a scenario-based stochastic approach has been used and parametric uncertainty has been managed with the possibilistic-robust hybrid programming approach. The model evaluation has been performed with a precise approach in GAMS software with CPLEX solver and the sensitivity analysis has addressed the uncertain parameters. The results show that the current approach while controlling the uncertainty, ensures the optimal flow of facilities.

Keywords

Main Subjects

References

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History

  • Receive Date: 01 December 2021
  • Revise Date: 01 April 2022
  • Accept Date: 16 April 2022
  • Publish Date: 22 May 2022

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