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A Robust Optimization Model for Supply Chain in Agile and Flexible Mode Based on Variables of Uncertainty

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  • Sasan Torabzadeh Khorasani

    (Texas Tech University)

Abstract

Uncertainty in the business environment is one of the main challenges for modern organizations. Uniformity and a lack of timely response to changing environmental conditions can create inappropriate and sometimes irreversible consequences. If decision makers can use new approaches and strategies based on a systematic method, they will be able to guide their organization toward improvements. Agile supply chain systems enhance the organization’s ability to survive in an unpredictable business environment. Various methods have been used to design an agile and flexible supply chain. This paper endeavors to obtain a result using the mathematical modeling method to create optimal outcome by introducing new possibilities for an agile and flexible supply chain. This article considers five objective functions as follows: (1) minimizing the production line stoppage because of the performance of suppliers, (2) minimizing the supplier complaints, (3) minimizing suppliers defective parts, (4) maximizing on-time delivery, and (5) the total cost of supplying parts.

Suggested Citation

  • Sasan Torabzadeh Khorasani, 2018. "A Robust Optimization Model for Supply Chain in Agile and Flexible Mode Based on Variables of Uncertainty," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(3), pages 239-253, September.
    • Handle: RePEc:spr:gjofsm:v:19:y:2018:i:3:d:10.1007_s40171-018-0191-y
    DOI: 10.1007/s40171-018-0191-y
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    10. Gideon Niel D. Tan, 2021. "A Business-Model Approach on Strategic Flexibility of Firms in a Shifting Value Chain: The Case of Coffee Processors in Amadeo and Silang, Cavite, Philippines," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(1), pages 17-28, March.
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