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

Sasan Torabzadeh Khorasani ()
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Sasan Torabzadeh Khorasani: Texas Tech University

Global Journal of Flexible Systems Management, 2018, vol. 19, issue 3, No 5, 239-253

Abstract: 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.

Keywords: Agility; Assignment; Flexibility; Supply chain; Uncertainty (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (14)

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DOI: 10.1007/s40171-018-0191-y

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