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ارایه مدلی برای ارزیابی پادشکنندگی زنجیره تامین )موردمطالعه: شرکت توزیع دارو پخش(.
- Source :
- Journal of Decisions & Operations Research; Jun2023, Vol. 8 Issue 1, Preceding p72-87, 16p
- Publication Year :
- 2023
-
Abstract
- Purpose: The purpose of this paper to evaluate the level of antifragility in the supply chain of a Daroopakhsh company. To improve the company's competitive position and confrontation to disruptions and breakdowns, the supply chain must move towards antifragility. Accordingly, the supply chain, in addition to being prepared to deal with and respond to disruptions, has the ability to recover pre-disruption conditions and create even better conditions. To move in this direction, it is necessary for decision makers to properly recognize the current position of their supply chain and make the right decisions to improve its dominance. Methodology: To achieve this goal, the present study intends to determine the declining performance of this supply chain system in optimal, current and minimum conditions using Demetel technique, graph theory method and matrix approach. Finally, using the importance-performance analysis method, the components of supply chain are analyzed and prioritize the improvement of each factor. Findings: Based on the results, respectively, supply chain structure, improvement and recovery, learning, flexibility and innovation are in the first to fifth priority to improve the dominance structure of the company's supply chain. Originality/Value: This research supports organizations in assessing the level of sufficiency of their supply chain and facilitates decision making. The following approach can simplify the dynamic nature of the environment for managing supply chain disruptions and even allow managers to compare different supply chains. Continuous assessment and monitoring of the level of chain volatility enables the creation of a competitive advantage to achieve greater market share even during a disruption or ongoing disruptions. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Persian
- ISSN :
- 25385097
- Volume :
- 8
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Decisions & Operations Research
- Publication Type :
- Academic Journal
- Accession number :
- 163471360