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Performance Evaluation of the Supply Chains Using DEA

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Supply Chain Performance Evaluation

Part of the book series: Studies in Big Data ((SBD,volume 122))

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Abstract

In recent years, supply chain management has become one of the essential topics in business literature. Because in the industrial world, in addition to dealing with internal issues, companies need to manage and monitor issues outside the organization to remain competitive with other competitors. In other words, it is vital for supply chain management to know the capabilities of each company to compete effectively in the business environment, maintaining the strengths and trying to eliminate the negative points. One of the crucial points in supply chain management is performance and efficiency measurement in competition with other competitors. In other words, supply chain performance evaluation is how to use quantitative and qualitative inputs to produce quantitative and qualitative outputs. With these conditions, measuring efficiency in supply chains is an essential issue for companies in creating regular competition with other competitors. Therefore, evaluating the efficiency of a company’s supply chain is a complex phenomenon, and instead of considering a single criterion, more cases should be considered. Also, by knowing the position of a company in a specific industry compared to other competitors, expectations from the company to increase its multiple outputs or reduce the level of various inputs to improve efficiency can be managed appropriately. Therefore, it is necessary to evaluate the performance of the supply chain by a mathematical model using financial and non-financial indicators of the supply chain. Thus, using DEA to assess supply chains has interested many researchers. The use of DEA models makes it possible to analyze the performance of supply chains in different dimensions by considering various indicators (input–output) by creating a frontier to compare the best position of each unit under evaluation with its current status and other units under assessment. So this technique gives sufficient information to evaluate the performance of supply chains. Therefore, in this chapter, we explain DEA models to assess the efficiency of supply chains.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Farhad Hosseinzadeh Lotfi

  2. Department of Software Engineering, Istinye University, Istanbul, Turkey

    Tofigh Allahviranloo

  3. Department of Industrial Management, Faculty of Economics and Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran

    Morteza Shafiee

  4. Department of Mathematics, Faculty of Science, Central Tehran Branch, Islamic Azad University, Tehran, Iran

    Hilda Saleh

Authors
  1. Farhad Hosseinzadeh Lotfi
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  2. Tofigh Allahviranloo
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  3. Morteza Shafiee
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  4. Hilda Saleh
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Correspondence to Farhad Hosseinzadeh Lotfi .

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Hosseinzadeh Lotfi, F., Allahviranloo, T., Shafiee, M., Saleh, H. (2023). Performance Evaluation of the Supply Chains Using DEA. In: Supply Chain Performance Evaluation. Studies in Big Data, vol 122. Springer, Cham. https://doi.org/10.1007/978-3-031-28247-8_8

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