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Performance Evaluation for the Sustainable Supply Chain Management

In: Sustainable Supply Chain Management

Author

Listed:
  • Xuemei Fan
  • Shujun Zhang

Abstract

Supply chain SC activities transform natural resources, raw materials, and components into various finished products that are delivered to end customers. A high efficient SC would bring great benefits to an enterprise such as integrated resources, reduced logistics costs, improved logistics efficiency, and high quality of overall level of services. In contrast, an inefficient SC will bring additional transaction costs, information management costs, and resource waste, reduce the production capacity of all enterprises on the chain, and unsatisfactory customer relationships. So the evaluation of a SC is important for an enterprise to survive in a competitive market in a globalized business environment. Therefore, it is important to research the various methods, performance indicator systems, and technology for evaluating, monitoring, predicting, and optimizing the performance of a SC. A typical procedure of the performance evaluation (PE) of a SC is to use the established evaluation performance indicators, employ an analytical method, follow a given procedure, to carry out quantitatively or qualitatively comparative analysis to provide the objective and accurate evaluation of a SC performance in a selected operation period. Various research works have been carried out in proposing the performance indicator systems and methods for SC performance evaluations. But there are no widely accepted indicator systems that can be applied in practical SC performance evaluations due to the fact that the indicators in different systems have been defined without a common understanding of the meanings and the relationships between them, and they are nonlinear and very complicated.

Suggested Citation

  • Xuemei Fan & Shujun Zhang, 2016. "Performance Evaluation for the Sustainable Supply Chain Management," Chapters, in: Evelin Krmac (ed.), Sustainable Supply Chain Management, IntechOpen.
  • Handle: RePEc:ito:pchaps:102579
    DOI: 10.5772/63065
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    File URL: https://www.intechopen.com/chapters/51110
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    Cited by:

    1. Muhammad Ridwan Andi Purnomo & Adhe Rizky Anugerah & Bella Taradipa Dewipramesti, 2020. "Sustainable Supply Chain Management Framework in a Higher Education Laboratory using Intuitionistic Fuzzy Cognitive Map," Post-Print cirad-02907401, HAL.

    More about this item

    Keywords

    SCM; sustainability; performance evaluation; KPI; neural network; 5DBSC; LM-BP;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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