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Supply chain performance evaluation using fuzzy network data envelopment analysis: a case study in automotive industry

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Abstract

Supply chain performance evaluation problems are evaluated using data envelopment analysis. This paper proposes a fuzzy network epsilon-based data envelopment analysis for supply chain performance evaluation. In the common data envelopment analysis models which are used for evaluation of decision-maker units efficiency, there are several inputs and outputs. One of the bugs of such models is that the intermediate products and linking activities are overlooked. Considering these intermediate activities and products, the current study evaluates the performance of decision-maker units in an automotive supply chain. There are ten decision-maker units in the supply chain in which there are three suppliers, two manufacturers, two distributors, and four customers. Moreover, the overall efficiency of input-oriented (input-based) model and input-oriented divisional efficiency are calculated. In order to improve the efficiencies, the projections onto the frontiers are obtained by using the outputs of the solved model and Lingo software. In order to show the applicability of the proposed model, it is applied on automotive industry, as a case study, to evaluate supply chain performance. Then, the overall efficiencies of DMUs and each sections (divisions) of DMUs were calculated separately. Therefore, every organization can apply this evaluation method for improving the performance of alternative factors.

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Acknowledgements

The authors would like to thank the anonymous reviewers and the editor for their insightful comments and suggestions. The work funded by National Social Science Foundation of China. Grant Number: 14 BJL045; The Fundamental Research Funds for the Central Universities of China. Grant Number: 15CX05006B.

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Authors and Affiliations

  1. School of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, People’s Republic of China

    Yongbo Li

  2. Department of Information Technology Management, Kharazmi University, Tehran, Iran

    Amir-Reza Abtahi

  3. Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC, H3G 1M8, Canada

    Mahya Seyedan

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  1. Yongbo Li
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  2. Amir-Reza Abtahi
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  3. Mahya Seyedan
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Correspondence to Amir-Reza Abtahi.

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Li, Y., Abtahi, AR. & Seyedan, M. Supply chain performance evaluation using fuzzy network data envelopment analysis: a case study in automotive industry. Ann Oper Res 275, 461–484 (2019). https://doi.org/10.1007/s10479-018-3027-4

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