Evaluation method of path selection for smart supply chain innovation

Weihua Liu (), Siyu Wang () and Jingkun Wang ()
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Weihua Liu: Tianjin University
Siyu Wang: Tianjin University
Jingkun Wang: Tianjin University

Annals of Operations Research, 2023, vol. 322, issue 1, No 8, 167-193

Abstract: Abstract The smart supply chain innovation (SSCI) has become the key way for enterprises to enhance their competitiveness. Therefore, it is very important for the current supply chain enterprises to choose a reasonable innovation path. Through the literature review method, this paper summarizes the four main evaluation indicators of path selection for smart supply chain innovation, which are technical indicators, organizational environment indicators, operational efficiency indicators, risk prevention and control indicators. According to the characteristics of evaluation index, the improved Fuzzy Entropy-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is proposed. This method considers the situation that the original data contains both interval value and fixed value data. Firstly, the standardized decision matrix is constructed, and then the optimal index weight is established by Fuzzy Entropy method. Secondly, this paper calculates the weighted decision matrix by using the method of sub item weighting of hierarchical indicators. Finally, the improved TOPSIS method is used to determine the relative closeness of each scheme. According to the weighted decision matrix, the innovation path index of the smart supply chain (SSC) is further calculated. We use the actual case of a company to analyze the evaluation method for three different SSCI paths. This paper provides a reference for the path selection of SSCI from the aspects of theory and practice.

Keywords: Smart supply chain innovation; Innovation path; Path evaluation; Fuzzy entropy-TOPSIS method; Evaluation index system (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10479-021-04031-1

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