A new integrated approach based on base-criterion and utility additive methods and its application to supplier selection problem

Ayough, Ashkan; Shargh, Setareh Boshrouei; Khorshidvand, Behrooz

doi:10.1016/j.eswa.2023.119740

Cited by 17 publications

(2 citation statements)

References 53 publications

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“…Therefore, finding the most suitable supplier is a complicated, multi-criteria decision-making (MCDM) issue. To date, many scholars have applied different algorithms to address the complicated MCDM problem related to supplier selection (such as [1][2][3][4]).…”

Section: Introductionmentioning

confidence: 99%

Addressing Environmental Protection Supplier Selection Issues in a Fuzzy Information Environment Using a Novel Soft Fuzzy AHP–TOPSIS Method

Chung

Chang

Yao

2023

Systems

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With the current heightened promotion of environmental awareness, issues related to environmental protection have become a critical component of economic development. The emergence of new environment-friendly materials and simple packaging, and other environmental awareness demands in recent years, have prompted manufacturers to pay more attention to planning greener production and supply processes than before. Many scholars have been urged to investigate the issues related to environmental protection and the sustainable economy of green suppliers. However, many factors needed to be considered, such as the price, cost, benefit, reputation, and quality involved in the process of green supplier selection. These factors require quantitative and qualitative analysis information, making the issue of environmental protection a multi-criteria decision making (MDCM) problem. Traditional research methods are unable to effectively and objectively handle the MCDM problem of green supplier selection due to the problem’s complexity and the method’s inclination towards biased conclusions. To resolve the complicated problem of green supplier selection, this study combined the fuzzy analytic hierarchy process (AHP), the technique for order preference by similarity to ideal solution (TOPSIS), and the 2-tuple fuzzy linguistic model (2-tuple FLM) and corrected the ranking of the possible green suppliers. The computation results were also compared with the typical TOPSIS and AHP–TOPSIS methods. Through the numerical verification of the actual case for the green supplier, the test results suggested that the proposed method could perform an objective evaluation of expert-provided information while also retaining all their valuable insights.

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Section: Introductionmentioning

confidence: 99%

Addressing Environmental Protection Supplier Selection Issues in a Fuzzy Information Environment Using a Novel Soft Fuzzy AHP–TOPSIS Method

Chung

Chang

Yao

2023

Systems

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“…The main methods to deal with the supplier selection problems are mathematical programming [5], [6], intelligent techniques [7], [8], and multi-criteria decision-making (MCDM) [9], [10]. The mathematical planning model and intelligent technology model consider some comprehensive information and have good performance.…”

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confidence: 99%

Two Methods With Bidirectional Similarity for Optimal Selections of Supplier Portfolio and Supplier Substitute Based on TOPSIS and IFS

Wang,

Shi,

Yang

et al. 2024

IEEE Access

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The optimal selections of supplier portfolios and supplier substitutes are important research contents of the supplier selection problem. However, most of the existing supplier selection methods are based on the efficiency of indicator capability of supplier, the complementary capability (i.e., weak similarity) between suppliers for the supplier portfolio, and the substitution capabilities (i.e., strong similarity) of supplier substitutes for the best supplier may not be considered. Therefore, two new supplier selection models, namely TOPSIS-NS considering the negative influence of similarity for supplier portfolio selection and TOPSIS-PS considering the positive influence of similarity for supplier substitute selection, are proposed based on TOPSIS and intuitionistic fuzzy set (IFS). Firstly, the efficiency of indicator capability of supplier is expressed by the membership degree of IFS obtained by TOPSIS, while the similarity among suppliers is expressed by the nonmembership degree of IFS obtained by the concordance correlation coefficient. Then, the process of TOPSIS-NS for supplier portfolio selection is constructed based on the score function of IFS, and the supplier portfolio selected by TOPSIS-NS can have higher complementary capabilities. Furthermore, the process of TOPSIS-PS for supplier substitute selection is constructed based on the accuracy function of IFS, and the supplier substitute selected by TOPSIS-PS can have higher substitution capabilities. Finally, two illustrative examples for optimal selections of supplier portfolio and supplier substitute are given respectively, and the results show the superiority of TOPSIS-NS in supplier portfolio selection and TOPSIS-PS in supplier substitute selection.

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Decision-Making Framework for Supplier Selection Using an Integrated Approach of Dempster–Shafer Theory and Maximum Entropy Principle

Bisht,

Pal

2024

Lecture Notes in Networks and Systems

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A new integrated approach based on base-criterion and utility additive methods and its application to supplier selection problem

Cited by 17 publications

References 53 publications

Addressing Environmental Protection Supplier Selection Issues in a Fuzzy Information Environment Using a Novel Soft Fuzzy AHP–TOPSIS Method

Addressing Environmental Protection Supplier Selection Issues in a Fuzzy Information Environment Using a Novel Soft Fuzzy AHP–TOPSIS Method

Two Methods With Bidirectional Similarity for Optimal Selections of Supplier Portfolio and Supplier Substitute Based on TOPSIS and IFS

Decision-Making Framework for Supplier Selection Using an Integrated Approach of Dempster–Shafer Theory and Maximum Entropy Principle

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