Green supplier selection and order allocation using linguistic Z-numbers MULTIMOORA method and bi-objective non-linear programming

Ling Gai (), Hu-chen Liu (), Yanjun Wang () and Yuping Xing ()
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Ling Gai: Donghua University
Hu-chen Liu: Tongji University
Yanjun Wang: Shanghai University
Yuping Xing: Donghua University

Fuzzy Optimization and Decision Making, 2023, vol. 22, issue 2, No 5, 267-288

Abstract: Abstract Supplier selection and order allocation are major tasks to companies in green supply chain management. Most literatures consider these two tasks as independent sub-problems. In this paper, we propose an integrated two-stage multiple criteria programming approach to solve them systematically. The approach includes both quantitative and qualitative analyses. In the first stage, an MULTIMOORA method based on linguistic Z-Numbers is employed to rank the green suppliers under multiple qualitative criteria (but that is not the final decision). In the second stage, the ranking result is input to a bi-objective non-linear integer programming model. The model then determines the suppliers selected and the quantity of order allocated to them. Furthermore, the model should determine the configuration of the productions because different configuration implies different resource needed. We present the comparative result with other quantitative methods. An illustrative example proves that our proposed model can achieve the desired consistency among objectives.

Keywords: Multi-objective decision making; Green supplier selection; Order allocation; MULTIMOORA; Integer programming model (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10700-022-09392-1

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