Green Supply Chain Optimization with Fuzzy MCDM for Economic Growth

An in-depth investigation into Green Supply Chain Management (GSCM) practices is presented, delineating their economic impact. The research applies fuzzy logic within a Multi-Criteria Decision-Making (MCDM) framework to systematize the evaluation and advancement of green practices in supply chains....

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Bibliographic Details
Published inInternational journal of simulation modelling Vol. 22; no. 4; pp. 690 - 700
Main Author Li, Q.
Format Journal Article
LanguageEnglish
Published Vienna DAAAM International Vienna 01.12.2023
Subjects
Economic development
Economic impact
Fuzzy logic
Image enhancement
Impact analysis
Linear programming
Multiple criterion
Supply chains
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Summary:An in-depth investigation into Green Supply Chain Management (GSCM) practices is presented, delineating their economic impact. The research applies fuzzy logic within a Multi-Criteria Decision-Making (MCDM) framework to systematize the evaluation and advancement of green practices in supply chains. The integration of fuzzy logic with MCDM is posited to refine the precision of evaluations. The approach centres on the assessment of green suppliers using a linear programming-based fuzzy Multi-Attributive Border Approximation area Comparison (MABAC) method. The study advances the discourse on GSCM by quantifying the economic merits, namely cost efficiency, market productivity enhancement, and brand image improvement. Evidence from practical applications substantiates the dual benefits of GSCM in bolstering environmental sustainability and generating significant economic gains. 32 refs.
ISSN:1726-4529
1726-4529
DOI:10.2507/IJSIMM22-4-CO16