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Fuzzy MCDM for Improving the Performance of Agricultural Supply Chain

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datacite.subject.fos oecd::Social sciences::Economics and Business
dc.contributor.author Le Thi Diem My
dc.contributor.author Chia-Nan Wang
dc.contributor.author Nguyen Van Thanh
dc.date.accessioned 2022-10-25T04:28:25Z
dc.date.available 2022-10-25T04:28:25Z
dc.date.issued 2022
dc.description.abstract Fertilizer industry in Vietnam and globally have entered the saturation phase. With the growth rate slowing down, this poses challenges for the development impetus of the fertilizer industry in the next period. In fact, over the past few decades, Vietnam’s crop industry has abused excessive investment in chemical fertilizers, with organic fertilizers are rarely used or not at all, limiting crop productivity, increasing pests and diseases. To develop sustainable agriculture, Vietnam’s crop industry must limit the use of chemical fertilizers, increase the use of environmentally friendly organic and naturalmineral fertilizers to produce clean agricultural products which is safe. Therefore, it is necessary to consider and choose the right supplier to ensure the goal of sustainable development. Spherical Fuzzy Analytic Hierarchy Process (SF-AHP), and the combinative distance-based assessment (CODAS) are new Multicriteria Decision Making (MCDM) method which can be used to solve supplier selection problem. This paper uses an effective solution based on a combined the concept of triple bottom line (TBL), SF-AHP and CODAS approach to help agriculture companies that need to select the best fertilizer supplier. This research can support supply chain managers to achieve supply chain systems that reduce not only sourcing costs, but also develop sustainable agriculture.
dc.identifier.doi 10.32604/cmc.2022.030209
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/315
dc.language.iso en_US
dc.relation.ispartof Computers, Materials & Continua
dc.relation.issn 1546-2226
dc.subject "Fuzzy theory
dc.subject MCDM model
dc.subject fertilizer
dc.subject agricultural supply chain
dc.subject optimization"
dc.title Fuzzy MCDM for Improving the Performance of Agricultural Supply Chain
dc.type journal-article
dspace.entity.type Publication
oaire.citation.issue 2
oaire.citation.volume 73
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