Publication:
Fuzzy MCDM for Improving the Performance of Agricultural Supply Chain
Fuzzy MCDM for Improving the Performance of Agricultural Supply Chain
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Date
2022
Authors
Le Thi Diem My
Chia-Nan Wang
Nguyen Van Thanh
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Research Projects
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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.
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Keywords
"Fuzzy theory,
MCDM model,
fertilizer,
agricultural supply chain,
optimization"