Publication:
Sustainable Supplier Selection Model in Supply Chains During the COVID-19 Pandemic
Sustainable Supplier Selection Model in Supply Chains During the COVID-19 Pandemic
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Date
2022
Authors
Chia-Nan Wang
Chao-Fen Pan
Viet Tinh Nguyen
Syed Tam Husain
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Publisher
Research Projects
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Abstract
As global supply chains become more developed and complicated,
supplier quality has become increasingly influential on the competitiveness of
businesses during the Covid-19 pandemic. Consequently, supplier selection is
an increasingly important process for any business around the globe. Choosing
a supplier is a complex decision that can result in lower procurement costs
and increased profits without increasing the cost or lowering the quality of
the product. However, these decision-making problems can be complicated in
caseswithmultiple potential suppliers.Vietnam’s textile and garment industry,
for example, has made rapid progress in recent years but is still facing great
difficulties as the supply of raw materials and machinery depends heavily on
foreign countries. Therefore, it is extremely important for textile and garment
manufacturing companies in Vietnam to implement an effective supplier evaluation
and selection process. While multicriteria decision-making models are
frequently employed to assist with supplier evaluation and selection problems,
few of these models consider the problem under the condition of a fuzzy
decision-making environment. The aim of this paper is to create a hybrid
MCDM model using the Fuzzy Analytical Hierarchy Process (FAHP) model
and the Technique for Order of Preference by Similarity to Ideal Solution
(TOPSIS) to assist the supplier selection process in the garment industry in a
fuzzy decision-making environment. In this study, the FAHP method is used
to evaluate the performance and the weight of each criterion. TOPSIS is then
used to rank all potential suppliers. The proposed model is then applied to a
real-world case study to demonstrate both the process of calculation as well as
its real-world applicability. The results from the case study provide empirical
evidence that the model is feasible. The proposed approach can also be used
in combination with other MCDM models to better support decision makers
and can be modified to be applied in similar supplier selection processes for
different industries.
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Keywords
"MCDM model,
FAHP,
fuzzy theory,
TOPSIS,
garment industry,
covid-19"