Authors:
Amy H. I. Lee
1
;
He-Yau Kang
2
;
Chun Yu Lin
1
and
Hsin Wei Wu
1
Affiliations:
1
Chung Hua University, Taiwan
;
2
National Chin-Yi University of Technology, Taiwan
Keyword(s):
Suppliers, Low-Carbon, Fuzzy Analytic Network Process, Fuzzy Set.
Related
Ontology
Subjects/Areas/Topics:
Industrial Engineering
;
Informatics in Control, Automation and Robotics
;
Performance Evaluation and Optimization
Abstract:
Under a conventional supplier evaluation, cost, on-time delivery and quality are treated as the most important factors. However, in today’s increasingly environmental conscious market with growing demands of green products, more and more firms are aiming to manufacture green products to reduce the damage to the environment and to limit the use of energy and other resources at any stage of its life, including raw materials, manufacture, use, and disposal. Thus, a firm needs to select the right suppliers that not only can satisfy the basic requirements, such as cost and quality, but also can provide green and low-carbon materials. The goal of this research is to construct a green and low-carbon supplier evaluation model. The criteria to evaluate green and low-carbon suppliers are analyzed first, and the most important ones are selected. Fuzzy analytic network process (FANP) model is constructed to evaluate various aspects of suppliers. By applying the model, the manufacturer can
find the most suitable suppliers for cooperation. Goal programming (GP) is applied next to allocate the most appropriate amount of orders to each of the selected suppliers.
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