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68olui
Journal of Cleaner Production
Evaluating firm's green supply chain management in
linguisticpreferences
Ming-Lang Tsenga, , , Anthony S.F. Chiub a Graduate School of
Business & Management, Lung Hwa University of Science &
Technology, Taiwan b Department of Industrial Engineering, De La
Salle University, Philippines
http://dx.doi.org/10.1016/j.jclepro.2010.08.007,How to Cite or Link
Using DOI Permissions & Reprints
Abstract
There has been an increasing interest towards firms'
environmental sustainability activities to improve practices in
their supply chain. Stringent
environmental regulations in Europe and US challenge
manufacturers to comply with these without losing their
competitiveness. This study illustrates
the case of a printed circuit board manufacturer in Taiwan that
seeks to implement green supply chain management (GSCM) and selects
a green
supplier to meet its requirements. Choosing the suitable
supplier is a key strategic direction in eliminating environmental
impact on supply chain
management for manufacturing firms. The firm's criteria and
supplier selection need to be unified as a system to improve the
firm's performance. This
study identified the appropriate environmental and
non-environmental GSCM criteria for the case firm and developed the
following selection method: (i)
evaluate the weights of criteria and alternatives as described
both by qualitative and quantitative information; and (ii) rank
alternative suppliers using agrey relational analysis. The result
shows Alternative 3 ranks first among the four evaluated suppliers
and demonstrated strong performance in the top
three important criteria, namely, environmental management
systems, profitability of supplier and relationship supplier
closeness. Additionally, the
perception weights on criteria itself are same as the most top
five in weighted alternative.
Keywords
Grey relational analysis; Fuzzy set theory; Green supply chain
management
Figures and tables from this article:
Fig. 1. Hierarchical structure.
Figure options
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Fig. 2. A TFN A = (l, m, u).
Figure options
Table 1. Two linguistic variables for criteria and alternatives
(importance and performance level).
View Within ArticleTable 2. Example of fuzzy synthetic
evaluation.
View Within ArticleTable 3. C for GRA input table andcriteria
weights.
View Within ArticleTable 4. Results of grey relational
generating for supplier alternatives.
View Within ArticleTable 5. Results of grey relational
coefficient.
View Within ArticleTable 6. The final result of optimal supplier
and GSCM criteria ranking.
Note: is presented the optimal selection.
View Within Article
Corresponding author. Tel.: +886910309400.
Copyright 2010 Elsevier Ltd. All rights reserved.
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