DocumentCode :
2607038
Title :
Prioritization of competitive priority in cleaner production implementation
Author :
Lin, Y.H. ; Tseng, M.L. ; Chiang, J.H. ; Chen, Y.M.
Author_Institution :
Ming-Dao Univ., Taipei
fYear :
2007
fDate :
2-4 Dec. 2007
Firstpage :
104
Lastpage :
108
Abstract :
The aim of this paper is to identify the cleaner production implementation of a manufacturing firm to select the competitive priority in environmental uncertainty. The research methodology employed was fuzzy analytic hierarchy process. It proved to be an efficient tool in handling the fuzziness of the data involved in deciding the preferences of different criteria in order to select the alternatives. Each comparison is converted in the form of triangular fuzzy numbers to construct fuzzy pairwise comparison matrices. The different decision criteria involved in the prioritization of the alternatives in the case firm was discussed in relation to available literature and experts´ opinions. The proposed model, from literature, can provide a framework for the organization to prioritize the competitive priority in cleaner production implementation. The research finding shows that the study firm should choose flexibility as major competitive priority under environmental uncertainty.
Keywords :
decision making; environmental management; fuzzy set theory; manufacturing systems; matrix algebra; product development; cleaner production implementation; competitive priority prioritization; environmental uncertainty; fuzzy analytic hierarchy process; fuzzy pairwise comparison matrices; manufacturing firm; triangular fuzzy numbers; Environmental management; Equations; Humans; Matrix converters; Product development; Production; Project management; Pulp manufacturing; Social factors; Uncertainty; Cleaner production; competitive priority; fuzzy analytic hierarchy process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1529-8
Electronic_ISBN :
978-1-4244-1529-8
Type :
conf
DOI :
10.1109/IEEM.2007.4419160
Filename :
4419160
Link To Document :
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