DocumentCode :
233375
Title :
Strategic responses decision model in developing a sustainable manufacturing strategy
Author :
Ocampo, Lanndon ; Clark, Eppie ; Tanudtanud, Kae Vines
Author_Institution :
Dept. of Ind. Eng., De La Salle Univ., Manila, Philippines
fYear :
2014
fDate :
12-16 Nov. 2014
Firstpage :
1
Lastpage :
5
Abstract :
This work presents a decision model that highlights the integration of manufacturing strategy and sustainability with strategic responses as a significant component. Due to the complexity and uncertainty of the decision components and elements derived from literature, a proposed hybrid MCDM approach in the form of an integrated probabilistic fuzzy analytic network process (PROFUZANP) is presented. In the proposed method, analytic network process (ANP) handles complexity of the decision model. Fuzzy set theory is used to describe vagueness in decision-making which is carried out by eliciting judgment in pairwise comparisons using linguistic variables with corresponding triangular fuzzy numbers (TFNs). Probability theory is used to handle randomness when aggregating experts´ judgments. Results are reported in this paper. Insights were also discussed.
Keywords :
decision making; fuzzy set theory; manufacturing systems; sustainable development; PROFUZANP process; TFN; decision components; decision elements; fuzzy set theory; hybrid MCDM approach; integrated probabilistic fuzzy analytic network process; linguistic variables; pairwise comparison; probability theory; strategic response decision model; sustainable manufacturing strategy; triangular fuzzy numbers; Decision making; Manufacturing; Mathematical model; Pragmatics; Process control; Uncertainty; Sustainable manufacturing strategy; analytic network process; fuzzy sets; probability; strategic responses;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2014 International Conference on
Conference_Location :
Palawan
Print_ISBN :
978-1-4799-4021-9
Type :
conf
DOI :
10.1109/HNICEM.2014.7016191
Filename :
7016191
Link To Document :
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