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A Sustainable Manufacturing Strategy from Different Strategic Responses under Uncertainty
Author(s) -
Lanndon Ocampo,
Eppie Clark,
Kae Vines Tanudtanud
Publication year - 2015
Publication title -
journal of industrial engineering
Language(s) - English
Resource type - Journals
eISSN - 2314-4890
pISSN - 2314-4882
DOI - 10.1155/2015/210568
Subject(s) - multiple criteria decision analysis , vagueness , analytic network process , pairwise comparison , computer science , fuzzy logic , context (archaeology) , fuzzy set , process (computing) , probabilistic logic , management science , stakeholder , sustainability , randomness , operations research , set (abstract data type) , process management , analytic hierarchy process , artificial intelligence , mathematics , engineering , economics , paleontology , ecology , statistics , management , biology , operating system , programming language
This paper presents a decision framework that highlights the integration of manufacturing strategy (MS) and sustainability along with strategic responses as a significant component. This integration raises complexity and uncertainty in decision-making following the number of subjective components with their inherent relationships that must be brought into context and the huge amount of required information in eliciting judgments. Thus, a proposed hybrid multicriteria decision-making (MCDM) approach in the form of an integrated probabilistic fuzzy analytic network process (PROFUZANP) is adopted in this work. In this method, analytic network process (ANP) serves as the main framework in identifying policy options of manufacturing strategy. Fuzzy set theory (FST) is used to describe vagueness in decision-making which is carried out by eliciting judgments in pairwise comparisons using linguistic variables with corresponding triangular fuzzy numbers (TFNs). Probability theory is used to handle randomness in aggregating judgments of multiple decision-makers. Results show that a stakeholder-oriented approach is considered the most relevant strategic response in developing a sustainable manufacturing strategy. The contribution of this work lies in identifying the policies which constitute a sustainable manufacturing strategy using an integrated MCDM approach under uncertainty

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