Computing sustainable manufacturing index with fuzzy analytic hierarchy process

The growing industrial interest in adopting sustainability programmes has ushered in studies regarding sustainability indicators which have continually flourished in current literature. However, limited attention is given to the development of priority ranking, which is an important input for any ad...

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Bibliographic Details
Published in:International journal of sustainable engineering 2016-09, Vol.9 (5), p.305-314
Main Authors: Ocampo, Lanndon A., Clark, Eppie E., Promentilla, Michael Angelo B.
Format: Article
Language:English
Subjects:
Analytic hierarchy process
Computation
Decision making
environment
Fuzzy
fuzzy set theory
Fuzzy sets
Polymers
Priorities
Strategy
Sustainability
Sustainable development
Sustainable manufacturing index
triple-bottom line
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Summary:The growing industrial interest in adopting sustainability programmes has ushered in studies regarding sustainability indicators which have continually flourished in current literature. However, limited attention is given to the development of priority ranking, which is an important input for any adopting firm. This paper presents a hybrid multi-criteria approach in determining priority areas in sustainable manufacturing (SM). Using fuzzy analytic hierarchy process to address uncertainty in hierarchical decision-making, this paper determines SM priority strategies and eventually identifies even lower level strategies. The computed sustainable manufacturing index is presented at both the organizational and operational levels for a real case study of an industrial plastic manufacturing firm. This work provides a detailed and transparent hierarchical decision-making approach based on SM framework, the use of which could be valuable to practicing managers across industries in their pursuit of greater sustainability.
ISSN:1939-7038
1939-7046
DOI:10.1080/19397038.2016.1144828