Computing sustainable manufacturing index with fuzzy analytic hierarchy process

• Main Authors: Ocampo, Lanndon A., Clark, Eppie E., Promentilla, Michael Angelo B.
• Format: text
• Published: Animo Repository 2016
• Subjects: Sustainability; Lean manufacturing; Multiple criteria decision making; Business Administration, Management, and Operations
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1671; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2670/type/native/viewcontent
• Institution: De La Salle University

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. © 2016 Informa UK Limited, trading as Taylor & Francis Group.