Development of a sustainable manufacturing strategy using analytic network process

This work explores the implementation of analytic network process (ANP) in developing a sustainable manufacturing strategy. Previous works fell short of addressing the need of developing a manufacturing strategy that simultaneously incorporates the demands of sustainability. Manufacturing strategy a...

Full description

Saved in:
Bibliographic Details
Main Authors: Ocampo, Lanndon A., Promentilla, Michael Angelo B.
Format: text
Published: Animo Repository 2016
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1679
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2678/type/native/viewcontent
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Description
Summary:This work explores the implementation of analytic network process (ANP) in developing a sustainable manufacturing strategy. Previous works fell short of addressing the need of developing a manufacturing strategy that simultaneously incorporates the demands of sustainability. Manufacturing strategy and sustainable manufacturing has been approached in the literature as two different concepts with having limited works done that holistically incorporate them. Thus, a proposed problem structure is developed that attempts to integrate these two concepts. The key aspect of the proposed framework is the explicit incorporation of stakeholders' interests in the strategy development process. Due to the number of decision components and their inherent relationships that must be simultaneously addressed in developing a sustainable manufacturing strategy, ANP is used in this work. This work is aimed at: 1) identifying the content of a sustainable manufacturing strategy that integrates sustainability and classical manufacturing strategy; 2) demonstrating the applicability of ANP in the complex manufacturing strategy formulation process. A Monte Carlo simulation is also implemented to check the robustness of the ANP results. Managerial insights and future work were also discussed. © Copyright 2016 Inderscience Enterprises Ltd.