Modelling a decision-making network for sustainable manufacturing strategy
by Lanndon A. Ocampo; Eppie E. Clark; Anthony S.F. Chiu; Raymond R. Tan
Progress in Industrial Ecology, An International Journal (PIE), Vol. 14, No. 1, 2020

Abstract: This paper develops an approach that explores the impact of stakeholders' interests in developing a sustainable manufacturing strategy. Manufacturing firms are faced with the challenge of integrating sustainability with the classical function of manufacturing. To integrate these two objectives is to take into consideration different stakeholders' interests as significant drivers toward sustainability. This work explores the significance of these interests in developing a manufacturing strategy using the proposed probabilistic fuzzy analytic network process. The method handles the complexity of the decision framework and judgment elicitation in pairwise comparisons is described using linguistic variables with equivalent triangular fuzzy numbers. Probability theory is then used to merge the judgments of multiple decision-makers. The method is useful for handling complexity and uncertainty in group decision-making. Results show the content of the sustainable manufacturing strategy. Insights and future works are also discussed.

Online publication date: Fri, 14-Feb-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the Progress in Industrial Ecology, An International Journal (PIE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com