A smart decision making tool for cleaning process planning in remanufacturing
by Juan Carlos Martinez; Zhenhua Wu; Jianzhi Li; Miguel Gonzalez
International Journal of Rapid Manufacturing (IJRAPIDM), Vol. 9, No. 2/3, 2020

Abstract: Equipping stakeholders with advanced tools to make better decisions for sustainable production is a key to research in smart manufacturing in the 21st century. A smart decision tool to select the optimal cleaning processes for remanufacturing is presented in this paper. The approach started from formulating the process selection problem to a linear programming model to minimise the cost while observing the constraints of part cleaning level, processing time, and energy consumption. In order to model the vague and uncertain information associated with contamination, cost, time and energy consumption, fuzzy sets were applied. Finally, a genetic algorithm was proposed to search for the optimal solution to the mathematical model. Further, a software prototype was coded in MATLAB® to validate the proposed approach. Two case study results show that the proposed approach can overcome the deficiency on handling information vagueness and multiple objectives when searching for optimal cleaning solutions in remanufacturing. The proposed approach is systematic; it can be integrated into process planning in remanufacturing.

Online publication date: Thu, 11-Jun-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 International Journal of Rapid Manufacturing (IJRAPIDM):
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