Modelling and optimisation of reverse logistics network under fuzzy environment Online publication date: Wed, 13-Jul-2022
by Chandra Prakash Garg
International Journal of Operational Research (IJOR), Vol. 44, No. 3, 2022
Abstract: Resource recovery, environmental protection, sustainable production and consumption have got much attention in recent times because of growing ecological and social concern, economic issues and government regulations. In order to recover products, which include reuse, refurbishing, recycling and proper disposal of wastes that can help reduce their impact on environment, human and society, demands an effective reverse logistics (RL) network structure. In this paper, multi-product, multi-facility and multi-stage RL network is designed under uncertain environment and optimisation of the proposed network is analysed by fuzzy mixed integer linear programming (MILP) model with the aim of optimising total RL profit, quantity flows and facility locations. The proposed model is further supported by a numerical example of electronics products. Subsequently, the robustness of the model verifies the balanced relationship between the degree of feasibility and the degree of satisfaction of the management.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Operational Research (IJOR):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook