An optimisation approach for finding an optimal pricing in a hybrid manufacturing/remanufacturing system
by Ankita Ray; Sandeep Mondal
International Journal of Industrial and Systems Engineering (IJISE), Vol. 29, No. 1, 2018

Abstract: Hybrid manufacturing/remanufacturing in closed loop manufacturing system (CLMS) has gained considerable attention in industry over past few years due to environmental concern. Remanufacturing of used products basically includes activities like acquisition of used product, reverse logistics, cleaning, inspection, reassembly, disposal of unused material, and remarketing. Determination of selling prices of remanufactured product is also complex and an important decision making area as the profitability of remanufacturing business is significantly dependent on it. Under the above circumstances in this research paper, a profit-maximisation model is developed to optimise selling price of new products and used products using genetic algorithm. OEM (original equipment manufacturer) sells remanufactured products in place of brand new products as there is no quality difference between them and also sells refurbished products and spare parts into secondary market. In this paper a numerical example and sensitivity analysis has been performed.

Online publication date: Tue, 01-May-2018

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 Industrial and Systems Engineering (IJISE):
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