Imperfect EPQ model for substitutable products with pollution costs under uncertain planning horizon
by Raghu Nandan Giri; Shyamal Kumar Mondal; Manoranjan Maiti
International Journal of Operational Research (IJOR), Vol. 49, No. 2, 2024

Abstract: The investigation determines optimal pricing decision, greening level, production rate, and cycle length of two substitutable products in an imperfect production process over an uncertain planning horizon, which is taken as random, fuzzy, and rough for maximum profit. Here, products are manufactured and simultaneously defective items are detected during the screening process in the 'out-of-control' state at a random proportion of production rate, which are instantly reworked. The unit production cost is accounted for raw material, labour and energy, greening investment, and wear and tear costs. The carbon emission in the production process due to manufacturing, setup of the production system, and holding of items is considered in the model formulation. Also, the learning effects on the setup and maintenance and operating costs are introduced. The profit maximisation problem with some constraints is solved using a genetic algorithm with variable population and realistic suggestions for the managers are presented.

Online publication date: Wed, 07-Feb-2024

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 Operational Research (IJOR):
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