Goal-based approach for environmentally sustainable stochastic procurement problem
by Harpreet Kaur; Surya Prakash Singh
International Journal of Services and Operations Management (IJSOM), Vol. 30, No. 2, 2018

Abstract: Due to volatile business environment, manufacturing firms regularly face huge challenges in adapting to market uncertainties, increased competition and environmental legislations imposed by governments. Therefore, there is a need to capture the uncertainties in various parameters while keeping firm's own interest of maximising profitability by minimising overall costs. This paper considers a multi period procurement problem of a firm operating in a carbon sensitive and uncertain business environment procuring multiple items from multiple vendors using multiple carriers. The firm is having limited carbon quota exceeding which carbon credits must be bought. The paper proposes a goal-based approach for environmentally sustainable procurement problem (Goal_ESSP). The Goal_ESSP model addresses the firm's interests by putting various targets as goals and establishing an optimal trade-off among various goal targets. The proposed Goal_ESSP model considers stochastic parameter to capture uncertainties. Finally, the Goal_ESSP model is demonstrated using three illustrations which are solved in LINGO 10.

Online publication date: Mon, 21-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 Services and Operations Management (IJSOM):
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