Modelling sustainable procurement problem: a goal-based approach
by Harpreet Kaur; Surya Prakash Singh
International Journal of Operational Research (IJOR), Vol. 35, No. 4, 2019

Abstract: Sustainable procurement problem not only considers traditional parameters such as purchasing cost, ordering cost, holding cost, and logistics cost but also considers non-traditional parameters such as carbon emission cost, thus, making it a multi-objective optimisation problem. However, in competitive business scenario, organisations have also some set targets for various traditional and non-traditional parameters making the procurement process a goal oriented one. These goals in turn make the overall procurement problem conflicting while the organisation tries to achieve all these goals with minimum deviations. Therefore, this paper is a novel attempt to optimise multi-objective sustainable procurement problem (MoSPP) in presence of various goals using goal programming approach and is referred as Multi_Goal_SPP. The goals for goal programming formulation are computed through MoSPP. The methodology is demonstrated through two illustrative examples solved in LINGO 10. Multi_Goal_SPP establishes optimal trade-off between conflicting goals set by organisation. The proposed model ensures the minimum total deviation from goals required to meet specified demand.

Online publication date: Sun, 11-Aug-2019

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