Application of tolerance approach to fuzzy goal programming to aggregate production planning
by Mohammed Mékidiche; Hocine Mouslim; Abdelkader Sahed
International Journal of Mathematics in Operational Research (IJMOR), Vol. 5, No. 2, 2013

Abstract: This study presents the application of a tolerance approach to the fuzzy goal programming (FGP) developed by Kim and Whang (1998) and revised by Yaghoobi and Tamiz (2007-a) to aggregate production planning (RKW-APP) in a state-run enterprise of iron manufactures non-metallic and useful substances (Société des bentonites d'Algérie-BENTAL). The proposed formulation attempts to minimise total production and work force costs, inventory carrying costs and costs of changes in labour levels. A real-world industrial case study in demonstrating the applicability of the suggested model to practical APP decision problems is also given. The LINGO computer package has been used to solve the final crisp linear programming problem package and get an optimal production plan.

Online publication date: Mon, 31-Mar-2014

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 Mathematics in Operational Research (IJMOR):
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