Lot sizing in an unreliable manufacturing system with fuzzy demand and repair time Online publication date: Wed, 05-May-2010
by K.A. Halim, B.C. Giri, K.S. Chaudhuri
International Journal of Industrial and Systems Engineering (IJISE), Vol. 5, No. 4, 2010
Abstract: The paper deals with lot sizing in an unreliable production system which is subjected to machine breakdown and repair in an uncertain and imprecise mixed environment. The machine failure time is random and is assumed to follow an exponential probability distribution whereas the repair time is imprecise and is characterised by a triangular fuzzy number. Two mathematical models are proposed for the production system – one with crisp demand and fuzzy repair time and the other one with fuzzy demand and repair time. In each model, the expected cost per unit time is derived in the fuzzy sense and defuzzified by using signed distance method. The optimal lot sizing decisions are obtained numerically and a comparison with those of the crisp models is made.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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:
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