Joint determination of production cycle and preventive maintenance schedule for an imperfect production system under stochastic demand

Abdulrahman R. Alenezi and Mohammed J. Alkhedher

International Journal of Operational Research, 2016, vol. 26, issue 3, 323-339

Abstract: This paper deals with integrating lot-sizing decisions in stochastic continuous review inventory control model and preventive maintenance (PM) decisions for an imperfect process having a general deterioration distribution with increasing hazard rate. The demand on the produced item is a random variable that follows a normal distribution. Furthermore, the production process under consideration is imperfect, that is, it may fail at any point in time during the production run. If it suddenly fails while engaged in production, the process is minimally repaired without affecting its age. In order to reduce the occurrences of such sudden failures, preventive maintenance (PM) is carried out at certain intervals of time during the production run. The PM policy considered here reduces the age of the process by a certain amount depending on the cost of PM conducted. The objective of the model is to determine the optimal lot size and maintenance schedule such that the expected total cost is minimised.

Keywords: preventive maintenance; minimal repair; lot sizing; random demand; production cycle; scheduling; imperfect production systems; stochastic demand; stochastic continuous review; inventory control; inventory modelling. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=76884 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:26:y:2016:i:3:p:323-339

Access Statistics for this article

More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().