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Perishable Inventory System with Server Interruptions, Multiple Server Vacations, and N Policy

Perishable Inventory System with Server Interruptions, Multiple Server Vacations, and N Policy

K. Jeganathan, N. Anbazhagan, B. Vigneshwaran
Copyright: © 2015 |Volume: 6 |Issue: 2 |Pages: 21
ISSN: 1947-9328|EISSN: 1947-9336|EISBN13: 9781466678002|DOI: 10.4018/ijoris.2015040103
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MLA

Jeganathan, K., et al. "Perishable Inventory System with Server Interruptions, Multiple Server Vacations, and N Policy." IJORIS vol.6, no.2 2015: pp.32-52. http://doi.org/10.4018/ijoris.2015040103

APA

Jeganathan, K., Anbazhagan, N., & Vigneshwaran, B. (2015). Perishable Inventory System with Server Interruptions, Multiple Server Vacations, and N Policy. International Journal of Operations Research and Information Systems (IJORIS), 6(2), 32-52. http://doi.org/10.4018/ijoris.2015040103

Chicago

Jeganathan, K., N. Anbazhagan, and B. Vigneshwaran. "Perishable Inventory System with Server Interruptions, Multiple Server Vacations, and N Policy," International Journal of Operations Research and Information Systems (IJORIS) 6, no.2: 32-52. http://doi.org/10.4018/ijoris.2015040103

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Abstract

This article presents a perishable inventory system under continuous review at a service facility in which a waiting area for customers is of finite size . The authors assume that the replenishment of inventory is instantaneous. The items of inventory have exponential life times. It is assumed that demand for the commodity is of unit size. The service starts only when the customer level reaches a prefixed level , starting from the epoch at which no customer is left behind in the system. The arrivals of customers to the service station form a Poisson process. The server goes for a vacation of an exponentially distributed duration whenever the waiting area is zero. If the server finds the customer level is less than when he returns to the system, he immediately takes another vacation. The individual customer is issued a demanded item after a random service time, which is distributed as negative exponential. The service process is subject to interruptions, which occurs according to a Poisson process. The interrupted server is repaired at an exponential rate. Also the waiting customer independently reneges the system after an exponentially distributed amount of time. The joint probability distribution of the number customers in the system and the inventory levels is obtained in steady state case. Some measures of system performance in the steady state are derived and the total expected cost is also considered. The results are illustrated with numerical examples.

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