Window Fill Rate with Compound Arrival and Assembly Time

Michael Dreyfuss () and Yahel Giat ()
Additional contact information
Michael Dreyfuss: Jerusalem College of Technology
Yahel Giat: Jerusalem College of Technology

A chapter in Operations Research Proceedings 2017, 2018, pp 677-683 from Springer

Abstract: Abstract Exchangeable-item repair systems are inventory systems in which customers receive operable items in exchange of the failed items they brought. The failed items are not discarded, but instead, they are repaired on site. We consider such a system in which failed items arrival follows a Compound Poisson process and in which the item removal and installation times may be positive. For this system, we develop exact formulas for the window fill rate, that is, the probability that customers receive service within a specific time window. This service measure is appropriate in situations that customers tolerate a certain delay and therefore the system does not incur reputations costs if it completes service within this time window.

Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:oprchp:978-3-319-89920-6_90

Ordering information: This item can be ordered from
http://www.springer.com/9783319899206

DOI: 10.1007/978-3-319-89920-6_90

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().