Joint repair sourcing and stocking policies for repairables using Erlang-A and Erlang-B queueing models
Shimon Bitton,
Izack Cohen and
Morris Cohen
IISE Transactions, 2019, vol. 51, issue 10, 1151-1166
Abstract:
This research focuses on minimizing the life cycle cost of a fleet of aircraft. We consider two categories of repairable parts; upon failure of a first category part (No-Go part), its aircraft becomes non-operational but when a second category part (Go part) fails, the aircraft can still operate for a predetermined period of time before it becomes non-operational. In either case, to minimize aircraft downtime, the failed part has to be replaced with one from the good part inventory, returned from the repair facility or through exchange from a supplier—an emergency sourcing mechanism which is common in the airline industry. Motivated by the observation that a modern aircraft contains a significant fraction of Go parts (estimated at 50% of all repairable parts), we develop a strategic model to decide on stocking and sourcing policies using Erlang-A and Erlang-B queueing models. The suggested model provides an alternative to existing models that typically consider only failed parts that immediately cause a system to be non-operational, and do not consider an emergency sourcing mechanism. A realistic implementation of the model for a fleet of Boeing 737 aircraft, based on a list of 2,805 part types, demonstrates that significant cost savings may be achieved by explicitly modeling Go parts.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/24725854.2018.1560752 (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:taf:uiiexx:v:51:y:2019:i:10:p:1151-1166
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/uiie20
DOI: 10.1080/24725854.2018.1560752
Access Statistics for this article
IISE Transactions is currently edited by Jianjun Shi
More articles in IISE Transactions from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().