Title :
Notice of Retraction
Managing performance based contract of repairable system under three replacement policies
Author :
Jian-She Kang ; Xing-Hui Zhang ; Jin-Song Zhao ; Hong-Zhi Teng
Author_Institution :
Ordnance Eng. Coll., Shijiazhuang, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper investigates a discrete event simulation approach for planning performance based contract of repairable system. We focus on an integrated service delivery environment where the manufacturer develops capital-intensive systems and also provides after-sales support. We propose a simulation model to calculate system availability comprehending three performance drivers: life time distribution, repair time distribution, and spare parts inventory. This simulation model allows the service supplier to minimize the total cost across optimizing the system design, maintenance time, and spare part inventory level. In this simulation model, the failure time and repair time can follow arbitrary distribution. This will allow the customer to monitor the supplier´s service through comparing the actual availability and theory availability. The expected costs per unit time under three replacement policies also are compared.
Keywords :
Monte Carlo methods; contracts; cost reduction; discrete event simulation; inventory management; maintenance engineering; after-sales support; capital-intensive systems; discrete event simulation approach; failure time; integrated service delivery environment; life time distribution; maintenance time; performance based contract management; performance based contract planning; repair time distribution; repairable system; spare parts inventory; system design optimization; three replacement policies; Availability; Contracts; Logistics; Maintenance engineering; Monte Carlo methods; Weapons; availability; discrete event simulation; performance-based logistics; spare parts;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625682