Optimizing Preventive Maintenance of Used Equipment for Lease Using Enumeration Algorithm
Fengshou Qian, Ke Dong*
School of Economics and Management, Anhui Radio & TV University, 398 Tongcheng Rd, Hefei, 230022, China
Abstract
Background:
With the progress of technology and people's awareness of environmental protection, more and more used equipment flows into the market. But the lessee is most concerned about the functionality and reliability of the equipment, because fault downtime and repair will lead to the loss of production.
Objective:
In order to solve this problem, we propose a maintenance scheme for the used equipment using fixed failure rate reduction method.
Method:
An efficient enumeration algorithm is given to derive the optimal PM policy.
Results:
In case study, the proposed policy is compared with the performance of other approach through examples.
Conclusions:
Numerical examples illustrate that the proposed maintenance strategy is practical and it can provide effective decision support for leasing company.
Keywords: Preventive maintenance, Minimal repair, Used equipment, Lease contract.
Article Information
Article History:
Received Date: 16/10/2016
Revision Received Date: 29/12/2016
Acceptance Date: 27/01/2017
Electronic publication date: 28/04/2017
Collection year: 2017
© 2017 Qian and Dong.
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (
https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
* Address correspondence to this author at the School of Economics and Management, Anhui Radio & TV University, 398 Tongcheng Rd, Hefei, 230022, China; Tel: 13721054899, 13339011752; E-mail: dongke@ahtvu.ah.cn
Open Peer Review Details |
Manuscript submitted on 16-10-2016 |
Original Manuscript |
Optimizing Preventive Maintenance of Used Equipment for Lease Using Enumeration Algorithm |