TY - JOUR
T1 - A Joint Inspection-Based Preventive Maintenance and Spare Ordering Optimization Policy Using a Three-Stage Failure Process
AU - Zhao, Fei
AU - Xie, Fengfeng
AU - Shi, Chenghua
AU - Kang, Jianshe
N1 - Funding Information:
This research report is partially supported by the NSFC (71701038, 71701037, and 71601019), China Ministry of Education Humanities and Social Sciences Research Youth Fund Project (16YJC630174), the Fundamental Research Funds for the Central Universities of China (N152303004), Hebei Province High School Science and Technology Research Project (QN2017104), Hebei Province Soft Science Research Planning Project (16457402D), and the Fundamental Research Funds for Northeastern University at Qinhuang-dao (XNB201616).
Funding Information:
This research report is partially supported by the NSFC (71701038, 71701037, and 71601019), China Ministry of Education Humanities and Social Sciences Research Youth Fund Project (16YJC630174), the Fundamental Research Funds for the Central Universities of China (N152303004), Hebei Province High School Science and Technology Research Project (QN2017104), Hebei Province Soft Science Research Planning Project (16457402D), and the Fundamental Research Funds for Northeastern University at Qinhuangdao (XNB201616).
Publisher Copyright:
© 2017 Fei Zhao et al.
PY - 2017
Y1 - 2017
N2 - Separated decision-making for maintenance and spare ordering is unrealistic in the industry, so this paper aims to optimize them together. A joint policy of inspection-based preventive maintenance (PM) and spare ordering considering two modes of spare ordering, namely, a regular order and an emergency order, is proposed for single-unit systems using a three-stage failure process. If the system is recognized to be in the minor defective stage, the original inspection interval is shortened and a regular order is placed. However, replacement is undertaken preventively or correctively if the severe defective stage is identified or a failure occurs. Depending on the system state and the state of the regular ordered spare when replacement is needed, all possible scenarios are considered to construct optimization model I. The decision variables are the optimal inspection interval and the times of shortening the original inspection interval. Additionally, model II on the basis of an assumption that the spare is always ordered at time 0 is also developed. The results from a numerical example illustrated the applicability and the effectiveness of model I compared to model II, and the irregular inspection policy is validated to be cost-saving compared to the regular inspection policy.
AB - Separated decision-making for maintenance and spare ordering is unrealistic in the industry, so this paper aims to optimize them together. A joint policy of inspection-based preventive maintenance (PM) and spare ordering considering two modes of spare ordering, namely, a regular order and an emergency order, is proposed for single-unit systems using a three-stage failure process. If the system is recognized to be in the minor defective stage, the original inspection interval is shortened and a regular order is placed. However, replacement is undertaken preventively or correctively if the severe defective stage is identified or a failure occurs. Depending on the system state and the state of the regular ordered spare when replacement is needed, all possible scenarios are considered to construct optimization model I. The decision variables are the optimal inspection interval and the times of shortening the original inspection interval. Additionally, model II on the basis of an assumption that the spare is always ordered at time 0 is also developed. The results from a numerical example illustrated the applicability and the effectiveness of model I compared to model II, and the irregular inspection policy is validated to be cost-saving compared to the regular inspection policy.
UR - http://www.scopus.com/inward/record.url?scp=85038919242&partnerID=8YFLogxK
U2 - 10.1155/2017/8319485
DO - 10.1155/2017/8319485
M3 - Article
SN - 1076-2787
VL - 2017
JO - Complexity
JF - Complexity
M1 - 8319485
ER -