Joint optimization of performance-based contracting, condition-based maintenance and spare parts inventory for degrading production systems

被引:14
作者
Wang, Yukun [1 ]
Gao, Weizheng [1 ]
Li, Xiaopeng [2 ]
Liu, Yiliu [3 ]
机构
[1] Tianjin Chengjian Univ, Sch Econ & Management, Tianjin, Peoples R China
[2] Nanjing Univ Finance & Econ, Sch Management Sci & Engn, Nanjing, Peoples R China
[3] Norwegian Univ Sci & Technol, Dept Mech & Ind Engn, Trondheim, Norway
基金
中国国家自然科学基金;
关键词
Performance-based contracting; Condition-based maintenance; Spare parts inventory; Joint optimization; Production systems; RELIABILITY; SUBJECT; MODELS; POLICY;
D O I
10.1016/j.ress.2023.109845
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As a novel supporting approach, performance-based contracting (PBC) ties the service supplier's compensation to the performance outcome of the system owned by the customer. It enables the service supplier to implement an effective maintenance and spare parts inventory policy so as to improve system performance. In this paper, we propose a principal-agent modeling framework for deteriorating production systems operating under PBC, with the objective of maximizing the expected utilities of both stakeholders. The customer (principal) offers PBC with a fixed payment plus performance incentive form to the service supplier (agent), who in turn implements a condition-based maintenance (CBM) policy based on the system prognostic condition at periodic inspections, and sets an investment level of spare parts inventory. Considering the partial observability of the service supplier's actions, the optimal combination of performance incentive in PBC provided by the customer, and the joint CBM and spare parts inventory policy implemented by the service supplier, are determined through a two-stage and heuristic approach. Finally, a numerical example and sensitivity analysis based on a real-world scenario are presented to illustrate and verify the applicability of the proposed model.
引用
收藏
页数:12
相关论文
共 45 条
[1]   Spare parts supply with incoming quality control and inspection errors in condition based maintenance [J].
Al Hanbali, Ahmad ;
Saleh, Haitham H. ;
Alsawafy, Omar G. ;
Attia, Ahmed M. ;
Ghaithan, Ahmed M. ;
Mohammed, Awsan .
COMPUTERS & INDUSTRIAL ENGINEERING, 2022, 172
[2]   A review on condition-based maintenance optimization models for stochastically deteriorating system [J].
Alaswad, Suzan ;
Xiang, Yisha .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 157 :54-63
[3]  
[Anonymous], 2004, Def Acquis Rev J
[4]   Condition-based maintenance for a system subject to multiple degradation processes with stochastic arrival intensity [J].
Bautista, Lucia ;
Castro, Inma T. ;
Landesa, Luis .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2022, 302 (02) :560-574
[5]   A condition-based maintenance of a dependent degradation-threshold-shock model in a system with multiple degradation processes [J].
Caballe, N. C. ;
Castro, I. T. ;
Perez, C. J. ;
Lanza-Gutierrez, J. M. .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2015, 134 :98-109
[6]   System Maintenance Scheduling With Prognostics Information Using Genetic Algorithm [J].
Camci, Fatih .
IEEE TRANSACTIONS ON RELIABILITY, 2009, 58 (03) :539-552
[7]   Modeling the effects of dependence between competing failure processes on the condition-based preventive maintenance policy [J].
Cao, Yingsai .
APPLIED MATHEMATICAL MODELLING, 2021, 99 :400-417
[8]   ON THE SUPERPOSITION OF RENEWAL PROCESSES [J].
COX, DR ;
SMITH, WL .
BIOMETRIKA, 1954, 41 (1-2) :91-99
[9]   Predictive maintenance for multi-component systems of repairables with Remaining-Useful-Life prognostics and a limited stock of spare components [J].
de Pater, Ingeborg ;
Mitici, Mihaela .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 214
[10]   Performance-based contracting in business markets [J].
Essig, Michael ;
Glas, Andreas H. ;
Selviaridis, Kostas ;
Roehrich, Jens K. .
INDUSTRIAL MARKETING MANAGEMENT, 2016, 59 :5-11