Proactive Approach for Production and Condition-Based Maintenance Integration Problem in a Deteriorating System

doi:10.1007/s12204-019-2080-8

摘要/Abstract

摘要： A proactive approach is constructed to cope with the integrated problem of batch production and maintenance in a deteriorating system. The condition of the system is modeled by a proportional hazards model (PHM) which considers both system deterioration state and usage. The deterioration state of system is uncertain and is only observed between batches. An integration model for optimizing production plan and conditionbased maintenance (CBM) policy is proposed, in which the maintenance threshold and production quantity are proactively decided simultaneously. To obtain a robust solution with minimal cost over the planning horizon, a simulation-based iterative algorithm is developed to solve the complicated non-linear model. Numerical results show that the performance of the developed approach is satisfactory under uncertainty.

关键词: production plan, condition-based maintenance, uncertainty, robustness, proactive approach

Abstract: A proactive approach is constructed to cope with the integrated problem of batch production and maintenance in a deteriorating system. The condition of the system is modeled by a proportional hazards model (PHM) which considers both system deterioration state and usage. The deterioration state of system is uncertain and is only observed between batches. An integration model for optimizing production plan and conditionbased maintenance (CBM) policy is proposed, in which the maintenance threshold and production quantity are proactively decided simultaneously. To obtain a robust solution with minimal cost over the planning horizon, a simulation-based iterative algorithm is developed to solve the complicated non-linear model. Numerical results show that the performance of the developed approach is satisfactory under uncertainty.

Key words: production plan, condition-based maintenance, uncertainty, robustness, proactive approach

中图分类号:

TB 497

WANG Lin (王林), LU Zhiqiang *(陆志强). Proactive Approach for Production and Condition-Based Maintenance Integration Problem in a Deteriorating System[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(4): 500-509.

参考文献

[1] AGHEZZAF E H, JAMALIM A, AIT-KADI D. An integratedproduction and preventive maintenance planningmodel [J]. European Journal of Operational Research,2007, 181(2): 679-685. [2] AGHEZZAF E H, NAJID N M. Integrated productionplanning and preventive maintenance in deterioratingproduction systems [J]. Information Sciences,2008, 178(17): 3382-3392. [3] NOURELFATH M, CH?ATELET E. Integrating production,inventory and maintenance planning for a parallelsystem with dependent components [J]. ReliabilityEngineering & System Safety, 2012, 101: 59-66. [4] LU Z, ZHANG Y, HAN X. Integrating run-based preventivemaintenance into the capacitated lot sizingproblem with reliability constraint [J]. InternationalJournal of Production Research, 2013, 51(5): 1379-1391. [5] ZHAO S,WANG L, ZHENG Y. Integrating productionplanning and maintenance: An iterative method [J].Industrial Management & Data Systems, 2014, 114(2):162-182. [6] LIU X,WANG W, PENG R. An integrated productionand delay-time based preventive maintenance planningmodel for a multi-product production system [J]. Eksploatacjai Niezawodno′s′c: Maintenance and Reliability,2015, 17(2): 215-221. [7] AGHEZZAF E H, KHATAB A, LE TAM P. Optimizingproduction and imperfect preventive maintenanceplanning’s integration in failure-prone manufacturingsystems [J]. Reliability Engineering & System Safety,2016, 145: 190-198. [8] TIAN Z, JIN T, WU B, et al. Condition based maintenanceoptimization for wind power generation systemsunder continuous monitoring [J]. Renewable Energy,2011, 36(5): 1502-1509. [9] RAUSCH M, LIAO H. Joint production and sparepart inventory control strategy driven by conditionbased maintenance [J]. IEEE Transactions on Reliability,2010, 59(3): 507-516. [10] GRALL A, B′ERENGUER C, DIEULLE L. Acondition-based maintenance policy for stochasticallydeteriorating systems [J]. Reliability Engineering &System Safety, 2002, 76(2): 167-180. [11] JARDINE A K S, LIN D, BANJEVIC D. A review onmachinery diagnostics and prognostics implementingcondition-based maintenance [J]. Mechanical Systemsand Signal Processing, 2006, 20(7): 1483-1510. [12] CHOUIKHI H, KHATAB A, REZG N. A conditionbasedmaintenance policy for a production system underexcessive environmental degradation [J]. Journalof Intelligent Manufacturing, 2014, 25(4): 727-737. [13] BOUSDEKIS A, MAGOUTAS B, APOSTOLOU D,et al. A proactive decision making framework forcondition-based maintenance [J]. Industrial Management& Data Systems, 2015, 115(7): 1225-1250. [14] DO P, VOISIN A, LEVRAT E, et al. A proactivecondition-based maintenance strategy with both perfectand imperfect maintenance actions [J]. ReliabilityEngineering & System Safety, 2015, 133: 22-32. [15] KEIZERMC A O, FLAPPER S D P, TEUNTER R H.Condition-based maintenance policies for systems withmultiple dependent components: A review [J]. EuropeanJournal of Operational Research, 2017, 261(2):405-420. [16] AHMAD R, KAMARUDDIN S. An overview of timebasedand condition-based maintenance in industrialapplication [J]. Computers & Industrial Engineering,2012, 63(1): 135-149. [17] KIM J, AHN Y, YEO H. A comparative study of timebasedmaintenance and condition-based maintenancefor optimal choice of maintenance policy [J]. Structureand Infrastructure Engineering, 2016, 12(12): 1525-1536. [18] GHASEMI A, YACOUTS, OUALIMS. Optimal conditionbased maintenance with imperfect informationand the proportional hazards model [J]. InternationalJournal of Production Research, 2007, 45(4): 989-1012. [19] TIAN Z, LIAO H. Condition based maintenance optimizationfor multi-component systems using proportionalhazards model [J]. Reliability Engineering & SystemSafety, 2011, 96(5): 581-589. [20] LU B, ZHOU X, LI Y. Joint modeling of preventivemaintenance and quality improvement for deterioratingsingle-machine manufacturing systems [J]. Computers& Industrial Engineering, 2016, 91: 188-196. [21] SLOAN T W, SHANTHIKUMAR J G. Combined productionand maintenance scheduling for a multipleproduct,single-machine production system [J]. Productionand Operations Management, 2000, 9(4): 379-399. [22] SLOAN T W. A periodic review production and maintenancemodel with random demand, deterioratingequipment, and binomial yield [J]. Journal of the OperationalResearch Society, 2004, 55(6): 647-656. [23] XIANG Y, CASSADY C R, JIN T, et al. Joint productionand maintenance planning with machine deteriorationand random yield [J]. International Journalof Production Research, 2014, 52(6): 1644-1657. [24] JAFARI L, MAKIS V. Joint optimal lot sizing andpreventive maintenance policy for a production facilitysubject to condition monitoring [J]. InternationalJournal of Production Economics, 2015, 169: 156-168. [25] LIU X, WANG W, PENG R. An integrated production,inventory and preventive maintenance model fora multi-product production system [J]. Reliability Engineering& System Safety, 2015, 137: 76-86. [26] BONFILL A, ESPUNA A, PUIGJANER L. Proactiveapproach to address the uncertainty in short-termscheduling [J]. Computers & Chemical Engineering,2008, 32(8): 1689-1706. [27] WANG D J, LIU F, WANG Y Z, et al. A knowledgebasedevolutionary proactive scheduling approach inthe presence of machine breakdown and deteriorationeffect [J]. Knowledge-Based Systems, 2015, 90: 70-80. [28] BEYER H G, SENDHOFF B. Robust optimization: Acomprehensive survey [J]. Computer Methods in AppliedMechanics and Engineering, 2007, 196(33/34):3190-3218. [29] HAN X L, LU Z Q, XI L F. A proactive approach forsimultaneous berth and quay crane scheduling problemwith stochastic arrival and handling time [J]. EuropeanJournal of Operational Research, 2010, 207(3): 1327-1340.