maintenance; data driven operations; Bayesian learning
Disciplines :
Mechanical engineering Quantitative methods in economics & management Management information systems Production, distribution & supply chain management Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Drent, Melvin ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Economics and Management (DEM)
Drent, Collin ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Center for Research in Economic Analysis (CREA)
Kapodistria, Stella
Arts, Joachim ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Economics and Management (DEM)
External co-authors :
yes
Language :
English
Title :
Real-Time Integrated Learning and Decision Making for Cumulative Shock Degradation
Publication date :
2022
Journal title :
Manufacturing and Service Operations Management
ISSN :
1526-5498
Publisher :
Institute for Operations Research and the Management Sciences, United States
Albano M, Jantunen E, Papa G, Zurutuza U (2019) The MANTIS Book: Cyber Physical System Based Proactive Collaborative Maintenance. River Publishers Series in Automation, Control and Robotics. (River Publishers, Delft, Netherlands).
Azoury KS (1985) Bayes solution to dynamic inventory models under unknown demand distribution. Management Sci. 31(9): 1150–1160.
Batun S, Maillart LM (2012) Reassessing tradeoffs inherent to simultaneous maintenance and production planning. Production Oper. Management 21(2):396–403.
Benyamini Z, Yechiali U (1999) Optimality of control limit maintenance policies under nonstationary deterioration. Probability Engrg. Inform. Sci. 13(1):55–70.
Bertsekas DP (2007) Dynamic Programming and Optimal Control, vol. II (Athena Scientific, Nashua, NH).
Chen L (2010) Bounds and heuristics for optimal Bayesian inventory control with unobserved lost sales. Oper. Res. 58(2): 396–413.
Chen L (2021) Fixing phantom stockouts: Optimal data-driven shelf inspection policies. Production Oper. Management 30(3): 689–702.
Chen L, Plambeck EL (2008) Dynamic inventory management with learning about the demand distribution and substitution probability. Manufacturing Service Oper. Management 10(2): 236–256.
Chen L, Mersereau A, Wang Z (2017) Optimal merchandise testing with limited inventory. Oper. Res. 65(4):968–991.
Chen N, Ye ZS, Xiang Y, Zhang L (2015) Condition-based maintenance using the inverse Gaussian degradation model. Eur. J. Oper. Res. 243(1):190–199.
Coleman C, Damodaran S, Chandramouli M, Deuel E (2017) Making maintenance smarter: Predictive maintenance and the digital supply network. Technical report, Deloitte. Accessed September 9, 2022, https://www2.deloitte.com/content/dam/insights/us/articles/3828_Making-maintenance-smarter/DUP_ Making-maintenance-smarter.pdf.
Covington EJ (1973) Hot spot burnout of tungsten filaments. J. Illuminating Engrg. Soc. 2(4):372–380.
De Jonge B, Scarf PA (2020) A review on maintenance optimization. Eur. J. Oper. Res. 285(3):805–824.
DeHoratius N, Mersereau A, Schrage L (2008) Retail inventory management when records are inaccurate. Manufacturing Service Oper. Management 10(2):257–277.
Delepeire Y (2016) Als het in Doel fout gaat, gaat het goed fout. De Standaard (January 5), accessed September 9, 2022, https://www.standaard.be/cnt/dmf20160104_02049191.
Derman C (1963) Optimal replacement and maintenance under Markovian deterioration with probability bounds on failure. Management Sci. 9(3):478–481.
Elwany A, Gebraeel N, Maillart LM (2011) Structured replacement policies for components with complex degradation processes and dedicated sensors. Oper. Res. 59(3):684–695.
Esary JD, Marshall AW (1973) Shock models and wear processes. Ann. Probability 1(4):627–649.
Ghosh JK, Delampady M, Samanta T (2007) An Introduction to Bayesian Analysis: Theory and Methods (Springer Science & Business Media, Boston).
Insinna V, Ziezuliwicz G (2018) Investigation blames air force and navy for systemic failures in fatal marine corps c-130 crash that killed 16. Military Times (December 6), accessed September 9, 2022, https://www.militarytimes.com/2018/12/05/investigation-blames-airforce-and-navy-for-systemic-failures-in-fatal-marine-corps-c-130-crash-that-killed-16/.
Kao E (1973) Optimal replacement rules when changes of state are semi-Markovian. Oper. Res. 21(6):1231–1249.
Khaleghei A, Kim MJ (2021) Optimal control of partially observable semi-Markovian failing systems: An analysis using a phase methodology. Oper. Res. 69(4):1282–1304.
Kharoufeh JP, Cox SM (2005) Stochastic models for degradation-based reliability. IIE Trans. 37(6):533–542.
Kim MJ (2016) Robust control of partially observable failing systems. Oper. Res. 64(4):999–1014.
Kim MJ, Makis V (2013) Joint optimization of sampling and control of partially observable failing systems. Oper. Res. 61(3):777–790.
Kolesar P (1966) Minimum cost replacement under Markovian deterioration. Management Sci. 12(9):694–706.
Kurt M, Kharoufeh JP (2010) Optimally maintaining a Markovian deteriorating system with limited imperfect repairs. Eur. J. Oper. Res. 205(2):368–380.
Li R, Ryan JK (2011) A Bayesian inventory model using real-time condition monitoring information. Production Oper. Management 20(5):754–771.
Li R, Song J, Sun S, Zheng X (2022) Fight inventory shrinkage: Simultaneous learning of inventory level and shrinkage rate. Production Oper. Management 31(6):2477–2491.
Liu X, Sun Q, Ye ZS, Yildirim M (2021) Optimal multi-type inspection policy for systems with imperfect online monitoring. Reliable Engrg. Systems Safety 207:107335.
Maillart LM (2006) Maintenance policies for systems with condition monitoring and obvious failures. IIE Trans. 38:463–475.
Makis V, Jiang X (2003) Optimal replacement under partial observations. Math. Oper. Res. 28(2):382–394.
Mersereau A (2013) Information-sensitive replenishment when inventory records are inaccurate. Production Oper. Management 22(4):792–810.
Morris CN (1982) Natural exponential families with quadratic variance functions. Ann. Statist. 10(1):65–80.
Olde Keizer MCA, Teunter RH, Veldman J (2017) Joint condition-based maintenance and inventory optimization for systems with multiple components. Eur. J. Oper. Res. 257(1):209–222.
Olsen TL, Tomlin B (2020) Industry 4.0: Opportunities and challenges for operations management. Manufacturing Service Oper. Management 22(1):113–122.
Pacquin R (2014) Asset Management: The Changing Landscape of Predictive Maintenance (AberdeenGroup, Boston, MA)
Philips (2020) Allura Xper FD 10-DS interventional x-ray system. https://www.philips.se/healthcare/product/HC889021/alluraxper-fd-10-ds-interventional-xray-system.
Pierskalla WP, Voelker JA (1976) A survey of maintenance models: The control and surveillance of deteriorating systems. Naval Res. Logist. 23(3):353–388.
Price Waterhouse Coopers (2014) Sensing the future of the Internet of things. Digital IQ snapshot, Annual questionnaire, Price Waterhouse Coopers. Accessed March 7, 2020, https://www.pwc.com/us/en/increasing-it-effectiveness/assets/future-ofthe-internet-of-things.pdf.
Rosenfield D (1976) Markovian deterioration with uncertain information. Oper. Res. 24(1):141–155.
Ross SM (1969) A Markovian replacement model with a generalization to include stocking. Management Sci. 15(11):573–739.
Scarf PA (1997) On the application of mathematical models in maintenance. Eur. J. Oper. Res. 99(3):493–506.
Shaked M, Shanthikumar GJ (2007) Stochastic Orders (Springer Science & Business Media, Boston, MA).
Slaugh VW, Biller B, Tayur SR (2016) Managing rentals with usage-based loss. Manufacturing Service Oper. Management 18(3):429–444.
Sobczyk K (1987) Stochastic models for fatigue damage of materials. Adv. Appl. Probability 19(3):652–673.
Uit het Broek MAJ, Teunter RH, De Jonge B, Veldman J, Van Foreest ND (2020) Condition-based production planning: Adjusting production rates to balance output and failure risk. Manufacturing Service Oper. Management 22(4):792–811.
Valdez-Flores C, Feldman RM (1989) A survey of preventive maintenance models for stochastically deteriorating single-unit systems. Naval Res. Logist. 36(4):419–446.
Van Noortwijk JM (2009) A survey of the application of Gamma processes in maintenance. Reliable Engrg. Systems Safety 94(1):2–21.
Van Oosterom C, Peng H, Van Houtum GJ (2017) Maintenance optimization for a Markovian deteriorating system with population heterogeneity. IISE Trans. 49(1):96–109.
Van Staden HE, Boute RN (2021) The effect of multi-sensor data on condition-based maintenance policies. Eur. J. Oper. Res. 290(2):585–600.
Wall Street Journal Custom Studios (2017) How manufacturers achieve top quartile performance. Accessed September 9, 2022, https://partners.wsj.com/emerson/unlocking-performance/ how-manufacturers-can-achieve-top-quartile-performance/.
Wang H (2002) A survey of maintenance policies of deteriorating systems. Eur. J. Oper. Res. 139(3):469–489.
Zhang L, Lei Y, Shen H (2016) How heterogeneity influences condition-based maintenance for Gamma degradation process. Internat. J. Production Res. 54(19):5829–5841.
