Condition-Based Production for Stochastically Deteriorating Systems: Optimal Policies and Learning

References

• Alaswad S, Xiang Y (2017) A review on condition-based maintenance optimization models for stochastically deteriorating systems. Reliability Engrg. System Safety 157:54–63.Crossref, Google Scholar
• Araman VF, Caldentey R (2009) Dynamic pricing for nonperishable products with demand learning. Oper. Res. 57(5):1169–1188.Link, Google Scholar
• Arts J, Basten R (2018) Design of multi-component periodic maintenance programs with single-component models. IISE Trans. 50(7):606–615.Crossref, Google Scholar
• Aydin G, Ziya S (2008) Pricing promotional products under upselling. Manufacturing Service Oper. Management 10(3):360–376.Link, Google Scholar
• Aydin G, Ziya S (2009) Personalized dynamic pricing of limited inventories. Oper. Res. 57(6):1523–1531.Link, Google Scholar
• Barlow R, Hunter L (1960) Optimum preventive maintenance policies. Oper. Res. 8(1):90–100.Link, Google Scholar
• Batun S, Maillart LM (2012) Reassessing tradeoffs inherent to simultaneous maintenance and production planning. Production Oper. Management 21(2):396–403.Crossref, Google Scholar
• Blackwell E, Gambell T, Marya V, Schmitz C (2017) The great re-make: Manufacturing for modern times. Technical report, McKinsey, New York.Google Scholar
• Boukas E, Liu Z (2001) Production and maintenance control for manufacturing systems. IEEE Trans. Automated Control 46(9):1455–1460.Crossref, Google Scholar
• Boukas E, Zhang Q, Yin G (1995) Robust production and maintenance planning in stochastic manufacturing systems. IEEE Trans. Automated Control 40(6):1098–1102.Crossref, Google Scholar
• Bremaud P (1980) Point Processes and Queues, Martingale Dynamics (Springer-Verlag, New York).Google Scholar
• Cao P, Li J, Yan H (2012) Optimal dynamic pricing of inventories with stochastic demand and discounted criterion. Eur. J. Oper. Res. 217(3):580–588.Crossref, Google Scholar
• Chao X, Chen H, Zheng S (2009) Dynamic capacity expansion for a service firm with capacity deterioration and supply uncertainty. Oper. Res. 57(1):82–93.Link, Google Scholar
• Coleman C, Damodaran S, Chandramouli M, Deuel E (2017) Making maintenance smarter: Predictive maintenance and the digital supply network. Technical report, Deloitte, New York.Google Scholar
• Conrad C, McClamroch N (1987) The drilling problem: A stochastic modeling and control example in manufacturing. IEEE Trans. Automated Control 32(11):947–958.Crossref, Google Scholar
• De Jonge B, Scarf PA (2020) A review on maintenance optimization. Eur. J. Oper. Res. 285(3):805–824.Crossref, Google Scholar
• Derman C (1963) Optimal replacement and maintenance under Markovian deterioration with probability bounds on failure. Management Sci. 9(3):478–481.Link, Google Scholar
• Dolinšek S, Šuštaršič B, Kopač J (2001) Wear mechanisms of cutting tools in high-speed cutting processes. Wear 250(1–12):349–356.Crossref, Google Scholar
• Drent C, Drent M, Van Houtum GJ (2024) Optimal data pooling for shared learning in maintenance operations. Oper. Res. Lett. 52:107056.Crossref, Google Scholar
• Drent C, Drent M, Arts J, Kapodistria S (2023) Real-time integrated learning and decision making for cumulative shock degradation. Manufacturing Service Oper. Management 25(1):235–253.Link, Google Scholar
• Du L, Hu M, Wu J (2022) Sales effort management under all-or-nothing constraint. Management Sci. 68(7):5109–5126.Link, Google Scholar
• Elwany AH, Gebraeel NZ, Maillart LM (2011) Structured replacement policies for components with complex degradation processes and dedicated sensors. Oper. Res. 59(3):684–695.Link, Google Scholar
• Esary J, Marshall A (1973) Shock models and wear processes. Ann. Probability 1(4):627–649.Crossref, Google Scholar
• Farias VF, Van Roy B (2010) Dynamic pricing with a prior on market response. Oper. Res. 58(1):16–29.Link, Google Scholar
• Feng Y, Qiu Y, Crabtree CJ, Long H, Tavner PJ (2013) Monitoring wind turbine gearboxes. Wind Energy (Chichester England) 16(5):728–740.Crossref, Google Scholar
• Francie KA, Jean-Pierre K, Pierre D, Victor S, Vladimir P (2014) Stochastic optimal control of manufacturing systems under production-dependent failure rates. Internat. J. Production Econom. 150:174–187.Crossref, Google Scholar
• Gallego G, Topaloglu H (2019) Revenue Management and Pricing Analytics, vol. 209 (Springer, New York).Crossref, Google Scholar
• Gallego G, Van Ryzin G (1994) Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management Sci. 40(8):999–1020.Link, Google Scholar
• Gallego G, Van Ryzin G (1997) A multiproduct dynamic pricing problem and its applications to network yield management. Oper. Res. 45(1):24–41.Link, Google Scholar
• Gebraeel NZ, Lawley MA, Li R, Ryan JK (2005) Residual-life distributions from component degradation signals: A Bayesian approach. IIE Trans. 37(6):543–557.Crossref, Google Scholar
• Hao L, Liu K, Gebraeel NZ, Shi J (2015) Controlling the residual life distribution of parallel unit systems through workload adjustment. IEEE Trans. Automated Sci. Engrg. 14(2):1042–1052.Crossref, Google Scholar
• Hu J, Xiang D (1995) Monotonicity of optimal flow control for failure-prone production systems. J. Optim. Theory Appl. 86(1):57–71.Crossref, Google Scholar
• Hu S, Hu X, Ye Q (2017) Optimal rebate strategies under dynamic pricing. Oper. Res. 65(6):1546–1561.Link, Google Scholar
• Kazaz B, Sloan TW (2008) Production policies under deteriorating process conditions. IIE Trans. 40(3):187–205.Crossref, Google Scholar
• Kazaz B, Sloan TW (2013) The impact of process deterioration on production and maintenance policies. Eur. J. Oper. Res. 227(1):88–100.Crossref, Google Scholar
• Kim MJ, Makis V (2013) Joint optimization of sampling and control of partially observable failing systems. Oper. Res. 61(3):777–790.Link, Google Scholar
• Lamghari-Idrissi D (2021) A new after-sales service measure for stable customer operations. PhD thesis, Eindhoven University of Technology, Eindhoven, Netherlands.Google Scholar
• Lewis PW, Shedler GS (1979) Simulation of nonhomogeneous Poisson processes by thinning. Naval Res. Logist. Quart. 26(3):403–413.Crossref, Google Scholar
• Li C, Tomlin B (2022) After-sales service contracting: Condition monitoring and data ownership. Manufacturing Service Oper. Management 24(3):1494–1510.Link, Google Scholar
• Liberopoulos G, Caramanis M (1994) Production control of manufacturing systems with production rate-dependent failure rates. IEEE Trans. Automated Control 39(4):889–895.Crossref, Google Scholar
• Macquart T, Maheri A (2019) A stall-regulated wind turbine design to reduce fatigue. Renewable Energy 133:964–970.Crossref, Google Scholar
• Martinelli F (2010) Manufacturing systems with a production dependent failure rate: Structure of optimality. IEEE Trans. Automated Control 55(10):2401–2406.Crossref, Google Scholar
• Mula J, Poler R, García-Sabater J, Lario F (2006) Models for production planning under uncertainty: A review. Internat. J. Production Econom. 103(1):271–285.Crossref, Google Scholar
• Nourelfath M, Yalaoui F (2012) Integrated load distribution and production planning in series-parallel multi-state systems with failure rate depending on load. Reliability Engrg. Systems Safety 106:138–145.Crossref, Google Scholar
• Olsen TL, Tomlin B (2020) Industry 4.0: Opportunities and challenges for operations management. Manufacturing Service Oper. Management 22(1):113–122.Link, Google Scholar
• Price Waterhouse Coopers (2014) Sensing the future of the Internet of things. Digital IQ snapshot, Annual questionnaire, Price Waterhouse Coopers. Accessed March 6, 2022, https://www.pwc.com/us/en/increasing-it-effectiveness/assets/future-of-the-internet-of-things.pdf.Google Scholar
• Rishel R (1991) Controlled wear process: Modeling optimal control. IEEE Trans. Automatic Control 36(9):1100–1102.Google Scholar
• Sethi SP, Yan H, Zhang H, Zhang Q (2002) Optimal and hierarchical controls in dynamic stochastic manufacturing systems: A survey. Manufacturing Service Oper. Management 4(2):133–170.Link, Google Scholar
• Sloan TW, Shanthikumar JG (2000) Combined production and maintenance scheduling for a multiple-product, single-machine production system. Production Oper. Management 9(4):379–399.Crossref, Google Scholar
• Sobczyk K (1987) Stochastic models for fatigue damage of materials. Adv. Appl. Probability 19(3):652–673.Crossref, Google Scholar
• Spinato F, Tavner PJ, Van Bussel GJ, Koutoulakos E (2009) Reliability of wind turbine subassemblies. IET Renewable Power Generation 3(4):387–401.Crossref, Google Scholar
• Sun Q, Ye ZS, Revie M, Walls L (2019) Reliability modeling of infrastructure load-sharing systems with workload adjustment. IEEE Trans. Reliability 68(4):1283–1295.Crossref, Google Scholar
• Tian F, Sun P, Duenyas I (2021) Optimal contract for machine repair and maintenance. Oper. Res. 69(3):916–949.Link, Google Scholar
• Topkis DM (1998) Supermodularity and Complementarity (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Uit het Broek MA, Teunter RH, De Jonge B, Veldman J (2021) Joint condition-based maintenance and condition-based production optimization. Reliability Engrg. Systems Safety 214:107743.Crossref, Google Scholar
• Uit het Broek MA, 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.Link, Google Scholar
• Van Dijkhuizen G, van Harten A (1997) Optimal clustering of frequency-constrained maintenance jobs with shared set-ups. Eur. J. Oper. Res. 99(3):552–564.Crossref, Google Scholar
• Wang H (2002) A survey of maintenance policies of deteriorating systems. Eur. J. Oper. Res. 139(3):469–489.Crossref, Google Scholar
• Zhang H, Zhang W (2023) Analytical solution to a partially observable machine maintenance problem with obvious failures. Management Sci. 69(7):3993–4015.Link, Google Scholar
• Zhang T, Dwight R, El-Akruti K (2015) Condition based maintenance and operation of wind turbines. Engineering Asset Management-Systems, Professional Practices and Certification (Springer, Berlin), 1013–1025.Crossref, Google Scholar
• Zied H, Sofiene D, Nidhal R (2011) Optimal integrated maintenance/production policy for randomly failing systems with variable failure rate. Internat. J. Production Res. 49(19):5695–5712.Crossref, Google Scholar