A survey of maintenance policies of deteriorating systems
By Hongzhou Wang. European Journal of Operational Research, 2002
1,675 citations recorded by the source corpus.
Subfields: Accounting, Safety, Risk, Reliability and Quality, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/dde2f74039e4882583355beb53016278dc498875
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Philip A. Scarf
- D. Clements–Croome
- Bram de Jonge
- Donghua Zhou
- J. Zeng
- Jianjing Zhang
- Robert X. Gao
- Jorge F. Arinez
In Safety, Risk, Reliability and Quality
- Shaomin Wu
- Philip A. Scarf
- D. Clements–Croome
- Bram de Jonge
- Donghua Zhou
- J. Zeng
- Jianjing Zhang
- Robert X. Gao
In Statistics and Probability
- Shaomin Wu
- Philip A. Scarf
- D. Clements–Croome
- Bram de Jonge
- Donghua Zhou
- J. Zeng
- Jianjing Zhang
- Robert X. Gao
Citations in the corpus
- A review on maintenance optimization (2020, background): “Substantial developments in the field of maintenance optimization can be observed since the review by Wang (2002). Various extensions of traditional time-based maintenance policies have been considered and some studies have been devoted to the effect of uncertainties in the model specifications.”
- A novel repair model for imperfect maintenance (2006, background): “The reader is referred to (Pham and Wang 1996; Wang 2002) and (Scarf 1997) for detailed and comprehensive discussions on the theoretic discussion and the application of models in maintenance, respectively.”
- Remaining useful life estimation - A review on the statistical data driven approaches (2011, methodology): “…to RUL There have been excellent review papers over the last few decades on maintenance related issues, maintenance optimisation and modeling techniques and fault diagnostics, see for example Cho and Parlar (1991), Reinertsen (1996), Scarf (1997), Wang (2002a), and Zio (2009) to name a few.”
- Optimal Prices and Trade-in Rebates for Durable, Remanufacturable Products (2005, neutral): “These are the replacement models in the maintenance literature that deal with determining the optimal age for replacement of a currently owned product (Wang 2002, Nahmias 2001).”
- Condition-based maintenance policies for systems with multiple dependent components: A review (2017, background): “…6, 2017 AC CE PT ED M AN US CR IP T Maintenance policies for multi-component systems have been reviewed in the past by many authors, including McCall (1965), Cho and Parlar (1991), Dekker et al. (1997), Wang (2002), and Nicolai and Dekker (2008), where the latter also considers CBM strategies.”
- Deterioration state space partitioning method for opportunistic maintenance modelling of identical multi-unit systems (2015, background): “Review articles by researchers, such as Cho and Parlar (1991), Dekker, Wildeman, and van der Duyn Schouten (1997), Wang (2002), Nicolai and Dekker (2008), and Nowakowski and Werbińka (2009), show that the optimised maintenance modelling of systems comprising multiple units have received…”
- An improved exact algorithm for single-machine scheduling to minimise the number of tardy jobs with periodic maintenance (2016, neutral): “Among various maintenance policies, the periodic maintenance policy is widely used in real-world production systems (Chen 2009), in which a unit (or machine) is preventively maintained at fixed time intervals (Wang 2002), i.e. maintenance activities are scheduled periodically or regularly.”
- A review on condition-based maintenance optimization models for stochastically deteriorating system (2017, background): “Wang (2002) reviews literature on maintenance policies for multi-component systems, with focus on PM rather than on CBM.”
- Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook (2020, positive): “Compared to traditional maintenance policies [61], e.g., periodic policy and age-dependent policy, the RL-based maintenance policies are more adaptive to the manufacturing system dynamics and therefore yield better system performance.”