Joint condition-based maintenance and load-sharing optimization for two-unit systems with economic dependency
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TLDR
This study forms the system as a Markov decision process and provides optimal joint condition-based maintenance and production policies for multi-unit systems with economic dependency and shows that substantial cost savings can be realized.About:
This article is published in European Journal of Operational Research.The article was published on 2021-12-16 and is currently open access. It has received 58 citations till now. The article focuses on the topics: Condition-based maintenance.read more
Citations
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Determinants of the Performance of Microfinance Institutions : A Systematic Review
Niels Hermes,Marek Hudon +1 more
TL;DR: In this paper, a systematic review of close to 170 papers discussing the determinants of the financial and social performance of microfinance institutions was carried out, showing that the most important determinants addressed in the literature are MFI characteristics (size, age and type of organization), their funding sources, the quality of organizational governance and the MFIs' external context such as macroeconomic, institutional and political conditions.
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Financial and Real Integration between Mexico and the Unites States
TL;DR: In this article, the authors estimate US and Mexican business and financial cycle components and analyze their cyclical comovement, finding long term countercyclicality and short term pro-cyclicalities between US investor sentiment and Mexican leverage growth and the Mexican net financial account.
Posted Content
Forecasting and Inventory Control with Compound Poisson Demand Using Periodic Demand Data
TL;DR: An intuitive, consistent, closed-form MM alternative that dominates in terms of estimation accuracy and achieved service level is proposed that should be preferred over standard MM, which is currently the norm in the inventory control literature.
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Mergers of Gas Market Areas and Competition amongst Transmission System Operators : Evidence on Booking Behaviour in the German Markets
TL;DR: In this paper, the authors analyzed the German market areas with the highest market integration so far and found that network users' booking behaviour is fairly efficient, and that it is important to control for differences in country specific capacity types.
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Refining clustered standard errors with few clusters
TL;DR: Efficient formulas that dramatically decrease the computational time of CR2VE and CR3VE, the cluster-robust estimators of standard errors with few clusters, and of the Imbens and Kolesar (2016) degrees of freedom are introduced.
References
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Book
Markov Decision Processes: Discrete Stochastic Dynamic Programming
TL;DR: Puterman as discussed by the authors provides a uniquely up-to-date, unified, and rigorous treatment of the theoretical, computational, and applied research on Markov decision process models, focusing primarily on infinite horizon discrete time models and models with discrete time spaces while also examining models with arbitrary state spaces, finite horizon models, and continuous time discrete state models.
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A survey of the application of gamma processes in maintenance
TL;DR: The application of gamma processes in maintenance is surveyed because gamma processes are well suited for modelling the temporal variability of deterioration, they have proven to be useful in determining optimal inspection and maintenance decisions.
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The analytic hierarchy process applied to maintenance strategy selection
TL;DR: An application of the Analytic Hierarchy Process (AHP) for selecting the best maintenance strategy for an important Italian oil refinery (an Integrated Gasification and Combined Cycle plant) is described.
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A review on condition-based maintenance optimization models for stochastically deteriorating system
Suzan Alaswad,Yisha Xiang +1 more
TL;DR: A review of CBM literature with emphasis on mathematical modeling and optimization approaches, and classifies the literature on CBM models based on the underlying deterioration processes, namely discrete- and continuous-state deterioration, and proportional hazard model.
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Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation
TL;DR: This paper considers a continuously monitored multi-component system and uses a Genetic Algorithm for determining the optimal degradation level beyond which preventive maintenance has to be performed and considers a predictive model describing the evolution of the degrading system based on the use of Monte Carlo simulation.