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A simulation-based learning automata framework for solving semi-Markov decision problems under long-run average reward

2004 IIE Transactions  
However, when their underlying transition mechanism cannot be characterized by the Markov chain alone, the problems may be set up as Semi-Markov Decision Problems (SMDPs).  ...  for every possible action of the decision-making process.  ...  Acknowledgements The authors would like to thank the simulation area editor Professor Dave Goldsman and an anonymous reviewer for carefully reading the manuscript and making various suggestions that have  ... 
doi:10.1080/07408170490438672 fatcat:nrcrwpqqendkhgd4yjh2w5jgqu

A Budget-Sensitive Approach to Scheduling Maintenance in a Total Productive Maintenance (TPM) Program

Abhijit Gosavi, Susan L. Murray, V. Manojramam Tirumalasetty, Shreerang Shewade
2011 Engineering Management Journal  
The second model presented is based on Markov decision processes and is appropriate for manufacturing systems composed of several units, any one of which can fail.  ...  It is no exaggeration to state that production systems cannot remain healthy and productive without a good TPM program; however, developing effective operational strategies for TPM can be quite challenging  ...  The first is based on renewal theory (see Askin and Goldberg, 2002 , for applications in a lean manufacturing setting); the second is based on semi-Markov decision processes (SMDPs) theory (Howard, 1971  ... 
doi:10.1080/10429247.2011.11431908 fatcat:czzd7hfyizcsjluu6jgjn4sbny

Semi-Markov and hidden semi-Markov models of energy systems

Yuriy E. Obzherin, N. Voropai, S. Senderov, A. Michalevich, H. Guliev
2018 E3S Web of Conferences  
The possibilities of application of semi-Markov processes with common phase space of states, hidden Markov and semi-Markov models for energy system modeling are considered in the paper.  ...  The problem of information control systems creation for energy systems and transition to intelligent control and engineering is one of the important problems of reliability and efficiency theory for energy  ...  for decision support during design and maintenance of the systems as well as forecast of their states.  ... 
doi:10.1051/e3sconf/20185802023 fatcat:5n6qkckmorehbmkkxu7ijuotz4

Page 1045 of The Journal of the Operational Research Society Vol. 47, Issue 8 [page]

1996 The Journal of the Operational Research Society  
ZUCKERMAN (1986) Semi-Markov shock models with additive damage. Adv. Appl. Prob. 18, 772-790. . R. M. FELDMAN (1977) The maintenance of systems governed by semi-Markov shock models.  ...  FELDMAN (1976) Optimal replacement with semi-Markov shock models. J. App. Prob. 13, 108-117. . R. M. FELDMAN (1977) Optimal replacement for systems governed by Markov additive shock processes. Ann.  ... 

An evaluation system of the setting up of predictive maintenance programmes

MaCarmen Carnero
2006 Reliability Engineering & System Safety  
In this paper, an evaluation system is proposed that carries out the decision making in relation to the feasibility of the setting up.  ...  The evaluation system uses a combination of tools belonging to operational research such as: Analytic Hierarchy Process, decision rules and Bayesian tools.  ...  In [24] the problem of selecting a suitable maintenance policy for repairable systems and a finite time period is analysed using a semi-Markov decision process.  ... 
doi:10.1016/j.ress.2005.09.003 fatcat:zd3pttqgbzeflblgqzox2laaky

Applying Pareto Frontier to Determine Control Strategy of Technical Objects Operation Process

Klaudiusz Migawa, Leszek Knopik, Andrzej Neubauer, Agnieszka Sołtysiak
2017 Journal of KONBiN  
The decisive model was created with the use of decisive theories of semi-Markov processes. The choice of the optimum (quasi-optimum) solution is made with the use of simulated annealing algorithm.  ...  As a result of numeric calculations for used criteria functions (availability, risk), a set of quasi-optimum solutions in the form of Pareto frontier is obtained.  ...  selection the optimal strategy δ * of controlling the operation and maintenance process for technical objects on the base of developed semi-Markov model of the process.  ... 
doi:10.1515/jok-2017-0060 fatcat:35a6pluxvzgglb4d4vlkkxr6n4

Semi-Markov processes with semi-regenerative states for the availability analysis of chemical process plants with storage units

Olga Fink, Enrico Zio
2013 Proceedings of the Institution of Mechanical Engineers. Part O, Journal of risk and reliability  
In this paper, we present an analytical method for availability evaluation based on extending Semi-Markov processes integrating storage units and multiple production lines.  ...  Semi-regenerative states are used to capture the characteristics of storage units, and an approach is proposed in this work to assign distributions for the remaining holding times in these states.  ...  layout of production network and to support decisions.  ... 
doi:10.1177/1748006x13480765 fatcat:y7ndjlykrnfxva6n6i2fqq3k6m

Production, preventive and corrective maintenance planning in manufacturing systems under imperfect repairs

Annie Francie Kouedeu, Jean-Pierre Kenne, Victor Songmene
2011 2011 3rd International Workshop on Dependable Control of Discrete Systems  
This paper deals with the joint analysis of the optimal production and maintenance planning problems for a manufacturing system subject to random failures and repairs.  ...  A two-level hierarchical decision making approach, based on the determination of the mean time between failures (first level) and the statement of a joint optimization of production, preventive and corrective  ...  The machine dynamics is assumed herein to be described by a finite state semi-Markov chain.  ... 
doi:10.1109/dcds.2011.5970319 fatcat:lgsxosuhfzdydhvfnq374hav2u

Simultaneous control of production, repair/replacement and preventive maintenance of deteriorating manufacturing systems

F.I. Dehayem Nodem, J.P. Kenné, A. Gharbi
2011 International Journal of Production Economics  
The proposed model is based on a semi-Markov decision process and the stochastic dynamic programming method is used to obtain the optimality conditions.  ...  Abstrat This paper presents a method to find the optimal production, repair/replacement and preventive maintenance policies for a degraded manufacturing system.  ...  Sloan (2008) developed a semi-Markov decision process model of a single-stage production system with multiple products and multiple maintenance actions.  ... 
doi:10.1016/j.ijpe.2011.07.011 fatcat:4h55llvilba2dg7r2kxdfqtn6e

Developing A Semi-Markov Process Model for Bridge Deterioration Prediction in Shanghai

Yu Fang, Lijun Sun
2019 Sustainability  
Bridge deterioration prediction is essential for bridge management, especially for maintenance planning and decision-making.  ...  By considering the time-dependent reliability in the bridge deterioration process, a Weibull distribution based semi-Markov process model for urban bridge deterioration prediction was proposed in this  ...  Acknowledgments: Thanks to the Shanghai Road Administration Bureau for kindly providing the bridge historical inspection records in the BMS database for this case study.  ... 
doi:10.3390/su11195524 fatcat:3k3hnlwtnzeebktsqu7khnndli

Degrading systems availability analysis: analytical semi-Markov approach

Varun Kumar, Girish Kumar, Rajesh Kumar Singh, Umang Soni
2021 Eksploatacja i Niezawodnosc  
Therefore, it becomes difficult for maintenance engineer to model such system. Semi-Markov approach is proposed to analyze the degradation of complex mechanical systems.  ...  System models based on perfect repair without opportunistic and with opportunistic maintenance have been developed and the benefits of opportunistic maintenance are quantified in terms of increased system  ...  Using analytical semi-Markov methodology, a method for determining the availability based on corrective maintenance approach applied to complex mechanical system is suggested.  ... 
doi:10.17531/ein.2021.1.20 fatcat:we7c65gf6zg6tbmgvg6wu5tm7y

Condition-Based Maintenance—An Extensive Literature Review

Elena Quatrini, Francesco Costantino, Giulio Di Gravio, Riccardo Patriarca
2020 Machines  
This paper presents an extensive literature review on the field of condition-based maintenance (CBM).  ...  filtering-based models, covariate based hazard models and Hidden Markov model (HMM) and hidden semi-Markov model (HSMM) based methods [14] .  ...  and semi-Markov models.  ... 
doi:10.3390/machines8020031 fatcat:iwvbt5arqfditbreegovxww7te

A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications

Alexandros Bousdekis, Katerina Lepenioti, Dimitris Apostolou, Gregoris Mentzas
2021 Electronics  
The current paper reviews the literature on data-driven decision-making in maintenance and outlines directions for future research towards data-driven decision-making for Industry 4.0 maintenance applications  ...  Decision-making for manufacturing and maintenance operations is benefiting from the advanced sensor infrastructure of Industry 4.0, enabling the use of algorithms that analyze data, predict emerging situations  ...  [37] propose proactive event-driven decision methods based on Markov Decision Process (MDP) and optimization models for recommending both perfect and imperfect maintenance actions at optimal times with  ... 
doi:10.3390/electronics10070828 doaj:8accfa8ec357433dbb02cde449e3af6a fatcat:7q55ex2mezfstdllzfufryeo3a

Condition Based Maintenance for Two-Component Systems with Reliability and Cost Considerations

S. G. Jalali Naini, M. B. Aryanezhad, A. Jabbarzadeh, H. Babaei
2009 International Journal of Industrial Engineering and Production Research  
time between two successive inspection periods and the appropriate maintenance action for each of the components based on the observed degrees of deterioration.  ...  This paper studies a maintenance policy for a system composed of two components, which are subject to continuous deterioration and consequently stochastic failure.  ...  Chen and Trivedi [16] have built the semi-Markov decision process for the maintenance policy optimization of condition based preventive maintenance problems and present an approach for joint optimization  ... 
doaj:53da7917d1ff4feebf5c4986ff1d8b5f fatcat:wipihqxozzfkbnqildti325hdi

Adaptive Multi-scale Prognostics and Health Management for Smart Manufacturing Systems

Benjamin Y. Choo, Stephen C. Adams, Brian A. Weiss, Jeremy A. Marvel, Peter A. Beling
2020 International Journal of Prognostics and Health Management  
into describing the system and solving for an optimized policy.  ...  To overcome the issue of exponential explosion of complexity associated with describing a large manufacturing system, the AM-PHM methodology takes a hierarchical Markov Decision Process (MDP) approach  ...  A semi-Markov decision process is an extension of an MDP where the duration spent in states is modeled.  ... 
doi:10.36001/ijphm.2016.v7i3.2412 fatcat:dqi7xbjm6zgltpji7l7pmnspae
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