Maintenance, Modeling and Optimization

Maintenance, Modeling and Optimization

Author: Mohamed Ben-Daya

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 481

ISBN-13: 1461543290

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Production costs are being reduced by automation, robotics, computer-integrated manufacturing, cost reduction studies and more. These new technologies are expensive to buy, repair, and maintain. Hence, the demand on maintenance is growing and its costs are escalating. This new environment is compelling industrial maintenance organizations to make the transition from fixing broken machines to higher-level business units for securing production capacity. On the academic front, research in the area of maintenance management and engineering is receiving tremendous interest from researchers. Many papers have appeared in the literature dealing with the modeling and solution of maintenance problems using operations research (OR) and management science (MS) techniques. This area represents an opportunity for making significant contributions by the OR and MS communities. Maintenance, Modeling, and Optimization provides in one volume the latest developments in the area of maintenance modeling. Prominent scholars have contributed chapters covering a wide range of topics. We hope that this initial contribution will serve as a useful informative introduction to this field that may permit additional developments and useful directions for more research in this fast-growing area. The book is divided into six parts and contains seventeen chapters. Each chapter has been subject to review by at least two experts in the area of maintenance modeling and optimization. The first chapter provides an introduction to major maintenance modeling areas illustrated with some basic models. Part II contains five chapters dealing with maintenance planning and scheduling. Part III deals with preventive maintenance in six chapters. Part IV focuses on condition-based maintenance and contains two chapters. Part V deals with integrated production and maintenance models and contains two chapters. Part VI addresses issues related to maintenance and new technologies, and also deals with Just-in-Time (JIT) and Maintenance.


Reliability and Maintenance Modeling with Optimization

Reliability and Maintenance Modeling with Optimization

Author: Mitsutaka Kimura

Publisher: CRC Press

Published: 2023-04-27

Total Pages: 373

ISBN-13: 1000849252

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Reliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area that can be applied to every technical and management field. Reliability and Maintenance Modeling with Optimization: Advances and Applications aims at providing the most recent advances and achievements in reliability and maintenance. The book discusses replacement, repair, and inspection, offers estimation and statistical tests, covers accelerated life testing, explores warranty analysis manufacturing, and includes service reliability. The targeted readers are researchers interested in reliability and maintenance engineering. The book can serve as supplemental reading in professional seminars for engineers, designers, project managers, and graduate students.


Introduction to Maintenance Engineering

Introduction to Maintenance Engineering

Author: Mohamed Ben-Daya

Publisher: John Wiley & Sons

Published: 2016-04-04

Total Pages: 659

ISBN-13: 1118487192

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This introductory textbook links theory with practice using real illustrative cases involving products, plants and infrastructures and exposes the student to the evolutionary trends in maintenance. Provides an interdisciplinary approach which links, engineering, science, technology, mathematical modelling, data collection and analysis, economics and management Blends theory with practice illustrated through examples relating to products, plants and infrastructures Focuses on concepts, tools and techniques Identifies the special management requirements of various engineered objects (products, plants, and infrastructures)


Handbook of Performability Engineering

Handbook of Performability Engineering

Author: Krishna B. Misra

Publisher: Springer Science & Business Media

Published: 2008-08-24

Total Pages: 1331

ISBN-13: 1848001312

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Dependability and cost effectiveness are primarily seen as instruments for conducting international trade in the free market environment. These factors cannot be considered in isolation of each other. This handbook considers all aspects of performability engineering. The book provides a holistic view of the entire life cycle of activities of the product, along with the associated cost of environmental preservation at each stage, while maximizing the performance.


Discussion of the paper “Application of maintenance optimization models: a review and analysis” written by R. Dekker

Discussion of the paper “Application of maintenance optimization models: a review and analysis” written by R. Dekker

Author: Christophe Gouin

Publisher: GRIN Verlag

Published: 2011-05-18

Total Pages: 24

ISBN-13: 364091841X

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Scientific Essay from the year 2011 in the subject Business economics - Business Management, Corporate Governance, grade: 19,5/20, University of Rennes 1, language: English, abstract: Maintenance management and optimization of maintenance is getting more and more important for a large number of companies. The use of automated machines and equip-ment in order to produce goods is very common today; hence companies have to rely on reliable machines which are available and working 100% of the time. In order to attain a flawless working factory, maintenance management is crucial. However companies cannot hope that the decisions they make concerning maintenance management are optimal and they start therefore to use decision support systems based on optimization methods. Also maintenance management is very complex and a lot of different decisions have to be made, like defining maintenance intervals, personal planning, when to buy spare parts, when to replace equipment etc. It is easier for companies to base their decisions on a mathematical program, and therefore the use of maintenance management optimization models arises. Optimization models proved to be very advantageous in other sectors, so it was just a matter of time before optimization methods where ported to maintenance man-agement. Problematic in the case of maintenance optimization are the very specific maintenance problems resulting in a large number of different maintenance optimization models. It is consequently very difficult to get a good overview about the different models and their application. R. Dekker, who has worked a lot on maintenance optimization and on operations research in maintenance management wrote a paper about maintenance optimization methods and their application, ‘Application of maintenance optimization models: a review and analysis’. It summarizes maintenance management in general, gives a brief history of maintenance management, describes different optimization methods, their practical application, problems which can occur by applying the models etc. In this paper, I will discuss the work of R. Dekker; first of all there will be a description of the paper, explaining what it is about and giving a resume of important aspects. In the second section, the paper will be compared to other papers concerning maintenance opti-mization, different and identical aspects will be explained. Furthermore some information will be added in order to simplify the comprehension of maintenance optimization mod-els. Finally I will comment the paper, and give my opinion about the aspects that I liked and what I would describe differently.


On the Maintenance Modeling and Optimization of Repairable Systems

On the Maintenance Modeling and Optimization of Repairable Systems

Author: Suzan Alaswad

Publisher:

Published: 2012

Total Pages: 158

ISBN-13: 9781267794291

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The use of mathematical modeling for the purpose of analyzing and optimizing the performance of repairable systems is widely studied in the literature. In this dissertation, we study two different scenarios on the maintenance modeling and optimization of repairable systems. First, we study the long-run availability of a traditional repairable system that is subjected to imperfect corrective maintenance. We use Kijima's second virtual age model to describe the imperfect repair process. Because of the complexity of the underlying probability models, we use simulation modeling to estimate availability performance and meta-modeling to convert the reliability and maintainability parameters of the repairable system into an availability estimate without the simulation effort. As a last step, we add age-based, perfect preventive maintenance to our analysis. Second, we optimize a preventive maintenance policy for a two-component repairable system. When either component fails, instantaneous, minimal, and costly corrective maintenance is performed on the component. At equally-spaced, discrete points during the system's useful life, the decision-maker has the option to perform instantaneous, imperfect, and costly preventive maintenance on one or both of the components, to instantaneously replace one or both of the components, or to do nothing. We use a Genetic Algorithm in an attempt to find a cost-optimal set of preventive maintenance and replacement decisions.


Discussion of the Paper Âapplication of Maintenance Optimization Models

Discussion of the Paper Âapplication of Maintenance Optimization Models

Author: Christophe Gouin

Publisher: GRIN Verlag

Published: 2011-05

Total Pages: 25

ISBN-13: 3640918320

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Scientific Essay from the year 2011 in the subject Business economics - Business Management, Corporate Governance, grade: 19,5/20, University of Rennes 1, language: English, abstract: Maintenance management and optimization of maintenance is getting more and more important for a large number of companies. The use of automated machines and equip-ment in order to produce goods is very common today; hence companies have to rely on reliable machines which are available and working 100% of the time. In order to attain a flawless working factory, maintenance management is crucial. However companies cannot hope that the decisions they make concerning maintenance management are optimal and they start therefore to use decision support systems based on optimization methods. Also maintenance management is very complex and a lot of different decisions have to be made, like defining maintenance intervals, personal planning, when to buy spare parts, when to replace equipment etc. It is easier for companies to base their decisions on a mathematical program, and therefore the use of maintenance management optimization models arises. Optimization models proved to be very advantageous in other sectors, so it was just a matter of time before optimization methods where ported to maintenance man-agement. Problematic in the case of maintenance optimization are the very specific maintenance problems resulting in a large number of different maintenance optimization models. It is consequently very difficult to get a good overview about the different models and their application. R. Dekker, who has worked a lot on maintenance optimization and on operations research in maintenance management wrote a paper about maintenance optimization methods and their application, 'Application of maintenance optimization models: a review and analysis'. It summarizes maintenance management in general, gives a brief history of maintenance management, describes different optimization methods, their practical a


Real-Time Optimization

Real-Time Optimization

Author: Dominique Bonvin

Publisher: MDPI

Published: 2018-07-05

Total Pages: 255

ISBN-13: 303842448X

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This book is a printed edition of the Special Issue "Real-Time Optimization" that was published in Processes


Modeling and Optimization of Maintenance Systems

Modeling and Optimization of Maintenance Systems

Author: Xiaoyue Jiang

Publisher:

Published: 2001

Total Pages:

ISBN-13:

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This thesis focuses on modeling and optimization of maintenance systems. Although the terminology we use is within the domain of manufacturing industry, we can identify its potentials in IT sections, such as software reliability engineering and communication network management, to name a few. The basic problem we are attacking is how to arrange preventive replacement optimally based on the available information about the system's health condition. Instead of emphasizing the concrete models, which are extremely rich and diverse, we focus on the fundamental methodologies to grasp the essence of this subject. In Chapters 2 to 6, we propose five models, which can be roughly classified into two categories: age-based models (Chapters 2, 3 and 4) and condition-based models (Chapters 5 and 6). While each of the models is of its own practice interest, it serves also as the vehicle to convey the methodologies we integrated from the literature or developed in this thesis. We solve these models in a fairly unified manner. The unified methodology is further summarized in Chapter 7 in terms of a common modeling framework and the associated optimization procedure. We expect that this framework will be valuable for a wide range of applications.


Multi-state System Reliability: Assessment, Optimization And Applications

Multi-state System Reliability: Assessment, Optimization And Applications

Author: Gregory Levitin

Publisher: World Scientific Publishing Company

Published: 2003-03-12

Total Pages: 375

ISBN-13: 981310614X

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Most books on reliability theory are devoted to traditional binary reliability models allowing for only two possible states for a system and its components: perfect functionality and complete failure. However, many real-world systems are composed of multi-state components, which have different performance levels and several failure modes with various effects on the entire system performance (degradation). Such systems are called Multi-State Systems (MSS). The examples of MSS are power systems where the component performance is characterized by the generating capacity, computer systems where the component performance is characterized by the data processing speed, communication systems, etc.This book is the first to be devoted to Multi-State System (MSS) reliability analysis and optimization. It provides a historical overview of the field, presents basic concepts of MSS, defines MSS reliability measures, and systematically describes the tools for MSS reliability assessment and optimization. Basic methods for MSS reliability assessment, such as a Boolean methods extension, basic random process methods (both Markov and semi-Markov) and universal generating function models, are systematically studied. A universal genetic algorithm optimization technique and all details of its application are described. All the methods are illustrated by numerical examples. The book also contains many examples of application of reliability assessment and optimization methods to real engineering problems.The aim of this book is to give a comprehensive, up-to-date presentation of MSS reliability theory based on modern advances in this field and provide a theoretical summary and examples of engineering applications to a variety of technical problems. From this point of view the book bridges the gap between theoretical advances and practical reliability engineering.