Maintenance Modeling And Optimization

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 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.

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.

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)

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.

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

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)