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.


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.


Planning and Control of Maintenance Systems

Planning and Control of Maintenance Systems

Author: Salih Duffuaa

Publisher: John Wiley & Sons

Published: 1999

Total Pages: 408

ISBN-13: 9780471179818

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Planning and Control of Maintenance Systems is the first book to address maintenance and repair from an engineering perspective. Using the innovative concept of total productive maintenance (TPM) and written by three renowned experts in statistics, operations research, and engineering, it is an essential tool for planning a maintenance system using statistical and optimization techniques in order to avert equipment failure. Suitable for engineers and managers in capital-intensive industry, as well as for first-year graduate students and undergraduates in mechanical or industrial engineering.


Technical System Maintenance

Technical System Maintenance

Author: Sylwia Werbińska-Wojciechowska

Publisher: Springer

Published: 2019-01-09

Total Pages: 361

ISBN-13: 3030107884

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This book provides a detailed introduction to maintenance policies and the current and future research in these fields, highlighting mathematical formulation and optimization techniques. It comprehensively describes the state of art in maintenance modelling and optimization for single- and multi-unit technical systems, and also investigates the problem of the estimation process of delay-time parameters and how this affects system performance. The book discusses delay-time modelling for multi-unit technical systems in various reliability structures, examining the optimum maintenance policies both analytically and practically, focusing on a delay-time modelling technique that has been employed by researchers in the field of maintenance engineering to model inspection intervals. It organizes the existing work into several fields, based mainly on the classification of single- and multi-unit models and assesses the applicability of the reviewed works and maintenance models. Lastly, it identifies potential future research directions and suggests research agendas. This book is a valuable resource for maintenance engineers, reliability specialists, and researchers, as it demonstrates the latest developments in maintenance, inspection and delay-time-based maintenance modelling issues. It is also of interest to graduate and senior undergraduate students, as it introduces current theory and practice in maintenance modelling issues, especially in the field of delay-time modelling.


Planning and Control of Maintenance Systems

Planning and Control of Maintenance Systems

Author: Salih O. Duffuaa

Publisher: Springer

Published: 2015-07-11

Total Pages: 361

ISBN-13: 3319198033

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Analyzing maintenance as an integrated system with objectives, strategies and processes that need to be planned, designed, engineered, and controlled using statistical and optimization techniques, the theme of this book is the strategic holistic system approach for maintenance. This approach enables maintenance decision makers to view maintenance as a provider of a competitive edge not a necessary evil. Encompassing maintenance systems; maintenance strategic and capacity planning, planned and preventive maintenance, work measurements and standards, material (spares) control, maintenance operations and control, planning and scheduling, maintenance quality, training, and others, this book gives readers an understanding of the relevant methodology and how to apply it to real-world problems in industry. Each chapter includes a number exercises and is suitable as a textbook or a reference for a professionals and practitioners whilst being of interest to industrial engineering, mechanical engineering, electrical engineering, and industrial management students. It can also be used as a textbook for short courses on maintenance in industry. This text is the second edition of the book, which has four new chapters added and three chapters are revised substantially to reflect development in maintenance since the publication of the first edition. The new chapters cover reliability centered maintenance, total productive maintenance, e-maintenance and maintenance performance, productivity and continuous improvement.


Selective Maintenance Modelling and Optimization

Selective Maintenance Modelling and Optimization

Author: Yu Liu

Publisher: Springer Nature

Published: 2023-01-20

Total Pages: 197

ISBN-13: 3031173236

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This book is a detailed introduction to selective maintenance and updates readers on recent advances in this field, emphasizing mathematical formulation and optimization techniques. The book is useful for reliability engineers and managers engaged in the practice of reliability engineering and maintenance management. It also provides references that will lead to further studies at the end of each chapter. This book is a reference for researchers in reliability and maintenance and can be used as an advanced text for 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)


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.