Joint Optimization of Maintenance and Production Policies PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Joint Optimization of Maintenance and Production Policies PDF full book. Access full book title Joint Optimization of Maintenance and Production Policies by Nidhal Rezg. Download full books in PDF and EPUB format.
Author: Nidhal Rezg Publisher: John Wiley & Sons ISBN: 1118649265 Category : Technology & Engineering Languages : en Pages : 134
Book Description
This book presents the recent work regarding the different approaches developed in the framework of the joint optimization of intelligent maintenance and production strategies. The originality of these strategies is that they take various constraints into account, including production management, subcontracting environmental degradation, inspection and product quality.
Author: Nidhal Rezg Publisher: John Wiley & Sons ISBN: 1118649265 Category : Technology & Engineering Languages : en Pages : 134
Book Description
This book presents the recent work regarding the different approaches developed in the framework of the joint optimization of intelligent maintenance and production strategies. The originality of these strategies is that they take various constraints into account, including production management, subcontracting environmental degradation, inspection and product quality.
Author: Prasad Kishor Patil Publisher: ISBN: Category : Computer simulation Languages : en Pages : 49
Book Description
Machine maintenance policy consists of two important activities: preventive maintenance to avoid potential breakdowns; and the decision once a breakdown has actually occurred either to repair or replace failed machine component. Present study has focused later case and formulates the joint problem of (1) carrying an optimal number of spare part inventory (2) deciding breakdown maintenance actions to be taken by management. A simulation approach is used to formulate a model which can solve joint problem with the objective of minimization of maintenance cost and production loss. - Abstract.
Author: Joseph Mathew Publisher: Springer ISBN: 3319957112 Category : Technology & Engineering Languages : en Pages : 775
Book Description
These proceedings include a collection of papers on a range of topics presented at the 12th World Congress on Engineering Asset Management (WCEAM) in Brisbane, 2 – 4 August 2017. Effective strategies are required for managing complex engineering assets such as built environments, infrastructure, plants, equipment, hardware systems and components. Following the release of the ISO 5500x set of standards in 2014, the 12th WCEAM addressed important issues covering all aspects of engineering asset management across various sectors including health. The topics discussed by the congress delegates are grouped into a number of tracks, including strategies for investment and divestment of assets, operations and maintenance of assets, assessment of assets’ health conditions, risk and vulnerability, technologies, and systems for management of assets, standards, education, training and certification.
Author: Ravipudi Venkata Rao Publisher: Springer ISBN: 3319789228 Category : Technology & Engineering Languages : en Pages : 345
Book Description
This book introduces readers to the “Jaya” algorithm, an advanced optimization technique that can be applied to many physical and engineering systems. It describes the algorithm, discusses its differences with other advanced optimization techniques, and examines the applications of versions of the algorithm in mechanical, thermal, manufacturing, electrical, computer, civil and structural engineering. In real complex optimization problems, the number of parameters to be optimized can be very large and their influence on the goal function can be very complicated and nonlinear in character. Such problems cannot be solved using classical methods and advanced optimization methods need to be applied. The Jaya algorithm is an algorithm-specific parameter-less algorithm that builds on other advanced optimization techniques. The application of Jaya in several engineering disciplines is critically assessed and its success compared with other complex optimization techniques such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), Artificial Bee Colony (ABC), and other recently developed algorithms.
Author: Sheldon M. Ross Publisher: Academic Press ISBN: 1483269094 Category : Mathematics Languages : en Pages : 179
Book Description
Introduction to Stochastic Dynamic Programming presents the basic theory and examines the scope of applications of stochastic dynamic programming. The book begins with a chapter on various finite-stage models, illustrating the wide range of applications of stochastic dynamic programming. Subsequent chapters study infinite-stage models: discounting future returns, minimizing nonnegative costs, maximizing nonnegative returns, and maximizing the long-run average return. Each of these chapters first considers whether an optimal policy need exist—providing counterexamples where appropriate—and then presents methods for obtaining such policies when they do. In addition, general areas of application are presented. The final two chapters are concerned with more specialized models. These include stochastic scheduling models and a type of process known as a multiproject bandit. The mathematical prerequisites for this text are relatively few. No prior knowledge of dynamic programming is assumed and only a moderate familiarity with probability— including the use of conditional expectation—is necessary.
Author: Khairy Ahmed Helmy Kobbacy Publisher: Springer Science & Business Media ISBN: 1848000111 Category : Technology & Engineering Languages : en Pages : 649
Book Description
This utterly comprehensive work is thought to be the first to integrate the literature on the physics of the failure of complex systems such as hospitals, banks and transport networks. It has chapters on particular aspects of maintenance written by internationally-renowned researchers and practitioners. This book will interest maintenance engineers and managers in industry as well as researchers and graduate students in maintenance, industrial engineering and applied mathematics.
Author: Mohamed Ben-Daya Publisher: Springer Science & Business Media ISBN: 1848824726 Category : Technology & Engineering Languages : en Pages : 745
Book Description
To be able to compete successfully both at national and international levels, production systems and equipment must perform at levels not even thinkable a decade ago. Requirements for increased product quality, reduced throughput time and enhanced operating effectiveness within a rapidly changing customer demand environment continue to demand a high maintenance performance. In some cases, maintenance is required to increase operational effectiveness and revenues and customer satisfaction while reducing capital, operating and support costs. This may be the largest challenge facing production enterprises these days. For this, maintenance strategy is required to be aligned with the production logistics and also to keep updated with the current best practices. Maintenance has become a multidisciplinary activity and one may come across situations in which maintenance is the responsibility of people whose training is not engineering. This handbook aims to assist at different levels of understanding whether the manager is an engineer, a production manager, an experienced maintenance practitioner or a beginner. Topics selected to be included in this handbook cover a wide range of issues in the area of maintenance management and engineering to cater for all those interested in maintenance whether practitioners or researchers. This handbook is divided into 6 parts and contains 26 chapters covering a wide range of topics related to maintenance management and engineering.
Author: Leila Jafari Publisher: ISBN: Category : Languages : en Pages :
Book Description
Modern manufacturing aims at reduction of inventories and safety stocks and, simultaneously, it is important to avoid shortages caused by production systems' failures. The economic manufacturing quantity (EMQ) models have been developed to address these objectives. Most previous research in the joint optimization of production and maintenance policies considered only the machine age or usage time, and do not incorporate condition monitoring (CM) information for decision making. This research presents new models for the joint optimization of CBM and lot sizing, depending on the nature of the collected data through CM, whether it is fully or partially observable. The former case is incorporated in the EMQ problem using proportional hazards model. The hazard rate of the machine is monitored at the end of each production run. When it exceeds the critical level, then preventive maintenance is performed. The corrective maintenance is carried out upon failure. The PH model is extended to multi-unit systems, where one unit is the core part of the system, subject to CM, and only age information of the second unit is available. The other units are adjusted or replaced when the system is maintained. The objective is to find an optimal opportunistic maintenance policy minimizing the long-run expected average cost per unit time. The joint optimization of EMQ and CBM is investigated for a partially observable deteriorating system subject to random failure using Bayesian control techniques. The posterior probability that the process operates in the unhealthy condition is updated at the end of each production run. When this statistic crosses the control limit, then full inspection is performed followed possibly by preventive maintenance. The objective is to find the optimal production and maintenance policy minimizing the long-run expected average cost. To get new insights into the value of CBM programs, we extend the model considering a two-unit series system to a more complex system. We also develop an optimal production and maintenance policy considering stochastic demand and introducing the safety stock. The optimization problem is formulated in the semi-Markov decision process framework and Markov renewal theory. The methodologies are illustrated with numerical examples using simulated and real data.
Author: R. Keith Mobley Publisher: Elsevier ISBN: 0080478697 Category : Technology & Engineering Languages : en Pages : 451
Book Description
This second edition of An Introduction to Predictive Maintenance helps plant, process, maintenance and reliability managers and engineers to develop and implement a comprehensive maintenance management program, providing proven strategies for regularly monitoring critical process equipment and systems, predicting machine failures, and scheduling maintenance accordingly. Since the publication of the first edition in 1990, there have been many changes in both technology and methodology, including financial implications, the role of a maintenance organization, predictive maintenance techniques, various analyses, and maintenance of the program itself. This revision includes a complete update of the applicable chapters from the first edition as well as six additional chapters outlining the most recent information available. Having already been implemented and maintained successfully in hundreds of manufacturing and process plants worldwide, the practices detailed in this second edition of An Introduction to Predictive Maintenance will save plants and corporations, as well as U.S. industry as a whole, billions of dollars by minimizing unexpected equipment failures and its resultant high maintenance cost while increasing productivity. A comprehensive introduction to a system of monitoring critical industrial equipment Optimize the availability of process machinery and greatly reduce the cost of maintenance Provides the means to improve product quality, productivity and profitability of manufacturing and production plants
Author: Nidhal Rezg
Author: Nidhal Rezg
Author: Shuaizi Li
Author: Prasad Kishor Patil
Author: Joseph Mathew
Author: Ravipudi Venkata Rao
Author: Sheldon M. Ross
Author: Khairy Ahmed Helmy Kobbacy
Author: Mohamed Ben-Daya
Author: Leila Jafari
Author: R. Keith Mobley