Modeling and Analysis of Manufacturing Systems
by Ronald G. Askin
from Wiley
Unique in its focus on design and analysis methodologies for all areas of material flow management and system resource usage. Features research techniques that demonstrate the difference between opinions and findings, leading-edge approach to facility layout and a comprehensive queueing network. Progressive examples illustrate that there is more than one model for a system and case studies show integration of multiple techniques for realistic model building and problem solving.
Enterprise Architecture and New Generation Information Systems
by Dimitris N. Chorafas
from CRC
Based on an extensive research project done by the author in the United States, Britain, Germany, France, Switzerland, Sweden, and Austria from December 1999 to June 2001, Enterprise Architecture and New Generation Information Systems focuses on four main themes: · Next Generation Information Technology · The Likely Technologies of this Decade · Enterprise Computing · The Internet as the 21st Century's Answer to Merchandising While the majority of books presently available on information systems are written from the viewpoint of system analysis, programming, or common applications, this text: · Brings to the reader's attention the importance of organization and infrastructure · Presents a wealth of case studies to explain the need for reengineering and restructuring · Details the latest advances which influence the implementation of advanced technology Written in a simple, comprehensive manner without specific prerequisites and data processing jargon, with concepts and case studies properly explained, this book addresses itself to practitioners in computer technology, telecommunications and software development, who are interested in acquiring skills through knowledge of the most advanced applications, tools, and methods, both present and coming. Enterprise Architecture and New Generation Information Systems will prove appealing to every person charged with planning, developing, applying, and delivering advanced information systems, architectural solutions, and programming products.
Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems: A Volume in ... in Operations Research & Management Science)
from Springer
This edited volume contains sixteen research articles and presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. One of the salient features is that the book is highly multi-disciplinary. It assembles experts from the fields of operations research, control theory and optimization, stochastic analysis, and financial engineering to review and substantially update the recent progress in these fields. Another distinct characteristic of the book is that all papers are motivated by applications in which optimization, control, and stochastics are inseparable. The book will be a timely addition to the literature and will be of interest to people working in the aforementioned fields.
Most importantly, this volume is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday. In view of his fundamental contributions, his distinguished career, his substantial achievements, his influence on the areas of control theory and applications, operations research, and management science, and his dedication to the scientific community, a number of leading experts in the fields of optimization, control, and operation management, have contributed to this volume in honor of him.
Stochastic Models of Manufacturing Systems (Prentice-Hall International Series in Industrial and Systems Engineering)
Outlining the major issues that have to be addressed in the design and operation of each type of system, this new text explores the stochastic models of a wide range of manufacturing systems. It covers flow lines, job shops, transfer lines, flexible manufacturing systems, flexible assembly systems, cellular systems, and more. For professionals working in the area of manufacturing system modelling.
Mass Customization: Challenges and Solutions (International Series in Operations Research & Management Science)
from Springer
Mass Customization: Challenges and Solutions defines the parameters of the emerging business strategy, mass customization. The book will cover the main categories of the area with a systematic examination of the following themes: manufacturing systems and mass customization, supply chain management and mass customization, and information systems and mass customization.
In addition to being tightly organized by themes and a carefully selected group of contributors, the Editors will write introductory material to the sections along with introductory and concluding chapters. The result is a book that provides the field with the conceptual framework of mass customization, its tools, its solutions, and real-world examples of successful implementations of the business strategy. An important book for academics working in production operations, production manufacturing, industrial engineering, logistics, supply chain management, and industry practitioners.
Just-in-Time Scheduling: Models and Algorithms for Computer and Manufacturing Systems (International Series in Operations Research & Management Science)
by Joanna Józefowska
from Springer
As the field of Supply Chain Management has matured, maintaining the precise flow of goods to maintain schedules (hence, minimizing inventories) on a just-in-time basis still remains as a major challenge. This problem or challenge has resulted in a fair amount of quantitative research in the area, producing an array of models and algorithms to help ensure the precise flow of components and final products into inventories to meet just-in-time requirements.
Just-in-Time Scheduling: Models and Algorithms for Real Time Operating Systems is the first expository treatment surveying the theoretical work on computer systems models and algorithms utilized in just-in-time scheduling. With the impact of globalization and supply chains on manufacturing, there are immense amounts of material flowing through supply chains at any given time worldwide. Therefore the scheduling of all the stages of material arriving at different geographical points at precise times is a highly significant problem. Moreover, the theoretical work in this area has larger ramifications for operational scheduling in many application areas. The scheduling models and algorithms presented and illustrated in the book will be done so in the context of extensive use of computer systems in a "real time context." The "just-in-time" and "real-time" theoretical work in the book will be of value and interest to many Engineers, Computer Scientists and Operations Research/Management Science researchers, students and practitioners. The book will survey and synthesize all the research in this topical area.
Effective Resource Management in Manufacturing Systems: Optimization Algorithms for Production Planning (Springer Series in Advanced Manufacturing)
by Massimiliano Caramia
from Springer
Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Managers are asked to assign production facilities over time to parallel activities respecting operational constraints and deadlines while keeping resource costs as low as possible. Thus, classic scheduling approaches are not adequate when (i) a task simultaneously requires a set of different resources and (ii) a trade-off between different objectives (like time, cost and workload balance) should be reached. In such a case, more sophisticated models and algorithms should be brought to the attention of managers and executives of manufacturing companies.
Effective Resource Management in Manufacturing Systems aims to provide robust methods for achieving effective resource allocation and to solve related problems that occur daily and often generate cost overruns, specifically focusing on problems like resource levelling, sizing of machines and production layouts, cost optimization in production planning and scheduling. This approach is based on providing quantitative methods, covering both mathematical programming and algorithms, leading to high quality solutions for the analysed problems. Details of extensive experimentation is provided for the proposed techniques to put them in a practical perspective, so that, on the one hand, the reader can reproduce them, and, on the other hand, it appears clear how they can be implemented in real scenarios.
This book will be a valuable resource for postgraduate students studying business, engineering or computer science. It will also be of interest to researchers in the fore-mentioned areas.
Queueing Methods: For Services and Manufacturing (Prentice Hall International Series in Industrial and Systems Engineering)
by Randolph W. Hall
from Prentice Hall
M->CREATED
Manufacturing Optimization through Intelligent Techniques (Manufacturing Engineering and Materials Processing)
by Rajendran Saravanan
from CRC
Providing in-depth knowledge of how to implement the myriad conventional and intelligent techniques, this book delineates the different types of manufacturing optimization problems as well as the conventional and intelligent techniques for solving them. The author explores how to model optimization problems, select suitable techniques, develop the optimization algorithm and software, and implement the program. He covers how to develop and implement effective optimization procedures and algorithms for a wide variety of problems in design manufacturing. The book delineates five new techniques and all the manufacturing functions described have been successfully solved by Genetic Algorithm.
Stochastic Modeling of Manufacturing Systems: Advances in Design, Performance Evaluation, and Control Issues
from Springer
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.
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