Handbook Of Stochastic Models And Analysis Of Manufacturing System Operations PDF Download
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| Author | : J. MacGregor Smith |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 397 |
| Release | : 2013-05-17 |
| Genre | : Business & Economics |
| ISBN | : 1461467772 |
Download Handbook of Stochastic Models and Analysis of Manufacturing System Operations Book in PDF, ePub and Kindle
This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering: • Stochastic modeling and analysis of manufacturing systems • Design, analysis, and optimization of manufacturing systems • Facilities planning, transportation, and material handling systems analysis • Production planning, scheduling systems, management, and control • Analytical approaches to logistics and supply chain management • Integrated productivity and quality models, and their analysis • Literature surveys of issues relevant in manufacturing systems • Case studies of manufacturing system operations and analysis Today’s manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems.
| Author | : David D. Yao |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 369 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 1461226708 |
Download Stochastic Modeling and Analysis of Manufacturing Systems Book in PDF, ePub and Kindle
Manufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems research or been demonstrated to have significant potential in such research. The editor has invited a number of leading experts to present detailed expositions of specific topics. These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling. Each chapter has been written with graduate students in mind, and several have been used in graduate courses that teach the modeling and analysis of manufacturing systems.
| Author | : David D. Yao |
| Publisher | : Springer |
| Total Pages | : 360 |
| Release | : 1994-01-01 |
| Genre | : Production management |
| ISBN | : 9783540943198 |
Download Stochastic Modeling and Analysis of Manufacturing Systems Book in PDF, ePub and Kindle
| Author | : George Liberopoulos |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 363 |
| Release | : 2005-12-12 |
| Genre | : Business & Economics |
| ISBN | : 3540290575 |
Download Stochastic Modeling of Manufacturing Systems Book in PDF, ePub and Kindle
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.
| Author | : John A. Buzacott |
| Publisher | : Englewood Cliffs, N.J. : Prentice Hall |
| Total Pages | : 586 |
| Release | : 1993 |
| Genre | : Business & Economics |
| ISBN | : |
Download Stochastic Models of Manufacturing Systems Book in PDF, ePub and Kindle
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.
| Author | : Tayfur Altiok |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 372 |
| Release | : 1997 |
| Genre | : Business & Economics |
| ISBN | : 0387947736 |
Download Performance Analysis of Manufacturing Systems Book in PDF, ePub and Kindle
The past two decades have seen a great deal of research into the stochastic modelling of production, manufacturing, and inventory systems for the purpose of improving their performance. This book provides a graduate-level introduction to these techniques covering exact, approximate, and numerical techniques. The author has aimed to strike a balance between theoretical issues and the practical aspects of modelling manufacturing systems. It is based on graduate courses given to operations research and industrial engineering students and includes numerous examples and exercises.
| Author | : Mohring, Uta |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 282 |
| Release | : 2022-09-15 |
| Genre | : Business & Economics |
| ISBN | : 3731512114 |
Download Performance Analysis and Capacity Planning of Multi-stage Stochastic Order Fulfilment Systems with Levelled Order Release and Order Deadlines Book in PDF, ePub and Kindle
Order fulfilment systems are forced to manage a volatile customer demand while meeting customer-required short order deadlines. To handle these challenges, we introduce the Strategy of Levelled Order Release (LOR) for workload balancing over time. The contributions of this work are (1) the workload balancing concept LOR, (2) a discrete-time Markov chain for performance analysis, and (3) an algorithm for capacity planning under performance constraints in order fulfilment systems with LOR.
| Author | : Guy L. Curry |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 350 |
| Release | : 2010-11-10 |
| Genre | : Technology & Engineering |
| ISBN | : 3642166180 |
Download Manufacturing Systems Modeling and Analysis Book in PDF, ePub and Kindle
This text presents the practical application of queueing theory results for the design and analysis of manufacturing and production systems. This textbook makes accessible to undergraduates and beginning graduates many of the seemingly esoteric results of queueing theory. In an effort to apply queueing theory to practical problems, there has been considerable research over the previous few decades in developing reasonable approximations of queueing results. This text takes full advantage of these results and indicates how to apply queueing approximations for the analysis of manufacturing systems. Support is provided through the web site http://msma.tamu.edu. Students will have access to the answers of odd numbered problems and instructors will be provided with a full solutions manual, Excel files when needed for homework, and computer programs using Mathematica that can be used to solve homework and develop additional problems or term projects. In this second edition a separate appendix dealing with some of the basic event-driven simulation concepts has been added.
| Author | : Alexander Zeifman |
| Publisher | : MDPI |
| Total Pages | : 216 |
| Release | : 2019-12-12 |
| Genre | : Mathematics |
| ISBN | : 3039219626 |
Download Stochastic Processes Book in PDF, ePub and Kindle
The aim of this special issue is to publish original research papers that cover recent advances in the theory and application of stochastic processes. There is especial focus on applications of stochastic processes as models of dynamic phenomena in various research areas, such as queuing theory, physics, biology, economics, medicine, reliability theory, and financial mathematics. Potential topics include, but are not limited to: Markov chains and processes; large deviations and limit theorems; random motions; stochastic biological model; reliability, availability, maintenance, inspection; queueing models; queueing network models; computational methods for stochastic models; applications to risk theory, insurance and mathematical finance.
| Author | : Edmundas Kazimieras Zavadskas |
| Publisher | : MDPI |
| Total Pages | : 320 |
| Release | : 2019-03-08 |
| Genre | : Technology & Engineering |
| ISBN | : 3038976423 |
Download Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management Book in PDF, ePub and Kindle
Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business and engineering processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches, in addition to a single paper proposing an interactive multi-objective decision-making (MODM) approach. Particular attention is devoted to information aggregation operators—65% of papers dealt with this item. The topics of this Special Issue gained attention in Europe and Asia. A total of 48 authors from seven countries contributed to this Issue. The papers are mainly concentrated in three application areas: supplier selection and rational order allocation, the evaluation and selection of goods or facilities, and personnel selection/partner selection. A number of new approaches are proposed that are expected to attract great interest from the research community.
