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Stochastic Models of Manufacturing Systems
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.
Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains
This volume originates from two workshops, both focusing on themes that are reflected in the title of the volume. The first workshop took place at Eindhoven University of Technology, April 24-26, 2001, on the occasion of the University granting a doctorate honoris causa to Profes sor John A. Buzacott. The second workshop was held on June 15, 2002 at Cornell University (preceding the annual INFORMSjMSOM Confer ence), honoring John's retirement and his lifetime contributions. Each of the two workshops consisted of about a dozen technical presentations. The objective of the volume, however, is not to simply publish the proceedings of the two workshops. Rather, our objective is to put to gether a select set of articles, each organized into a well-written chapter, focusing on a timely topic. Collected into a single volume, these chapters aim to serve as a useful reference for researchers and practitioners alike, and also as reading materials for graduate courses or seminars.
Stochastic Modeling and Analysis of Manufacturing Systems
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.
Scale in Production Systems
IIASA Proceedings Series, Volume 15: Scale in Production Systems focuses on the applications of scale in the industries. The book is based on a workshop held at the International Institute for Applied Systems Analysis in June 1979 as part of the research program of the Management and Technology Area. The selection first underscores the problems of scale and revision of approaches in the evaluation of scale economies in industry. Discussions focus on empirical perspectives on improving appraisals of scale effects; analytical limitations of past theory and empirical findings; interpretation of analytical findings; and approaches to the study of scale problems. The text then takes a look at the...
Handbook of Stochastic Models and Analysis of Manufacturing System Operations
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 ...
Analysis and Modeling of Manufacturing Systems
Analysis and Modeling of Manufacturing Systems is a set of papers on some of the newest research and applications of mathematical and computational techniques to manufacturing systems and supply chains. These papers deal with fundamental questions (how to predict factory performance: how to operate production systems) and explicitly treat the stochastic nature of failures, operation times, demand, and other important events. Analysis and Modeling of Manufacturing Systems will be of interest to readers with a strong background in operations research, including researchers and mathematically sophisticated practitioners.
Progress in Materials Handling and Logistics
Material handling and logistics have become especially important to industrialists because of the competitive advantage that results from using the right methods to provide the right amount of the right material at the right place, at the right time, in the right condition, in the right sequence, in the right orientation, and at the right cost. But, what are the right methods? The emergence of sophisticated control systems, coupled with advances in hardware design, has resulted in a wide variety oftechno logical alternatives availablefor practically any application. Yet, with the emergence of just-in-time methods and the apparent success of the firms that have relied on the use of people and...
The baptist Magazine
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