Throughput Optimization in Robotic Cells

Author:   Milind W Dawande ,  H Neil Geismar ,  Suresh P Sethi
Publisher:   Springer
Volume:   399
ISBN:  

9780387518152


Pages:   440
Publication Date:   25 August 2008
Format:   Undefined
Availability:   Out of stock   Availability explained


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Throughput Optimization in Robotic Cells


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Overview

Modern manufacturing processes have thoroughly incorporated automation and repetitive processing. The use of computer-controlled material handling systems to convey raw materials through the multiple processing stages required to produce a finished product is widely employed in industry world-wide. Central to these systems are robot-served manufacturing cells, or robotic cells. These cells perform a variety of functions including arc welding, material handling, electroplating, textiles creation, and machining. In addition, they are used in many different industries, including injection molding of battery components, glass manufacturing and processing, building products, cosmetics, lawn tractors, fiber-optics, and semi-conductor manufacturing. In the medical field, robotic cells are used to produce components for magnetic resonance imaging systems, for automated pharmacy compounding, to process nucleic acids, and to generate compounds for tests in relevant biological screens. Cells for grinding, polishing, and buffing handle many products, including rotors, stainless steel elbows for the chemical and the food industries, sink levers and faucets, propane tanks, flatware, automotive products, and more. All of this has resulted with the rapid growth of robotic cell scheduling. As manufacturers have employed them in greater numbers and greater varieties, analysts have developed new models and techniques to maximize these cells productivity. Competitive pressures will result in the development of more advanced cells and, hence, more sophisticated studies. Therefore, robotic cell scheduling should continue to attract the attention of a growing number of practitioners and researchers.

THROUGHPUT OPTIMIZATION IN ROBOTIC CELLS is a comprehensive introduction to the field of robotic scheduling. It discusses the basic properties of robotic cells and outlines in detail the tools most often used to analyze them. In doing so, the book will provide a thorough algorithmic analysis of optimal policies for a variety of implementations. The book provides a classification scheme for robot cell scheduling problems that is based on cell characteristics, and discusses the influence of these characteristics on the methods of analysis employed. Implementation issues are stressed. Specifically, these issues are explored in terms of implementing solutions and open problems.

Full Product Details

Author:   Milind W Dawande ,  H Neil Geismar ,  Suresh P Sethi
Publisher:   Springer
Imprint:   Springer
Volume:   399
Dimensions:   Width: 23.40cm , Height: 2.30cm , Length: 15.60cm
Weight:   0.612kg
ISBN:  

9780387518152


ISBN 10:   0387518150
Pages:   440
Publication Date:   25 August 2008
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Unknown
Availability:   Out of stock   Availability explained

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<p>From the reviews: <p><p> This book presents results on sequencing and scheduling problems arising in robotic cells. This book is a comprehensive approach for scheduling in flexible manufacturing of robotic cells. The book is equally interesting for use in university courses as well as for practitioners. (Erwin Pesch, Zentralblatt MATH, Vol. 1155, 2009)<p> This book deals with automated material movements, and especially their optimal design. This book will be a useful resource for students, practitioners, and researchers. this book and its contents are easily understandable to graduate students and researchers who are new to this area. This book would be an excellent reference source for any reader who is broadly interested in the optimization of automated manufacturing environments. It could also be used as a textbook for an advanced two-semester graduate-level course. (Srinagesh Gavirneni, Interfaces, Vol. 39 (1), January-February, 2009)


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