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Optimal Production Planning for PCB Assembly

Език Английски езикАнглийски език
Книга С меки корици
Книга Optimal Production Planning for PCB Assembly William Ho
Код Либристо: 01434529
Издателство Springer, Berlin, ноември 2009
It is indisputable that printed circuit boards (PCBs) play a vital role in our daily lives. With the... Цялото описание
? points 263 b
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212.32  лв
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It is indisputable that printed circuit boards (PCBs) play a vital role in our daily lives. With the ever-increasing applications of PCBs, one of the crucial ways to increase a PCB manufacturer s competitiveness in terms of operation efficiency is to minimize the production time so that the products can be introduced to the market sooner. §Optimal Production Planning for PCB Assembly is the first book to focus on the optimization of the PCB assembly lines efficiency. This is done by: integrating the component sequencing and the feeder arrangement problems together for both the pick-and-place machine and the chip shooter machine; constructing mathematical models and developing an efficient and effective heuristic solution approach for the integrated problems for both types of placement machines, the line assignment problem, and the component allocation problem; and developing a prototype of the PCB assembly planning system. §The techniques proposed in Optimal Production Planning for PCB Assembly will enable process planners in the electronics manufacturing industry to improve the assembly line s efficiency in their companies. Graduate students in operations research can familiarise themselves with the techniques and the applications of mathematical modeling after reading this advanced introduction to optimal production planning for PCB assembly.This advanced introduction to optimal production planning for PCB assembly details ways a reader can improve the efficiency of the assembly line in their company. It presents mathematical modeling techniques and heuristic solution approaches to optimize some critical PCB assembly problems arising in the industry.It is indisputable that printed circuit boards (PCBs) play a vital role in our daily life. With the ever-increasing applications of PCBs, one of the crucial ways to increase a PCB company s competitiveness in terms of operation efficiency is to minimize the production time so that the products can be introduced to the market sooner. §Optimal Production Planning for PCB Assembly is the first book to focus on the optimization of the PCB assembly line s efficiency. This is done by: §integrating the component sequencing and the feeder arrangement problems together for both the pick-and-place machine and the chip shooter machine;§constructing mathematical models and developing an efficient and effective heuristic solution approach for the integrated problems for both types of placement machines, the line assignment problem, and the component allocation problem;§developing a prototype of the PCB assembly planning system. §The techniques proposed in Optimal Production Planning for PCB Assembly will enable process planners in the electronics manufacturing industry to improve the assembly line s efficiency in their companies. Graduate students in operations research will be familiar with the techniques and the applications of mathematical modeling after reading this advanced introduction to optimal production planning for PCB assembly. §The Springer Series in Advanced Manufacturing publishes the best teaching and reference material to support students, educators and practitioners in manufacturing technology and management. This international series includes advanced textbooks, research monographs, edited works and conference proceedings covering all subjects in advanced manufacturing. The series focuses on new topics of interest, new treatments of more traditional areas and coverage of the applications of information and communication technology (ICT) in manufacturing.

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Информация за книгата

Пълно заглавие Optimal Production Planning for PCB Assembly
Автор William Ho, Ping Ji
Език Английски език
Корици Книга - С меки корици
Дата на издаване 2010
Брой страници 121
Баркод 9781849966139
ISBN 1849966133
Код Либристо 01434529
Издателство Springer, Berlin
Тегло 213
Размери 156 x 234 x 7
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