Optimal Production Planning for PCB Assembly (Springer Series in Advanced Manufacturing) - Softcover

Ho, William; Ji, Ping

Softcover

ISBN 10: 1849966133 ISBN 13: 9781849966139

Publisher: Springer, 2010

Synopsis

Printed circuit boards (PCBs) play a vital role in our daily lives. With increasing applications of PCBs, one way to increase a PCB manufacturer’s competitiveness in terms of operation efficiency is to minimize production time.

This is the first book to focus on the optimization of the PCB assembly lines’ efficiency. It integrates the component sequencing and the feeder arrangement problems together for the pick-and-place machine and the chip shooter machines; constructs mathematical models and develops an effective heuristic solution approach for the integrated problems of placement machines, the line assignment problem, and the component allocation problem; and develops a prototype of the PCB assembly planning system.

The techniques proposed will enable process planners in the electronics industry to improve their assembly line’s efficiency. Graduate students in operations research can use this to familiarise themselves with the techniques and applications of mathematical modeling.

About this title

About the Author

William Ho is a Lecturer in the Operations & Information Management Group at the Aston Business School, Aston University, UK. In 2004, he obtained his Ph.D. from the Department of Industrial and Systems Engineering at the Hong Kong Polytechnic University, Hong Kong. His research areas include Operations Management, Operations Research, and Knowledge Management.

Dr Ji worked in Beijing University of Aeronautics and Astronautics during 1985 and 1987 as teaching staff. He has also worked at the National University of Singapore (NUS) and GINTIC Institute of Manufacturing Technology, Singapore. He joined the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University in 1996, and currently he is an Associate Professor there. His research interests are Operations Management, Operations Research, and CAD/CAM.

From the Back Cover

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 theapplications of information and communication technology (ICT) in manufacturing.

Edition details

• Publisher: Springer
• Publication date: 2010
• Language: English
• ISBN 10: 1849966133
• ISBN 13: 9781849966139
• Binding: Paperback
• Number of pages: 130