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Optimal Production Planning for PCB Assembly

  • William Ho
  • Ping Ji

Part of the Springer Series in Advanced Manufacturing book series (SSAM)

About this book

Introduction

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.

Keywords

Genetic Algorithm Operations Management Operations Research PCB Assembly Production Planning electronics mathematical modeling modeling optimization

Authors and affiliations

  • William Ho
    • 1
  • Ping Ji
    • 2
  1. 1.Operations and Information Management Group Aston Business SchoolAston UniversityBirminghamUK
  2. 2.Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityKowloon Hong Kong

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84628-500-4
  • Copyright Information Springer-Verlag London Limited 2007
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84628-499-1
  • Online ISBN 978-1-84628-500-4
  • Series Print ISSN 1860-5168
  • Buy this book on publisher's site
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