Optimal Production Planning for PCB Assembly

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.

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.