Optimal component-insertion sequenceplanning methodology for the semiautomatic assembly of printed circuit boards

Abstract

One of the primary concerns in the manufacturing of printed circuit boards (PCBs) is the definition of optimum component-insertion sequences for manual and automated operations. The problem is dynamic and multiple feasible solutions can be found. The research work described in this paper has developed a component-insertion sequencing methodology and a ‘proof-of-concept’ expert system for printed circuit boards. This system solves the component-insertion sequencing problem for semi-automated work cells which utilize a light guiding system to identify for the operator where to assemble the next component. The innovation of the methodology is the application of Artificial Intelligence and Expert Systems techniques to represent the human reasoning involved in semi-automated PCB assembly planning. Based on established assembly criteria, sequencing decision rules and data available from a CAD system, the methodology leads to optimum component-insertion sequences.