Heuristic rules and strategies of assembly planning: experiment and implications in the design of assembly decision support system

It has been observed from an experiment that engineers efficient performance of assembly planning is attributed to their utilization of heuristic rules to generate soft constraints of the assembly sequence, the breadth-first strategy to develop the rough, global plan of the assembly sequence, and the consistent, systematic strategy to finalize the detailed, local plan of the assembly sequence. Those characteristics of the engineers’ assembly planning are used to design the user-centred decision support system to assembly planning.

[1]  C. L. Philip Chen.  Automatic assembly sequences generation by pattern-matching , 1989, IEEE 1989 International Conference on Systems Engineering.

[2]  E. Kroll,et al.  Automatic generation of exploded view by graph transformation , 1993, Proceedings of 9th IEEE Conference on Artificial Intelligence for Applications.

[3]  Jan D. Wolter.  On the automatic generation of assembly plans , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[4]  Riaz Mohammad.  Spatial reasoning about three-dimensional mechanical assemblies , 1993 .

[5]  Alain Delchambre,et al.  Computer-aided Assembly Planning , 1992 .

[6]  C. L. Philip Chen,et al.  A systematic approach for design and planning of mechanical assemblies , 1993, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[7]  C. S. George Lee,et al.  A framework of knowledge-based assembly planning , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.