Title :
Minimal infeasible sets of connections: a representation for efficient assembly sequence planning
Author :
Abrantes, Maria João ; White, C. ; Nicholson, Ann
Author_Institution :
Dept. Digital Syst., Monash Univ., Clayton, Vic., Australia
Abstract :
This paper describes methods aimed at increasing the efficiency of cutset-based assembly sequence planners by: (i) providing an alternative representation to precedence constraints which is easy to maintain and facilitates the logical evaluation of assembly operations, (ii) maximizing the reuse of previous results of assembly operation feasibility evaluations and (iii) using exact and heuristic assembly knowledge encoded in a knowledge-based system, which may provide time saving shortcuts to the direct use of geometric algorithms. It is formally proved that in this method it is sufficient to evaluate directly the assembly operations corresponding to the decompositions of a product in its completely assembled state for the generation of all assembly sequences of a product. The feasibility of any other operation, that may be performed in the assembly of the product, can then be logically inferred from these evaluation results. A simple and well known assembly is used to illustrate the application of the approach and facilitate a comparison with other methods
Keywords :
assembling; geometry; heuristic programming; planning; IKBS; assembly operation feasibility evaluation; connections; cutset-based assembly sequence planners; exact assembly knowledge; geometric algorithms; heuristic assembly knowledge; knowledge-based system; minimal infeasible sets; product decompositions; results reuse; Assembly systems; Automation; Computer science; Digital systems; Interactive systems; Interference; Knowledge based systems; Performance evaluation; Process planning; System testing;
Conference_Titel :
Assembly and Task Planning, 1997. ISATP 97., 1997 IEEE International Symposium on
Conference_Location :
Marina del Rey, CA
Print_ISBN :
0-7803-3820-0
DOI :
10.1109/ISATP.1997.615420