Title :
Assembly planning based on subassembly extraction
Author :
Lee, Sukhan ; Shin, Yeong Gil
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
A method is presented for the automatic determination of assembly partial orders from a liaison graph representation of an assembly through the extraction of preferred subassemblies. In particular, the authors show how to select a set of tentative subassemblies by decomposing a liaison graph into a set of subgraphs based on feasibility and difficulty of disassembly, how to evaluate each of the tentative subassemblies in terms of assembly cost using the subassembly selection indices, and how to construct a hierarchical partial order graph as an assembly plan. The method provides an approach to assembly planning by identifying spatial parallelism in assembly as a means of constructing temporal relationships among assembly operations and solves the problem of finding a cost-effective assembly plan in flexible environment. A case study of the assembly planning of a mechanical assembly is presented
Keywords :
assembling; graph theory; planning (artificial intelligence); assembly partial orders; cost-effective assembly plan; graph decomposition; hierarchical partial order graph; liaison graph representation; preferred subassemblies; subassembly extraction; subassembly selection indices; Assembly systems; Computer science; Costs; Gas insulated transmission lines; Interference; Laboratories; Manuals; Parallel processing; Propulsion; Workstations;
Conference_Titel :
Robotics and Automation, 1990. Proceedings., 1990 IEEE International Conference on
Conference_Location :
Cincinnati, OH
Print_ISBN :
0-8186-9061-5
DOI :
10.1109/ROBOT.1990.126239