Title :
APE: an experience-based assembly sequence planner for mechanical assemblies
Author :
Swaminathan, A. ; Barber, K.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
This paper presents an approach to the assembly sequence planning problem based on a “plan reuse” philosophy, called the Assembly Planner using Experience (APE). Assembly planning research in the past has attempted to completely plan each problem from scratch. This research shows that stored cases of basic assembly configurations can be applied to a given assembly problem. It is observed that the number of such basic assembly configurations is quite small. Constraints affecting the assembly are also explicitly handled
Keywords :
assembling; case-based reasoning; computer aided production planning; graph theory; planning (artificial intelligence); production control; assembly configurations; case based reasoning; experience-based assembly sequence planner; goal identification; graph based model; mechanical assemblies; Assembly systems; Control systems; Intelligent systems; Job shop scheduling; Laboratories; Manufacturing; Process planning; Production equipment; Production planning; Production systems;
Conference_Titel :
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-1965-6
DOI :
10.1109/ROBOT.1995.525456