Title :
Knowledge base maintenance using cultural algorithms: application to the DLMS manufacturing process planning system at Ford Motor Company
Author :
Rychtyckyj, Nestor ; Reynolds, Robert G.
Author_Institution :
Ford Motor Co., Dearborn, MI, USA
Abstract :
Ford´s Direct Labor Management System (DLMS) is a fully-deployed application that is being utilized at Ford´s assembly plants throughout the world. DLMS has been in production since 1990, and maintainability of the knowledge base has become very difficult over time, due to changes in the following areas: the business environment, the processes and physical concepts being modeled, and the underlying hardware and software architecture. We have previously (2000, 2001) described how cultural algorithms can be used in a top-down and bottom-up fashion to re-engineer a dynamic semantic network-based knowledge base. In this paper, we compare the two approaches and discuss how they can be used in tandem to re-engineer a semantic network
Keywords :
automobile industry; computer aided production planning; human resource management; knowledge based systems; semantic networks; social sciences computing; systems re-engineering; truth maintenance; DLMS manufacturing process planning system; Direct Labor Management System; Ford Motor Company; assembly plants; bottom-up application; business environment; cultural algorithms; dynamic knowledge base reengineering; hardware architecture; knowledge base maintenance; physical concept modelling; process modelling; semantic network reengineering; software architecture; top-down application; Application software; Assembly systems; Business process re-engineering; Cultural differences; Knowledge based systems; Manufacturing processes; Process planning; Production; Solid modeling; Vehicles;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1007037
