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TOPS: AN INTELLIGENT ASSOCIATE FOR TURNING OPERATION PLANNING

 

作者: STEPHENC.-Y. LU,   ALLENE. HERMAN,   KARLF. ARNOLD,  

 

期刊: Applied Artificial Intelligence  (Taylor Available online 1992)
卷期: Volume 6, issue 3  

页码: 331-352

 

ISSN:0883-9514

 

年代: 1992

 

DOI:10.1080/08839519208949959

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

This article describes the development of a new modeling environment that supports the building of intelligent associates for turning operation planning. By intelligent associates, we mean a computer-based system that allows a process planner to assert a greater degree of control during a consultation than do traditional expert systems. Intelligent associates are able to assist process planners in a colleague-like manner while solving domain tasks. They relieve routine operations while supporting creative problem-solving. Multiple levels of human experience are supported, advising and constraining inexperienced planners while providing a flexible environment for experienced planners working on new planning strategies. Several Al-based techniques have been employed in the development of this new modeling environment. The utility of this environment is demonstrated by developing a turning operation planning intelligent associate (TOPS). TOPS assists a process planner by computing interactions and checking for consistency among the various attributes of a lathe machine-operation planning problem and searching databases for machines, tool holders, and inserts.

 

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