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.
点击下载:
PDF (676KB)
返 回