AI-BASED SCHEDULERS IN MANUFACTURING PRACTICE - REPORT OF A PANEL DISCUSSION

被引:0
|
作者
KEMPF, K
RUSSELL, B
SIDHU, S
BARRETT, S
机构
[1] STANFORD UNIV,CTR INTEGRATED SYST,STANFORD,CA 94305
[2] CARNEGIE GRP INC,DIV GOVT TRANSPORTAT STEEL & AEROSP,PITTSBURGH,PA
[3] TEXAS INSTRUMENTS INC,ARTIFICIAL INTELLIGENCE LAB,DALLAS,TX 75265
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There is a great disparity between the number of papers which have been published about AI-based manufacturing scheduling tools and the number of systems which are in daily use by manufacturing engineers. It is argued that this is not a reflection of inadequate AI technology, but is rather indicative of lack of a systems perspective by AI practitioners and their manufacturing customers. Case studies to support this perspective are presented by Carnegie Group as a builder of scheduling systems for its customers, by Texas Instruments and Intel Corporation as builders of schedulers for their own use, and by Intellection as a consulting house specializing in scheduling problems.
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页码:46 / 55
页数:10
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