
AI‐Based Schedulers in Manufacturing Practice: Report of a Panel Discussion
Author(s) -
Kempf Karl,
Russell Bruce,
Sidhu Sanjiv,
Barrett Stu
Publication year - 1991
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v11i4.869
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.