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Intelligent Scheduling with GUESS (Generically Used Expert Scheduling System): Development and Testing Results
Author(s) -
Liebowitz Jay,
Krishnamurthy Vijaya,
Rodens Ira,
Houston Chapman,
Baek Seung,
Liebowitz A.,
Zeide J.,
Potter William J.
Publication year - 1997
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/1468-0394.00048
Subject(s) - computer science , scheduling (production processes) , solver , fair share scheduling , job shop scheduling , operations research , mathematical optimization , distributed computing , programming language , mathematics , schedule , operating system
Scheduling is a prevalent function that is omnipresent throughout many industries and applications (Pinedo, 1995; Morton & Pentico, 1993; Zweben & Fox, 1994; Brown & Scherer, 1995). A great need exists for developing scheduling toolkits that can be generically applied to a number of different scheduling problems. To meet this need, more research is warranted for developing a state‐of‐the‐art generic constraint problem‐solver as related to scheduling. This paper discusses the development and testing of the Generically Used Expert Scheduling System (GUESS).