The W-6 approach to multi-dimensional scheduling: where AI and operations research meet

Bassat, M.B.; Kfir, Y.; Melamed, Z.; Schapiro, D.; Shpiro, A.

doi:10.1109/icsmc.1990.142110

Cited by 2 publications

References 7 publications

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RAPS: a rule-based language for specifying resource allocation and time-tabling problems

Solotorevsky

Gudes

Meisels

1994

IEEE Trans. Knowl. Data Eng.

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A general language for specifying resource allocation and time-tabling problems is presented. The language is based on an expert system paradigm that was developed previously by the authors and that enables the solution of resource allocation problems by using experts' knowledge and heuristics. The language enables the specification of a problem in terms of resources, activities, allocation rules, and constraints, and thus provides a convenient knowledge acquisition tool. The language syntax is powerful and allows the specification of rules and constraints that are very difficult to formulate with traditional approaches, and it also supports the specification of various control and backtracking strategies. We constructed a generalized inference engine that runs compiled resource allocation problem specification language (RAPS) programs and provides all necessary control structures. This engine acts as an expert system shell and is called expert system for resource allocation (ESRA). The performance of RAPS combined with ESRA is demonstrated by analyzing its solution of a typical resource allocation problem.

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RAPS: a rule-based language for specifying resource allocation and time-tabling problems

Solotorevsky

Gudes

Meisels

1994

IEEE Trans. Knowl. Data Eng.

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Workflow management combined with diagnostic and repair expert system tools for maintenance operations

Ben-Bassat

Beniaminy²,

Eshel³

et al.

Autotestcon 93

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Effective management of maintenance operations may be viewed at two levels. At the "macro" level, we are concemed with cost-effective allocation and utilization of our resources in order to respond adequately to the demand coming in. At the "micro" level, the question is how to ensure that each one of our resources operates consistently at the top performance level. This paper presents an integrated approach for both the "macro" and the "micro" level. The implementation of this approach is supported by three expert system software products: W-6 for effective allocation and scheduling of maintenance resources. As its name suggests, W-6 assists in deciding: WHO (technician) does WHAT (task), ON What (equipment unit), WITH What (auxiliary tools), WHERE (workstation or customer location) and WHEN. AITEST for diagnostic support and efficient test sequencing, for data management at the equipment unit level, and for integration with test instrumentation.OnDoc -an on-line documentation tool providing easy and immediate access to just about any bit of maintenance information. The "total" integration aspect is shown via the interface of W-6 to the MRP system and to the floor Data Base system. AITEST is interfaced to the ATE (Automatic Test Equipment) systems and sends repair reports to the floor Data Base. A case study of an operational system based on this approach is presented. The environment is a major depot facility for repairing and restoring numerous types of military communication equipment.

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The W-6 approach to multi-dimensional scheduling: where AI and operations research meet

Abstract: Scheduling and allocation of resources can be frequently formulated as the problem of WHO does WHAT, to WHOM, with WHAT, WHERE and WHEN.

Cited by 2 publications

References 7 publications

RAPS: a rule-based language for specifying resource allocation and time-tabling problems

RAPS: a rule-based language for specifying resource allocation and time-tabling problems

Workflow management combined with diagnostic and repair expert system tools for maintenance operations

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