A Distributed Knowledge Base for Manufacturing Scheduling
| Autor: | Joaquim Nunes Aparício, Maria Leonilde Rocha Varela, Sílvio Carmo Silva |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
060201 languages & linguistics
Rate-monotonic scheduling Computer science business.industry Distributed computing Scheduling (production processes) 06 humanities and the arts 02 engineering and technology Flow shop scheduling Dynamic priority scheduling Fair-share scheduling Deadline-monotonic scheduling Scheduling (computing) Knowledge base Genetic algorithm scheduling Nurse scheduling problem Two-level scheduling 0602 languages and literature 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business |
| Zdroj: | Emerging Solutions for Future Manufacturing Systems ISBN: 0387228284 BASYS |
| DOI: | 10.1007/0-387-22829-2_34 |
| Popis: | This paper describes a distributed knowledge base for manufacturing scheduling. A great variety of scheduling problems can occur in manufacturing. For solving different problems, usually different methods are required. The distributed knowledge base enables sharing information about scheduling problems and corresponding solving methods in a widened search space. These methods can be remotely available and accessible through the Internet. Running several methods enables obtaining alternative results for a given problem, consequently, contributing for a better scheduling decisionmaking. An important aspect is that end users and scheduling methods’ providers alike can easily and continuously update this knowledge base. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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