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Integrating intelligent job-scheduling into a real-world production-scheduling system

✍ Scribed by Karl Kurbel; Andreas Ruppel

Book ID: 104631052
Publisher: Springer US
Year: 1996
Tongue: English
Weight: 926 KB
Volume: 7
Category: Article
ISSN: 0956-5515
DOI: 10.1007/bf00123913

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✦ Synopsis

The paper addresses the problem of scheduling production orders (jobs). First, an approach based on simulated annealing and Hopfield nets is described. Since performance was unsatisfactory for real-world applications, we changed the problem representation and tuned the scheduling method, dropping features of the Hopfield net and retaining simulated annealing. Both computing time and solution quality were significantly improved. The scheduling method was then integrated into a software system for short-term production planning and control ('electronic leitstand'). The paper describes how real-world requirements are met, and how the scheduling method interacts with the leitstand's database and graphical representation of schedules.

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