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2009
Conference Paper
Titel
Planning of job-shop factories leveraging genetic algorithms
Abstract
Versatile job-shop factories enable efficient manufacturing of parts composed of common geometric features where small quantities with great variety are required. This paper presents an approach for planning jobshop factories based on product features. Genetic algorithms are applied for automatic resource selection and dimensioning as well as for the determination of the material flow network and resource schedule. To visualize the results a draft factory layout is created by employing a placement heuristic. It can serve as a base for further manual refinement to incorporate complex environmental constraints.