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Planning of job-shop factories leveraging genetic algorithms

: Neugebauer, Reimund; Friedemann, M.; Riegel, J.; Wenzel, K.

Preprint urn:nbn:de:0011-n-1050676 (201 KByte PDF)
MD5 Fingerprint: 55eb4bc2ed313f4376185e9ee1df1509
Erstellt am: 25.5.2011

University of Warwick:
Manufacturing Research 2009. Conference proceedings : 8-10 September 2009, Warwick
Warwick, 2009
International Conference on Manufacturing Research (ICMR) <7, 2009, Warwick>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IWU ()
Fabrikplanung; Prozessplanung; Optimierung; scheduling; Genetischer Algorithmus; Materialfluss; geometrisches Merkmal

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.