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View all- Zülch GBörkircher MRose OUhrmacher A(2012)Flexible work organization in manufacturingProceedings of the Winter Simulation Conference10.5555/2429759.2430115(1-12)Online publication date: 9-Dec-2012
Modelling and simulation of human decision-making in manufacturing systems
Author: 
Gert ZülchAuthors Info & Claims
Gert ZülchAuthors Info & ClaimsAbstract
The simulation of manufacturing processes mainly focuses on the structure of machinery resources and the flow of material, but the inclusion of the personnel in the simulation model is only slowly gaining in importance. When personnel resources are modelled, merely the operative tasks are represented. However, as a result of modern manufacturing concepts, worker decisions at a workshop level are becoming more and more important. This article deals with various concepts for the modelling of human decisions in manufacturing systems, namely from human decision makers as passive resources over the modelling of decisions based on global rules to the modelling of active decision makers with individual, locally valid decisionmaking rules. Each of these various types of modelling will be elucidated using an application example.
References
[1]
Fischer, J. W. 2004. Ein generisches Objektmodell zur Modellierung und Simulation operativer Entscheidungen in Produktionssystemen. Aachen: Shaker Verlag. (ifab-Forschungsberichte, vol. 34)
[2]
Gustafsson, A., A. Herrmann, and F. Huber (Edts.). 2003. Conjoint Measurement. Berlin et al.: Springer, 3rd ed.
[3]
Härdle, W. and L. Simar. 2003. Applied Multivariate Statistical Analysis. Berlin et al.: Springer.
[4]
Häußermann, S. 1980. Mehrmaschinenbedienung führt zur Arbeitsbereicherung. In VDI-Nachrichten, Düsseldorf, 7, 15.02.1980, p. 24.
[5]
Jonsson, U. 2000. Ein integriertes Objektmodell zur durchlaufplanorientierten Simulation von Produktions-systemen. Aachen: Shaker Verlag. (ifab-Forschungs-berichte, vol. 21)
[6]
Klauke, A. 1980. Entwicklung und Erprobung eines Simulationsmodells zur Planung der Arbeitsteilung an Arbeitssystemen mit numerisch-gesteuerten Werkzeugmaschinen. Diss., Univ. of Techn. Aachen.
[7]
Krüger, J. 1999. Entscheidungstheorie-basierte Simulation der Handlungsorganisation im Fertigungsbereich. Aachen: Shaker Verlag. (ifab-Forschungsberichte, vol. 20)
[8]
VDI 3633, part 6. 2001. Simulation von Logistik-, Materialfluss- und Produktionssystemen - Abbildung des Personals in Simulationsmodellen. Berlin: Beuth.
[9]
Zülch, G. 2000. Simulation der Aufbauorganisation in Produktionsunternehmen - Stand und Entwicklungs-potenziale. In Betriebs- und Arbeitsorganisation im Wandel der Zeit. Edts.: H. Luczak, W. Eversheim, and V. Stich. Köln: TÜV-Verlag, pp. 123--140.
[10]
Zülch, G., O. Bongwald, and J. Krüger. 1998. Personalorientierte Simulation als Bindeglied zwischen Zeitwirtschaft und Fertigungssteuerung. In: FB/IE Fortschrittliche Unternehmensentwicklung und Industrial Engineering, Darmstadt, 47, 2, pp. 79--84.
[11]
Zülch, G. and J. Fischer, 2004. Increasing the Flexibility of Working Times and Personnel Control in an Industrial Repair Work System. <www.sim-serv.com/white_papers.php> {accessed August 13, 2004}.
[12]
Zülch, G., J. Fischer, and U. Jonsson, 2000. An integrated object model for activity network based simulation. In: Proceedings of the 2000 Winter Simulation Conference. J. A. Joines, R. R. Barton, K. Kang, and P. A. Fishwick, eds. Piscataway, NJ: The Institute of Electrical and Electronics Engineers et al., vol. 1, pp. 371--380.
[13]
Zülch, G. and J. Krüger, 1999a. Personalintegrierte und personalorientierte Simulation. In: Personalorientierte Simulation - Praxis und Entwicklungspotential. Edts.: Heel, J., and Krüger, J. Aachen: Shaker, pp. 9--28. (ifab-Forschungsberichte, vol. 19)
[14]
Zülch, G. and J. Krüger, 1999b. Ermittlung der Handlungspräferenzen von Fertigungsmitarbeitern bei der Planung von Bearbeitungsreihenfolgen mittels Conjoint-Analyse. In: Zeitschrift für Arbeits- und Organisationspsychologie, Göttingen, 43(NF 17), 1, pp. 36--45.
[15]
Zülch, G., A. Rinn, and O. Strate. 2001. Dynamic analysis of changes in decisional structures of production systems. In: International Journal of Production Economics, Amsterdam, 69, 2, pp. 239--252.
[16]
Zülch, G. and P. Stock. 2005. Self-organizing manufacturing control based on the ant colony approach. In: Modeling and Implementing the Integrated Enterprise. IFIP WG 5.7 Proceedings of the International Conference on Advances in Production Management Systems. 18.-21.09.2005, Rockville MD, 20 p. (CD-ROM)
- Modelling and simulation of human decision-making in manufacturing systems
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Published In
December 2006
2429 pages
ISBN:1424405017
- Editors:
- L. Felipe Perrone,
- Barry G. Lawson,
- Jason Liu,
- Frederick P. Wieland,
- General Chair:
- David Nicol,
- Program Chair:
- Richard Fujimoto
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- IIE: Institute of Industrial Engineers
- ASA: American Statistical Association
- IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
- IEEE-CS\DATC: The IEEE Computer Society
- SIGSIM: ACM Special Interest Group on Simulation and Modeling
- NIST: National Institute of Standards and Technology
- (SCS): The Society for Modeling and Simulation International
- INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation
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Winter Simulation Conference
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Published: 03 December 2006
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WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%
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View all- Zülch GBörkircher MRose OUhrmacher A(2012)Flexible work organization in manufacturingProceedings of the Winter Simulation Conference10.5555/2429759.2430115(1-12)Online publication date: 9-Dec-2012
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