Intelligent Decision Support pp 213-228 | Cite as
Simulationsbasierte Leistungsbewertung von Planungsverfahren für komplexe Produktionssysteme
Chapter
Abstract
Complex manufacturing systems are characterized by a diverse and over time changing product mix, sequence-dependent set-up times, unrelated parallel machines, a mix of different process types, different types of internal and external disturbances, and re-entrant process flows due to very expensive machinery. In this paper, the architecture for the performance assessment of pure production control schemes is extended to the assessment of planning approaches. Starting from the additional requirements for planning problems, the necessary extensions of the production control performance assessment architecture and for the performance assessment methodology are described. The computational results of a case study that uses the suggested performance assessment architecture are presented.
Keywords
Complex Production Systems Planning Performance Assessment Discrete-Event SimulationPreview
Unable to display preview. Download preview PDF.
Literaturverzeichnis
- 1.Barahona, F.; Bermon, S.; Günlük, O.; Hood, S.: Robust Capacity Planning in Semiconductor Maufacturing. In: Naval Research Logistics 52 (2005), 459–468.CrossRefGoogle Scholar
- 2.Bermon, S.; Hood, S. J.: Capacity Optimization Planning System (CAPS). In: Interfaces 29 (1999), 31–50.CrossRefGoogle Scholar
- 3.Blackstone, J. H.; Phillips, D. T.; Hogg, G. L.: A State-of-the-Art Survey of Dispatching Rules for Manufacturing Job Shop Operations. In: International Journal of Production Research 20 (1982), 27–45.CrossRefGoogle Scholar
- 4.Chong, C. S.; Lendermann, P.; Gan, B. P.; Duarte, B.; Fowler, J. W.; Callarman, T. E.: Development and Analysis of a Customer-demand Driven Semiconductor Supply Chain Model Using the High Level Architecture. In: International Journal of Simulation and Process Modelling 2 (2006), 210–221.CrossRefGoogle Scholar
- 5.Drexl, A.; Fleischmann, B.; Günther, H.-O.; Stadler, H.; Tempelmeier, H.: Konzeptionelle Grundlagen kapazitärsorientierter PPS-Systeme. In: Zeitschrift für betriebswirtschaftliche Forschung 46 (1994), 1022–1045.Google Scholar
- 6.Ferstl, O. K.; Sinz, E. J.: Grundlagen der Wirtschaftsinformatik, Band 1, 5. Auflage, Oldenbourg Verlag, München, Wien, 2006.Google Scholar
- 7.Fowler, J. W.; Mönch, L.; Rose, O.: Simulation and Scheduling. In: Hermann, J. (Hrsg.): Handbook of Production Scheduling., Springer, (2006), 109–133.Google Scholar
- 8.Gehring, H.; Meyer, R.; Hesse, R.: Fertigungslinien im Automobilbau PC-gestützt optimieren, Teil 2: Simulation. In: Zeitschrift für wirtschaftliche Fertigung und Automatisierung 88 (1993), 311–313.Google Scholar
- 9.Herrmann, F.: SIM-R/3: Softwaresystem zur Simulation der Regelung produktionslogistischer Prozesse durch das R/3-System der SAP AG. In: Wirtschaftsinformatik 49 (2007), 127–133.CrossRefGoogle Scholar
- 10.Huang, D.; Sarjoughian, H.; Wang, W.; Godding, G.; Rivera, D.; Kempf, K.; Mittelmann, H.: Simulation of Supply Chain Systems with DEVS, MPS, and KIP. Eingereicht zur Veröffentlichung bei IEEE Transactions on Semiconductor Manufacturing (2007).Google Scholar
- 11.Horiguchi, K.; Raghavani, N.; Uzsoy, R., Venkatheswaran, S.: Finite-Capacity Production Planning Algorithms for a Semiconductor Wafer Fabrication Facility. In: International Journal of Production Research 39 (2001), 825–842.CrossRefGoogle Scholar
- 12.Kleijnen, J. P.C.: Supply Chain Simulation Tools and Techniques: a Survey. In: International Journal of Simulation and Process Modelling 1 (2005), 82–89.Google Scholar
- 13.MASM Test Data Sets. http://www.eas.asu.edu/~masmlab (2008).Google Scholar
- 14.Mönch, L.: Scheduling-Framework für Jobs auf parallelen Maschinen in komplexen Produktionssystemen. In: WIRTSCHAFTSINFORMATIK 46 (2004), 470–480.Google Scholar
- 15.Mönch, L.: Agentenbasierte Produktionssteuerung. Gabler, Wiesbaden, 2006.Google Scholar
- 16.Mönch, L.: Simulation-based Benchmarking of Production Control Schemes for Complex Manufacturing Systems. In: Control Engineering Practice 15 (2007), 1381–1393.CrossRefGoogle Scholar
- 17.Mönch, L.; Rose, O.; Sturm, R.: Simulation Framework for Performance Assessment of Shop Floor Control Systems. In: SIMULATION — Transactions of the Society for Modelling and Simulation International 79 (2003), 60–67.Google Scholar
- 18.Mönch, L.; Zimmermann, J.: Simulation-based Assessment of Machine Criticality Measures for a Shifting Bottleneck Heuristic in Complex Manufacturing Systems. In: Computers in Industry 58 (2007), 644–655.CrossRefGoogle Scholar
- 19.Vieira, G. E.: Understanding Master Production Scheduling from a Practical Perspective: Fundamentals, Heuristics, and Implementations. In: Hermann, J. (Hrsg.): Handbook of Production Scheduling Springer, (2006), 149–176.Google Scholar
- 20.Venkateswaran, J.; Son, Y.-J.; Jones, A.: Hierarchical Production Planning Using a Hybrid System Dynamic-Discrete Event Simulation Architecture. Proceedings of the 2004 Winter Simulation Conference, 1094–1102.Google Scholar
- 21.Wagels, C.: Konzeption und prototypische Realisierung eines Simulationsrahmenwerks für die Leistungsbewertung von Planungsansärzen für komplexe Produktionssysteme. Diplomarbeit FernUniversitär Hagen (2007).Google Scholar
- 22.Xie, J.; Lee, T. S.; Zhao, X.: Impact of Forecasting Errors on the Performance of Capacited Multi-Item Production Systems. In: Computers & Industrial Engineering 46 (2004), 205–219.CrossRefGoogle Scholar
- 23.Zobolas, G. I.; Tarantilis, C. D.; Ioannou, G.: Extending Capacity Planning by Positive Leadtime and Optional Overtime, Earliness and Tardiness for Effective Master Production Scheduling. In: International Journal of Production Research, erscheint (2008).Google Scholar
Copyright information
© Betriebswirtschaftlicher Verlag Dr. Th. Gabler | GWV Fachverlage GmbH, Wiesbaden 2008