Evaluating the Logistic Performance Capability of Regeneration Processes

Authors: Thorben Kuprat, Julian Becker, Jonas Mayer, Peter Nyhuis

Abstract:

For years now, it has been recognized that logistic performance capability contributes enormously to a production enterprise’s competitiveness and as such is a critical control lever. In doing so, the orientation on customer wishes (e.g. delivery dates) represents a key parameter not only in the value-adding production but also in product regeneration. Since production and regeneration processes have different characteristics, production planning and control measures cannot be directly transferred to regeneration processes. As part of a special research project, the Institute of Production Systems and Logistics Hannover is focused on increasing the logistic performance capability of regeneration processes for complex capital goods. The aim is to ensure logistic targets are met by implementing a model specifically designed to align the capacities and load in regeneration processes.

Keywords: Capacity planning, complex capital goods, logistic performance, regeneration process.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1092595

References:

[1] P. Nyhuis, H.-P. Wiendahl, LogistischeKennlinien, Grundlagen, Werkzeuge und Anwendungen, Springer Vieweg Berlin Heidelberg, 3. Auflage, 2012.
[2] S. C. Eickemeyer, P. Nyhuis, "Capacity planning and coordination withfuzzyload information,” The Business Review Cambridge, vol. 16, no. 1, pp. 259-264, 2010.
[3] H. Lödding, Verfahren der Fertigungssteuerung. Grundlagen, Beschreibung, Konfiguration, Springer-Verlag Berlin Heidelberg, 2. Auflage, 2008.
[4] S. Beck, Modellgestütztes Logistikcontrollingkonvergierender Materialflüsse. Garbsen. PZH, Produktionstechnisches Zentrum Hannover, 2013.
[5] M. Schmidt, ModellierunglogistischerProzesse der Montage.Garbsen, PZH,Produktionstechnisches Zentrum Hannover 2011.
[6] H. Lödding, P. Nyhuis, M. Schmidt, A. Kuyumcu, "Modelling lateness and schedule reliability: how companies can produce on time,” Production Planning& Control: The Management of Operations, 25:1, pp. 59-72, 2014.
[7] S. C. Eickemeyer, S. Doroudian, S. Schäfer and P. Nyhuis, „Eingenerisches Prozessmodellfür die Regeneration komplexer Investitionsgüter," ZWF, vol. 106, no. 11, pp. 861-865, 2011.
[8] C. Reményi, S. Stauchdacher, "MRO: Organisation der Produktion sowie von Produktionsplanung und –steuerung,"wtWerkstatttechnik online, 101, H.4, pp. 242-248, 2011.
[9] S. C. Eickemeyer, C. Krügerand P. Nyhuis, "Kapazitätsplanung und –abstimmungbeiunscharfen Belastungsinformationen,"ZWF, vol. 105, no. 4, pp. 323-327, 2010.
[10] C. Reményi, S. Staudacher, N. Holzheimer and S. Schulz, "Simulation of the Maintenance Process in an Aircraft Engine Maintenance Company,” in Proceedings of the 44th CIRP Conference on Manufacturing Systems, Duffie, N.A., DeVries, M.F., Eds. June 1-3, Madison, Wisconsin/USA, 2011.
[11] P. Nyhuis, R. Nickel and T. Busse, „Logistisches Controlling der Materialverfügbarkeit in der Montage mitBereitstellungsdiagrammen," ZWF, vol. 101, no. 5, pp. 265-268, 2006.
[12] P. Nyhuis, M. Schmidt and F. S. Wriggers, "Reduction of capital tie up for assembly processes,” CIRP Annals – Manufacturing Technology, vol. 57, no. 1, pp. 481-484, 2008.
[13] H. Fastenabend, Kennliniengestützte Synchronisation von Fertigungs- und Montageprozessen. Düsseldorf.VDI-Verlag, 1997.
[14] S. C. Eickemeyer, T. Borcherding and P. Nyhuis, "Validation of data fusion as a method for forecasting the regeneration workload for complex capital goods,” Prod. Eng. Res. Devel., vol.7, pp. 131–139, 2013.
[15] M. Schmidt, P. Fronia and P. Nyhuis, "Decentralized control of assembly processes driven by Gentelligent Parts,” International Journal of Management Science and Engineering Management, vol. 5, no. 1, pp. 59-64, 2010.