Optimal Measures in Production Developing an Universal Decision Supporter for Evaluating Measures in a Production
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32804
Optimal Measures in Production Developing an Universal Decision Supporter for Evaluating Measures in a Production

Authors: Michael Grigutsch, Marco Kennemann, Peter Nyhuis

Abstract:

Due to the recovering global economy, enterprises are increasingly focusing on logistics. Investing in logistic measures for a production generates a large potential for achieving a good starting point within a competitive field. Unlike during the global economic crisis, enterprises are now challenged with investing available capital to maximize profits. In order to be able to create an informed and quantifiably comprehensible basis for a decision, enterprises need an adequate model for logistically and monetarily evaluating measures in production. The Collaborate Research Centre 489 (SFB 489) at the Institute for Production Systems (IFA) developed a Logistic Information System which provides support in making decisions and is designed specifically for the forging industry. The aim of a project that has been applied for is to now transfer this process in order to develop a universal approach to logistically and monetarily evaluate measures in production.

Keywords: Measures in Production, Logistic Operating Curves, Transfer Functions, Production Logistics

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1330645

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1440

References:


[1] Nyhuis, P.; Wiendahl, H.-P.: Fundamentals of production logistics. Theory, tools and applications. Berlin (2008).
[2] Nyhuis, P.; Busse, T. D.; Wriggers, F. S.: Bewertung strategischer Maßnahmen zur Gestaltung der Lieferkette. In: N. Gronau (Ed.): Wettbewerbsf├ñhigkeit durch arbeits- und Betriebsorganisation. Gito, Berlin (2008).
[3] Nyhuis, P.: Logistic Production Operating Curves - Basic Model of the Theory of Logistic Operating Curves. Annals of the CIRP (2006)
[4] Fischer, T. M.; Rödl, K.: Strategische und wertorientierte Managementkonzepte in der Unternehmenspublizit├ñt. Analyse der DAX 30-Gesch├ñftsberichte in einer unternehmenskulturellen Perspektive. Zeitschrift f├╝r internationale und kapitlamarktorienierte Rechnungslegung, 3, pp. 424-432 (2002)
[5] Vollmer, L.: Agentenbasiertes Auftragsmanagement mit Hilfe von Preis- Liefertermin-Relationen. VDI-Fortschritt-Berichte, Reihe 16, No. 119, VDI-Verlag, D├╝sseldorf 2000
[6] Kennemann, M.; Wriggers, F.; Nyhuis, P.: Economic Production. Identifying Optimal Economical and Logistical Measures, IEEE 16th International Conference on Industrial Engineering and Engineering Management, Beijing, 21.-23. October, (2009): pp. 434-437 IE&EM 2009 Proceedings.
[7] Fernández, P.: Valuation methods and shareholder value creation. Amsterdam (2002).
[8] Ballou, R. H.: Business logistics/supply chain management. Planning, organizing, and controlling the supply chain, 5th edition. Upper Saddle River, NJ (2004).
[9] Windt, K.; Wittekindt, W.: Sichert die Optimierung der Logistikleistung den Unternehmenserfolg? In: Zeitschrift f├╝r wirtschaftlichen Fabrikbetrieb 98 (2002), pp. 108-111.
[10] Lambert, D. M., Burduroglu, R.: Measuring and Selling the Value of Logistics. In: The International Journal of Logistics Management (2000) 11, 1, pp. 1-17..