Cost Sensitive Analysis of Production Logistics Measures A Decision Making Support System for Evaluating Measures in the Production

Authors: Michael Grigutsch, Peter Nyhuis

Abstract:

Due to the volatile global economy, enterprises are increasingly focusing on logistics. By investing in suitable measures a company can increase their logistic performance and assert themselves over the competition. However, enterprises are also faced with the challenge of investing available capital for maximum profits. In order to be able to create an informed and quantifiably comprehensible basis for a decision, enterprises need a suitable model for logistically and monetarily evaluating measures in production. Previously, within the frame of Collaborate Research Centre 489 (SFB 489) at the Institute for Production Systems and Logistics, (IFA) a Logistic Information System was developed specifically for providing enterprises in the forging industry with support when making decisions. Based on this research, a new initiative referred to as ‘Transfer Project T7’, aims to develop a universal approach for logistically and monetarily evaluating production measures. This paper focuses on the structural measure echelon storage and their impact on the entire production system.

Keywords: Logistic Operating Curves, Transfer Functions, Production Logistics, Storages Echelon.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1091120

References:

[1] Nyhuis, P.; Wiendahl, H.-P.; Rossi, R.: Fundamentals of Production Logistics. Theory, Tools and Applications; With 6 Tables. Berlin 2009.
[2] Nyhuis, P.; Busse, T. D.; Wriggers, F. S.: Bewertung strategischer Maßnahmen zur Gestaltung der Lieferkette: Wettbewerbsfähigkeit durch Arbeits- und Betriebsorganisation. Berlin 2008.
[3] Kerner, A.: Modellbasierte Beurteilung der Logistikleistung von Prozessketten. Fortschritt-Berichte VDI,. Reihe 2, Nr. 576, Düsseldorf 2001, Univ., Diss.--Hannover, 2002.
[4] Fischer, T. M.; Rödl, K.: Strategische und wertorientierte Managementkonzepte in der Unternehmenspublizität. Analyse der DAX 30-Geschäftsberichte in einer unternehmenskulturellen Perspektive. In: KoR 3 (2003) 10, S. 424–32.
[5] Lambert, D. M.; R. Burduroglu: Measuring and Selling the Value of Logistics. In: The International Journal of Logistics Management 2000 (2000) 11, S. 1–17.
[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. Oktober, (2009): IE&EM 2009 Proceedings.
[7] Grigutsch, M., Kennemann, M., Nyhuis, P.: Maßnahmen in der Produktion optimal bewerten, Zeitschrift für wirtschaftlichen Fabrikbetrieb (07-08/2012), S. 558-562.
[8] Fernández, P.: Valuation Methods and Shareholder Value Creation. Amsterdam 2002.
[9] Vollmer, L.: Agentenbasiertes Auftragsmanagement mit Hilfe von Preis-Liefertermin-Relationen, Zugl.: Hannover, Univ., Diss., 2000. Düsseldorf 2000.
[10] Nyhuis, P.; Wiendahl, H.-P.: O3 - Logistic Production Operating Curves - Basic Model of the Theory of Logistic Operating Curves. In: International Institution for Production Engineering Research (2006).
[11] Ballou, R. H.: Business Logistics/Supply Chain Management. Planning, Organizing, and Controlling the Supply Chain, 5. Auflage. Upper Saddle River, NJ 2004.
[12] Windt, K.; Wittekindt, W.: Sichert die Optimierung der Logistikleistung den Unternehmenserfolg? In: Zeitschrift für wirtschaftlichen Fabrikbetrieb 98 (2002) 98, S. 108–11.
[13] Nyhuis, P.; Windt, K.; Bertsch, S.; Beck, S.; Eilmann, J.; Herr O.; Kolev, O.; Jeken, O.: Logistich Decoupling as a Measure for Increasing Delivery Performance of a Multi-variant Series Production. International Conference on Production Research 21 (2011), 95
[14] Schmidt, M.: Modellierung logistischer Prozesse der Montage, Univ., Diss.--Hannover, Garbsen 2011.