How Elasticity Indicators Support Cost Management
S. Hinrichsen, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management, Lemgo, 2016, pp. 123–131.
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Konferenz - Beitrag
| Veröffentlicht
| Englisch
Autor*in
Herausgeber*in
Villmer, Franz-Josef;
Padoano, Elio
Körperschaftlicher Herausgeber
Department of Production Engineering and Management;
Hochschule Ostwestfalen-Lippe
Abstract
Against the background of rising overhead costs in manufacturing companies the application of methods of overhead cost management is of increasing importance. Within this article existing approaches of cost management are explained in principle. Based on these approaches a new complementary approach of managing costs with the help of costs elasticity ratios is described by a case study. The method is based on the hypothesis that there are no fixed personnel costs, but personnel costs with different elasticity with respect to the volume of orders. Personnel costs elasticity (ε) is derived from the quotient of the relative change in personnel costs (k) and the relative change of the order volume (q) of a billing month (i). The method aims to increase the flexibility of overhead costs, but can also be applied with respect to so-called direct costs. In this case, the question arises as to what extent the direct costs actually develop proportional elastic over time.
Stichworte
Erscheinungsjahr
Titel des Konferenzbandes
Production Engineering and Management
Zeitschriftennummer
1
Seite
123-131
Konferenz
Proceedings 6th International Conference
Konferenzort
Lemgo
Konferenzdatum
2016-09-29 – 2016-09-30
ISBN
ELSA-ID
Zitieren
Hinrichsen S. How Elasticity Indicators Support Cost Management. In: Villmer FJ, Padoano E, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, eds. Production Engineering and Management. ; 2016:123-131.
Hinrichsen, S. (2016). How Elasticity Indicators Support Cost Management. In F.-J. Villmer, E. Padoano, Department of Production Engineering and Management, & Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management (Issue 1, pp. 123–131).
Hinrichsen S (2016) How Elasticity Indicators Support Cost Management. In Villmer F-J et al. (eds), Production Engineering and Management. Lemgo, pp. 123–131.
Hinrichsen, Sven. “How Elasticity Indicators Support Cost Management.” In Production Engineering and Management, edited by Franz-Josef Villmer, Elio Padoano, Department of Production Engineering and Management, and Hochschule Ostwestfalen-Lippe, 123–31. Lemgo, 2016.
Hinrichsen, Sven. 2016. How Elasticity Indicators Support Cost Management. In: Production Engineering and Management, hg. von Franz-Josef Villmer, Elio Padoano, Department of Production Engineering and Management, und Hochschule Ostwestfalen-Lippe, 123–131. Lemgo.
Hinrichsen, Sven: How Elasticity Indicators Support Cost Management. In: Villmer, F.-J. ; Padoano, E. ; Department of Production Engineering and Management ; Hochschule Ostwestfalen-Lippe (Hrsg.): Production Engineering and Management. Lemgo, 2016, S. 123–131
S. Hinrichsen, How Elasticity Indicators Support Cost Management, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management, Lemgo, 2016: pp. 123–131.
S. Hinrichsen, “How Elasticity Indicators Support Cost Management,” in Production Engineering and Management, Lemgo, 2016, no. 1, pp. 123–131.
Hinrichsen, Sven. “How Elasticity Indicators Support Cost Management.” Production Engineering and Management, edited by Franz-Josef Villmer et al., no. 1, 2016, pp. 123–31.
Hinrichsen, Sven: How Elasticity Indicators Support Cost Management, in: Villmer, Franz-Josef u. a. (Hgg.): Production Engineering and Management, Lemgo 2016, S. 123–131.
Hinrichsen S. How Elasticity Indicators Support Cost Management. In: Villmer FJ, Padoano E, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, editors. Production Engineering and Management. Lemgo; 2016. p. 123–31.
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