Which utilization and service level lead to the maximum EVA?

Klaus Altendorfer and Herbert Jodlbauer

International Journal of Production Economics, 2011, vol. 130, issue 1, 16-26

Abstract: In this paper a model for evaluating the influence of utilization, WIP, FGI, service level and production lead time on EVA (economic value added) is developed in order to link the available logistical key figures with a market perspective and discuss their influence on company value. The question answered in this paper is: What is the optimal utilization and service level of a production system in order to achieve the maximum possible EVA for a company? A single-product, single-machine, make-to-order production system with investment dependent machine capacity is modeled. The model combines a market share concept based on delivery/production lead time and service level with concepts describing the logistical relationships between WIP, utilization, production lead time and service level. In addition to the explanatory use of the model, it can provide support for strategic decisions concerning investing or divesting machinery. The main application of this model is in describing the link between capacity investment and company value comprehensively based on data available from cost accounting in real companies. Furthermore, this paper shows that high flexibility of personnel and machine capacity increases the maximum possible EVA of production systems even if this flexibility is linked to additional costs.

Keywords: Make-to-order; Economic; value; added; Utilization; Service; level; Production; lead; time (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925-5273(10)00401-9
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:130:y:2011:i:1:p:16-26

Access Statistics for this article

International Journal of Production Economics is currently edited by Stefan Minner

More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().