Which utilization and service level lead to the maximum EVA?
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.
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- Teck H. Ho & Yu-Sheng Zheng, 2004. "Setting Customer Expectation in Service Delivery: An Integrated Marketing-Operations Perspective," Management Science, INFORMS, vol. 50(4), pages 479-488, April.
- Miles, James A. & Ezzell, John R., 1980. "The Weighted Average Cost of Capital, Perfect Capital Markets, and Project Life: A Clarification," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(03), pages 719-730, September.
- Ebru K. Bish & Ana Muriel & Stephan Biller, 2005. "Managing Flexible Capacity in a Make-to-Order Environment," Management Science, INFORMS, vol. 51(2), pages 167-180, February.
- Van Nieuwenhuyse, Inneke & Vandaele, Nico & Rajaram, Kumar & Karmarkar, Uday S., 2007. "Buffer sizing in multi-product multi-reactor batch processes: Impact of allocation and campaign sizing policies," European Journal of Operational Research, Elsevier, vol. 179(2), pages 424-443, June.
- Lutz, Stefan & Loedding, Hermann & Wiendahl, Hans-Peter, 2003. "Logistics-oriented inventory analysis," International Journal of Production Economics, Elsevier, vol. 85(2), pages 217-231, August.
- C. H. Jones, 1973. "An Economic Evaluation of Job Shop Dispatching Rules," Management Science, INFORMS, vol. 20(3), pages 293-307, November.
- Dimitris Paraskevopoulos & Elias Karakitsos & Berc Rustem, 1991. "Robust Capacity Planning Under Uncertainty," Management Science, INFORMS, vol. 37(7), pages 787-800, July.
- Lode Li & Yew Sing Lee, 1994. "Pricing and Delivery-Time Performance in a Competitive Environment," Management Science, INFORMS, vol. 40(5), pages 633-646, May.
- COELLI, Tim & GRIFELL-TATJE, Emili & PERELMAN, Sergio, 2001.
"Capacity utilisation and profitability: a decomposition of short run profit efficiency,"
CORE Discussion Papers
2001052, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Coelli, Tim & Grifell-Tatje, Emili & Perelman, Sergio, 2002. "Capacity utilisation and profitability: A decomposition of short-run profit efficiency," International Journal of Production Economics, Elsevier, vol. 79(3), pages 261-278, October.
- Coelli, Tim & Grifell-Tatje, Emili & Perelman, Sergio, 2002. "Capacity Utilization and Profitability: A Decomposition of Short Run Profit Efficiency," Efficiency Series Papers 2002/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
- Jodlbauer, H., 2008. "Customer driven production planning," International Journal of Production Economics, Elsevier, vol. 111(2), pages 793-801, February.
- Zapfel, Gunther, 1998. "Customer-order-driven production: An economical concept for responding to demand uncertainty?," International Journal of Production Economics, Elsevier, vol. 56(1), pages 699-709, September.
- Jodlbauer, Herbert & Altendorfer, Klaus, 2010. "Trade-off between capacity invested and inventory needed," European Journal of Operational Research, Elsevier, vol. 203(1), pages 118-133, May.
- Schnetzler, Matthias J. & Sennheiser, Andreas & Schonsleben, Paul, 2007. "A decomposition-based approach for the development of a supply chain strategy," International Journal of Production Economics, Elsevier, vol. 105(1), pages 21-42, January.
- Souza, Gilvan C. & Wagner, Harvey M. & Whybark, D. Clay, 2001. "Evaluating focused factory benefits with queuing theory," European Journal of Operational Research, Elsevier, vol. 128(3), pages 597-610, February.
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