The environment in which production enterprises operate is one of ever-growing complexity and dynamism — especially in the face of the current recession. The resulting increased pressure to reduce prices and costs forces enterprises to intensively examine the economic efficiency of investment decisions in their productions. Within the context of a research project at the Institute of Production Systems and Logistics at the Leibniz Universität Hannover, a demonstrator has been developed which, based on the example of rigidly linked lines in the forging industry, allows measures in the production to be evaluated regarding their impact on logistic and monetary objectives. By applying the stored decision logic the delivery reliability for example and the residual gains can be assessed. A driver tree along with Logistic Operating Curves and transfer functions that allow a monetary evaluation of changes in the logistic performance, form the basis for this decision logic.
[1]
Ronald H. Ballou,et al.
Business logistics/supply chain management : planning, organizing, and controlling the supplay chain / Ronald H. Ballou
,
2004
.
[2]
Peter Nyhuis,et al.
Fundamentals of Production Logistics
,
2009
.
[3]
Pablo Fernández.
EVA, Economic Profit, and Cash Value Added do not Measure Shareholder Value Creation
,
2002
.
[4]
Peter Nyhuis,et al.
Logistic Production Operating Curves – Basic Model of the Theory of Logistic Operating Curves
,
2006
.
[5]
Douglas M. Lambert,et al.
Measuring and Selling the Value of Logistics
,
2000
.