1. Abstract The choice of reference processes during the design phase is of utmost importance for a supply chains’ overall performance. Nonetheless practical experience gained in consulting projects provides numerous examples of unaligned processes. Thus the research project to be presented in this paper is aimed at establishing an easy to use framework for aiding decision makers faced with this problem and at providing a solution for this classical optimization problem in supply chain management. For this purpose the widely applied and accepted SCOR model was enhanced. In a first step the Level 2 processes already implemented in SCOR were analyzed. Thereafter, adjustments were made to Level 2 of the SCOR model if deemed necessary. The resulting model makes it possible to distinguish between the important processes covered in literature and established in companies clearly and thus increases the ability to model supply chains in a meaningful way. Corresponding Level 3 processes were then allotted to each Level 2 process. While providing a first indication of the expenses for each Level 2 process, sensible combinations of these processes were revealed as well. Ongoing work is targeting Level 4 processes as a source for a better understanding of Level 2 expenditures. Still an example of standardized Level 4 processes for Source is given. Matching Logistic Performance Indicators which will allow a holistic optimization of the supply chain are currently being developed. These indicators’ values will be strongly dependent on the chosen Level 2 processes. Based on these logistic performance indicators the overall supply chain performance can be evaluated as well as the impact of strategic logistic measures. Thus the enhanced process model and the matching indicators will form a framework for optimizing the supply chain configuration and strategy. 2.
[1]
William D. Presutti,et al.
The supply chain-finance link
,
2007
.
[2]
Paul Schönsleben,et al.
A decomposition-based approach for the development of a supply chain strategy
,
2007
.
[3]
Peter Bolstorff,et al.
Supply Chain Excellence
,
2003
.
[4]
Ralf Hieber.
Supply chain management - a collaborative performance measurement approach
,
2002
.
[5]
Shirley Dex,et al.
JR 旅客販売総合システム(マルス)における運用及び管理について
,
1991
.
[6]
H. Günter,et al.
Measuring Supply Chain Performance: Current Research and Future Directions
,
2006
.
[7]
Hans-Jörg Bullinger,et al.
Analysing supply chain performance using a balanced measurement method
,
2002
.
[8]
H. Wiendahl,et al.
Production in Networks
,
2002
.
[9]
Peter Nyhuis,et al.
Controlling in Lieferketten
,
2006
.
[10]
Steven B. Lyman,et al.
Supply chain management: a strategic perspective
,
2002
.
[11]
B. Beamon.
Supply chain design and analysis:: Models and methods
,
1998
.