Details
| Original language | English |
|---|---|
| Title of host publication | IE and EM 2009 |
| Subtitle of host publication | Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management |
| Pages | 434-437 |
| Number of pages | 4 |
| ISBN (electronic) | 978-1-4244-3672-9 |
| Publication status | Published - 2009 |
| Event | 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management, IE and EM 2009 - Beijing, China Duration: 21 Oct 2009 → 23 Oct 2009 |
Publication series
| Name | IE and EM 2009 - Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management |
|---|
Abstract
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 Universitat 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.
Keywords
- Evaluation, Logistic operating curves, Production logistics, Transfer functions
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Business, Management and Accounting (miscellaneous)
- Engineering(all)
- Industrial and Manufacturing Engineering
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IE and EM 2009: Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management. 2009. p. 434-437 5344555 (IE and EM 2009 - Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Economic production identifying optimal economical and logistical measures
AU - Kennemann, Marco
AU - Wriggers, F. S.
AU - Nyhuis, Peter
PY - 2009
Y1 - 2009
N2 - 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 Universitat 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.
AB - 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 Universitat 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.
KW - Evaluation
KW - Logistic operating curves
KW - Production logistics
KW - Transfer functions
UR - http://www.scopus.com/inward/record.url?scp=77949466291&partnerID=8YFLogxK
U2 - 10.1109/ICIEEM.2009.5344555
DO - 10.1109/ICIEEM.2009.5344555
M3 - Conference contribution
AN - SCOPUS:77949466291
SN - 9781424436705
T3 - IE and EM 2009 - Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management
SP - 434
EP - 437
BT - IE and EM 2009
T2 - 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management, IE and EM 2009
Y2 - 21 October 2009 through 23 October 2009
ER -