Details
| Original language | English |
|---|---|
| Title of host publication | 21st International Conference on Production Research |
| Subtitle of host publication | Innovation in Product and Production, ICPR 2011 - Conference Proceedings |
| ISBN (electronic) | 9783839602935 |
| Publication status | Published - 2011 |
| Event | 21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Stuttgart, Germany Duration: 31 Jul 2011 → 4 Aug 2011 |
Publication series
| Name | 21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings |
|---|
Abstract
Typical logistics problems of multi-variant series productions are characterized by long and fluctuating lead times, high inventories, networked material flow structures, and complex requirements on the order sequence formation at machines. In order to achieve a competitive market position, identifying and quantifying the logistics potentials for improving the delivery performance is consequently a primary challenge. The technologically demanding process of a steel mill is influenced by different factors, e.g. changing sequencing rules, high set up times, and specific customer wishes. The challenge is to identify the most relevant parameters for due date reliability and the derivation of effective counter-measures in order to improve due date reliability. The problems in quantifying the potentials for improving the delivery performance to the customers consist in identifying the appropriate way to parameterize them and in their mutual (reciprocal) influence on each other. Therefore a combination of identification methods for one-dimensional and multi-dimensional correlations between delivery performance and potential improvement measures have been enhanced and applied. The gained results demonstrate the applicability of the described approaches for solving these problems in similar case studies and research issues.
Keywords
- Due date reliability, Lateness, Punctuality potentials, Steel manufacturing
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Computer Science(all)
- Computer Science Applications
- Engineering(all)
- Industrial and Manufacturing Engineering
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21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings. 2011. (21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Improving due date reliability of steel mills
T2 - 21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011
AU - Windt, Katja
AU - Nyhuis, Peter
AU - Kolev, Ivelin
AU - Gebhardt, Nicolas
AU - Eilmann, Jörn
AU - Fronia, Philip
AU - Bertsch, Sebastian
PY - 2011
Y1 - 2011
N2 - Typical logistics problems of multi-variant series productions are characterized by long and fluctuating lead times, high inventories, networked material flow structures, and complex requirements on the order sequence formation at machines. In order to achieve a competitive market position, identifying and quantifying the logistics potentials for improving the delivery performance is consequently a primary challenge. The technologically demanding process of a steel mill is influenced by different factors, e.g. changing sequencing rules, high set up times, and specific customer wishes. The challenge is to identify the most relevant parameters for due date reliability and the derivation of effective counter-measures in order to improve due date reliability. The problems in quantifying the potentials for improving the delivery performance to the customers consist in identifying the appropriate way to parameterize them and in their mutual (reciprocal) influence on each other. Therefore a combination of identification methods for one-dimensional and multi-dimensional correlations between delivery performance and potential improvement measures have been enhanced and applied. The gained results demonstrate the applicability of the described approaches for solving these problems in similar case studies and research issues.
AB - Typical logistics problems of multi-variant series productions are characterized by long and fluctuating lead times, high inventories, networked material flow structures, and complex requirements on the order sequence formation at machines. In order to achieve a competitive market position, identifying and quantifying the logistics potentials for improving the delivery performance is consequently a primary challenge. The technologically demanding process of a steel mill is influenced by different factors, e.g. changing sequencing rules, high set up times, and specific customer wishes. The challenge is to identify the most relevant parameters for due date reliability and the derivation of effective counter-measures in order to improve due date reliability. The problems in quantifying the potentials for improving the delivery performance to the customers consist in identifying the appropriate way to parameterize them and in their mutual (reciprocal) influence on each other. Therefore a combination of identification methods for one-dimensional and multi-dimensional correlations between delivery performance and potential improvement measures have been enhanced and applied. The gained results demonstrate the applicability of the described approaches for solving these problems in similar case studies and research issues.
KW - Due date reliability
KW - Lateness
KW - Punctuality potentials
KW - Steel manufacturing
UR - http://www.scopus.com/inward/record.url?scp=84923434203&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84923434203
T3 - 21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings
BT - 21st International Conference on Production Research
Y2 - 31 July 2011 through 4 August 2011
ER -