| MasDISPO_xt: heat and sequence optimisation based on simulated trading inside the supply chain of steel production |
| Full text |
Pdf
(700 KB)
|
Source
|
International Conference on Autonomous Agents
archive
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
table of contents
Estoril, Portugal
SESSION: Manufacturing and logistics
table of contents
Pages 23-26
Year of Publication: 2008
|
|
Authors
|
|
Sven Jacobi
|
German Research Center for Artificial Intelligence, Stuhlsatzenhausweg, Saarbrrücken
|
|
David Raber
|
German Research Center for Artificial Intelligence, Stuhlsatzenhausweg, Saarbrrücken
|
|
Klaus Fischer
|
German Research Center for Artificial Intelligence, Stuhlsatzenhausweg, Saarbrrücken
|
|
| Sponsors |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 3, Downloads (12 Months): 27, Citation Count: 0
|
|
|
ABSTRACT
The production of steel normally constitutes the inception of most Supply Chains in different areas. Steel manufacturing companies are strongly affected by bull whip effects. Due to nondeterministic incoming orders and changes of customer requirements on accepted orders, making the right decision at a certain stage can be the difference between earning or loosing a great turnover. Improving their operational efficiency is required to keep a competitive position on the market. Therefore, flexible planning and scheduling systems are needed to support these processes which are based on considerable amounts of data which can hardly be processed manually. Existing systems are dominated by centralized decision making processes, mostly data driven and often not modeling the business processes they should. MasDISPO_xt is an agent-based generic online planning and online scheduling system for monitoring of the complete Supply Chain of Saarstahl AG, a globally respected steel manufacturer. This paper concentrates on the creation and optimisation of heats and sequences as a presetting for the production inside the steelwork.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
A. Bachem, W. Hochstaettler, and M. Malich. Simulated trading: A new approach for solving vehicle routing problems. Technical Report Tech. Rep. 92.125, Mathematisches Institut der Universitaet zu Koeln, 1992.
|
| |
2
|
|
| |
3
|
H. Bartsch and P. Bickenbach. Supply Chain Management mit SAP APO. SAP Press, 2nd ed., 2002.
|
| |
4
|
D. Booth, H. Haas, F. McCabe, E. Newcomer, M. Champion, C. Ferris, and D. Orchard. Web services architecture, working group note, http://www.w3.org/tr/ws-arch/, 2004.
|
| |
5
|
N. Gronau. Enterprise Resource Planning und Supply Chain Management: Architektur und Funktionen. Oldenbourg (Muenchen), 2004.
|
 |
6
|
|
| |
7
|
S. Jacobi, E. Leon-Soto, C. Madrigal-Mora, and K. Fischer. Masdispo: A multiagent decision support system for steel production and control. AAAI Innovative Applications of Artificial Intelligence, 2007.
|
| |
8
|
M. Malich. Simulated trading: Ein paralleles verfahren zur lösung von kombinatorischen optimierungsproblemen, 1994.
|
| |
9
|
|
| |
10
|
SAP. Integration von mes-systemen in sap for mill products, 2004.
|
| |
11
|
|
| |
12
|
|
INDEX TERMS
Primary Classification:
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.8
Problem Solving, Control Methods, and Search
Subjects:
Scheduling
Additional Classification:
H.
Information Systems
H.4
INFORMATION SYSTEMS APPLICATIONS
H.4.2
Types of Systems
Subjects:
Decision support (e.g., MIS)
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.11
Distributed Artificial Intelligence
Subjects:
Intelligent agents
I.2.8
Problem Solving, Control Methods, and Search
Subjects:
Plan execution, formation, and generation
J.
Computer Applications
J.6
COMPUTER-AIDED ENGINEERING
Subjects:
Computer-aided manufacturing (CAM)
General Terms:
Algorithms,
Design,
Management,
Theory
|