Supply chain simulation: distributed supply chain simulation using a generic job running framework
Pages 1305 - 1312
Abstract
For supply chain performance simulation that involves aggregating results from multiple runs of the same underlying model, simulation iterations can be distributed to networked computing resources to achieve significant speedup. This paper presents a generic distributed job running framework that facilitates such high performance supply chain simulation. We first introduce a supply chain modeling and simulation tool developed by IBM Research, and summarize the strategy to enhance it. A closer look is then taken at a generic job running framework we designed and how it was used to bring the distributed simulation capability to the tool. After reviewing an ongoing effort to integrate the new tool with the IBM MathGrid environment, we conclude the paper with a brief discussion of our future work.
References
[1]
Bagchi, S., S. J. Buckley, M. Ettl, and G. Y. Lin. 1998. Experience Using the IBM Supply Chain Simulator. In Proceedings of the 1998 Winter Simulation Conference, ed. J. M. Charnes, D. M. Morrice, D. T. Brunner, and J. J. Swain, 65--72. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers.
[2]
Cao, H. et al. 2003. A Simulation-based Tool for Inventory Analysis in a Server Computer Manufacturing Environment. In Proceedings of the 2003 Winter Simulation Conference, ed. S. Chick, P. J. Sánchez, D. Ferrin, and D. J. Morrice.
[3]
Fujimoto, R. M. 1999a. Parallel and Distributed Simulation Systems (Wiley series on parallel and distributed computing). John Wiley & Sons, New York, NY.
[4]
Gamma, E. et al. 2000. Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley.
[5]
Lin, Y. G. et al. 2002. The New Frontier: Sense and Respond System for Value Chain Optimization. ORMS Today: April 2002.
[6]
Mascarenhas, E., V. Rego, and J. Sang. 1995. DISplay: A System for Visual-Interaction in Distributed Simulations. In Proceedings of the 1995 Winter Simulation Conference, ed. C. Alexopoulos, K. Kang, W. R. Lilegdon, and D. Goldsman, 698--705.
[7]
Sudra, R., S. J. E. Taylor, and T. Janahan. 2000. Distributed Supply Chain Simulation in GRIDS. In Proceedings of the 2000 Winter Simulation Conference, ed. J. A. Joines, R. R. Barton, K. Kang, and P. A. Fishwick, 356--361.
[8]
Sun Microsystems, Inc. 1999. Delegation Event Model. <http://java.sun.com/productsjdk/1.1/docs/guide/awt/designspec/events.html>.
Recommendations
Teaching supply chain simulation: from beginners to professionals
WSC '15: Proceedings of the 2015 Winter Simulation ConferenceBoth in academia and industry, supply chain simulation is a relatively mature subject. Academic researchers have produced supply chain modelling/simulation frameworks and have used simulation to teach supply chain dynamics. A review of industrial ...
Ontologies for supply chain simulation modeling
WSC '05: Proceedings of the 37th conference on Winter simulationSimulation might be an effective decision support tool in supply chain management. The review of supply chain simulation modeling methodologies revealed some issues one of which is the practicability of simulation in the supply chain environment. The ...
Supply chain simulation with discrete-continuous combined modeling
Supply chain managementMany simulation models have been built to facilitate the use of simulation in designing, evaluating, and optimizing supply chains. Simulation is preferred to deal with stochastic natures existing in the supply chain. Moreover, simulation has a ...
Comments
Information & Contributors
Information
Published In
Sponsors
- IIE: Institute of Industrial Engineers
- INFORMS/CS: Institute for Operations Research and the Management Sciences/College on Simulation
- ASA: American Statistical Association
- ACM: Association for Computing Machinery
- SIGSIM: ACM Special Interest Group on Simulation and Modeling
- IEEE/CS: Institute of Electrical and Electronics Engineers/Computer Society
- NIST: National Institute of Standards and Technology
- (SCS): The Society for Modeling and Simulation International
- IEEE/SMCS: Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
Publisher
Winter Simulation Conference
Publication History
Published: 07 December 2003
Check for updates
Qualifiers
- Article
Conference
Acceptance Rates
WSC '03 Paper Acceptance Rate 128 of 189 submissions, 68%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 323Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Reflects downloads up to 01 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in