Simulation results for supply chain configurations based on information sharing

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Simulation results for supply chain configurations based on information sharing

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Winter Simulation Conference archive
Proceedings of the 38th conference on Winter simulation table of contents

Monterey, California

SESSION: Business process modeling: supply chain simulation table of contents

Pages: 627 - 635

Year of Publication: 2006

ISBN:1-4244-0501-7

Authors

Rong Liu	Penn State University, University Park, PA
Akhil Kumar	Penn State University, University Park, PA
Alan J. Stenger	University of Auckland, Auckland, New Zealand

Sponsors

IEICE ESS : Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE-CS\DATC : The IEEE Computer Society
INFORMS-CS : Institute for Operations Research and the Management Sciences-College on Simulation
NIST : National Institute of Standards and Technology
SIGSIM: ACM Special Interest Group on Simulation and Modeling
(SCS) : The Society for Modeling and Simulation International

Publisher

Winter Simulation Conference

Bibliometrics

Downloads (6 Weeks): 5, Downloads (12 Months): 50, Citation Count: 1

Additional Information:

abstract references cited by collaborative colleagues

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ABSTRACT

As supply chains evolve beyond the confines of individual organizations, information sharing has become the Holy Grail in supply chain technology. Although the value of information sharing is well recognized, there is little research on how to use it to configure supply chains. This paper proposes a parameterized model to capture information sharing in a supply chain. By changing the parameters of this model, we actually adjust information sharing and create supply chain configurations. Configurations are the means of responding to events or changes in supply chains in a timely manner. A complete example is used to demonstrate this methodology. We also perform simulation experiments to compare configurations and to understand the effect of information sharing on supply chain performance. Thus, we show how to achieve supply chain configurability by leveraging information sharing.

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	Angulo, A., H. Nachtmann, and M. Waller. 2004. Supply Chain Information Sharing in a Vendor Managed Inventory Partnership. Journal of Business Logistics 25 (1): 101--116.
	2	Chopra, S., and P. Meindl. 2001. Supply Chain Management: Strategy, Planning, and Operations, Prentice Hall, Upper Saddle River, NJ.
	3	Finley, F., and S. Srikanth. 2005. 7 Imperatives for Successful Collaboration. Supply Chain Management Review, January/February, pp. 30--37.
	4	Fox, M. S., M. Barbuceanu, and R. Teigen. 2000. Agent-Oriented Supply Chain Management. The International Journal of Flexible Manufacturing Systems 12 (2--3): 165--188.
	5	Gosain, S., A. Malhotra., and O. A. El Sawy. 2004. Coordinating for Flexibility in e-Business Supply Chains. Journal of Management Information Systems, 21 (3): 7--45.
	6	Haeckel, S. H. 1999. Adaptive Enterprise: Creating and Leading Sense-and-Respond Organizations, Harvard Business School Press.
	7	IBM Rational XDE. Version 2003.06.12. http://www-306.ibm.com/software/awdtools/developer/rosexde/
	8	S. Kapoor , K. Bhattacharya , S. Buckley , P. Chowdhary , M. Ettl , K. Katircioglu , E. Mauch , L. Phillips, A technical framework for sense-and-respond business management, IBM Systems Journal, v.44 n.1, p.5-24, January 2005
	9	David Kelton , Randall P. Sadowski , David T. Sturrock, Simulation with Arena, McGraw-Hill, Inc., New York, NY, 2003
	10	Lee, H. 2004. The Triple-A Supply Chain Harvard Business Review, October, pp. 102--112.
	11	Liu, R., and A. Kumar. 2003. Leveraging Information Sharing to Increase Supply Chain Configurability. In Proceedings of International Conference on Information Systems (ICIS 2003), Seattle, pp.523--536.
	12	Malhotra, A., S. Gosain, and O. A. El Sawy. 2005. Absorptive Capacity Configurations in Supply Chains: Gearing for Partner-enabled Market Knowledge Creation. MIS Quarterly 29 (1): 145--187.
	13	Dennis McCarthy , Umeshwar Dayal, The architecture of an active database management system, Proceedings of the 1989 ACM SIGMOD international conference on Management of data, p.215-224, June 1989, Portland, Oregon, United States
	14	Miller H. 1996. The Multiple Dimensions of Information Quality," Information System Management 13 (2): 79--82.
	15	NØkkentved, C., and L. Hedaa. 2000. Collaborative Processes in esupply Networks. In Proceedings of the 16th International Marketing and Purchasing Group Conference, U.K, Available via http://www.bath.ac.uk/imp/pdf/90_NoekkentvedHedaa.pdf.
	16	OMG. 2003. Unified Modeling Language Specification, Version 1.5. Object Management Group, (Available via http://www.omg.org/technology/documents/formal/uml.htm)
	17	Supply-Chain Council. 2003. Supply-Chain Operations Reference-Model, Overview of SCOR, Version 6.0., Available at <http://www.supply-chain.org/scoroverview.asp>.
	18	Tyworth, J. E., Y. Guo, and R. Ganeshan. 1996. Inventory Control Under Gamma Demand and Random Lead Time. Journal of Business Logistics, 17 (1):291--304.
	19	Waller, M, M. E. Johnson, and T. Davis. 1999. Vendor Managed Inventory in the Retail Supply Chain. Journal of Business Logistics, 20 (1):183--203.
	20	XQuery 2000. XQuery 1.0: An XML Query Language. W3C. Available at <http://www.w3.org/TR/2005/WD-xquery-20050404/>.

CITED BY

Kanna Miwa , Soemon Takakuwa, Simulation modeling and analysis for in-store merchandizing of retail stores with enhanced information technology, Proceedings of the 40th Conference on Winter Simulation, December 07-10, 2008, Miami, Florida

Collaborative Colleagues:

Rong Liu: colleagues

Akhil Kumar: colleagues

Alan J. Stenger: colleagues

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