A DESIGN FOR BUSINESS INTELLIGENCE SERVICE IN DEMAND DRIVEN SUPPLY CHAIN MANAGEMENT

T. He, P. Ribbins, R. Brown, L. Sun, C. Gurr

2007

Abstract

This paper discusses the problems inherent within traditional supply chain management’s forecast and inventory management processes arising when tackling demand driven supply chain. A demand driven supply chain management architecture developed by Orchestr8 Ltd., U.K. is described to demonstrate its advantages over traditional supply chain management. Within this architecture, a metrics reporting system is designed by adopting business intelligence technology that supports users for decision making and planning supply activities over supply chain health.

References

  1. Askegar, V., 2004. The Demand-driven Supply Network [Electronic version]. Supply Chain Management Review, April, 8(3): 15-16.
  2. Cecere, L., O'Marah K. and Preslan L, 2004. Driven By Demand, [Electronic version]. Supply Chain Management Review, 8(8): 15-16.
  3. Hofman, D.H., 2004. The Hierarchy of Supply Chain Metrics, [Electronic version]. Supplier Chain Management Review, pp: 28-37.
  4. Sandeep, K. and Sourabh D. 2005. Business Intelligence - Delivering Business Data through Supply Chain Analytics, [Electronic version]. Infosys Viewpoint, January. Retrieved January 30, 2007, from http://www.infosys.com/supplychain/Supply_Chain_A nalytics.pdf.
  5. Mundy, J. and Thornthwaite W., 2005. The Microsoft Data Warehouse Toolkit. Wiley Publishing Inc., Indianapolis, Indiana.
  6. Lamber, D.M., Cooper M.C. and Pagh J.D., 1998. Supply Chain Management Issues & Research Opportunities, [Electronic version]. Int. Journal of Logistics Management, 9(2): 1-19.
  7. Orchetr8, 2005. Investigation on Business Methodology. Business Process Documentation, Orchestr8 Ltd.
  8. Orchetr8, 2006. Business Intelligence Metrics Reporting Service Design and its Architecture. Business Process Documentation, Orchestr8 Ltd.
  9. Orchetr8, 2006. Sales and Operations Planning Report Pack, Business Process Documentation, Orchestr8 Ltd.
  10. Poluha, R.G., 2006. Application of the SCOR Model in Supply Chain Management. Cambria Press, Youngstown, NY.
  11. Tersine R.J., 1982. Principles of Inventory and Materials Management. Elsevier Science Publishing Co., Inc.. 2nd edition.
  12. Warwick Manufacturing Group, 2003. Introduction to Forecast, Logistics and Operations Management. Whitepaper, Warwick Manufacturing Group, University of Warwick.
  13. Waters, D., 2003. Inventory Control & Management. John Wiley & Sons Publishing. 2nd. Edition.
Download


Paper Citation


in Harvard Style

He T., Ribbins P., Brown R., Sun L. and Gurr C. (2007). A DESIGN FOR BUSINESS INTELLIGENCE SERVICE IN DEMAND DRIVEN SUPPLY CHAIN MANAGEMENT . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-972-8865-91-7, pages 20-25. DOI: 10.5220/0002412700200025


in Bibtex Style

@conference{iceis07,
author={T. He and P. Ribbins and R. Brown and L. Sun and C. Gurr},
title={A DESIGN FOR BUSINESS INTELLIGENCE SERVICE IN DEMAND DRIVEN SUPPLY CHAIN MANAGEMENT},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2007},
pages={20-25},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002412700200025},
isbn={978-972-8865-91-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - A DESIGN FOR BUSINESS INTELLIGENCE SERVICE IN DEMAND DRIVEN SUPPLY CHAIN MANAGEMENT
SN - 978-972-8865-91-7
AU - He T.
AU - Ribbins P.
AU - Brown R.
AU - Sun L.
AU - Gurr C.
PY - 2007
SP - 20
EP - 25
DO - 10.5220/0002412700200025