Supporting decisions in real-time enterprises: autonomic supply chain systems

Original Article


Supporting decisions in real time has been the subject of a number of research efforts. This paper reviews the technology and architecture necessary to create an autonomic supply chain for a real-time enterprise for supply chain systems. The technologies weaved together include knowledge-based event managers, intelligent agents, radio frequency identification (RFID), database and system integration, and enterprise resource planning systems.


Real-time enterprises Autonomic System Supply chain 


  1. Aberdeen Group (2006) Global Supply Chain Bench Mark Report, June 2006. Accessed via
  2. Ahn J, Ezawa K (1997) Decision support for real time telemarketing operations through Bayesian network learning. Decis Support Syst 21(1):17–27CrossRefGoogle Scholar
  3. Alvarado F (2005) Controlling power systems with price signals. Decis Support Syst 40(3–4):495–504Google Scholar
  4. Anthes G Agents of change, Computerworld, 27, 2003, 26–27. Accessed,4814,77855,00.html
  5. Aron R, Sundararajan A, Viswanathan S (2006) Intelligent agents in electronic markets for information goods: customization, preference revelation and pricing. Decis Support Syst 41(4):764–786CrossRefGoogle Scholar
  6. Babaioff M, Walsh WE (2005) Incentive compatible, budget balanced, yet highly efficient auctions for supply chain formation. Decis Support Syst 39(1):123–149CrossRefGoogle Scholar
  7. Balbo F, Pinson S (2005) Dynamic modeling of a disturbance in a multi-agent system for traffic regulation. Decis Support Syst 41(1):131–146CrossRefGoogle Scholar
  8. Bergey P, Ragsdale C, Hoskote M (2003) A decision support system for the electric power districting problem. Decis Support Syst 36(1):1–17CrossRefGoogle Scholar
  9. Beroggi G, Wallace W (1994) A prototype decision support system in hypermedi a for operational control of hazardous material shipments. Decis Support Syst 12(1): 1–12CrossRefGoogle Scholar
  10. Bradach J (1996) Organizational Alignment: The 7-S Model. Harvard Business School, 9-497-045, November 1996Google Scholar
  11. Cisco Systems, Networking Products Marketplace. Accessed via
  12. Dutta A, Heda S (2000) Information systems architecture to support managed care business processes. Decis Support Syst 30(2):217–225CrossRefGoogle Scholar
  13. Forgionne G, Kohli R (1996) HMMS: a management support system for concurrent hospital decision making. Decis Support Syst 16(3):209–229CrossRefGoogle Scholar
  14. Gelernter D (1992) Mirror worlds. Oxford University Press, OxfordGoogle Scholar
  15. Gill L (2003) F-35 Joint strike fighter autonomic logistics supply chain.
  16. Grosson J (2004) The Department of the Navy 2004 Logistics Conference,” 20 May 2004, Lockheed Martin Presentation. Accessed via
  17. Hamblen M Wal-Mart (2002) Chooses Internet Protocol for Data Exchange. Computer world, 16 September 2002. Accessed via,10801,74282,00.htmlGoogle Scholar
  18. Haskins W, Wal-Mart (2006) CIO Reaffirms Commitment to RFID. 14 April 2006, 2:35PM. Accessed via /story.xhtml?story_id=111000999DMI
  19. Holsapple C, Sena M (2005) ERP plans and decision support benefits. Decis Support Syst 38(4):575–590CrossRefGoogle Scholar
  20. IBM Autonomic computing, Accessed via
  21. Karacapilidis N, Moraitis P (2001) Building an agent mediated electronic commerce system with decision analysis features. Decis Support Syst 32(1):53–69CrossRefGoogle Scholar
  22. Kimbrough S, Wu DJ, Zhong F (2002) Computers play the beer game: can artificial agents manage supply chains. Decis Support Syst 33(3):323–333CrossRefGoogle Scholar
  23. Li S, Lin B (2006) Accessing information sharing and information quality in supply chain management. Decis Support Syst 42(3):1641–1656CrossRefGoogle Scholar
  24. Liu R, Kumar A, van der Aalst WMP (2007) A formal modeling approach for supply chain event management. Decis Support Syst 43(3):761–778CrossRefGoogle Scholar
  25. Nielsen (2005) Tesco RFID trials, in AC RFID insights, 2nd edn. p 8Google Scholar
  26. O’Leary D (2006) Using mirror worlds to support supply network management. In: Applications of management sciences, vol 12. Elsevier, Amsterdam, pp 199–212Google Scholar
  27. Papamichail KN, French S (2005) Design and evaluation of an intelligent decision support system for nuclear emergencies. Decis Support Syst 41(1):88–111Google Scholar
  28. Pfeffer J (1994) Competitive advantage through peopleGoogle Scholar
  29. Rohde L (2004) Microsoft, IBM, Philips to back RFID, Infoworld, 26 January 2004. Accessed via
  30. SAP (2001) SAP evolves supply chains into adaptive supply chain networks, 2001. Accessed via
  31. Schwartz E (2003) RFID about to Explode. Infoworld, February, p 26Google Scholar
  32. Thomas S (2002) SAP survey project, SAP Corporate Research, unpublished presentation, Agents for commercial applications, January, 2002. Accessed via
  33. Ton Z, DessainV, Stachowiak-Joulain M (2005) RFID at Metro Group, Harvard Business School, 9-606-053, 9 November 2005Google Scholar
  34. Waterman R, Peters T, Phillips J (1980) Structure is not Organization. Business HorizonsGoogle Scholar
  35. Wu B, Liu Z, George R, Shujaee KA (2005) e-Wellness: building a smart hospital by leveraging RFID Networks, Proceedings of the 2005 IEEE engineering in medicine and biology, 27th Annual Conference, Shanghai, China, September, pp 3826–3829Google Scholar
  36. Yao Y, Evers PT, Dresner ME (2007) Supply chain integration in vendor managed inventory. Decis Support Syst 43(2):663–674CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.University of Southern CaliforniaLos AngelesUSA

Personalised recommendations