Skip to main content
SpringerLink
Log in

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

  • Original Article
  • Published:
Information Systems and e-Business Management Aims and scope Submit manuscript

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Aberdeen Group (2006) Global Supply Chain Bench Mark Report, June 2006. Accessed via http://www.aberdeen.com/summary/report/benchmark/RA_GlobalTrade_BE_3172.asp

  • Ahn J, Ezawa K (1997) Decision support for real time telemarketing operations through Bayesian network learning. Decis Support Syst 21(1):17–27

    Article  Google Scholar 

  • Alvarado F (2005) Controlling power systems with price signals. Decis Support Syst 40(3–4):495–504

    Google Scholar 

  • Anthes G Agents of change, Computerworld, 27, 2003, 26–27. Accessed http://www.computerworld.com/printthis/2003/0,4814,77855,00.html

  • 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):764–786

    Article  Google Scholar 

  • Babaioff M, Walsh WE (2005) Incentive compatible, budget balanced, yet highly efficient auctions for supply chain formation. Decis Support Syst 39(1):123–149

    Article  Google Scholar 

  • Balbo F, Pinson S (2005) Dynamic modeling of a disturbance in a multi-agent system for traffic regulation. Decis Support Syst 41(1):131–146

    Article  Google Scholar 

  • Bergey P, Ragsdale C, Hoskote M (2003) A decision support system for the electric power districting problem. Decis Support Syst 36(1):1–17

    Article  Google Scholar 

  • 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): 1–12

    Article  Google Scholar 

  • Bradach J (1996) Organizational Alignment: The 7-S Model. Harvard Business School, 9-497-045, November 1996

  • Cisco Systems, Networking Products Marketplace. Accessed via http://www.cisco.com/public/ipcguest.html

  • Dutta A, Heda S (2000) Information systems architecture to support managed care business processes. Decis Support Syst 30(2):217–225

    Article  Google Scholar 

  • Forgionne G, Kohli R (1996) HMMS: a management support system for concurrent hospital decision making. Decis Support Syst 16(3):209–229

    Article  Google Scholar 

  • Gelernter D (1992) Mirror worlds. Oxford University Press, Oxford

    Google Scholar 

  • Gill L (2003) F-35 Joint strike fighter autonomic logistics supply chain. http://opim.wharton.upenn.edu/fd/forum/pdf/Gill.pdf

  • Grosson J (2004) The Department of the Navy 2004 Logistics Conference,” 20 May 2004, Lockheed Martin Presentation. Accessed via http://www.dtic.mil/ndia/2004navylog/session3/grosson_joe_pbl.ppt

  • Hamblen M Wal-Mart (2002) Chooses Internet Protocol for Data Exchange. Computer world, 16 September 2002. Accessed via http://www.computerworld.com/industrytopics/retail/story/0,10801,74282,00.html

  • Haskins W, Wal-Mart (2006) CIO Reaffirms Commitment to RFID. 14 April 2006, 2:35PM. Accessed via http://www.bpm-today.com/news/For-Wal-Mart-Full-Speed-Ahead-on-RFID /story.xhtml?story_id=111000999DMI

  • Holsapple C, Sena M (2005) ERP plans and decision support benefits. Decis Support Syst 38(4):575–590

    Article  Google Scholar 

  • IBM Autonomic computing, Accessed via http://www.research.ibm.com/autonomic/

  • Karacapilidis N, Moraitis P (2001) Building an agent mediated electronic commerce system with decision analysis features. Decis Support Syst 32(1):53–69

    Article  Google Scholar 

  • Kimbrough S, Wu DJ, Zhong F (2002) Computers play the beer game: can artificial agents manage supply chains. Decis Support Syst 33(3):323–333

    Article  Google Scholar 

  • Li S, Lin B (2006) Accessing information sharing and information quality in supply chain management. Decis Support Syst 42(3):1641–1656

    Article  Google Scholar 

  • Liu R, Kumar A, van der Aalst WMP (2007) A formal modeling approach for supply chain event management. Decis Support Syst 43(3):761–778

    Article  Google Scholar 

  • Nielsen (2005) Tesco RFID trials, in AC RFID insights, 2nd edn. p 8

  • O’Leary D (2006) Using mirror worlds to support supply network management. In: Applications of management sciences, vol 12. Elsevier, Amsterdam, pp 199–212

  • Papamichail KN, French S (2005) Design and evaluation of an intelligent decision support system for nuclear emergencies. Decis Support Syst 41(1):88–111

    Google Scholar 

  • Pfeffer J (1994) Competitive advantage through people

  • Rohde L (2004) Microsoft, IBM, Philips to back RFID, Infoworld, 26 January 2004. Accessed via http://www.infoworld.com/archives/emailPrint.jsp?R=printThis&A=/article/04/01/26/HNmsrfid_1.html

  • SAP (2001) SAP evolves supply chains into adaptive supply chain networks, 2001. Accessed via http://www11.sap.com/company/press/press.epx?pressID=179

  • Schwartz E (2003) RFID about to Explode. Infoworld, February, p 26

  • Thomas S (2002) SAP survey project, SAP Corporate Research, unpublished presentation, Agents for commercial applications, January, 2002. Accessed via http://www.agentlink.org/agents-london/presentations/Bettina.pdf

  • Ton Z, DessainV, Stachowiak-Joulain M (2005) RFID at Metro Group, Harvard Business School, 9-606-053, 9 November 2005

  • Waterman R, Peters T, Phillips J (1980) Structure is not Organization. Business Horizons

  • 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 3826–3829

  • Yao Y, Evers PT, Dresner ME (2007) Supply chain integration in vendor managed inventory. Decis Support Syst 43(2):663–674

    Article  Google Scholar 

Download references

Acknowledgments

The author would like to acknowledge the helpful comments of the referees in the development of this paper, and one of the referees for suggesting the development of a section.

Author information

Authors and Affiliations

  1. University of Southern California, 3660 Trousdale, Los Angeles, CA, 90089-1421, USA

    Daniel E. O’Leary

Authors
  1. Daniel E. O’Leary
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Daniel E. O’Leary.

Additional information

This article is part of the “Handbook on Decision Support Systems” edited by Frada Burstein and Clyde W. Holsapple (2008) Springer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

O’Leary, D.E. Supporting decisions in real-time enterprises: autonomic supply chain systems. Inf Syst E-Bus Manage 6, 239–255 (2008). https://doi.org/10.1007/s10257-008-0086-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10257-008-0086-0

Keywords

Search

Navigation