Abstract
This chapter discusses several innovations in information and communication technology and develops their potential to radically alter our view of the supply chain in quick response applications. Using the packet-switching framework as an analogy, it explores the way in which intelligent products may operate to dynamically adjust to market volatility. The changes will require new thinking in areas such as supply chain optimization and the handling of services in the supply chain or demand network. The main contribution here is to extend the research framework for dynamic information management for quick response networks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ahn HJ, Lee H (2004) An agent-based dynamic information network for supply chain management. BT Tech J 22(2):18–27
Almirall E, Brito I, Silisque A, Cortés U (2003) From supply chains to demand networks: the electrical bazaar-agents in retailing. http://www.minds-on-fire.com/zupc/publ/AiRCaepia2003.pdf
Andrews J, Benisch M, Sardinha A, Sadeh, N (2007) What differentiates a winning agent: an information gain based analysis of TAC-SCM. AAAI-07 Workshop on trading agent design and analysis (TADA’07), Vancouver, Canada
4. Arunachalam R, Sadeh N (2005) The supply chain trading agent competition. Electronic Commerce Research and Applications, 4(1)
Asif Z, Mandiwalla M (2005) Integrating the supply chain with RFID: a technical and business analysis. Comm Assoc Inform Syst 15:393–427
Bardaki C, Pramatar K, Doudakis GI (2007) RFID-enabled supply chain collaboration services in a networked retail business environment. 20th Bled econference emergence: merging and emerging technologies, processes and institutions. Slovenia
Barker JR, Finnie G (2004) A model for global material management using dynamic information, Americas conference on information systems, New York, USA
Cao Q, Leggio KB (2008) Alleviating the bullwhip effect in supply chain management using the multi-agent approach: an empirical study. Int J Comput Appl Tech 31(3–4):225–237
9. Christopher M (2000) The agile supply chain: competing in volatile markets. Ind Market Manag 29(1)
10. Christopher M, Towill D (2002) Developing market specific supply chain strategies. Int J Logist Manag 13(1)
Culler DE, Mulder H (2004) Smart sensors to network the world. Sci Am 290(6):85–93
Economist Intelligence Unit (2006) Foresight 2020: economic, industry and corporate trends. Available from http://www.eiu.com/site_info.asp?info_name=eiu_Cisco_Foresight_2020&rf=0
Finnie G, Barker JR, Sun Z (2004) A multi-agent model for cooperation and negotiation in supply networks. Americas conference on information systems, New York, USA
Fox MS, Barbuceanu M, Teigen R (2000) Agent-oriented supply-chain management. Int J Flex Manuf Syst 12:165–188
Gouyon D, David M (2008) Implementing the concept of product-driven control using wireless sensor networks: some experiments and issues. Proceedings 17th IFAC World Congress, Korea
Hanebeck C (2006) Managing data from RFID & sensor-based networks: implications and considerations for data management challenges. Available at http://www.globeranger.com/pdfs/futureoftheedge/GlobeRangerRFIDData.pdf
Hanebeck HL, Raisinghani MS (2007) Delivering on the promise of auto-ID through intelligent agent technologies. Int J Innovat Learn 4(4):411–424
Haouzi HE, Petin JF, Thomas A (2009) Design and validation of a product-driven control systems based on a six sigma methodology and discrete event simulation. Prod Plann Contr 20:142–156
Hoekstra S, Romme J (1992) Integrated logistics structures: developing customer oriented goods flow. McGraw-Hill, London
Karkkainen M, Holmstrom J, Framling K, Artto K 2003, Intelligent products: a step towards a more effective project delivery chain. Comput Ind 50(2):141–151
21. Kim JB, Segev A (2003) Multi-component contingent auction (MCCA): a procurement mechanism for dynamic formation of supply networks. Proc ACM conf electron commerce 78–86
Leitao P, Restivo F (2006) ADACOR: A holonic architecture for agile and adaptive manufacturing control. Comput Ind 5:121–130
Luh PB, Ni M, Chen H, Thakur LS (2003) Price-based approach for activity coordination in a supply network. IEEE Trans Robot Autom 19(2):335–346
Leach PT (2004) Inventory in motion. J Commerce 29
Meyer GG, Framling K, Holmstrom J (2009) Intelligent products: a survey computers in industry 60(3):137–148
Mooney JG, Gurbaxani V, Kraemer KL (1996) A process oriented framework for assessing the business value of information technology. ACM SIGMIS Database Adv 27(2):68–81
Monteiro T, Roy D, Anciaux D (2007) Multi-site coordination using a multi-agent system. Comput Ind 58(4):367–377
28. Morel G, Panetto H, Zaremba M, Mayer F (2003) Manufacturing enterprise control and management system engineering: rationales and open issues. Annu Rev Contr 27–32
Moore JF (1993) Predators and prey: a new ecology of competition. Harv Bus Rev 71(3):75–86
Niederman F, Mathieu RG, Morley R, Kwon IW (2007) Examining RFID applications in supply chain management. Comm ACM 50(7):92–101
Nissen ME (2001) Agent-based supply chain integration. Inform Tech Manag 2(3):289–312
Olhager J (2003) Strategic positioning of the order penetration point. Int J Prod Econ 85:319–329
Pannequin R, Morel G, Thomas A (2009) The performance of product-driven manufacturing control: an emulation-based benchmarking study. Comput Ind. 60
Rudberg M, Wikner J (2004) Mass customization in terms of the customer order decoupling point. Prod Plann Contr 15(4):445–458
35. Sadeh-Koniecpol ND, Hildum J, Kjenstad H (2003) MASCOT: an agent-based architecture for dynamic supply chain creation and coordination in the internet economy. Prod Plann Contr 12(3)
Schuster E, Brock DL (2004) Creating an intelligent infrastructure for ERP: the role of auto-ID technology. This is a working paper for APICS
Schuster EW, Allen SJ, Brock DL (2007). Global RFID: the value of the EPCglobal network for supply chain management. Springer-Verlag, New York
Sharman G (1984) The rediscovery of logistics. Harv Bus Rev 62:71–80
Shingo S (1981) Study of Toyota production system from industrial engineering viewpoint. Japan Management Association, Tokyo
Silisque A, Brito I, Almirall E, Cortés U (2003) From supply chains to demand networks. Agents in retailing. The Electrical Bazaar Artificial Intelligence Research Report. LSI-03-41-R
Supply Chain Management Terms and Glossary (2009) Council of supply chain management professionals. http://cscmp.org/digital/glossary/glossary.asp
Tellkamp C (2006) The impact of auto-ID technology on process performance: RFID in the FMCG supply chain. Doctoral thesis, Universität St. Gallen
Watson RT (ed) (2007) Information systems. University of Georgia, http://globaltext.terry.uga.edu/books
Weeks D, Crawford FA (1994) Efficient consumer response: a mandate for food manufacturers? Food Process 55(2):34
Wikner J, Rudberg M (2005) Integrating production and engineering perspectives on the customer order decoupling point. Int J Oper Prod Manag 25(7):623–641
Wong CY, McFarlane D, Ahmad Zaharudin A, Agarwal A (2002) The intelligent product driven supply chain. IEEE Int Conf Syst Man Cybern
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Barker, J., Finnie, G. (2010). The Next Generation Demand Network in Quick Response Systems: Intelligent Products, Packet Switching and Dynamic Information. In: Cheng, T., Choi, TM. (eds) Innovative Quick Response Programs in Logistics and Supply Chain Management. International Handbooks on Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04313-0_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-04313-0_12
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04312-3
Online ISBN: 978-3-642-04313-0
eBook Packages: Business and EconomicsBusiness and Management (R0)