INFORMATION SHARING AND CONTROL IN HOMOGENOUS AND HETEROGENEOUS SUPPLY NETWORKS UNDER DIFFERENT MARKET CONDITIONS

N. Ye and T. Farley

References

  1. [1] E.A. Williamson, D.K. Harrison, & M. Jordan, Information systems development within supply chain management, International Journal of Information Management, 24(5), 2004, 375–385.
  2. [2] P. Kelle & A. Akbulut, The role of ERP tools in supply chain information sharing, cooperation, and cost optimization, International Journal of Production Economics, In Press, Corrected Proof, Available online 16 July 2004.
  3. [3] A. Gunasekaran & E.W.T. Ngai, Information systems in supply chain integration and management, European Journal of Operational Research, 159(2), 2004, 269–295. doi:10.1016/j.ejor.2003.08.016
  4. [4] M. Chang & J. Harrigton, Jr., Centralization vs. decentralization in a multi-unit organization: A computational model of a retail chain as a multi-agent adaptive system, Management Science, 46(11), 1999, 1427–1440. doi:10.1287/mnsc.46.11.1427.12085
  5. [5] T. Choi, K. Dooley, & M. Rungtusanatham, Supply networks and complex adaptive systems: Control versus emergence, Journal of Operations Management, 19(3), 2001, 351–366. doi:10.1016/S0272-6963(00)00068-1
  6. [6] B. Kogut, The network as knowledge: Generative rules and the emergence of structure, Strategic Management Journal, 21(3), 2000, 405–425. doi:10.1002/(SICI)1097-0266(200003)21:3<405::AID-SMJ103>3.0.CO;2-5
  7. [7] E. Larsen, J. Morecroft, & J. Thomsen, Complex behaviour in a production distribution model, European Journal of Operational Research, 119(1), 1999, 61–74. doi:10.1016/S0377-2217(98)90349-6
  8. [8] H. Parunak & R. VanderBok, Managing emergent behavior in distributed control systems, Proc. ISA-Tech, Anaheim, CA, Instrument Society of America, 1997. Available online at http://www.erim.org/∼vparunak/isa97.pdf
  9. [9] F.K. Srinivasan, S. Kekre, & T. Mukhopadhyay, Impact of electronic data interchange technology on JIT shipments, Management Science, 40(10), 1994, 1291–1304.
  10. [10] T. Keil, E. Eloranta, J. Holmström, E. J¨arvenp¨a¨a, M. Takala, E. Autio, & D. Hawk, Information and communication technology driven business transformation—A call for research, Computers in Industry, 44(3), 2001, 263–282. doi:10.1016/S0166-3615(01)00074-4
  11. [11] F. Lin, S. Huang, & S. Lin, The effects of information sharing on supply chain performance in electronic commerce, IEEE Trans. Engineering Management, 49(3), 2002, 258–268. doi:10.1109/TEM.2002.803388
  12. [12] X. Zhao, J. Xie, & J. Leung, The impact of forecasting model selection on the value of information sharing in a supply chain, European Journal of Operational Research, 142(2), 2002, 321– 344. doi:10.1016/S0377-2217(01)00300-9
  13. [13] H.L. Lee, V. Padmanabhan, & S. Whang, Information distortion in a supply chain: The bullwhip effect, Management Science, 43(4), 1997, 546–558.
  14. [14] K. Xu, Y. Dong, & P.T. Evers, Towards better coordination of the supply chain, Transportation Research Part E: Logistics and Transportation Review, 37(1), 2001, 35–54. doi:10.1016/S1366-5545(00)00010-7
  15. [15] J.A.D. Machuca & R.P. Barajas, The impact of electronic data interchange on reducing bullwhip effect and supply chain inventory costs, Transportation Research Part E: Logistics and Transportation Review, 40(3), 2004, 209–228. doi:10.1016/j.tre.2003.08.001
  16. [16] P. Fiala, Information sharing in supply chains, Omega, In Press, Corrected Proof, Available online 15 September 2004.
  17. [17] M. Holweg & J. Bicheno, Supply chain simulation – a tool for education, enhancement and endeavour, International Journal of Production Economics, 78(2), 2002, 163–175. doi:10.1016/S0925-5273(00)00171-7
  18. [18] G. Li, S. Wang, H. Yan, & G. Yu, Information transformation in a supply chain: a simulation study, Computers and Operations Research, 32(3), 2005, 707–725. doi:10.1016/j.cor.2003.08.013
  19. [19] J. Banks & J. Carson II, Discrete-event system simulation (Englewood Cliffs, NJ: Prentice-Hall, 1984).
  20. [20] P. Periorellis & J. Dobson, Modelling dynamic networks advantages and limitations of the O-O approach, Proc. Technology of Object-Oriented Languages and Systems (TOOLS 31), Nanjing, China, 1999, 448–457. doi:10.1109/TOOLS.1999.796519
  21. [21] J. Swaminathan, S. Smith & N. Sadeh, Modeling supply chain dynamics: a multiagent approach, Decision Sciences, 29(3), 1998, 607–632. doi:10.1111/j.1540-5915.1998.tb01356.x

Important Links:

Go Back