Sense-and-respond supply chain using model-driven techniques

  • Authors:
  • S. Kapoor;B. Binney;S. Buckley;H. Chang;T. Chao;M. Ettl;E. N. Luddy;R. K. Ravi;J. Yang

  • Affiliations:
  • IBM research Division, Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Integrated Supply Chain, Hopewell Junction, NY;IBM research Division, Thomas J. Watson Research Center, Yorktown Heights, NY;IBM research Division, Thomas J. Watson Research Center, Yorktown Heights, NY;IBM research Division, Thomas J. Watson Research Center, Yorktown Heights, NY;IBM research Division, Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Enterprise Business Information CoE, Kissimmee, FL;IBM India Software Labs, Bangalore, India;IBM research Division, Thomas J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • IBM Systems Journal
  • Year:
  • 2007

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Abstract

The results of an effort to build a sense-and-respond solution for a supply chain by Using a model-driven development framework are described in this paper. One of the components of the framework is the IBM Research-developed model-driven business-transformation (MDBT) toolkit, a set of formal models, methods, and tools. The inventory optimization analytics used to improve supply chain performance are also described. This approach is illustrated through a case study involving the IBM System x™ supply chain.