2007
DOI: 10.1147/sj.464.0685
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Sense-and-respond supply chain using model-driven techniques

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 xe supply chain.

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Cited by 6 publications
(3 citation statements)
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“…The ability to change and adapt is essential for survival. There is a strong belief that use of IT by channel partners will certainly make supply chains to "sense and respond" faster to changes (Kapoor et al, 2007). This adoption can create more opportunities, but evidence suggests that channel partners in cement industry do not utilize much of these technologies as stated above.…”
Section: Resultsmentioning
confidence: 99%
“…The ability to change and adapt is essential for survival. There is a strong belief that use of IT by channel partners will certainly make supply chains to "sense and respond" faster to changes (Kapoor et al, 2007). This adoption can create more opportunities, but evidence suggests that channel partners in cement industry do not utilize much of these technologies as stated above.…”
Section: Resultsmentioning
confidence: 99%
“…This line of research was continued by Chowdhary et al [6], where they applied model-driven techniques to IBM Business Performance Management (BPM) solution and illustrated their framework in a scenario of a pilot project. Also, Kapoor et al [19] proposed a model-driven development framework for a sense-and-respond supply chain.…”
Section: Related Workmentioning
confidence: 99%
“…This data will be available to, and accessible by, numerous individuals in many locations, often on mobile devices. Some people believe this will help make supply chains more "demand driven," allowing them to "sense and respond" more quickly to changes in demand and supply (see Kapoor et al 2007).…”
Section: It In Supply Chains In the Futurementioning
confidence: 99%