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Web-Based Manufacturing Performance Management with Multi-Objective, Multi-model Optimization Using Meta-Modeling
State: Georgia

Invistics’s supply chain software represents an innovation in manufacturing software that: 1) extends existing Enterprise Resource Planning (ERP), Supply Chain Management (SCM), and Manufacturing Execution Systems (MES) software by incorporating 'Lean Manufacturing' principles into a set of innovative simulation-based optimization algorithms; 2) provides millions of dollars in inventory savings to existing and targeted manufacturing customers; and, 3) because it can be delivered via the Internet,  is more accessible to virtual enterprises and smaller manufacturing companies than traditional supply chain software systems. The research focuses on the development of a meta-model-based simulation software for the analysis, prediction and optimization of manufacturing and supply chain processes. It applies the Kriging spatial optimization model-a proven interpolation-based response technique previously employed successfully in geostatistics, to now solve complex and computationally intense manufacturing and supply chain problems.


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Funded by NSF #0737174.
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NSF funding for this project ended in 2008. At this time the site has been archived.