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.