IBM Vermont Case Study: Data Driven Water Management

Presented by

Jeff Chapman, Advanced Water Management Burlington Center of Excellence for Enterprise Operations

About this talk

IBM Vermont is a large semiconductor manufacturing site which consumes 3.2 million gallons per day of water. The management goals are quality, reliability, cost control and environmental stewardship. The operation of the site’s many water systems use extensive amounts of data and automated data analysis to meet the aforementioned goals. IBM’s Advanced Data Management techniques have supported nearly a decade of sustained improvements in water management. Statistical Process Control (SPC) applications have been built which extract data to provide convenient process control of hundreds of key process indicators. These data management techniques employed by IBM allow for a continuous stream of improvement projects.

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