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Best-in-class manufacturing requires complete real-time process performance monitoring and the analytical decision support for process management and improvement. The impact of such an approach is profound as indicated in two recent MESA studies (MESA 2012a, MESA 2012b).

In today’s competitive markets, the ante for successful manufacturing and supply-chain management keeps growing. The companies that survive and thrive do so by stepping up their ability to keep moving in front of corporate and customer requirements.

When a company decides to implement manufacturing intelligence (MI), the goal is a successful long lived project that delivers manufacturing decision support and an ongoing ROI. The question becomes how to identify a dependable, systematic way to guarantee a successful MI implementation.

Research shows companies spend $50B to $80B dollars on failed IT projects each year. One top reason in the studies is the project fails to achieve the expected business value.

Today's manufacturer faces an era where the problem is no longer one of not being able to collect enough data on manufacturing processes, but how to effectively use the massive volume of data collected.  It is generally accepted that process based manufacturing intelligence is the best path to effective manufacturing enterprise management.

Traditional Quality and Specification Analysis SPC

“Instead of requiring the operators to stop and manually check SPC charts every several minutes, we can now automatically alert them for SPC violations. The system has worked perfectly.” Frazer Nicholson, Rio Tinto Alcan