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Taking the time to carefully plan the implementation of an EMI real time monitoring system can save weeks of frustration, while creating a tool that quickly achieves results. The goals should be clearly identified in advance, and the planning should carefully incorporate the following steps to ensure goals are met. This document is designed to provide the best practices that other companies have discovered as they developed successful implementations.

EMI has become one of the top requirements for high-performance manufacturing. ARC Advisory Group detailed the top 10 Best Practices for EMI success in their Strategic Report, “Enterprise Manufacturing Intelligence: Integrating and Extracting Value from “Big Data”. NWA Focus EMI® meets or exceeds them all.

NWA Focus EMI® addresses all of the top challenges related to enterprise manufacturing intelligence identified by Gartner/AMR to deliver complete answers for immediate results and long-term solutions.

In today’s global markets, the pressure to perform is non-stop and the need for information is real-time. To maximize competiveness and profitability, the supply chain needs top-notch data management. But, that by itself is not enough. The data must be aggregated and analyzed to deliver complete manufacturing intelligence (MI) that, in turn, enables sound decision making for effective supply chain management.

The Model for Successful Supply Chain Management

We often hear control limits and specification limits discussed as if they are interchangeable. But control limits and specification limits are completely different values and concepts. What is the relationship between control limits and specification limits? Usually there is no relationship whatsoever.

Control limits are calculated from process data for a particular control chart. An X-bar chart and an Individual measurements chart will have different limits.

Revised: April 1998
formerly "Statistical Quality Control and Printed Circuit Board Manufacturing"

Mounting pressure for product consistency and quality and a mandate to reduce costs spurred container manufacturer Crown Cork and Seal Co. Inc. (Philadelphia, PA) to institute quality measures that could be applied across the board throughout its manufacturing sites around the world. To fully appreciate the size and importance of this task, consider the company's business climate.

In the quest for ever-improving quality and performance, the industrial world has employed statistical quality control techniques with great success. Laboratories also have adopted some SQC techniques, mostly in response to external reporting requirements.

But so far, most laboratories are not using SPC for its most powerful benefit: using statistical techniques for continuous process improvement in order to improve analytical confidence and capability.