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Mining for Answers
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Mining for Answers

FMEDDS and predictive analytics transform process data into foresight

Publication:
Quality Progress
Date:
March 2026
Issue:
Volume 59 Issue 3
Pages:
pp. 34-41
Author(s):
Ramsay, Owen A.
Organization(s):
ISI QES Management Systems Inc., Acworth, GA

Abstract

FMEDDS (the Five Ms—manpower, machine, materials, methods and measurement—and environment, design, data analytics and safety) is a turtle diagram-based framework that links process elements to quality, environmental and worker-safety outcomes. In this article, artificial intelligence refers to practical predictive analytics and forecasting techniques that anticipate deviations, generate early warning signals and inform recommended setpoints—not autonomous or self-directing decision making. FMEDDS functions as a closed-loop learning system: Data are continuously analyzed, insights trigger preventive action, and design and control updates are institutionalized through management systems such as ISO 9001, ISO 14001 and ISO 45001.

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