13th Annual International Conference on Industrial Engineering and Operations Management

Implementing the Overall Equipment Effectiveness Metric in an Industrial Manufacturing Environment

Alexandr Sokolov, Niamat Ullah Ibne Hossain, Aaron Storms & Brian Merrill
Publisher: IEOM Society International
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Track: Manufacturing
Abstract

Manufacturing shops that utilize Computer Numerical Control (CNC) machines often need a way to measure the performance of the manufacturing process. Overall Equipment Effectiveness (OEE) is the standard measurement used and this paper will explore the steps required to implement the OEE metric as well as ways to improve the performance of a machine shop utilizing the metric. It will explain the metric itself, the various formulae that comprise it, and some the technologies available to implement it. Example data will be used to present a before and after scenario that shows the usefulness of the OEE metric and how it considers quality, performance, and availability of a single machine, or an entire machine shop. Expected results of this study are a quantitative review that show how a machine shop can increase its performance by focusing on specific aspects that make up the OEE number. As OEE gets closer to 100%, the machine shop should be shown to create more good quality parts faster than it had at a previously lower number. Automation of the calculations will also be discussed, as well as the logic that determines what state a machine is in during the manufacturing process.

Keywords
Overall Equipment Effectiveness, OEE, Utilization, Quality, Machine State, CNC.

Published in: 13th Annual International Conference on Industrial Engineering and Operations Management, Manila, Philipines

Publisher: IEOM Society International
Date of Conference: March 7-9, 2023

ISBN: 979-8-3507-0543-0
ISSN/E-ISSN: 2169-8767