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October - Library - Central Queensland University

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26<br />

Performance Rate Percentage<br />

P e rf o rmance Rate is an expression of the actual production rate as a percentage of the plant’s design capacity (speed). The actual<br />

production rate is expressed as an average and is calculated by dividing the actual production by the operating time. Both design<br />

capacity and actual production rate are expressed in units produced (U) per unit time (t).<br />

The metric is calculated as follows:<br />

Average Actual Production Rate (U/t)<br />

Performance Rate % = ---------------------------------------------- X 100%<br />

Design Capacity (U/t)<br />

Where:<br />

Actual Production (U)<br />

Average Actual Production Rate = ----------------------------<br />

Operating Time (t )<br />

Quality Rate Percentage<br />

The Quality Rate percentage expresses the amount of acceptable product as a percentage of total products produced. Some<br />

industries refer to this at the "first pass yield" or "first right intent", and it refers to the amount of product that can be shipped without<br />

further processing.<br />

The metric is calculated as follows:<br />

Total Units Produced - (Units Downgraded + Units Scraped + Units Reprocessed)<br />

Quality Rate % = ------------------------------------------------------------------------------------------------ X 100%<br />

Total Production Units<br />

Overall Equipment Effectiveness<br />

The Overall Equipment Effectiveness (OEE) is the product of Availability percentage, Utilization percentage, Perf o rmance Rate<br />

p e rcentage, and the Quality Rate percentage. The resulting value is the percentage rate at which the plant’s potential is being<br />

utilized. It is a comprehensive indicator of the plant’s condition that takes into account operating time, operating utilization, operating<br />

speed, and product quality. In effect, OEE measures the effectiveness with which the plant is being used to add value to the company.<br />

The metric is calculated as follows:<br />

OEE = Availability % X Utilization % X Performance Rate % X Quality Rate %<br />

Metrics Score Card<br />

Every maintenance organization is in one of four stages of development (see Table 1). The stage of the maintenance organization<br />

is determined by were it ranks in the maintenance metrics as summarized in Table 1. Circle the answers that best match the<br />

company’s status on the metric listed.<br />

These are just a few of the yardsticks Day & Zimmermann has found useful in appraising the maintenance operation. Each<br />

Maintenance Manger could come up with many more metrics that are appropriate to the local situation. The most import a n t<br />

requirement is that the basic information is accurate and reliable.<br />

Cost reporting through the use of a well functioning computerized maintenance management system supplies the information that<br />

is re q u i red to make these comparisons. Maintenance must make every eff o rt to charge costs as accurately and finitely as possible.<br />

If Maintenance is to be a dynamic force in the plant organization it must be able to show improvement. Improvement is accomplished<br />

t h rough control and control is exercised as the result of measurement. If you can measure maintenance you can impro v e<br />

maintenance. Strive to improve maintenance using the managerial technique of performance metrics.<br />

References:<br />

Peter C Chalich, “Stage Metric Data Gathering Guidelines”, Day & Zimmermann International Inc., September 2002.<br />

Raymond P. McFarland, “Managing Maintenance With Planning and Scheduling”, Management Handbook for Plant Engineers,<br />

Bernard T. Lewis, Editor, McGraw-Hill Book Company 1977.<br />

Raymond P. McFarland, “Maintenance Cost Analysis for Performance Improvement”, AIPE Plant Engineering and Western<br />

Maintenance Conference, San Francisco, November 1970.<br />

Raymond P. McFarland, “Cost Accounting and Budgeting for Maintenance”, National Plant Engineering and Maintenance<br />

Conference, Chicago, IL, April 1970.<br />

Raymond P. McFarland, “Maintenance Cost Analysis for Cost Reduction”, National Plant Engineering and Maintenance<br />

Conference, Cleveland, OH, March 1971.<br />

The Author:<br />

Ray Mcfarland is a Principal Adviser with the global mining giant Rio Tinto. The concepts presented in this paper were developed<br />

while working for Day and Zimmermann International, Inc.

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