A Guide to Productivity Measurement - Spring
A Guide to Productivity Measurement - Spring
A Guide to Productivity Measurement - Spring
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Reliability of data<br />
Data should be reliable and consistent. The indica<strong>to</strong>rs should provide an accurate reflection<br />
of what they are supposed <strong>to</strong> measure.<br />
Practicality<br />
Indica<strong>to</strong>rs should be easily unders<strong>to</strong>od by employees and practical <strong>to</strong> obtain.<br />
There are 10 key management indica<strong>to</strong>rs commonly used <strong>to</strong> gauge an organisation’s<br />
overall productivity performance. They measure the performance of key productivity levers<br />
as shown in Figure 5.5.<br />
Figure 5.5 : Key Management Indica<strong>to</strong>rs<br />
Details of the 10 indica<strong>to</strong>rs and other common productivity indica<strong>to</strong>rs used by the<br />
manufacturing and service sec<strong>to</strong>rs are given in the Annex. The productivity indica<strong>to</strong>rs<br />
listed are not restricted <strong>to</strong> the usual output per unit of input ratios. They include other<br />
performance indica<strong>to</strong>rs that measure the efficiency and effectiveness of the operations.<br />
Step 4: Design and Implement<br />
5 An Integrated Approach To <strong>Productivity</strong> <strong>Measurement</strong><br />
After selecting the appropriate indica<strong>to</strong>rs, the productivity measurement task force should:<br />
• Establish accountabilities and responsibilities for the provision and use of data<br />
• Link the indica<strong>to</strong>rs and determine how the performance of various departments affects<br />
the organisation’s overall performance<br />
• Decide how the indica<strong>to</strong>rs may be used in productivity improvement plans.<br />
A <strong>Guide</strong> <strong>to</strong> <strong>Productivity</strong> <strong>Measurement</strong><br />
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