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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 />

17

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