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SKF Reliability Systems - Library

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An API In Benchmarking Assets<br />

This example shows how craft productivity is not expected to reach the target of 50% tool time until daily<br />

schedule compliance of 80% or better is being achieved and planned work is making up over 90% of work<br />

delivered. Work order labour reporting discipline of 100% is a fundamental requirement expected very early<br />

in the improvement project in order to manage any improvement program. The time sequencing or schedule<br />

for each metrics improvement is shown for this example together with information on how often the data for<br />

each metric is collected, where the data comes from and the calculation method used to calculate each metric.<br />

A similar approach is used for the entire suite of metrics being used for managing the Asset Performance<br />

Improvement program.<br />

A clear understanding of the leading/lagging relationships and logical linkages between each metric is key<br />

to the development of a credible improvement plan with targets. Without this frustration at the slow rate of<br />

improvement of a lag metric such as cost may undermine the success of a change initiative when the leading<br />

indicators may well be demonstrating encouraging progress in changing a work processes performance.<br />

CASE STUDY<br />

The API approach presented was applied recently to a large industrial facility. The facility has participated for<br />

many years in a well-known international benchmarking study where facilities all over the world provide data<br />

to the benchmarking organisation and receive a report containing results metrics that benchmark the facilities<br />

performance in a number of key areas including cost, process efficiency and equipment reliability. The facility<br />

benchmarked in the fourth quartile of its relevant peer facilities and undertook to introduce a process of change<br />

to improve its competitive position significantly. The results metric targeted as the top priority for improvement<br />

was maintenance cost per unit output.<br />

The use of the API suite of metrics facilitated the diagnostic insight to identify a range of issues with work processes<br />

that were far from best practise in many areas. The results metrics from the international benchmarking study<br />

did not provide the diagnostic information for use in a change program. They merely highlighted the results gap<br />

between the facility and their cohort. The API results presented in Figure 1 show that overall the facility was a<br />

third quartile performer in asset productivity with a score of 38%.<br />

The results highlight three key areas of work process performance that require significant improvement<br />

• Work process control (planning & scheduling of maintenance) – fourth quartile performer<br />

• MRO materials management – fourth quartile performer<br />

• Contractor management – fourth quartile performer<br />

These results provided the management of the facility with the tactical information on where to first target the<br />

change initiative. The quantification enabled management to understand the magnitude of the deviation from<br />

best practice maintenance and the size of the opportunity to improve.<br />

A benefits case for improvement developed based on the opportunities available to close the gaps to best<br />

practice is presented below.<br />

The savings available<br />

confirmed that the facility<br />

had the potential for<br />

improving its maintenance<br />

performance from fourth<br />

quartile to top quartile of its<br />

peer group.<br />

In this case study it was<br />

recommended that for<br />

pursuing step-change<br />

improvements in plant<br />

maintenance practices the<br />

most effective approach is<br />

to establish focus teams<br />

that will initially be focused<br />

the following areas<br />

52 Vol 23 No 3 AMMJ<br />

As-Is To-Be Baseline Target Saving<br />

Labour Productivity Improvement<br />

Owner Maintenance 20% 40% $ 6,952,667 $ 3,476,334 $ 3,476,334<br />

Contractor Maintenance 20% 40% $ 16,000,000 $ 8,000,000 $ 8,000,000<br />

Contractor Overtime<br />

<strong>Reliability</strong> Improvement<br />

15% 5% $ 1,400,000 $ 460,000.00 $ 940,000<br />

$ 12,416,334<br />

Material $ reduction 100% 95% $ 6,459,083 $ 6,136,129 $ 322,954<br />

Labour $ reduction<br />

MRO Processes<br />

100% 80% $ 1,500,000 $ 1,200,000 $ 300,000<br />

$ 622,954<br />

Material waste reduction 100% 95% $ 6,459,083 $ 6,136,129 $ 322,954<br />

Material Purchased cost reduction 100% 95% $ 8,000,000 $ 7,600,000 $ 400,000<br />

Planned contractors reduction (reduced margin) 14% 10% $ 2,160,000 $ 1,600,000 $ 560,000<br />

MRO inventory reduction<br />

Contract Management Improvement<br />

100% 88% $ 12,500,000 $ 11,000,000 $ 1,500,000<br />

$ 2,782,954<br />

Contractor Materials & Other Services 100% 95% $ 16,197,111 $ 15,387,255 $ 809,856<br />

Subcontracts Direct to Owner $ 25,000<br />

Civil Contract Cost & Scope reduction 100% 92% $ 2,400,000 $ 2,200,000 $ 200,000<br />

Crane Hire Rationalisation $ 10,000<br />

Scaffold Hire Ratiopnalisation 100% 89% $ 1,300,000 $ 1,150,000 $ 150,000<br />

$ 1,194,856<br />

TOTAL SAVINGS $<br />

17,017,098<br />

• Work process control (labour productivity) • Equipment reliability (failure elimination)<br />

• Contractor management • MRO • Shutdown management<br />

Each focus team must validate the benefits case and the implementation costs. They must develop a team<br />

Charter for management approval stating how the focus team will go about achieving the changes required.<br />

Finally, the team will deliver the activities outlined in the Charter with a full time commitment commonly required.<br />

The goal being a sustainable change in the work processes used that will become embedded and sustainable<br />

into the future.

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