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1 Measuring and Forecasting Production Metrics Using The Barringer Process Reliability Methodology Presented To: SMRP Reliability Analytics SIG SMRP 2012.

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Presentation on theme: "1 Measuring and Forecasting Production Metrics Using The Barringer Process Reliability Methodology Presented To: SMRP Reliability Analytics SIG SMRP 2012."— Presentation transcript:

1 1 Measuring and Forecasting Production Metrics Using The Barringer Process Reliability Methodology Presented To: SMRP Reliability Analytics SIG SMRP 2012 Annual Conference Orlando, Florida Presented by: Michael Eisenbise

2 Annual Production Data – Plotted in “Rain Cloud Chart Daily Output Widgets/Day Day of Year

3 Annual Production Data – Plotted in “Rain Cloud Chart Daily Output Widgets/Day Day of Year All production rates below a “target” production rate identified by most record keeping systems -Normally equipment failures or TAR related

4 Annual Production Data-Plotted in BPR Plot

5 Annual Production Data – Plotted in “Rain Cloud Chart Day of Year “Bandwidth” of lower and upper daily production rate when unit was “under control” Daily Output Widgets/Day

6 Bandwidth Shown on BPR Bandwidth of our competitors, for this process, is 250

7 Annual Production Data – Plotted in “Rain Cloud Chart” Day of Year What is daily average production that can be counted on in the future? Daily Output Widgets/Day

8 Daily Average Production Rate Shown on BPR Daily production rate shown where production line crosses “Eta” or dotted line

9 Annual Production Data – Plotted in “Rain Cloud Chart” Day of Year What percentage of time was unit operated within this bandwidth? Daily Output Widgets/Day

10 Bandwidth Shown on BPR Point at which raw data is not located on production line is percent of time unit operated within bandwidth – Shown as reliability %. Our competitors at 80% on this process

11 What are our competitors doing, or what is nameplate? Us Our Competitors

12 What are our losses due to “crash and burn issues”? Losses are area under “raw data” and “production line”. In this case 1,839 Widgets/Year

13 Losses due to the way we operate and manage this unit? Losses are area under “production line” and “nameplate line”. In this case 720 Widgets/Year

14 Data points are mechanical failures or TAR related. In this examples losses are 41 units/year or amount normally captured in a your failure database. Most losses do not fall in this area of curve. Very few total losses are due to mechanical failures

15 Production Analysis

16 © Barringer & Associates, Inc., 2000-2001 Slide 1-63

17 © Barringer & Associates, Inc., 2000-2001 Slide 1-64

18 18 Any Questions


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