Posts Tagged ‘downtime analysis’

Building from Machine Truth

Machine TruthTM is very simply the automated gathering of data directly from the factory floor machine in a manner that accurately describes what that machine is doing at that time. Types of Machine TruthTM data include the run speed, production count, scrap count, etc. Machine TruthTM can be gathered from sensors or directly from the PLC. The important thing is that it is automatically gathered, it is accurate and unbiased, and it is the absolute truth of what the machine is doing at all times.

Why is this important? Often times we hear from Plant Managers that they know what is going on at the factory floor because they gather data manually and record it in their ERP system or their Excel Spreadsheet for processing. They feel this gives them the visibility they need. Unfortunately they are wrong. Our experience has been that manually collected data is invariably inaccurate and this inaccuracy is costing the plants real money.

Here is a straight forward example. This diagram shows what was collected by the operator – the blue area is the set up time, the green the time running time and the red the downtime. Now the production manager realized they were not producing what they should have been. His conclusion was that they were not running fast enough. So he asked his team to run the machines faster.

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In this next diagram, the automatically collected data, for the exact same time period, is shown. The difference is immediate. The setup time was longer; there same two major areas of downtime are visible but more importantly there were a number of smaller slivers of downtime that were not recorded. There problem was not run speed, it was downtime. This customer was spending real CI dollars on trying to improve in the wrong area. They were spending money on improving run speed http://www.shoplogix.com/wp-admin/post.php?post=768&action=edit when they should have been focused on downtime. They were chasing CI ghosts.

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Why was the incorrect data manually recorded? Was it the operator deliberately attempting to protect himself? Possibly, but this hasn’t been our experience. Another plant was in a similar situation. They were packaging gum and they believed they could produce more but were unsure as to why they could not. In a similar manner to the above, they collect data automatically and found they had more downtime than expected – their shift was littered with slivers of downtime. When the operator was approached as to why he did not record these slivers of downtime, he responded it was because the machine jams and it had always jammed and he never recorded it because he thought that was just how the machine operated. When they investigated as to why it was jamming, they determined it was because the gum was too big. The plant manager moved up the line to ask why they were making the gum too big. The operator responded that they were making the gum to the specification provided. When asked if they could make the specification tighter, the simple answer was, yes of course. The result: the slivers of downtime disappeared and production increased. Machine Truth TM provides the visibility necessary to make the right decision.

Having Machine Truth TM enables key personnel to ask the right questions and to stop spending CI dollars in wrong area.


Sustaining Continuous Improvement – Measuring Performance

Continuous Improvement Series – Part 3 of 5

Once a foundation of data has been created, organizations will be able to leverage visibility into production to create an understanding of performance. A key element to measuring and understanding manufacturing performance is separating analysis from actionable activities. Both are important, but each is designed to do something different for today’s manufacturer.

Analytical Measures of Performance: Using OEE

A good example of analytical evaluation of performance is Overall Equipment Effectiveness (OEE). OEE is a mathematical formula that can be used to assess the performance of any machine independent of its age or characteristics. Production, Availability and Quality are combined to create a ranking of machine performance. With OEE organizations can adopt an analytical framework that allows them to measure each machine’s performance.

OEE CalculatorOEE on it’s own is a great machine level analytical metric. More advanced organizations look to leverage OEE to assess how shifts or the plant performs overall. Some organizations also look to assess individual units of work, like jobs, using OEE to understand how efficient their quoting or engineering activities are.

Downtime analysis, understanding what happened when a machine was idle is also a critical analytical tool. What was the root cause of a stoppage, is that cause repeating? Is this a characteristic of a particular shift or is it something that is occurring across similar machines?

Organizations need flexible tools that allow them to aggregate data and identify trends that indicate problems. This analytical view of the plant floor is invaluable in identifying how to move forward on a Continuous Improvement (CI) program.

Using Alerts to Solve Problems as They Occur

Analytics alone are not enough though. As companies create CI programs they establish shop floor behaviors that can become active cues to focus attention while work is being performed. Creating Alerts when a particular machine or process is out of synch is an ideal way to start to actively manage the shop floor.

Alerts can be used to broadcast problem conditions across easily deployed technology. Blackberry or other paging devices and email form very standard tools that can be used to draw attention in the office or the maintenance team to a problem that needs attention. By creating Alerts in real time companies can start to react to problems while they can still be resolved.

There are two ways to manage performance in any facility once a foundation of accurate data exists. Historical analysis can be used to understand trends and impact of particular problems across machines and shifts. Alerts can be used to bring attention to bear on problems as they occur.


 

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Shoplogix Inc. 2626 Argentia Rd. Mississauga, Ontario Canada L5N 5N2 Tel: 905.469.9994 T/F: 877.469.9994 Fax: 905.469.9970 info@shoplogix.com

About Us

Shoplogix is the leading developer of manufacturing performance management solutions designed to enable manufacturers to reduce operating costs, increase manufacturing profitability and drive rapid time to value.

Our patented Plantnode® solution is the market’s only
integrated technology solution, combining the power of
software analytics with the strength and stability of
embedded technology.

Seeing our customers uncover their hidden potential to
realize dramatic performance improvements inspires us to continue to innovate in order to help them to further escalatetheir success.

Shoplogix was founded in 2002, and is headquartered in
Mississauga, Ontario Canada.