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New Tool / Technique

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This topic contains 5 replies, has 3 voices, and was last updated by  OnConference 5 years, 3 months ago.

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  • #54475

    S Lakshmi Narayana Kumar
    Member

    Any new tool / technique available for calculation productivity, utilization etc. for service industry like BPO, ITES etc., please suggest

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    #195536

    Anonymous

    Many years ago when I worked for an ink-jet printing company, I developed an ‘availability performance’ chart using an np-chart. In our example, we had a single-flow line with a takt of ten minutes and our goal (not target) was to deliver thirty print head sub-assemblies per day.

    Let me give some examples of Losses (Quality minimizes the loss to society)

    Let’s say during one day we lost three print head sub do to an on-site meeting, another one because we ran out of nozzles, and one more due to alignment problems. We would then plot the number of 25 and make a note of all the reasons at the bottom of the chart. (We didn’t have Minitab in those days :-)

    While the operations manager hated this chart, our supply manager loved it because he was able to demonstrate statistically the biggest loss wasn’t poor availability of parts, but unscheduled meetings! He was also able to calculate the process performance based on our non-contractual goal. Moreover, our 100% one-by-one confirmation system assured the quality of our print head sub build. (I’ve ignored our so-called modulation problems since this was outside our control and due to poor matching of y responses.)

    In summary, I can recommend using ‘availability performance’ to monitor losses against goals and to calculate statistical process capability performance.

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    #195537

    Chris Seider
    Participant

    @Andy-U Always love your stories. An np chart would seem to be overkill for OEE losses but heck, if it worked great!

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    #195538

    Anonymous

    @cseider The original reason for starting the chart was to find out why the print head manufacturing area had such difficulty achieving the output goal. The fact that our data supported the supply manager’s contention he had an excellent resupply process was completely unexpected. One of our biggest losses was due to the practice of clearing the line after the evening shift, which meant some stages has to wait while a sub-assebly takted along to their station :-)

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    #195553

    S Lakshmi Narayana Kumar
    Member

    Thank you Andy U

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    #196950

    OnConference
    Participant

    Great Information! Thanks

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