Logical And Cost Effective Calibration Intervals

Tyler Roach
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Abstract

Periodic calibration does not prevent out-of-tolerances from occurring, but with a well-managed recall program, the risk can be minimized. Managing calibration recall intervals can be a perplexing task and sometimes seem somewhat arbitrary. Do I use the manufacturer's recommended interval? Do I use the ever so popular, yet arbitrary 12-month interval? Or, do I just use the interval that was used last time my unit was calibrated? Selecting an interval that is too long could save on excessive calibration costs, however it could also introduce the additional unwanted risk of using an out of tolerance item. An interval that is too short would eliminate that risk, but calibration costs will rise. The goal is to have the perfect Goldilocks situation to find an interval that is just right. One that will reduce calibration costs, yet still give you confidence that it will still be in-tolerance at the next calibration event. A simple examination of past calibration history, combined with a few strategic confidence checks will make managing recall intervals logical and cost effective.
符合逻辑和成本效益的校准间隔
定期校准并不能防止超出公差的发生,但通过管理良好的召回程序,可以将风险降至最低。管理校准召回间隔可能是一项令人困惑的任务,有时似乎有些武断。我是否使用制造商推荐的间隔?我是否应该使用非常流行但却很随意的12个月间隔?或者,我只是使用上次校准单位时使用的间隔?选择太长的间隔可以节省过多的校准成本,但是它也可能引入使用超出公差项的额外不必要的风险。间隔时间过短可以消除这种风险,但校准成本会上升。我们的目标是找到一个完美的“金发姑娘”状态,找到一个恰到好处的间隔。这将降低校准成本,但仍然给你信心,在下一次校准事件中它仍然是不允许的。对过去校准历史的简单检查,结合一些战略置信度检查,将使管理召回间隔合乎逻辑且具有成本效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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