I am trying to analyse our suppliers’ OTD, by no. days late. However of the 500-odd lines, the spread is 75% 0-6 days and the remainder a tail out to 500 days.
This makes for a crap histogram, control chart, time series plot, etc.
I’m looking for advice on a good way to analyse this, given every part that arrives late, by any amount, is significant.
James Barrett replied to the topic Analyzing Continuous Data with a Maximum Possible Value in the forum Tools & Templates 11 months ago
Thanks both, really helpful.
I’m not completely married to using Control Charts, it was just an example of where the maths gives above 100%.
I’m just looking for good methods of analysing on time delivery, to be honest.
James Barrett started the topic Analyzing Continuous Data with a Maximum Possible Value in the forum Manufacturing 11 months, 1 week ago
I’m looking to analyse on time delivery data. It’s continuous and Normal, but obviously it has a maximum of 100% – does this affect how to analyse? For instance, the bell curve goes beyond 100%, and I-MR charts have an UCL of 117%.