What is the requirement of tier 2 suppliers? Must we require the supplier to be ISO/QS9000, if so and they're not when do they need to have it implemented?
Is there any way to do a capability study or histogram measuring the same item but with a multitude of possible different dimensions ? Example I want to chart wire length but we cut many different wire lengths in the course of a day. Is there any way to do this with just one historgram or cap study or must I use a different one for each wire length ?
I would also suggest using a difference from nominals chart. To determine if your process is significantly the same by length, tag the data by nominal length and analyze using ANOVA. You may be led to group all together or form small sub-groups. This will ensure you are using the correct method.
If you are using the same process for each length, you can construct a control chart by reporting the deviation from nominal. In this way, the differences in the target for each setup will not show on the x-bar chart as a mean shift, your x-double bar target will be zero, and the sample averages will be distributed plus and minus about zero. Control limits can be calculated in the usual way for x-bar/R charting.
I am not sure what "Cc" is that you are referring to. I'll make a guess - Many companies rank print characteristics according to importance or by severity in the event they are not in specification during the FMEA process. Sometimes there are different capability requirements depending on the importance. Some of the terms used are: "CC" critical characteristic, "SC" significant characteristic, "HIC" high impact characteristic, "KPC" key process characteristic, and so on. Each represents a different level of importance, for example a "CC" may be a safety or regulatory requirement due to the fact that this feature if not held to print could cause the customer to be hurt or killed. Obviously these type of features must comply to rigorous quality assurance standards.
trek5810 9/30/2004
Is there any way to do a capability study or histogram measuring the same item but with a multitude of possible different dimensions ? Example I want to chart wire length but we cut many different wire lengths in the course of a day. Is there any way to do this with just one historgram or cap study or must I use a different one for each wire length ?
Thank you for any help you can give me.
proceng 4/5/2005
I would also suggest using a difference from nominals chart. To determine if your process is significantly the same by length, tag the data by nominal length and analyze using ANOVA. You may be led to group all together or form small sub-groups. This will ensure you are using the correct method.
mkomarmy 3/31/2005
If you are using the same process for each length, you can construct a control chart by reporting the deviation from nominal. In this way, the differences in the target for each setup will not show on the x-bar chart as a mean shift, your x-double bar target will be zero, and the sample averages will be distributed plus and minus about zero. Control limits can be calculated in the usual way for x-bar/R charting.
mkomarmy 4/27/2004
I am not sure what "Cc" is that you are referring to. I'll make a guess - Many companies rank print characteristics according to importance or by severity in the event they are not in specification during the FMEA process. Sometimes there are different capability requirements depending on the importance. Some of the terms used are: "CC" critical characteristic, "SC" significant characteristic, "HIC" high impact characteristic, "KPC" key process characteristic, and so on. Each represents a different level of importance, for example a "CC" may be a safety or regulatory requirement due to the fact that this feature if not held to print could cause the customer to be hurt or killed. Obviously these type of features must comply to rigorous quality assurance standards.