How to Give Customers the Quality Data They Want (and SPC Metrics!)
by Benjamin Reese, on Mar 31, 2015 10:54:43 AM
Quality Data: Rapid Retrieval and Utilization for Decision Support in Manufacturing Processes
April 9th, 11 am EST CLICK HERE to Register
You already collect the data, now find out how easy it can be to use it.
Quality data. You collect it from CMM's, scanners, gages, scales, lasers...the list goes on and on. More and more devices come out every day that offer new, and innovative methods of getting accurate measurements of parts and assemblies.
Get that gap on every third part, get the flush here, check the hole and pin, make sure that slot is good. You need to check paint depth, weight, thickness, offset...there are as many things to measure for as there are devices to measure with.
Then you have to make that data work for you. You need to make decisions, and you need to deliver results to customers and managers.
Now, you tell me that you already do that. You have a tool for that. You're good.
I agree. There are a lot of different ways to collect quality data, and there are a lot of different ways to use quality data. What I worry about is how long it takes to use your quality data. Here, let me rephrase that.
From the time you collect your quality data, how long does it take to deliver the results?
If you are using Excel, it may take a while as you pull in line after line of data from all of the text files your inspection devices kicked out. If you have a program tied to an inspection device, does it work with all of the other outputs? Are you still cutting pieces and parcing them together for that report you need to deliver?
Using Your Quality Data for Instant Decision Making
You need that data to work for you. Manufacturers need to make tough decisions everyday, and if there is a problem, they need to know how to fix it. They need to take action immediately, before the line goes down.
Join DCS for a free webinar that shows how to standardize and use quality data from different sources to support effective decision making in manufacturing.