So I’m collecting data on a production line that I’ve been graphing as a simple time series, but I don’t think a time series is an accurate representation of the data, nor does it make it easy to derive the information I intended the data for. I’m looking for some advice on visualizing the data.
I have a production line that consists of say 5 operations. I’m timing individual elements of that operation. Operator Load Time, Weld time, Part Transfer Time, Total Time, etc… for every operation every single cycle.
I’m currently graphing this in two ways.
First as as a time series for each step, x axis is time data was logged, and y axis is the step time. I don’t feel this is entirely accurate though because because the time between cycles logged is irrelevant. It does allow me to quickly see if I was welding for 30 seconds yesterday, but today it’s taking 37 seconds.
Second, I do a stacked bar graph for each operator. X-axis is operation, Y-axis is the stacked step times. This allows me to quickly see bottlenecks in the line.
Does anyone have any better ideas on how to represent this data? Key areas I want production leaders and managers to be able to figure out is: Is the line running slower today than usual and why?