Tro DTS is the tool which analyzes the defect automatically and creates the defect record of your Processes. DTS offers you the several quality tools to analyze the defects. These quality tools are helpful in exploring and detecting proactively the quality problem (s) and improve the process. TroSys DTS has the proficiency in almost most of the statistical Quality Control Tools. We are starting our journey with few of the mentioned tools based on the customer survey results. They are Bar Chart, Six sigma calculator, Cause and effect diagram and several other quality tools.

Six-σ  Calculator

Six-σ focuses on reducing process variation and enhancing process control. By using Six-σ calculator you can calculate the Defects per million Opportunities. Graphical representation shows the spread of the process variation and σ-level of the process. This tool will be helpful in identifying the DPMO for a process that will help the user to focus on the problem solving approach based on the result obtained from the calculator and works through the process towards its improvisation.

Most manufacturing process result in products whose measurements of the geometrical features and sizes are distributed normally. That is, most of the measure are clustered around the average dimensions-bar. X-bar will be equal to nominal-dimensions only if process is accurate, i.e. perfectly centered. In normal distributions, 99.73% of the measurements will fall within plus or minus 3 standard deviations ( ±3σ. ); 99.46% will be within  ±2σ., and 68.26% within  ±σ.,

Where

σ = ((∑ (Xi-X-bar) 2)/n) ½ , Where σ is the standard deviation from the average /mean. 

And
                X-bar = (∑Xi)/n            

                      
Understanding the Sigma Levels   

Suppose the tolerance limits on a dimension are 5.000±012, that is, 4.988 to 5.012. Data collected from the process during second shift indicates the process mean is 5.000 and its standard deviation σ =0.004. Note that ±3σ fits inside the tolerance because ±3σ= ±3*0.004= ±0.012. A capability calculation would show CP = CP K = 1

The traditional way to calculate yield in this situation is to use a standard normal table to determine the area under the normal curve between ±3σ. This gives a yield of about 0.9973. Experience indicates, however, that the process mean doesn’t remain constant. There is general agreement on the somewhat arbitrary rule that the process mean may shift 1.5σ to the right or 1.5σ to the left. If we assume a 1.5 σ shift to the right, the yield is the area under the normal curve to the right of -1.5σ or about 0.9332. Suppose, now, that process variation is reduced so that σ=0.002. There is now ±6σ between the tolerance limits, and the process can be called a 6σ process. To calculate the Yield for a six Sigma process, we allow the mean to shift ±1.5σ. Suppose the mean shifts 1.5σ to the right so the yield is the area under a normal curve to the right of -4.5σ. This turns out to be 0.9999966. The defect level is 1-0.9999966, which is 0.0000034 or 3.4 PPM. At best this is a rather theoretical number, because the mean may not shift exactly 1.5σ on each side and no process is truly normal to the sixth decimal place.

Bar Chart is used to compare some measure of data categories. It emphasizes & clarifies patterns that are not readily recognizable in tables. Each Bar represents a frequency of a category or a function of a category. Bar -Charts make it easy for users to see comparisons, Patterns, and trends in data.