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Gap Analysis is a technique used to identify gaps between a current state and a targeted one.
To create a gap analysis:
Example: Calculate the yearly savings potential based on a target value for the variable Profit €/h.
The target value chosen is 3500 USD/h (close to the average value 3461 USD/h)
2. Create a Gap analysis to maximize the savings using a target value of Profit of 3500 using as and Index the time variable and as a Variable the KPI to be analysed.
Maximize means that the Gap is under the target. Minimize means that Gap is above the target. |
3. Create a Cusum to cumulate the savings over a period of time. In the CUSUM Variable editor page the Index and the Variable are automatically selected, respectively the time variable and the Gap Variable Name. Click on Save to compute the CUSUM function.
The result can be seen on the top of the resulting table :
4. Create a Trend, using More Actions → Create Trend. In the Trend editor the X and Y axis are automatically selected, respectively time variable and CUSUM_Variable Name. In Advanced tab check the box "Fill curves" to color the area between the curve and X - Y' axis.
Using the basic statistics given below the Trend for the CUSUM-GAP_Profit/hr function, assess the yearly savings potential based on a target value of 3500 €/hr.
Number of records (production hours) = 6475
Maximum value for the CUSUM function = 300 751 USD
The ratio of these two numbers gives a hourly savings potential equal to 46.45 UDS/hr.
Based on the assumption that the process is operating 24/7, with 2 weeks shutdown for yearly maintenance, the yearly savings potential is around 399 098 USD.
Factor is the factor by which we multiple the gap to calculate an absolute rather than relative gap value. This is often used for specific value (unit of value/unit of production) to calculate the value gap rather than specific value gap. In this case, the factor equals “1” because data sampling period is 1 hour. |