Design the Improvement Plan of Vital Factor

The optimal solution in this phase can be begun by enumerating the all possibility of the improvement idea both qualitative method and quantitative method. Then, we evaluate the improvement focus on financial benefits, defect etc. we must keep consistency during the evaluation in order to the result will represent the actual performance. So, we can select the improvement idea based on the evaluation that has been done. In the final step, verification needed to check some points to check overall condition when apply the improvement idea.

Picture I.2. Procedure conducting the Improvement Idea.

Designing Improvement idea can be generated from qualitative or quantitative method. For more objectives, quantitative method is preferable than qualitative method. As long as the data are quantified, better we use quantitative but qualitative no mean worse.

In Quantitative method, we often conduct experiment to get the best value based on the observation data. Based on the controlling data, we can categorize the experiment type. If there are uncontrollable, we can use the regression analysis. In example, we collect data demand, sales, etc. When data can be controlled, usually Design of Experiment (DoE) or Response Surface Methodologies (RSM), etc are the preferred method to be applied.

The Regression analysis just show the correlation between vital factors and its response not ensure there are has causalities between each other or not. While, DoE or RSM besides show the correlation, this method could be show the causalities effect.

But, if selecting best solution use the quantitative is not possible, we can use qualitative method to create the improvement way. Or, we also can combine between quantitative and qualitative method to gain more power improvement.

Qualitative method could be implemented by using tools Osbone’s Check List, Listing Faults - Listing Wish points, ERRS, SCAMPER, Functional Improvement, Procedure Improvement, etc.