In order to carry out a correct analysis of the data, it is necessary to have clear the objective that one wants to achieve.
The main objective is to improve the quality of the production process in terms of efficiency and effectiveness. As a consequence, an improvement in the product, a reduction in operating and product costs and an increase in the number of customers will be achieved. act appropriately on the process, appropriate statistical tools applied to the key process parameters must be used. There are two types of data processing, Numerical Analysis and Causal Analysis. Numerical Analysis is concerned with evaluating the quality of the product already made and decide whether or not it is appropriate for sale. Example, a batch of product that is in stock pending approval for sale. The causal analysis assesses the performance of the production system that generated the product or service in order to maximize the probability that the product that has NOT yet been produced conforms to the customer’s specifications and is produced at the lowest possible cost. Samples are also performed on the product but the data processing and actions are different from the Numerical Analysis
