Manufacturing instruction evaluation support system, manufacturing instruction evaluation support method, and manufacturing instruction evaluation support program

A manufacturing instruction evaluation support method executed by a computer having a storage device that stores therein a parameter table storing manufacturing instruction parameters associated with product manufacturing, a manufacturing performance table storing manufacturing performance data in a manufacturing process operated in accordance with a manufacturing instruction parameter, and a multiple regression analysis program executing multiple regression analysis, the method comprising the steps of;

• reading from the parameter table and the manufacturing performance table and storing into a memory, a manufacturing instruction parameter group and manufacturing performance data corresponding thereto;
• using the manufacturing instruction parameter group of the memory as an explanatory variable and the manufacturing performance data as an objective variable to calculate a risk rate for each manufacturing instruction parameter configuring the manufacturing instruction parameter group and an average value of the calculated risk rates among the manufacturing instruction parameters with the multiple regression analysis program and identifying manufacturing instruction parameters having risk rates no greater than the average value in the manufacturing instruction parameter group as available choices;
• calculating multiple correlation coefficients, a number of parameters, and a number of samples for the manufacturing instruction parameter group and the manufacturing instruction parameters of the available choices to calculate an explanatory variable selection reference value with the multiple regression analysis program based on the calculated multiple correlation coefficients, the number of parameters, and the number of samples and identifying the manufacturing instruction parameter group or the manufacturing instruction parameters of the available choices having a greater calculated explanatory variable selection reference value as an optimum parameter;
• and
• calculating a regression equation when employing the optimum parameter with the multiple regression analysis program to display the regression equation on an output interface.

A manufacturing instruction evaluation support program operable to cause a computer having a storage device that stores therein a parameter table storing manufacturing instruction parameters associated with product manufacturing, a manufacturing performance table storing manufacturing performance data in a manufacturing process operated in accordance with a manufacturing instruction parameter, and a multiple regression analysis program executing multiple regression analysis to execute the steps of:

• reading from the parameter table and the manufacturing performance table and storing into a memory, a manufacturing instruction parameter group and manufacturing performance data corresponding to the group;
• using the manufacturing instruction parameter group in the memory as an explanatory variable and the manufacturing performance data as an objective variable to calculate a risk rate for each of the manufacturing instruction parameters configuring the manufacturing instruction parameter group and an average value of the calculated risk rates among the manufacturing instruction parameters with the multiple regression analysis program and identifying manufacturing instruction parameters having risk rates no greater than the average value in the manufacturing instruction parameter group as available choices;
• calculating multiple correlation coefficients, a number of parameters, and a number of samples for the manufacturing instruction parameter group and the manufacturing instruction parameters of the available choices to calculate an explanatory variable selection reference value with the multiple regression analysis program based on the calculated multiple correlation coefficients, the number of parameters, and the number of samples and identifying the manufacturing instruction parameter group or the manufacturing instruction parameters of the available choices having a greater calculated explanatory variable selection reference value as an optimum parameter;
• and
• calculating a regression equation when employing the optimum parameter with the multiple regression analysis program to display the regression equation on an output interface.