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It is difficult to adjust the weight parameters of a multiple index on multiobjective product-mix problems. The solution is often far away from the schedule that is wanted. Therefore, to obtain a desirable schedule we study an approach that makes the schedule come to the intended target level of each index. To confirm the effectiveness of this approach, the linear goal programming model due to goal vector is verified by numerical experimentation with the number of products and the total profit as the index. As a result, we can make the solution come to the target levels of their index in a balanced manner.