1972 年 38 巻 447 号 p. 384-390
An analytical method applying a chance-constrained programming concept is proposed to determine the optimum cutting conditions considering the probabilistic nature of the evaluation function and constraints. The proposed analytical method is illustrated through an application to an example. It is shown that the optimum cutting conditions are significantly affected by the probabilistic nature of coefficients in the constraints. The optimum feed for the minimum production cost becomes smaller as the probability level for the constraints becomes higher, while the optimum cutting speed does not change significantly in the example considered. The effect of the uncertainty of the predicted tool life in the production cost function on the optimum cutting conditions is also considered.