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In this thesis an algorithm for the optimization of the manufacture of parts on typical industrial multiple-spindle automatic bar machines, and a simple optimum-seeking approach for obtaining the required tool life equations from production tool life data are described. The thesis contains a quite detailed review of the more recent metal cutting optimization literature. The optimizing algorithm is designed to optimize the tool layouts and cutting conditions used with multiple-spindle automatic bar machines with respect to either minimum cost/component, maximum production rate, or maximum profit rate. Either discrete, or continuous decision variable solutions may be obtained. Tool life is assumed to be probabilistic. The algorithm permits a choice to be made between a replace-tools-upon-failure solution, and a scheduled tool change solution. An algorithm-generated optimal tool changing schedule is included in the scheduled tool change solution. The amount of computer memory required for the algorithm computer program is not large. (Stoehr)