TWO NONCONVEX MINIMIZATION APPROACHES FOR THE PROBLEM OF DETERMINING AN ECONOMIC ORDERING POLICY FOR JOINTLY REPLENISHED ITEMS

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概要

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• This paper describes nonconvex minimization approaches for the' problem of determining an economic ordering policy for jointly replenished items. After reducing the object, function in the problem to a single-variable nonconvex function, two methods are proposed for solving the problem. One is the Successive Underestimation Method which utilizes effectively the properties of the function A/t + Bt. Another is a modification of the Relief Indicator Method. Different from other heuristic methods ever proposed for the problem, the methods developed in this paper can obtain a global approximate solution within any prescribed error bound as we like. Results of computational tests show that both of the proposed methods perform equally well for many test problems.

• 社団法人日本オペレーションズ・リサーチ学会の論文

著者

• Suzuki Shigemichi

  Sophia University

• Thach Phan

  Hanoi Institute Of Mathematics

• Tanaka Takao

  Takachiho University of Commerce

関連論文

• TWO NONCONVEX MINIMIZATION APPROACHES FOR THE PROBLEM OF DETERMINING AN ECONOMIC ORDERING POLICY FOR JOINTLY REPLENISHED ITEMS
• An Approximate Solution Method for Optimal Buffer Allocation in Serial n-stage Automatic Production Lines : Series C : Vibration, Control Engineering, Engineering for Industry

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