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ワグナー・ホイティン法×ベンダー分解×
分野オペレーションズ・リサーチオペレーションズ・リサーチ
系統Machine learningMachine learning
提唱年19581962
提唱者Harvey M. Wagner and Thomson M. WhitinJacques F. Benders
種類algorithmalgorithm
原典Wagner, H. M., & Whitin, T. M. (1958). Dynamic version of the economic lot size model. Management Science, 5(1), 89-96. DOI ↗Benders, J. F. (1962). Partitioning procedures for solving mixed-variables programming problems. Numerische Mathematik, 4(1), 238-252. DOI ↗
別名Wagner-Whitin lot-sizing, dynamic lot-sizing algorithmcutting plane method, constraint generation
関連33
概要The Wagner-Whitin Algorithm, introduced by Harvey M. Wagner and Thomson M. Whitin in 1958, is a dynamic programming solution to the capacitated lot-sizing problem. It determines optimal production quantities over multiple periods to minimize the total cost of production setup and inventory holding while meeting deterministic demand.Benders Decomposition, introduced by Jacques F. Benders in 1962, is a powerful algorithmic framework for solving large-scale mixed-integer programming (MIP) problems. It decomposes the problem into a master problem (controlling complicating variables) and subproblems (handling remaining variables), using cutting planes generated from subproblem dual information to iteratively tighten the master problem.
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ScholarGate手法を比較: Wagner-Whitin Algorithm · Benders Decomposition. 2026-06-18に以下より取得 https://scholargate.app/ja/compare