3B2 An Optimal Solution for Mass Customization Production Planning System with Uncertain Advance Demand Information(Technical session 3B: Scheduling under uncertainty)

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概要

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• We model for 'Naiji System' which is an unique corporation between a manufacturer and suppliers in Japan. We propose an optimal solution algorithm for the problem with uncertain advance demand information, which is called 'Naiji'. This model is formulated as a nonlinear stochastic programming problem which minimizes the sum of production cost and inventory holding cost subject to a probabilistic constraint and some linear production constraints. By the convexity of the problem, we propose an optimal solution algorithm with 2 stages which are named Mass Customization Production Planning & Management System (MCPS) and 'Variable mesh neighborhood search' based on meta-heuristics.

• 一般社団法人日本機械学会の論文
• 2011-07-02

著者

• Ueno Nobuyuki

  Department of Management and Information Sciences, Hiroshima Prefectural University

• Okuhara Koji

  Graduate School Of Information Science And Technology Osaka University

• Kadomoto Kiyotaka

  Graduate School of Comprehensive Scientific Research Prefectural University of Hiroshima

• Hasuike Takasi

  Graduate School of Information Science and Technology Osaka University

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