A Two Stage Solution Procedure for Production Planning System with Advance Demand Information

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概要

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• We model for 'Naiji System' which is a unique corporation technique between a manufacturer and suppliers in Japan. We propose a two stage solution procedure for a production planning problem with advance demand information, which is called 'Naiji'. Under demand uncertainty, 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 and the special structure of correlation matrix in the problem where inventory for different periods is not independent, we propose a solution procedure with two stages which are named Mass Customization Production Planning & Management System (MCPS) and Variable Mesh Neighborhood Search (VMNS) based on meta-heuristics. It is shown that the proposed solution procedure is available to get a near optimal solution efficiently and practical for making a good master production schedule in the suppliers.

• 一般社団法人 日本機械学会の論文

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

  Department of Management Information Systems Prefectural University of Hiroshima

• HASUIKE Takashi

  Graduate School of Information Science and Technology Osaka University

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• 4B1 Mass Customization Production Planning System for Multi-process
• 3B2 An Optimal Solution for Mass Customization Production Planning System with Uncertain Advance Demand Information(Technical session 3B: Scheduling under uncertainty)
• A Two Stage Solution Procedure for Production Planning System with Advance Demand Information

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