本文選題：不確定環(huán)境　切入點：混流裝配生產(chǎn)　出處：《計算機集成制造系統(tǒng)》2017年10期

【摘要】：為使生產(chǎn)車間的物料配送環(huán)節(jié)適應當前多品種小批量生產(chǎn)和個性化市場的需求,從分析生產(chǎn)車間環(huán)境的復雜性和不確定性入手,通過建立不確定環(huán)境下的配送成本期望模型,確定了物料的最佳配送區(qū)間;結(jié)合混流裝配生產(chǎn)線的特點,設計了基于動態(tài)周期的物料配送策略;基于該策略,建立了以最小化配送成本和最大化滿載率為目標,物料需求時間和線邊庫存容積以及行進路徑為約束的優(yōu)化模型,并針對該模型的設計了基于遺傳算法的求解算法。最后,針對實際應用場景,通過eM-plant軟件搭建仿真模型,分別模擬傳統(tǒng)的配送策略和所設計的配送策略,對比結(jié)果驗證了本文所提策略的優(yōu)越性和有效性。
[Abstract]:In order to adapt the material distribution link of production workshop to the demand of multi-variety and small-batch production and individualized market, the complexity and uncertainty of production workshop environment are analyzed, and the expected model of distribution cost under uncertain environment is established.According to the characteristics of mixed-flow assembly line, a material distribution strategy based on dynamic cycle is designed. Based on the strategy, the goal is to minimize the cost of distribution and maximize the full load rate.The optimization model of material requirement time, line side inventory volume and travel path is optimized. A genetic algorithm based on genetic algorithm is designed to solve the model.Finally, according to the actual application scenario, the simulation model is built by eM-plant software, the traditional distribution strategy and the designed distribution strategy are simulated respectively. The comparison results verify the superiority and effectiveness of the strategy proposed in this paper.
【作者單位】： 北京交通大學機械與電子控制工程學院;中車青島四方機車車輛股份有限公司;
【基金】：國家科技支撐計劃資助項目(2015BAF08B02) 中央高校基本科研業(yè)務費專項資金資助項目(2015JBM078)~~
【分類號】：TH187

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相關期刊論文 前2條

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2 黃剛;邵新宇;饒運清;;多目標混流裝配計劃排序問題[J];華中科技大學學報(自然科學版);2007年10期

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