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Research on inventory collaborative supply for multi-industrial chains based on cloud services platform

机译:基于云服务平台的多产业链库存协同供应研究

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In order to effectively reduce industrial chain inventory cost and cut down supply disruption risks, this paper studied inventory collaborative supply for multi-industrial chains in a cloud environment. After analyzing a cross industrial chain supply mode of multi-industrial chains collaboration based on cloud services platform, an inventory collaborative supply model for multi-industrial chains based on demand forecast (Q, R) strategy was established, and the demand forecast strategy which based on exponential smoothing method was proposed to obtain the cycle purchasing quantity. Then a supply source selection optimization algorithm of cross industrial chain inventory supply based on k-means clustering algorithm was proposed to obtain the optimal supply source in the model. Research shows that the cross industrial chain supply mode was obviously superior to tradition inventory supply mode in reducing inventory costs and shortage cost.
机译:为了有效降低产业链的库存成本并降低供应中断风险,本文研究了云环境下多产业链的库存协同供应。在分析了基于云服务平台的多产业链协作的跨产业链供应模式后,建立了基于需求预测(Q,R)策略的多产业链库存协同供应模型,并提出了基于需求预测策略的需求预测策略。提出了采用指数平滑法求周期购买量的方法。然后提出了一种基于k均值聚类算法的跨产业链库存供应的供应源选择优化算法,以获取模型中的最优供应源。研究表明,跨产业链供应模式在降低库存成本和短缺成本方面明显优于传统库存供应模式。

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