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食用油包装成品仓库设计输入与库容理论计算模型研究

Edible oil packaging finished product warehouse design input conditions and theoretical calculation model of storage capacity
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摘要 随着我国食用油消费方式由散装向包装油的转变和物流业的发展,食用油中小包装厂建设飞速发展,由于包装厂的地域、加工规模、产品种类、货物周转率及物流状况等各不相同,设计出的仓储方案也各有差异。通过分析影响库容的所有相关因素,结合建筑厂房设计固有特点,探讨设计参数输入条件,揭示能够指导设计应用的一般性规律,构建特定条件下的最小库容理论计算模型,基于模型叠加实际生产运营中不断变化的常见变量,通过引入周转率来修正真实状态对理论模型的偏差,进而推导出一个简便的公式,以期为设计提供参考。 With the change of edible oil consumption pattern from bulk to packing oil and the development of logistics industry,the construction of small and medium-sized edible oil packing plant is developing rapidly,due to the packaging plant's geographical location,processing scale,product types,goods turnover rate and logistics conditions are different,the design of the warehousing scheme is also different.By analyzing all relevant factors affecting the storage capacity and combining with the inherent characteristics of building workshop design,discusses the design parameter input conditions,reveals the general rules that can guide the design application,and constructs the theoretical calculation model of minimum storage capacity under specific conditions.Based on the superposition of the model with the common variables that are constantly changing in the actual production operation,the deviation of the real state from the theoretical model is corrected by introducing the turnover rate,and then a simple formula is derived to provide a reference for the design.
作者 蒋守业 曾轶 周勇 朱福兴 赵耀武 华震 JIANG Shou-ye;ZENG Yi;ZHOU Yong;ZHU Fu-xing;ZHAO Yao-wu;HUA Zhen(China Grain Wuhan Science Research and Design Institute Co.,Ltd.,Wuhan Hubei 430079;Sino Grain Oils Dongguan Co.,Ltd.,Dongguan Guangdong 523147;COFCO Oils(QinZhou)Co.Ltd.,Qinzhou Guangxi 535008;Nanjing Huaruide Logistics Equipment Co.Ltd.,Nanjing Jiangsu 211122;Hangzhou Zhongya Machinery Co.Ltd.,Hangzhou Zhejiang 310011)
出处 《粮油食品科技》 2019年第5期83-90,共8页 Science and Technology of Cereals,Oils and Foods
关键词 食用油成品库 库容 设计参数输入 模型 edible oil finished product warehouse storage capacity design parameter input model
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