首页|Inter:一种面向不完整存货数据视图的异常存货识别方法

Inter:一种面向不完整存货数据视图的异常存货识别方法

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异常存货清查与处置作为当前存货管理中较为重要的一环,大多依赖人工进行盘点与清查,个体差异可能造成部分存货数据要素缺失,从而为异常存货清查带来了挑战.本文构建了一种异常存货识别网络,同时实现了海量存货数据背景下的缺失值填补与异常存货状态识别.在大型航空制造企业中三家专业厂的真实存货数据集上进行了实验,结果表明,本文所提的Inter模型能在不完整视图场景下有效识别异常存货状态,为大型航空制造企业中的存货清查工作提供了新方法.
Inter:Abnormal Inventory Recognition Method for Incomplete Inventory Data View
Abnormal inventory inventory and disposal,as a more important part of current inventory man-agement,mostly rely on manual inventory and inventory,which causes some inventory data elements to be missing,thus bringing challenges to abnormal inventory inventory.This paper constructs an end-to-end Ab-normal Inventory Recognition Encoder-Decoder Network(Inter)for incomplete view scenarios,it also realizes missing value filling and abnormal inventory status identification among the massive inventory data.The ex-perimental analysis is carried out on the real inventory data set of three specialized factories in large-scale aviation manufacturing enterprises,which shows that the Inter model can effectively identify abnormal invento-ry status under the incomplete view scenario,and provides a novel idea for inventory recognition in large-scale military aviation manufacturing enterprises.

inventory managementabnormal recognitionincomplete viewencoder-decoder

石渊龙、吴悠、张熠玲

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成都飞机工业(集团)有限责任公司,四川成都

存货管理 异常识别 不完整视图 编码-解码器

2024

科学技术创新
黑龙江省科普事业中心

科学技术创新

影响因子:0.842
ISSN:1673-1328
年,卷(期):2024.(14)
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