Study of a System for Supporting the Analysis of Distribution Processing Work at a Logistics Center
Study of a System for Supporting the Analysis of Distribution Processing Work at a Logistics Center
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物流中心流通加工工作分析支持系统的研究
DOI：
10.11221/jima.70.124
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发表时间：
2019
影响因子：
--
通讯作者：
Takashi SHINZATO
中科院分区：
文献类型：
--
作者：
Liang SHUYU;Yasuhiro KAJIHARA;Masanari HAKKAKU;Ataru MAKOSHI;Takashi SHINZATO
本文重点研究了面向配送流程的工作分析支持系统的开发，并以某服装零售订单配送中心的工作分析为例进行了研究。该系统包括超声波传感器，用于测量工人的流动线，以及智能手机，用于测量工人的主要手加速度。从获得的数据中得出了估计工人运动的模型。候选估计模型采用统计模型线性判别函数、决策树和k近邻算法，并以交叉验证泛化误差作为选择最优估计模型的指标。将该系统应用于某服装配送中心的拣货分析实例。得到的κ系数表明，视频分析结果与系统跟踪结果的匹配度在0.6以上，验证了系统的有效性。
This paper focuses on the development of a work analysis support system for distribution processing and presents a case study of work analysis at a retail clothing order fulfillment center. The system comprises ultrasonic sensors for measuring a worker’s flow line and a smartphone for measuring the worker’s dominant hand acceleration. Models for estimating the worker’s motion were derived from the data obtained. Candidate estimation models were the statistical models linear discriminant function, decision tree, and k-nearest neighbor algorithm, and we used generalization error by crossvalidation as an index for choosing the optimal estimation model. The system was applied to the example of analyzing order picking in a clothing distribution center. The κ coefficient obtained indicated the degree of matching between the results of video analysis and tracking by our system to be 0.6 or more, which confirmed the validity of our system.