基于 RFID 收集的制造业大数据的生产效率分析

IF 1.9 Q3 ENGINEERING, MANUFACTURING

Manufacturing Letters Pub Date : 2024-10-01 DOI:10.1016/j.mfglet.2024.09.012

Zhihui Chen , Zeyu Xiao , Yize Sun , Yuhao Dong , Ray Y. Zhong

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引用次数: 0

摘要

射频识别（RFID）技术被广泛应用于生产车间的生产数据采集。射频识别（RFID）采集的制造业大数据反映了生产流程和制造产品的详细状态，可用于支持全面的生产分析。本文介绍了一种基于 RFID 收集的制造业大数据进行生产效率分析的分析方法。所提出的方法包括四个关键步骤：数据清理、数据处理、关键绩效指标（KPI）估算和数据分析。具体而言，将车间制造的速度和质量方面作为生产效率进行综合调查，以支持综合生产分析。研究结果突出了各种因素对生产效率的影响，如操作日期、工作时间和机器故障。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Production efficiency analysis based on the RFID-collected manufacturing big data

Radio Frequency Identification (RFID) technology is widely used for production data collection in manufacturing shop-floors. The RFID-collected manufacturing big data reflects detailed statuses of production processes and manufactured products, which, in turn, can be used to support a comprehensive production analysis. This paper introduces an analytical approach to conduct production efficiency analysis based on the RFID-collected manufacturing big data. The proposed method involves four key steps: data cleansing, data processing, key performance indicator (KPI) estimation, and data analytics. Specifically, speed and quality aspects of shopfloor manufacturing are investigated collectively as production efficiency to support the comprehensive production analysis. The findings highlight the influence of various factors, such as operation date, working hour, and machine failure, on production efficiency.

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来源期刊

Manufacturing Letters Engineering-Industrial and Manufacturing Engineering

CiteScore

4.20

自引率

5.10%

发文量

192

审稿时长

60 days