牛津布成品合格率数据

牛津布成品交货前会进行检验检测，根据检验结果判断该批牛津布是否合格，对产品合格率进行统计并做可视化分析，纵向对比判断生产状态，横向对比与行业内其他企业的生产合格率差异，帮助企业提高生产水平。1、数据采集：记录每次检验检测的时间、品名、生产总米数、合格米数、不合格米数等数据，2、数据处理：根据生产总米数、合格米数及不合格米数，该批产品的合格率与不合格率，合格率=合格米数/生产总米数，不合格率=不合格米数/生产总米数，对某一时间段的合格率及不合格率做可视化分析，根据合格率变化趋势，分析该时间段内企业的生产状况。

Prior to delivery, finished oxford fabric products will be subject to inspection and testing. The qualification of each batch is judged based on the inspection results, and the product qualified rate is counted and analyzed via visual means. Longitudinal comparisons are conducted to evaluate the production status, while cross-sectional comparisons are made to analyze the gap in production qualified rates between this enterprise and its industry peers, so as to help enterprises improve their production levels.
1. Data Collection: Record data such as the timestamp of each inspection, product name, total production meters, qualified meters, disqualified meters and other relevant information.
2. Data Processing: Calculate the qualified rate and disqualified rate of the batch based on the total production meters, qualified meters and disqualified meters, with the formulae as follows: qualified rate = qualified meters / total production meters, and disqualified rate = disqualified meters / total production meters. Perform visual analysis on the qualified and disqualified rates within a specific time period, and analyze the production status of the enterprise during this period based on the variation trend of the qualified rate.

搜集汇总

数据集介绍

特点

该数据集记录了浙江辰鸿纺织品科技股份有限公司的牛津布成品检验数据，包含146条记录，涵盖检验日期、品名、生产总米数、合格米数等字段，用于统计和分析产品合格率，帮助企业优化生产水平。数据按需更新，并通过可视化分析合格率趋势，支持生产状态评估和行业对比。