{"title":"利用质量控制对水质进行数值评估——以尼日利亚科吉州伊达为例","authors":"Wilson Simon Barguma, O. Achimugu","doi":"10.9734/ajpas/2023/v24i2521","DOIUrl":null,"url":null,"abstract":"This research seeks to apply \"numerical assessment of water quality using quality control - A case study of Idah, Kogi state, Nigeria.” Secondary data of 500 bags of Idah factory water produced over period of 23 days were analyzed using control chart for fraction and number defectives to monitor the proportions of defective and number of defects in the factory water. It was found using P-CHART that central line (CL), upper control limit (UCL) and lower control limit (LCL) were 0.04, 0.07, and 0.01 respectively. Similarly, the result obtained using NP-CHART in monitoring number of defects in Idah factory water production indicated that , lower control limit (LCL), central line and upper control limit (UCL) were 8, 22 and 36 respectively. In both cases all the points were within the control limits. This implies that the production process is in a state of statistical control. It was therefore, recommended that the current components of the production process should be sustained among other things.","PeriodicalId":8532,"journal":{"name":"Asian Journal of Probability and Statistics","volume":"16 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Numerical Assessment of Water Quality Using Quality Control - A Case Study of Idah, Kogi State, Nigeria\",\"authors\":\"Wilson Simon Barguma, O. Achimugu\",\"doi\":\"10.9734/ajpas/2023/v24i2521\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research seeks to apply \\\"numerical assessment of water quality using quality control - A case study of Idah, Kogi state, Nigeria.” Secondary data of 500 bags of Idah factory water produced over period of 23 days were analyzed using control chart for fraction and number defectives to monitor the proportions of defective and number of defects in the factory water. It was found using P-CHART that central line (CL), upper control limit (UCL) and lower control limit (LCL) were 0.04, 0.07, and 0.01 respectively. Similarly, the result obtained using NP-CHART in monitoring number of defects in Idah factory water production indicated that , lower control limit (LCL), central line and upper control limit (UCL) were 8, 22 and 36 respectively. In both cases all the points were within the control limits. This implies that the production process is in a state of statistical control. It was therefore, recommended that the current components of the production process should be sustained among other things.\",\"PeriodicalId\":8532,\"journal\":{\"name\":\"Asian Journal of Probability and Statistics\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Probability and Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9734/ajpas/2023/v24i2521\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Probability and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/ajpas/2023/v24i2521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
这项研究寻求应用“利用质量控制对水质进行数值评估——以尼日利亚科吉州伊达为例”。对500袋Idah厂用水23天的二次数据进行分析,采用不合格品分数和不合格品数量控制图,监测厂用水不合格品比例和不合格品数量。P-CHART结果显示,中心线(CL)、上控制限(UCL)和下控制限(LCL)分别为0.04、0.07和0.01。同样,利用NP-CHART对Idah厂产水缺陷数的监测结果表明,控制下限(LCL)为8,中线(central line)为22,上限(upper control limit)为36。在这两种情况下,所有的点都在控制范围内。这意味着生产过程处于统计控制状态。因此,有人建议,除其他事项外,应维持生产过程的现有组成部分。
Numerical Assessment of Water Quality Using Quality Control - A Case Study of Idah, Kogi State, Nigeria
This research seeks to apply "numerical assessment of water quality using quality control - A case study of Idah, Kogi state, Nigeria.” Secondary data of 500 bags of Idah factory water produced over period of 23 days were analyzed using control chart for fraction and number defectives to monitor the proportions of defective and number of defects in the factory water. It was found using P-CHART that central line (CL), upper control limit (UCL) and lower control limit (LCL) were 0.04, 0.07, and 0.01 respectively. Similarly, the result obtained using NP-CHART in monitoring number of defects in Idah factory water production indicated that , lower control limit (LCL), central line and upper control limit (UCL) were 8, 22 and 36 respectively. In both cases all the points were within the control limits. This implies that the production process is in a state of statistical control. It was therefore, recommended that the current components of the production process should be sustained among other things.