{"title":"一种新的露天矿山运输系统综合关键绩效评价指标:GMG标准的应用","authors":"Sebeom Park , Dahee Jung , Yosoon Choi","doi":"10.1016/j.asej.2025.103589","DOIUrl":null,"url":null,"abstract":"<div><div>This study evaluates the performance of a haulage system in a South Korean limestone open-pit mine using the standardized time classification framework proposed by the Global Mining Guidelines Group (GMG). Additionally, a new integrated key performance indicator (KPI) that consolidates nine individual KPIs proposed by GMG is introduced. The aim is to assess the availability, utilization, and effectiveness of the haulage system comprising trucks and loaders, while developing a more intuitive and comprehensive KPI for performance assessment. Data were collected from various sources, including work orders, work logs, the haulage management system, and time studies, then classified according to the GMG standardized time categories. This study applied three methods—equal weighting, GMG group-based weighted aggregation, and correlation analysis with clustering—to calculate the integrated KPI and compare the results. The results showed high physical and mechanical availability (over 97%), but relatively low asset utilization (average 35.9%) and production effectiveness (average 59.8%). Using the GMG group-based weighted aggregation method, integrated KPI scores ranged from 69.8% (Truck 33) to 79.2% (Trucks 37 and 38), indicating performance differences related to uptime and utilization. This research suggests that integrated KPI is an effective tool for efficiently evaluating system performance and quickly identifying issues, thereby significantly improving the efficiency and sustainability of mining operations.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 10","pages":"Article 103589"},"PeriodicalIF":5.9000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel integrated key performance indicator for evaluating open-pit mine haulage systems: application of GMG standards\",\"authors\":\"Sebeom Park , Dahee Jung , Yosoon Choi\",\"doi\":\"10.1016/j.asej.2025.103589\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study evaluates the performance of a haulage system in a South Korean limestone open-pit mine using the standardized time classification framework proposed by the Global Mining Guidelines Group (GMG). Additionally, a new integrated key performance indicator (KPI) that consolidates nine individual KPIs proposed by GMG is introduced. The aim is to assess the availability, utilization, and effectiveness of the haulage system comprising trucks and loaders, while developing a more intuitive and comprehensive KPI for performance assessment. Data were collected from various sources, including work orders, work logs, the haulage management system, and time studies, then classified according to the GMG standardized time categories. This study applied three methods—equal weighting, GMG group-based weighted aggregation, and correlation analysis with clustering—to calculate the integrated KPI and compare the results. The results showed high physical and mechanical availability (over 97%), but relatively low asset utilization (average 35.9%) and production effectiveness (average 59.8%). Using the GMG group-based weighted aggregation method, integrated KPI scores ranged from 69.8% (Truck 33) to 79.2% (Trucks 37 and 38), indicating performance differences related to uptime and utilization. This research suggests that integrated KPI is an effective tool for efficiently evaluating system performance and quickly identifying issues, thereby significantly improving the efficiency and sustainability of mining operations.</div></div>\",\"PeriodicalId\":48648,\"journal\":{\"name\":\"Ain Shams Engineering Journal\",\"volume\":\"16 10\",\"pages\":\"Article 103589\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ain Shams Engineering Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2090447925003302\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2090447925003302","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
A novel integrated key performance indicator for evaluating open-pit mine haulage systems: application of GMG standards
This study evaluates the performance of a haulage system in a South Korean limestone open-pit mine using the standardized time classification framework proposed by the Global Mining Guidelines Group (GMG). Additionally, a new integrated key performance indicator (KPI) that consolidates nine individual KPIs proposed by GMG is introduced. The aim is to assess the availability, utilization, and effectiveness of the haulage system comprising trucks and loaders, while developing a more intuitive and comprehensive KPI for performance assessment. Data were collected from various sources, including work orders, work logs, the haulage management system, and time studies, then classified according to the GMG standardized time categories. This study applied three methods—equal weighting, GMG group-based weighted aggregation, and correlation analysis with clustering—to calculate the integrated KPI and compare the results. The results showed high physical and mechanical availability (over 97%), but relatively low asset utilization (average 35.9%) and production effectiveness (average 59.8%). Using the GMG group-based weighted aggregation method, integrated KPI scores ranged from 69.8% (Truck 33) to 79.2% (Trucks 37 and 38), indicating performance differences related to uptime and utilization. This research suggests that integrated KPI is an effective tool for efficiently evaluating system performance and quickly identifying issues, thereby significantly improving the efficiency and sustainability of mining operations.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.