[논문]GMG 시간 사용 모델 및 핵심성과지표를 이용한 지하 광산 트럭 운반 작업 성능 평가

박세범; 최요순

doi:10.7474/tus.2022.32.4.254

GMG 시간 사용 모델 및 핵심성과지표를 이용한 지하 광산 트럭 운반 작업 성능 평가
Performance Evaluation of Truck Haulage Operations in an Underground Mine using GMG's Time Usage Model and Key Performance Indicators 원문보기

터널과 지하공간: 한국암반공학회지 = Tunnel and underground space, v.32 no.4, 2022년, pp.254 - 271

박세범 (부경대학교 에너지자원공학과) , 최요순 (부경대학교 에너지자원공학과)

초록
AI-Helper

본 연구에서는 GMG (Global Mining Guidelines Group)에서 제안한 시간 사용 모델과 핵심성과지표(KPIs)들을 이용하여 트럭 운반작업에 대한 성과를 평가한 결과를 제시하였다. 이를 위해 철과 티탄 철을 주로 생산하는 국내 지하광산을 연구지역으로 선정한 다음 블루투스 비콘과 태블릿 PC를 이용하여 트럭 운반작업 데이터를 수집하였다. 수집된 데이터를 분석하여 트럭 운반작업의 단위작업, 활동 및 이벤트, 소요시간을 식별하였으며, 시간 사용 모델을 기반으로 시간 범주를 분류하였다. 트럭 운반작업의 성과는 가용률, 이용률, 효율성 측면의 9개 성과지표를 이용하여 평가하였다. 그 결과, 가용률 측면에서는 가동시간이 33.9%, 물리적 가용률은 95.7%, 기계적 가용률은 94.9%로 나타났다. 이용률의 경우, 가용장비 이용률은 83.1%, 자산 이용률은 28.1%, 운영 및 유효 이용률은 각각 79.6%, 77.7%로 나타났다. 또한, 효율성 측면에서는 운영 효율성이 97.6%로 높게 나타났으며, 생산 효율성은 49%로 나타났다.

Abstract ▼ AI-Helper

The performance of truck haulage operations in an underground mine was evaluated using the time usage model and key performance indicators (KPIs) proposed by Global Mining Guidelines Group (GMG). An underground mine that mainly produces iron and titanium iron was selected as a study area, and truck haulage data were collected using Bluetooth beacons and tablet PCs. The collected data were analyzed to identify unit operations, activities, events, and required time of truck haulage operations, and time categories were classified based on the time usage model. The performance of the haulage operations was evaluated using nine indicators in terms of availability, utilization, and effectiveness. As a result, in terms of availability, uptime was 33.9%, physical availability was 95.7%, and mechanical availability was 94.9%. In the case of utilization, use of availability was 83.1%, asset utilization was 28.1%, and operating and effective utilization were 79.6% and 77.7%, respectively. Also, in terms of efficiency, operating efficiency was high at 97.6%, and production effectiveness was found to be 49%.

주제어

표/그림 (17)

그림 Fig. 1. Time usage model in GMG’s guideline (Global Mining Guidelines Group, 2020)
표 Table 1. Summary of time category definitions (Global Mining Guidelines Group, 2020)
표 Table 1. Summary of time category definitions (Global Mining Guidelines Group, 2020) (continued)
표 Table 2. Basic time elements used to describe and record operational activities (Global Mining Guidelines Group, 2020)
표 Table 2. Basic time elements used to describe and record operational activities (Global Mining Guidelines Group, 2020) (continued)
표 Table 3. Key performance indicators suggested by GMG (Global Mining Guidelines Group, 2020)
표 Table 3. Key performance indicator suggested by GMG (Global Mining Guidelines Group, 2020) (continued)
표 Table 4. Equipment of loading and haulage in study area
그림 Fig. 2. Conceptual view of method to collect haulage operations data of trucks
그림 Fig. 3. Example of truck haulage data collected by Bluetooth beacon and Tablet PC
그림 Fig. 4. Daily work report for truck used in study area
그림 Fig. 5. Classification of time categories by truck in the study area (a) Truck A, (b) Truck B, (c) Truck C, (d) Truck D
표 Table 5. Results of time category classification of truck haulage operations data
그림 Fig. 5. Classification of time categories by truck in the study area (a) Truck A, (b) Truck B, (c) Truck C, (d) Truck D (continued)
그림 Fig. 6. Efficiency of truck haulage operations by truck and by date (a) Operating Efficiency, (b) Production Effectiveness
표 Table 6. Key performance indicators of trucks (4 trucks with a capacity of 25 tons) used for the transport of ore or waste
그림 Fig. 6. Efficiency of truck haulage operations by truck and by date (a) Operating Efficiency, (b) Production Effectiveness (continued)

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저자의 다른 논문 :

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