TY - JOUR
T1 - ASSESSMENT OF PRODUCTION EFFICIENCY AT TATAMA MINE
AU - Mosiamisi, Otsweletse
AU - Suglo, Raymond S.
N1 - Publisher Copyright:
© 2006-2022 Asian Research Publishing Network (ARPN). All rights reserved.
PY - 2022/9
Y1 - 2022/9
N2 - It is important to assess mining productivity to ensure optimal mining production performance. Mining productivity is achieved through proper management, monitoring and evaluation of invested resources and operations to increase production efficiency. This paper assesses the production efficiency of an underground coal mine called Tatama Mine (TM) by identifying and evaluating the factors that influence production levels using statistical methods. The parameters used include equipment availability, equipment engineering availability, equipment mean time to repair (MTTR) and mean time between failure (MTBF), equipment engineering availability (ENA) and equipment availability (EQA). The results show that the EQA for the continuous miners and MTTR for shuttle cars influenced the production outputs by 77.00% and 96.36% respectively. The MTTR for continuous miners (CMs) influenced production performance by 59.68% while the ENA and MTBF for CMs and EQA, ENA and MTBF for shuttle cars affected production output by < 50%. It is recommended that technological advances should be adopted and integrated into the production system to respond immediately to problems with production units and improve the entire production system. Also, CMs and shuttle cars should be frequently examined within their equipment reliability periods (using their current MTTR values) to maximise their equipment uptimes (MTBF values).
AB - It is important to assess mining productivity to ensure optimal mining production performance. Mining productivity is achieved through proper management, monitoring and evaluation of invested resources and operations to increase production efficiency. This paper assesses the production efficiency of an underground coal mine called Tatama Mine (TM) by identifying and evaluating the factors that influence production levels using statistical methods. The parameters used include equipment availability, equipment engineering availability, equipment mean time to repair (MTTR) and mean time between failure (MTBF), equipment engineering availability (ENA) and equipment availability (EQA). The results show that the EQA for the continuous miners and MTTR for shuttle cars influenced the production outputs by 77.00% and 96.36% respectively. The MTTR for continuous miners (CMs) influenced production performance by 59.68% while the ENA and MTBF for CMs and EQA, ENA and MTBF for shuttle cars affected production output by < 50%. It is recommended that technological advances should be adopted and integrated into the production system to respond immediately to problems with production units and improve the entire production system. Also, CMs and shuttle cars should be frequently examined within their equipment reliability periods (using their current MTTR values) to maximise their equipment uptimes (MTBF values).
KW - equipment availability
KW - production efficiency
KW - production equipment
KW - underground coal mine
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M3 - Article
AN - SCOPUS:85164810081
SN - 1819-6608
VL - 17
SP - 1701
EP - 1708
JO - ARPN Journal of Engineering and Applied Sciences
JF - ARPN Journal of Engineering and Applied Sciences
IS - 18
ER -