TY - GEN
T1 - Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru
AU - Huaira-Perez, Jorge
AU - Llerena-Vargas, Orlando
AU - Pehóvaz-Alvarez, Humberto
AU - Solis-Sarmiento, Hugo
AU - Aramburu-Rojas, Vidal
AU - Raymundo, Carlos
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Mining activities around the world are undergoing constant change and modernization owing to technological and scientific advancements. Consequently, there are frequent proposals to streamline and enhance processes in mining operations. This study deals with ore transportation in mechanized mining units and aims to optimize fleet management using the Lean Six Sigma methodology to obtain a model in this specific process. The proposed method was implemented using a Lean Six Sigma instrument known as DMAIC (Define, Measure, Analyze, Improve, and Control). The case study was applied to an underground mine located in the Huancavelica region, Peru. The simulation showed that 24% of the time in the ore transport cycle is un-productive time and the improvement potential time represents 53% of the transportation process time.
AB - Mining activities around the world are undergoing constant change and modernization owing to technological and scientific advancements. Consequently, there are frequent proposals to streamline and enhance processes in mining operations. This study deals with ore transportation in mechanized mining units and aims to optimize fleet management using the Lean Six Sigma methodology to obtain a model in this specific process. The proposed method was implemented using a Lean Six Sigma instrument known as DMAIC (Define, Measure, Analyze, Improve, and Control). The case study was applied to an underground mine located in the Huancavelica region, Peru. The simulation showed that 24% of the time in the ore transport cycle is un-productive time and the improvement potential time represents 53% of the transportation process time.
KW - Fleet management
KW - Lean Six Sigma
KW - Mechanized underground mining
KW - Ores transportation
UR - https://www.scopus.com/pages/publications/85098120200
U2 - 10.1007/978-3-030-57548-9_40
DO - 10.1007/978-3-030-57548-9_40
M3 - Contribución a la conferencia
AN - SCOPUS:85098120200
SN - 9783030575472
T3 - Smart Innovation, Systems and Technologies
SP - 429
EP - 438
BT - Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology
A2 - Iano, Yuzo
A2 - Arthur, Rangel
A2 - Saotome, Osamu
A2 - Kemper, Guillermo
A2 - Padilha França, Reinaldo
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th Brazilian Technology Symposium, BTSym 2019
Y2 - 22 October 2019 through 24 October 2019
ER -