Title
Lean Six Sigma Fleet Management Model for the Optimization of Ore Transportation in Mechanized Underground Mines in Peru
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Springer Science and Business Media Deutschland GmbH
Abstract
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.
Start page
429
End page
438
Volume
201
Language
English
OCDE Knowledge area
Planificación del transporte y aspectos sociales del transporte Negocios, Administración Mineralogía
Scopus EID
2-s2.0-85098120200
Source
Smart Innovation, Systems and Technologies
Resource of which it is part
Smart Innovation, Systems and Technologies
ISSN of the container
21903018
ISBN of the container
9783030575472
Sources of information: Directorio de Producción Científica Scopus