Abstract

Enhancement of productivity optimization is steadily gaining the priority in mining companies especially in the underground coal mining industry which faces a daunting task to balance marginal profit generation with a comparatively high cost of production, volatile market price and rapid grade variation. This paper is aimed to analyze some of the causal factors both technical and site specific which are directly or indirectly impacting the productivity of the longwall coal mining system such as downtime of equipment system in longwall panel, overloading of conveyors and bin, preventive maintenance, gas management practices and injury severity rate. Structured Equation Modelling (SEM) was used to study the causal relationships between the above-mentioned factors and mine productivity. The equipment considered for analysis included shearer, armored face conveyor, crusher, bridge stage loader, chock supports, main gate drive, gate conveyor, hydraulic pumps and crusher. SEM was applied to relate the correlations existing among these causal variables in order to assess their direct or indirect impact on mining productivity. Based on the data extracted over a period of 10 months which included the extraction of 2 longwall panels, the study revealed a significant negative causal relationship between injury severity rate (p < 0.01) and equipment downtime (p = 0.001), with mine productivity. However, preventive maintenance delay time, gas management delay time and conveyor overloading delay time were found to have an insignificant direct influence on mine productivity but indirectly modify it through a significant mediator relationship with equipment downtime. This information would assist mine management to take proper preventive measures.

Highlights

  • Longwall mining has proved to be an efficient option for underground coal extraction globally due to its high rate of production, inherent scope of mechanization [1] and safe working conditions for the mine workers

  • The latent variable maintenance inefficiency was found to be significantly affected by the preventive maintenance delays (λ2 = 0.480, p = 0.022) and gas management delays (λ3 = 0.713, p = 0.043)

  • The Structured Equation Modelling (SEM) has provided a detailed insight regarding the dependency of mine productivity on the operational and technical factors existing at the mine site

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Summary

Introduction

Longwall mining has proved to be an efficient option for underground coal extraction globally due to its high rate of production, inherent scope of mechanization [1] and safe working conditions for the mine workers. The causal relationships of the factors with mine productivity have been analyzed through Structural Equation Modeling (SEM). It is a series of statistical methods that permits complex relationships between one or more independent variables and dependent variables. If either of two equipments exceeds its maximum capacity, the longwall system automatically trips until the coal gets displaced from the out-bye belts and the equipment returns to its operational state

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