scholarly journals Factor Model of Labor Productivity in the Coal Industry

2021 ◽  
Vol 2020 (4) ◽  
pp. 557-567
Author(s):  
Evgeny Kharlampenkov ◽  
Irina Kudryashova
Keyword(s):  
Information Technologies ◽  
System Analysis ◽  
Underground Mining ◽  
Multiplicative Model ◽  
Coal Industry ◽  
Open Pit ◽  
Practical Significance ◽  
Open Pit Mining ◽  
Labor Costs ◽  
Labor Efficiency

The article introduces the problem of increasing the labor efficiency at Russian coal enterprises. Using the case of Kuzbass, the authors examined factors that affect labor efficiency in coal industry, e.g. new equipment and mining technologies, qualified personnel, robotics, new quality management and information technologies, etc. They used a multiplicative model to estimate the key factors and made forecast of its dynamics up to 2035 for open and underground mining. The authors believe that effective models of mining enterprise management are impossible without a radical increase in labor efficiency, since it indicates labor costs in the production of the final product per unit of time. Labor efficiency in the open-pit mining is higher, as it has lower labor costs and offers a simple and safe way of organizing labor processes. However, new equipment can increase the efficiency of underground mining. Underground mines also demonstrate a faster growth of labor efficiency than open pits. The authors justified the need to assess labor efficiency using a system analysis and a multiplicative model. As global coal market continues to deteriorate, mining labor efficiency can still maintain positive long-term rates of growth if it manages to optimize deliveries and increase the labor efficiency at the federal level. The research possesses considerable theoretical and practical significance as it offers a solution for of the most relevant challenges.

scholarly journals Factor Model of Labour Productivity in the Coal Mining Industry

2020 ◽  
Vol 174 ◽  
pp. 01033
Author(s):  
Evgeniy Kharlampenkov ◽  
Irina Kudryashova ◽  
Natalia Zakharova ◽  
Anastasiya Loginova
Keyword(s):  
Coal Mining ◽  
Information Technologies ◽  
System Analysis ◽  
Factor Model ◽  
Labour Productivity ◽  
Practical Importance ◽  
Mining Industry ◽  
Multiplicative Model ◽  
Coal Industry ◽  
Enterprise Management

In the article the problem of increasing labour productivity at Russian coal-mining enterprises is considered. The authors note the impossibility of intensive development of the coal industry, the formation and development of effective models of industrial enterprise management without a radical increase in labour productivity, which is an indicator of the level of efficiency of human labour costs in the production of the final product per unit time. On the example of coal enterprises in the Kemerovo region, the authors investigate the dynamics of coal production and the level of labour productivity depending on the method of production: underground or open. The authors justify the need to assess labour productivity on the basis of system analysis and using a multiplicative model. On the example of the Kuzbass coal industry, the authors investigated labour productivity in the context of assessment of influence of major factors such as the introduction of new equipment and mining technologies, the formation of qualified personnel, robotics basic processes of coal mining, introduction of system of quality management and information technologies, etc. Using a multiplicative model evaluation of the labour productivity it’s obtained estimates of the influence of these factors on the change in the level of productivity. Thus, the article solves one of the actual problems of today’s reality and has considerable theoretical and practical importance.

scholarly journals Development Status of Coal Mining in China

2021 ◽  
Author(s):  
liu xinjie ◽  
Li Lianghui ◽  
Yang yingming
Keyword(s):  
Coal Mining ◽  
Underground Mining ◽  
Coal Mines ◽  
Production Capacity ◽  
Coal Industry ◽  
Open Pit ◽  
Open Pit Mining ◽  
Development Status ◽  
Average Production ◽  
Speed Up

Abstract As a controllable active resource in China, coal mining is facing the transition from output to quality. Base d on the total mining production and average capacity, the current situation and level of coal mining at three scales of mine, city and province is analyzed , data support for the layout of sustainable mining development and the optimization of output is provided. The results show that China's coal is mainly mined by underground mining, accounting for 87%, with an average production capacity of 0.93 million tons. Open pit mining accounts for 13%, with an average production capacity of 5.73 million ton s. S o t he average production capacity of open pit and underground workers is 1.045 million tons, with 1,181 coal mines capacity lower than 0.3 million tons, accounting for 35% of the total coal mines, contributing only 4% to their output. They are distributed in about 48 cities in 6 provinces, seriously restricting the green coal mining. The coal industry should speed up the reduction of small coal mines in key provinces and cities, eliminate outdated product ion capacity in the central region, increase the speed and proportion of coal resources moving westward, and promote high quality development of coal mining.

scholarly journals The Analysis of Conditions of Hydraulic Backhoes Use in the Coal-Bearing Zones at Kuzbass Open Pits

2018 ◽  
Vol 41 ◽  
pp. 01027
Author(s):  
Andrew Strelnikov ◽  
Michal Radek ◽  
Markus Stolz ◽  
Ralf Rosenberg
Keyword(s):  
Sharp Increase ◽  
Western Siberia ◽  
Coal Industry ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Operations ◽  
Market Relations

The period of open pit mining development in Kuzbass (Western Siberia, Russia) until the mid-1990s was characterized by the application of rope and hydraulic shovels in coal-bearing zones, the work of which is not effective enough due to a decrease in productivity in mining operations, high losses and dilution of coal. The supply of this type of excavators was fully provided by Russian excavators' manufacturers. With the transition to market relations since the early 90's, in the coal industry of the Kuzbass two interrelated phenomena have occurred. First, the restructuring of coal industry and the massive privatization of licensed development of explored deposits forced a sharp increase in the open pit construction (from 24 in the early 1990's to 62 now). Secondly, the bankruptcy of excavators' manufacturers led to a reduction in the volume of production of domestic rope shovels. So the problem of defining the conditions of hydraulic backhoes use in the coal-bearing zones became very important.

Strategic mining options optimization: Open pit mining, underground mining or both

2016 ◽  
Vol 26 (6) ◽  
pp. 1065-1071 ◽  
Author(s):  
Eugene Ben-Awuah ◽  
Otto Richter ◽  
Tarrant Elkington ◽  
Yashar Pourrahimian
Keyword(s):  
Underground Mining ◽  
Open Pit ◽  
Open Pit Mining

CURRENT STA TE OF THE RESOURCE BASE OF COAL MINING INDUSTRY IN KUZBASS

2019 ◽  
Vol 4 (1) ◽  
pp. 177-186
Author(s):  
S.V. Shaklein ◽  
◽  
M.V. Pisarenko ◽  
Keyword(s):  
Coal Mining ◽  
Mining Industry ◽  
Coal Industry ◽  
Raw Material ◽  
Open Pit ◽  
Open Pit Mining ◽  
Material Base ◽  
Resource Base ◽  
Production Technologies ◽  
Underground Method

Analysis of the grade composition of the mineral resource base of the distributed and undistributed subsoil Fund as of 01.01.2018 showed a decrease in reserves of coal intended for open pit mining. In the future, the production of a number of technological grades of coal (gas fat (GZh), fat (Zh), coking fat (KZh), coking (K), coking caking low-metamorphized (KCN), coking caking (KC), lean caking (OC), low caking (CC) is possible only by underground method. The expansion of the raw material base of the Kuzbass coal industry and the support of coal production volumes, primarily by the technological of grades coking fat (KZh), coking (K), coking caking (KC), lean caking (OC), low caking (CC) involves exploration, the use of unconventional production technologies and tax preferences for coal mining enterprise

Numerical Simulation Analysis on the Collapse of Slope in Iron Mine

2014 ◽  
Vol 926-930 ◽  
pp. 593-596
Author(s):  
Fang Wang ◽  
Chong Shi ◽  
Kai Hua Chen ◽  
De Jie Li ◽  
Ke Han
Keyword(s):  
Numerical Simulation ◽  
Shear Failure ◽  
Safety Management ◽  
Simulation Analysis ◽  
Underground Mining ◽  
Tensile Failure ◽  
Open Pit ◽  
Open Pit Mining ◽  
Roof Fall ◽  
Rock Movement

The process of open-pit mining can lead to high slopes in iron mines, and natural slopes should be rebuilt by the method of roof fall as the exploitation style turns from open-pit mining to the underground mining. So the slope can be steep, deep and may has the characteristics of collapse. It is difficult to describe the stabilization of the mining slope by a conventional safety factor method. Through the numerical simulation of underground mining process, this paper analyzes the result of distortion stress and rock movement rupture range. Studies have shown that the failure mode is dominated by tensile failure as a pattern of collapse and few is dominated by shear failure. The failure zone is controlled by rock mass parameters and structures. The results can be helpful for the proposition of exploitation program and safety management design.

scholarly journals Autonomous mining dump trucks

2020 ◽  
Vol 59 (3) ◽  
pp. 123-130
Author(s):  
Mark Leont’evich KHAZIN ◽  
Keyword(s):  
Human Error ◽  
Human Factor ◽  
Mining Industry ◽  
Developed Countries ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Equipment ◽  
Labor Costs ◽  
Mining Company ◽  
Dump Trucks

Research aim is to reduce the costs of a mining company and the number of accidents by increasing the efficiency of the use of equipment and eliminating the human factor. Research methodology: analysis of possible areas of application of autonomous mining dump trucks and problems associated with this process. Results. Mining is carried out in difficult mining conditions, which makes the presence of people in the working area of the quarry problematic. Mining companies are looking to cut costs and make jobs safer, especially in developed countries with high labor costs. The use of dump trucks with remote and autonomous control systems in open pits makes it possible to increase the safety and efficiency of open pit mining, reduce the influence of the human factor and increase the productivity of mining machines. While human drivers can do their job well, autonomous trucks can drive the exact route every time without getting bored, tired or resting. The car does not need clean air, good visibility and a lunch break. At the same time, mining autonomous dump trucks can be used in remote-controlled, semi-autonomous and autonomous modes, and the driver in them is replaced by a central controller and a local self-management system. The robot does not get tired and does not make mistakes, it can work 24 hours a day. Eliminating human error and regular training improves safety and increases the productivity of a mining operation. Such companies as BelAZ, Komatsu and Caterpillar are the leaders in the production of autonomous mining dump trucks. Conclusions. The introduction of autonomous transportation allows the mining company to actually reduce its operating costs. While autonomous technologies are still in their infancy, they continue to evolve. Complex solutions will be of great interest - centralized systems that allow working with a fleet of autonomous vehicles and other mining equipment. Therefore, this direction today is the most developing and promising, and the use of autonomous dump trucks in the mining industry is no longer a distant prospect, but a reality of today

scholarly journals Optimal Extraction Methods Selection for Kakosa South Copper Ore Deposit Applying Modified Technique for Order of Preference by Similarity to Idea Solution Model

2019 ◽  
Vol 9 (1) ◽  
pp. 127-132
Keyword(s):  
Fuzzy Numbers ◽  
Underground Mining ◽  
Open Pit ◽  
Open Pit Mining ◽  
Extraction Techniques ◽  
Modified Technique ◽  
Copper Ore ◽  
Ore Deposit ◽  
Transition Depth ◽  
Sublevel Stoping

Kakosa South copper deposit is located about 450km northwest of Lusaka between Chingola and Chililabombwe. A comprehensive study of Kakosa South deposit was carried out. In Kakosa area the footwall aquifer rocks comprising sandstone and conglomerates which are thin and as such are not expected to represent major aquifers. Copper mineralisation is found in the upper quartzite and ore-shale. The inclination of the deposit ranges from 250 up to 350 . The hangingwall formations above the upper quartzite are represented by a sequence of dolomite and shale formations. Based on Kakosa geotechnical analysis and rock mass classification, fuzzy TOPSIS approach was employed for the selection of optimal extraction techniques. FTOPSIS approach has precise and specific quantities which are used in order to establish criteria and option weights. Triangular fuzzy numbers were determined to represent semantic variables. The fuzzy numbers for Kakosa South parameters were used as input data in the decision making model and matched against the criteria required for the mining method. Applying FDM model, extraction techniques were ranked. The results indicated that open pit extraction technique was ranked first with 78.90 scores followed by sublevel stoping with 66.88 scores. It is concluded that the Kakosa South copper ore deposit can optimally be extracted by open pit mining up to transition depth and transit from open pit mining to underground mining employing sublevel stoping.

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