Mining Organizations Research Articles

An Integrated Quality Management System (QMS) Combined with AI/ML Guidelines for the Design and Development of Sustainable Products and Services for IT and Engineering R&D Companies Providing Solutions to Global Mining Organizations

As per Nature1 , AI may act as an enabler on 134 targets (79%) across all Sustainable Development Goals (SDGs), generally through technological improvement and by putting the right processes in place to ensure compliance with applicable regulations, certifications, and standards. As the sustainability and green tech market2 is expected to grow at 21% CAGR and will reach $73 billion by 2023, it's the best time for IT and Engineering R&D (ERD) companies to strengthen their internal processes to ensure that mining customers are served in a better way. The mining solutions are driven by tightening regulations, shifting customer preferences, and higher compliance requirements. Mining companies must act on many fronts, changing supply networks, manufacturing processes, and business models. Companies are also rethinking how their products are designed, engineered, and used, looking for ways to meet performance and quality requirements while using fewer resources across the full life cycle of everything they make/implement/use. India is a leading software exporter, and many companies are supporting global mining customers across the world. It’s now the right time for IT and ERD companies to ensure that mining customers are supported in this fast-changing business and regulatory environment. For sustainable product development/services, companies need to put a strong internal Quality Management System (QMS), ensuring better compliance and usage of AI/ML and tools and related standards/certifications. So, the researcher is proposing a conceptual integrated QMS to support sustainable product development/services which can be used by IT and ERD companies developing mining solutions. The proposed system will provide a high-level view of the required standards, procedures, guidelines, templates etc., which will be compliant with the global sustainability standards/certifications requirements.

Accounting talks – how operations managers nuance their frontstage performance with backstage negotiations

PurposeThis paper analyzes the ways in which accounting enables operations managers to enter and perform multiple roles in their interplay with organizational groups on the shop floor and in management, and the associated negotiations that operations managers have with “the self.”Design/methodology/approachUsing field-based studies in a mining organization, the study draws on Goffman’s backstage–frontstage metaphor to analyze how operations managers enter and perform several roles with the aid of accounting.FindingsThe findings show that accounting legitimizes operations managers when they cross organizational boundaries, as accounting gives them an “entry ticket” that legitimizes their presence with the group. Accounting further allows operations managers to embrace more than one role by “putting on a mask” to become an outsider or insider in relation to a group. In performing their roles, operations managers exhibit varying attributes and knowledge. Accounting can thereby be withheld from, or shared with, organizational groups. The illusion of accounting as deterministic presented frontstage is not necessarily negotiated that way backstage. Rather, alternatives discussed backstage often become silenced in the frontstage performance. The study concludes that operations managers cross boundaries, embrace roles and exert agency as they navigate with accounting, enrolling it into their performance simultaneously as they backstage reflect upon accounting and its role for their everyday work.Originality/valueThis study relies on the frontstage/backstage metaphor to visualize the discrepancies in how accounting is enrolled into role performances and how seemingly categorical fronts do not necessarily share that dominant position backstage.

Bankruptcy and bonity models use for the prediction of the mining organization development

Nowadays, due to the worldwide crisis, there is a necessity to predict and make a prognosis for the future development of the companies from the view of their financial health. Mainly mining organizations in Slovakia face a problem with creditworthiness when a number of companies declared bankruptcy. The paper has the ambition to predict development in chosen Slovakian mining organization through the most used bankruptcy and bonity models, which brings results, serving for comparing with companies in time and sector. The results were evaluated according to the individual areas of financial position that influenced the development the most. Such results are profitable for the sustainable development of mining organizations together with providing the energetic independence of the countries.

Data Mining Techniques Against Cyber Threats: A Review

Abstract Data mining is a technique used to extract useful data from existing databases. Those datasets are now being shared globally. Secure communication and confidentiality are required because data from multiple sources must be collected and stored in one central location. Data mining technology involves methods that rapidly and efficiently convert vast quantities of data into relevant insights adapted to the user's requirements. Unfortunately, the utilization of data mining expertise to acquire sensitive personal information poses a threat to individuals' privacy rights. This paper provides a review of the current techniques for preventing cyber risks and safeguarding privacy through the application of data mining. Data mining is used to examine, analyze, and figure out the structure and behavior of data mining organizations. Implementing data mining with optimal outcomes is a challenging task. In the past decade, academics have extensively studied many elements of data extraction. Therefore, it is crucial to provide published research evidence pertaining to this field. For this study, a thorough evaluation was carried out of more than thirty research papers sourced from reputable literature databases. The objective was to extract significant information regarding the field of data mining. The collected data was then used to address various study inquiries about cutting-edge extraction methodologies, data mining mechanisms in cyber dangers, data extraction procedures, algorithms, and evaluation techniques. This paper discusses various research areas and issues in data mining, serving as a valuable reference for researchers in this domain.

Maskuliniteter i förändring på mansdominerade arbetsplatser. Exemplet gruvindustrin

This article discusses how changes in male-dominated work are connected to changes in gender constructions in the workplaces. The discussion is based on results from research conducted 2001–2021, mainly qualitative empirical studies of mine work. Although the development of the mining industry will not be as technologically deterministic and rapid as the usual dystopian and utopian visions predict, our research shows that there has already been changes that have affected mine work and workplaces. These changes have challenged the old, gendered mining workplace cultures and the implementation of new technology and reorganisation initially met resistance in the workplace. Workplace cultures seemed to be lagging behind in their acceptance of technological and organizational changes. The resistance was shaped in relation to intertwined masculinities and miner identities linked to the old ‘macho masculin-ity’, a form of local hegemonic masculinity built upon overarching myths and discourses about both mining and rural communities. The subsequent changes of mining work resulted in new gender encodings of the new technology and the new spaces of work – which created new organisational gender boundaries and new forms of inequality. At the same time, there are new forms of masculinities and feminini-ties emerging in mining organizations, which can provide openings for gender equality. Although mine work continues to be male dominated, we can see that new places, new technology, improved work environment and increased gender equality seem to imply that it has become difficult to preserve the old (‘macho’) miner masculinity and to maintain the gender marking of mining work as male and the image of the miner as male. As of now, the ‘green transition’ and the acceleration of new digital technologies implemented in mine work is beginning to shape the industrial workplaces of northern Sweden. The discourses of “green” and “technological transformation” are permeated by gendered preconceptions, by some expected to reshape the masculine workplace of the mine. Yet, our conclusion is that transformation of gendered structures in mining is not foremost dependent of technological change. Rather, we have seen complex connections between gender, technology, work and place for these male-dominated industrial workplaces, including processes of both stability and change, suggesting that changes in workplaces does not only challenge but also reproduce and reconfigure gender-based preconceptions and social constructions of gender.

Understanding front-rear track effect of seabed mining vehicle and traction performance optimization

The dual-tracked deep-sea mining vehicles used for sea trials generally cannot meet the demands of large-scale manganese nodules production due to their inadequate load bearing and traction performance. Various seabed mining organizations have gradually started four-tracked mining vehicles as seabed traveling ore collection machines to meet the demand for enhanced tractive performance. A notable challenge encountered is the significant front-rear track effect observed when these vehicles navigate soft-cohesive sediments. Addressing this, our study introduces a novel design concept that involves setting the grouser heights with a deviation between the front and rear tracks, coupled with the development of a traction force-slip rate model inspired by this innovative approach. This model facilitates an in-depth analysis of the front-rear track effect, including phenomena such as deep sinkage and an increase in pitch angle experienced by vehicles on soft-cohesive terrains. It is calculated that the front and rear grouser deviation height of only 2 cm can improve the traction force by 21%. Utilizing the multi-body dynamics (MBD) method, we validated the effectiveness of this grouser height adjustment in mitigating front-rear track effects, demonstrating its potential to reduce sinkage by at least 30 mm and pitch angle by at least 0.3 degrees, thereby guiding the optimization strategy. Finally, through optimization simulation, we present optimized track structural parameter sets suitable for three types of seabed pavement, concluding that for soft silty soil, saturated high cohesive soil, and saturated soft sandy soil, the grouser deviation heights should be approximately 5.3, 4.1, and 2.0 cm, respectively. After applying the optimized track structural parameter sets, traction performance evaluation indexes, such as traction force and the traction force-disturbing area ratio, improved by at least 23.4% and 3.3%, respectively. Meanwhile, static sinkage was reduced by at least 21.4% across the three types of pavements.

Process Mining Organization (PMO) Based on Machine Learning Decision Making for Prevention of Chronic Diseases

This paper discusses a methodology to improve the prevention processes of chronic diseases such as diabetes and strokes. The research motivation is to find a new methodological approach to design advanced Diagnostic and Therapeutic Care Pathways (PDTAs) based on the prediction of chronic disease using telemedicine technologies and machine learning (ML) data processing techniques. The aim is to decrease health risk and avoid hospitalizations through prevention. The proposed method defines a Process Mining Organization (PMO) model, managing risks using a PDTA structured to prevent chronic risk. Specifically, the data analysis is focused on stroke risk. First, we applied and compared the Random Forest (RF) and Gradient Boosted Trees (GBT) supervised algorithms to predict stroke risk, and then, the Fuzzy c-Means unsupervised algorithm to cluster information on the predicted results. The application of the proposed approach is able to increase the efficiency of healthcare human resources and drastically decrease care costs.

Effect of Current Ratio, Debt To Equity Ratio and Debt To Asset Ratio on Return On Assets in Mining Companies in the Coal Sub-Sector : Companies Listed on the IDX in 2018-2021

Lailia Rohmawati Effect of Current Ratio, Debt To Equity Ratio and Debt To Asset Ratio on Return On Assets in Mining Companies in the Coal Sub-Sector. Thesis Management Studies Program. Strata 1. Islamic University of Batik Surakarta. 2023. In the coal industry world with intense competition, it causes competition to develop and involves the importance of the organization's monetary exhibition. Concentrating on the organization's monetary performance is vital in terms of solvency, liquidity and solvency ratios. This study expects to decide the impact of CR, DER and DAR, on ROA in coal mining companies. It is hoped that it will provide knowledge about the impact of CR, DER, and DAR on ROA. This research is in the form of quantitative descriptive with secondary data types. the population of coal area mining organizations recorded on the IDX in 2018-2021 totaled 23 companies. Samples with purposive sampling amounted to 10 mining companies in the coal sector. The data collection method uses the annual financial report data documentation method. tested by multiple linear regression analysis. CR has signifficant negatif impact, DER has signifficant negatif impact, DAR has signifficant positif impact on ROA in Mining Companies in the Coal Sector. The consequences of the Assurance Coefficient Investigation got 83.5% where ROA can be made sense of by the free factors CR, DER, and DAR. Furthermore, can develop this research using other independent variables considering that there are still other independent variables such as Asset Turnover, EPS, TATO and other variables that can affect ROA.

Beyond extraction: navigating HRM challenges in mining organisations

Beyond extraction: navigating HRM challenges in mining organisations

ПЕРСПЕКТИВЫ ОРГАНИЗАЦИИ, РЕГУЛИРОВАНИЯ И НАЛОГООБЛОЖЕНИЯ МАЙНИНГА В РОССИИ

Сry ptocurrency mining in Russia is not regulated by current legislation today, but the authorities recognize the existence of a business in this area that needs to be legalized. According to the scientific analysis, a low level of development of cryptocurrency mining organization, regulation and taxation issues was revealed. The international experience in this area has been summarized, such activities are generally prohibited, but there are countries where both regulation and taxation are carried out. The author has developed a model for the organization, regulation and taxation of cryptocurrency mining in the Russian Federation using the example of the first cryptocurrency – bitcoin, which involves embedding it into the current legal system without making significant changes in order to reduce time and administrative costs.

Перспективы развития проектов угледобывающей промышленности Арктической зоны Российской Федерации

The article emphasizes that the development of projects in the coal mining industry is difficult, and first of all,due to rising prices for coal insurance in transit, increasing commercial costs, and logistics imperfections. Russian coal producers strive to increase the quality of finished products and their most efficient marketing. This behavioral attitude to the extraction, processing and enrichment of coal predetermined the position of the organizers of productionas an increase in competitive advantages with a comprehensive upgrade of the material and technical base.Taking into account the specifics of the oligopolistic market that ensures the sale and sale of coal, the proposed coefficients of the economic potential of coal mining organizations consider revising as standards in further research and in practice. The use of the studied coefficients is economically justified, since not all coal enterprises strivefor a comprehensive assessment due to differences in the assessment of energy efficiency, innovation activity, solvency and asset turnover.

ADVANCING IN GLOBAL VALUE CHAINS: MINING PROSPECTS IN ARMENIA

Global value chains have emerged as a critical prism for understanding the dynamics of global production and trade. The purpose of this article is to assess the stability and integration of the RA mining industry into global value chains. To achieve this goal, the article sets and solves problems, the main ones of which are the following: analyze the current state of the mining industry in Armenia, study the main indicators characterizing the sphere, as well as the structure of exports of mining products, analyze and evaluate the activities and impact of leading mining organizations on the integration of global value chains.

Process Mining Organization (PMO) Modeling and Healthcare Processes

Process mining organizatioQn (PMO) is an innovative approach based on artificial intelligence (AI) decision making suitable for designing healthcare processes for human resource (HR) organizations. The proposed work suggests some examples of PMO-based Business Process Modeling and Notation (BPMN) workflows by highlighting the advances in HR management and in risk decrease according to healthcare scenarios. Specifically proposed are different examples of “TO BE” process pipelines related to an upgrade of the organizational healthcare framework, including digital technologies and telemedicine. Important elements are provided to formulate HR management guidelines supporting PMO design. The proposed BPMN workflows are the result of different consulting actions in healthcare institutions based on the preliminary mapping of “AS IS” processes highlighting bottlenecks and needs in HR organization. A pilot experimental dataset is used to show how it is possible to apply AI algorithms providing organization corrective actions. The paper is mainly focused on discussing some validated BPMN models managing HR in the healthcare sector. The methodology is based on the application of the BPMN approach to deploy human resource organizational processes. The results show AI data-driven workflows adopted in healthcare and examples of AI fuzzy c-means outputs addressing organizational actions.

Safety and risk management of Chinese enterprises in Gabon's mining industry

The mining sector is booming due to the market and worldwide demand increase. The use of novel industrial processes and equipment, growth in trained personnel, and growth in managerial skills go hand in hand with the need to increase productivity in mining areas. These improvements make the mining industry one of the world's riskiest and most unstable. Several large-scale mining projects have failed due to a failure to recognize or underestimate risks, even when the industry uses risk management methods appropriately. To increase decision-making accuracy and protect mining organizations, risk mitigation of development work should be pursued. Safety and risk assessment is vital in the mining industry. The paper evaluates mining industry risks and safety. This research used Gabon's mining sector. This research included multiple dataset-gathering and interpretation methods. This study shows how to find a variety of recognized risks and uncertainty that have not been considered in any methodical or systemic approach to mining sector risk and safety monitoring. This research organizes risks hierarchically to show their consequences and propensity for each stage.

A current affair: worker perceptions of noise exposure and occupational hearing loss in Australian coal mines.

The objective of the online survey was to determine worker attitudes towards, perceptions on hearing loss, and management of workplace noise; and to identify barriers within current strategies that prevent effective management of hearing health in Australian mines. This cross-sectional study utilized a modified survey design, initially designed for use by Safe Work Australia for a broader study published in 2010. The survey questionnaire was made available online to volunteer participants, recruited with the assistance of State and National Health and Safety, and mining organizations. Volunteer participants were required to be proficient in English, be employed by an Australian underground or open cut mine, including coal processing plants; or work as a contractor on one of the specified mine sites. All mining employees, regardless of occupation, job title, and occupational hearing loss classification or status, were invited to complete the questionnaire. Almost 60% of respondents indicated that they had high noise exposure for than 10 yr or more, and have some trouble hearing, mostly associated with infrequent tinnitus. Nearly 71% of these workers believe that the noise control strategies in their workplaces are effective, but this mostly refers to the use of hearing protection devices. The results indicate that general knowledge on the cause and effect of noise exposure in the workplace is well understood. However, due to the long latency associated with the development of noise-induced hearing loss (NIHL), there is an issue urgency in terms of risk management. It is surprising that most of the respondents recommended more inspections and administrative controls, especially since most respondents were health, safety, and environment (HSE) professionals. HSE professionals should be advocating for higher order, more permanent solutions, and not purely administrative controls and personal protective equipment. These findings raise the question of whether there is a multifaceted working-culture issue that needs to be addressed, in combination with higher order control implementation.

A Comparative Study of Gender Disparities in Geoscience and Mining in Mongolia

Mongolian women enjoy equal rights and actively participate in various sectors of the national economy, including the mineral and mining industry. The Mongolian University of Science and Technology (MUST), the largest university in Mongolia, plays a crucial role in preparing engineers for the Mongolian industry. Within MUST, the School of Geology and Mining Engineering (SGME) stands out as one of the largest schools, boasting a dedicated team of 136 staff members. Impressively, 92 of these staff members are female, constituting a remarkable 67.65% of the total staff. The directorial board of SGME, consisting of 12 members, also demonstrates a noteworthy level of gender diversity, with 5 of its members being female. This represents a proportion of 41.67% and highlights the inclusion of women in decision-making positions. Additionally, it is worth noting that the Geology and Hydrogeology department, one of the five departments within the School, is led by a capable female leader. However, despite the encouraging representation of women among staff and in leadership roles, there is a noticeable disparity in the enrollment and graduation rates of students at SGME. Currently, these rates stand at only about 20–24 percent, indicating the need for further efforts to encourage and support female students in pursuing geology and mining engineering studies. Outside of academia, within the mining industry, the Oyu Tolgoi large-scale mine, which in 2022 employed 20,328 workers, faces a significant gender imbalance. Out of this workforce, only 3577 are women, comprising a mere 18% of the total employees, while the remaining 82% are men. Among the 2997 total employees in the open pit mine, 737 women are employed in various roles, including 66 engineers and technicians, with the remaining 671 in other positions. In the newly opened underground mine, the total number of women employees stands at 2840, including 248 engineers and technicians and 2592 in other roles. Furthermore, on the Board of Directors, there are only 2 women out of a total of 23 managers, and a mere 104 women hold positions as senior staff and superintendents. A comparative analysis between Asia and other global regions reveals that female employment in Mongolia’s mining sector in general, at 18%, closely aligns with Oceania’s rates (17%) and surpasses those of both the broader Asian region (13%) and South America (11%). Addressing these statistical imbalances is crucial to improving gender equality in geoscience and mining. Historically, the mining industry has been male-dominated, but women-led professional geoscience and mining organizations in Mongolia play a vital role in promoting the recruitment, retention, and advancement of women in these industries. Recognizing the significance of gender diversity, these organizations strive to increase the representation of women in leadership positions. Women in leadership bring unique perspectives that contribute to well-rounded decision-making processes within organizations. By acknowledging the importance of gender dynamics, promoting inclusivity, and supporting the professional growth of Mongolian women in geoscience and mining, the overall development and sustainability of these sectors in the country will be greatly enhanced.

Factors influencing sustainable outsourcing relationship: An empirical investigation into the Indian coal mining industry

Developing a sustainable client–provider relationship in an outsourcing arrangement is important. This study attempts to identify the effects of unexplored antecedents of opportunism in an outsourcing engagement and, subsequently, the significance of opportunism in relation to a sustainable relationship. A structural equation modelling (SEM) approach has been deployed for the empirical evaluation of the hypothesised relationships between the constructs using responses obtained from the executives of the Indian coal mining organisation (ICMO). Results portray the significance of each antecedent, i.e., measurement problem, qualification of service provider, and service provider lock-in in view of undesirable outcomes in an outsourcing relationship.

Safety Initiatives in Support of Safety Culture Development: Examples from Four Mining Organisations

Having seen significant improvements to accident rates in the last 40 years, companies in the Swedish mining industry now show a greater focus on the development of safety cultures throughout their organisations and workplaces. However, there is a lack of research examining the different safety initiatives and strategies practiced in the industry today. This study explores the potential influence and consequences such initiatives may have on the development of safety cultures in the Swedish mining industry. Twelve interviews with experts on safety initiatives from four different Swedish mining organisations were conducted and analysed in a process based on qualitative thematic analysis to identify notable connections to safety culture development. The results of these interviews highlight proclivities in the implementation and use of safety initiatives such as subjects of focus, methods and desired effects. This enables the interpretation of the conceptualisation and methods for the development of safety culture in these organisations based on their approaches to safety development. We believe the results of this study can serve as support for discussions on safety culture development in the Swedish mining industry, and be of interest for international mining industries, in addition to approaches to research in this field. However, we also believe it is important to emphasise the opportunities to approach safety culture in mining from different perspectives than those common today.

Lignite industry of Russia: peculiarities of the development concept

A long-term development concept for Russia’s lignite industry has been presented, developed based on a comprehensive evaluation of active coal mining companies. The economic indicators of 48 Russian companies engaged in lignite mining were analyzed, both nationally and regionally, allowing for specific provisions of the concept to be formulated accounting for the spatial development of industry companies.The relevance of this work is due to the high strategic significance of the lignite industry for the country’s economy, which is in ensuring energy security for the Far East and Siberia on a long-term perspective of up to the depletion of explored lignite reserves in 1137 years with the current level of mining. Despite the high strategic importance of the industry, there is a risk of a decrease in its role in the country’s economic development, as the industry has faced several internal and external challenges. These challenges require a quick response to prevent potential damage they may cause.The results of the analysis of the current state of Russia’s lignite industry are presented in terms of the distribution of explored lignite reserves, the territorial localization of active coal mining organizations, their production and economic conditions, and their associations with the external environment. Based on the results of the analysis, a concept and principles for industry development have been formulated. The concept involves increasing lignite mining in the Far Eastern Federal District and maintaining the volume of mining in the Siberian Federal District, achieved through creating necessary conditions for economic development, including diversification of products produced from lignite.

Effect of Current Ratio, Debt to Equity Ratio and Debt to Asset Ratio on Return on Assets in Mining Companies in the Coal Sub-Sector

In the coal industry world with intense competition, it causes competition to develop and involves the importance of the organization's monetary exhibition. Concentrating on the organization's monetary performance is vital in terms of solvency, liquidity and solvency ratios. This study expects to decide the impact of CR, DER and DAR, on ROA in coal mining companies. It is hoped that it will provide knowledge about the impact of CR, DER, and DAR on ROA. This research is in the form of quantitative descriptive with secondary data types. the population of coal area mining organizations recorded on the IDX in 2018-2021 totaled 23 companies. Samples with purposive sampling amounted to 10 mining companies in the coal sector. The data collection method uses the annual financial report data documentation method. tested by multiple linear regression analysis. CR has signifficant negatif impact, DER has signifficant negatif impact, DAR has signifficant positif impact on ROA in Mining Companies in the Coal Sector. The consequences of the Assurance Coefficient Investigation got 83.5% where ROA can be made sense of by the free factors CR, DER, and DAR. Furthermore, can develop this research using other independent variables considering that there are still other independent variables such as Asset Turnover, EPS, TATO and other variables that can affect ROA.
 Keywords: CR, DER, DAR, ROA