Digitalization has revolutionized one of the most significant industries in the modern world, which is education. It has proven to be a successful and renowned strategy throughout the entire spectrum of the education industry. It has dissolved the distinction between physical and virtual distance and integrated more scientific methods for instructors to teach pupils. In order to select the most relevant studies in the digitalization field, bibliometric analysis was used, with the principal source of scientific articles selected being the academic platform Scopus. The content of 3836 research articles has been taken into consideration since 2019 and 2023. The search documents related to the “digitalization” issue are in title, abstract, and keywords. In order to highlight the structure of the scientific field, we used a content analysis, inspecting the most common words and the relationships between words. Additionally, a network of co-occurrences was taken into account. The analysis was performed using the WOSviever program. In the next part of the research, the term “digitalization” was examined in more detail. The Scopus search engine uses filters, including the terms “digitalization,” “higher,” and “education,” but is limited to key words. The content of 104 research articles has been taken into consideration since 2019 and 2023. The research results showed that the fields of technology, education, and management provide the theoretical basis for research on the digitalization of higher education. The findings also demonstrate the topic’s interdisciplinary character (as seen by publications published in several fields) and its strong relationship to concepts like online learning, digital transformation, and sustainable development. Based on the literature analysis, it can be concluded that University 4.0 will go to the smart fully digital University (University 5.0), will take care of aspects of sustainable development, and will develop teachers’ soft skills, especially emotional intelligence.
{"title":"The Era of Digitalization in Education where do Universities 4.0 Go?","authors":"J. Rosak-Szyrocka","doi":"10.2478/mspe-2024-0006","DOIUrl":"https://doi.org/10.2478/mspe-2024-0006","url":null,"abstract":"\u0000 Digitalization has revolutionized one of the most significant industries in the modern world, which is education. It has proven to be a successful and renowned strategy throughout the entire spectrum of the education industry. It has dissolved the distinction between physical and virtual distance and integrated more scientific methods for instructors to teach pupils. In order to select the most relevant studies in the digitalization field, bibliometric analysis was used, with the principal source of scientific articles selected being the academic platform Scopus. The content of 3836 research articles has been taken into consideration since 2019 and 2023. The search documents related to the “digitalization” issue are in title, abstract, and keywords. In order to highlight the structure of the scientific field, we used a content analysis, inspecting the most common words and the relationships between words. Additionally, a network of co-occurrences was taken into account. The analysis was performed using the WOSviever program. In the next part of the research, the term “digitalization” was examined in more detail. The Scopus search engine uses filters, including the terms “digitalization,” “higher,” and “education,” but is limited to key words. The content of 104 research articles has been taken into consideration since 2019 and 2023. The research results showed that the fields of technology, education, and management provide the theoretical basis for research on the digitalization of higher education. The findings also demonstrate the topic’s interdisciplinary character (as seen by publications published in several fields) and its strong relationship to concepts like online learning, digital transformation, and sustainable development. Based on the literature analysis, it can be concluded that University 4.0 will go to the smart fully digital University (University 5.0), will take care of aspects of sustainable development, and will develop teachers’ soft skills, especially emotional intelligence.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140429787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environmental management systems (EMS) are essential in promoting sustainable practices and mitigating the adverse effects of human activities on the environment. As technology continues to advance, there is an increasing opportunity to utilize advanced technologies to improve environmental management systems. This article examines the potential of different advanced technologies, such as artificial intelligence (AI), blockchain, big data, and the Internet of Things (IoT), within the context of environmental management systems. This article intends to offer valuable insights to researchers, practitioners, and policymakers by examining the potential uses of AI, blockchain, big data, and IoT in environmental management systems. The goal is to demonstrate how these advanced technologies can be leveraged to enhance sustainability, boost environmental performance, and yield favourable environmental results across different sectors and industries.
{"title":"Potential of Advanced Technologies for Environmental Management Systems","authors":"Mariya Sira","doi":"10.2478/mspe-2024-0004","DOIUrl":"https://doi.org/10.2478/mspe-2024-0004","url":null,"abstract":"\u0000 Environmental management systems (EMS) are essential in promoting sustainable practices and mitigating the adverse effects of human activities on the environment. As technology continues to advance, there is an increasing opportunity to utilize advanced technologies to improve environmental management systems. This article examines the potential of different advanced technologies, such as artificial intelligence (AI), blockchain, big data, and the Internet of Things (IoT), within the context of environmental management systems. This article intends to offer valuable insights to researchers, practitioners, and policymakers by examining the potential uses of AI, blockchain, big data, and IoT in environmental management systems. The goal is to demonstrate how these advanced technologies can be leveraged to enhance sustainability, boost environmental performance, and yield favourable environmental results across different sectors and industries.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140430167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Оleksii Goryk, A. Buchynskyi, Lyubomyr Romanyshyn, S. Nurkusheva, M. Bembenek
The innovative activity of machine-building enterprises is the main guarantee of their sustainable and effective development, which makes it possible to compare technical and technological innovation in the production of products in different periods and between different enterprises in points. Quantitative numerical assessment of the innovative component of the enterprise is a prerequisite for developing a strategy for further effective production management. After all, in addition to financial performance indicators, technical innovations play a decisive role in the modern market environment, although little attention is paid to them. In the work, based on organizational and technical modeling and logical methods of exploratory evaluation, the author’s method of establishing a quantitative comparative level of innovative activity of a machine-building enterprise was built. The developed methodology for evaluating the innovative component of machine-building production is based on three basic criteria: mastering new machines, mastering technological processes, and the effectiveness of implementing design and technological solutions. The first two criteria take into account the nomenclature, novelty, the risk of introducing a new solution and the technical level of products. To determine these criteria, several levels of novelty of machines and technologies are proposed and the author’s understanding of their content is given. The third criterion, the effectiveness of implementation, is evaluated by indicators that take into account the intensity of adjustments at various stages of design. The result of the study is a method of comparative assessment of the level of innovative components of the development of machine-building production with a set of indicators that provide professionals with a tool for monitoring the processes of introducing new equipment and technologies into production and the subsequent formation of an effective innovative strategy for the development of a machine-building enterprise. The capability of the proposed methodology is presented in the given example of evaluating the innovative development (state) of an abstract machine-building enterprise.
{"title":"Evaluation of the State of Innovative Activity of Machine-Building Enterprise","authors":"Оleksii Goryk, A. Buchynskyi, Lyubomyr Romanyshyn, S. Nurkusheva, M. Bembenek","doi":"10.2478/mspe-2024-0001","DOIUrl":"https://doi.org/10.2478/mspe-2024-0001","url":null,"abstract":"\u0000 The innovative activity of machine-building enterprises is the main guarantee of their sustainable and effective development, which makes it possible to compare technical and technological innovation in the production of products in different periods and between different enterprises in points. Quantitative numerical assessment of the innovative component of the enterprise is a prerequisite for developing a strategy for further effective production management. After all, in addition to financial performance indicators, technical innovations play a decisive role in the modern market environment, although little attention is paid to them. In the work, based on organizational and technical modeling and logical methods of exploratory evaluation, the author’s method of establishing a quantitative comparative level of innovative activity of a machine-building enterprise was built. The developed methodology for evaluating the innovative component of machine-building production is based on three basic criteria: mastering new machines, mastering technological processes, and the effectiveness of implementing design and technological solutions. The first two criteria take into account the nomenclature, novelty, the risk of introducing a new solution and the technical level of products. To determine these criteria, several levels of novelty of machines and technologies are proposed and the author’s understanding of their content is given. The third criterion, the effectiveness of implementation, is evaluated by indicators that take into account the intensity of adjustments at various stages of design. The result of the study is a method of comparative assessment of the level of innovative components of the development of machine-building production with a set of indicators that provide professionals with a tool for monitoring the processes of introducing new equipment and technologies into production and the subsequent formation of an effective innovative strategy for the development of a machine-building enterprise. The capability of the proposed methodology is presented in the given example of evaluating the innovative development (state) of an abstract machine-building enterprise.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140430919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Organizing manufacturing work in a way that minimizes delays in individual production operations is a key factor in a highly competitive market. One of the key factors to prevent delays is their correct identification and proper definition of methods to reduce their impact on selected parameters of the production process. The study presents the impact of Lean Manufacturing tools (5S, standardization and Total Productive Maintenance) on delays in the manufacturing process. A statistical analysis of the level of delays was performed, which was aimed at showing the essence of using Lean Manufacturing tools to improve the efficiency of the production process. In the example analyzed, the implementation of selected LM tools allowed for a reduction of delays related to failures by approximately 18 hours.
{"title":"The Impact of Selected Lean Manufacturing Tools on the Level of Delays in the Production Process. A Case Study","authors":"Szymon Pawlak","doi":"10.2478/mspe-2024-0011","DOIUrl":"https://doi.org/10.2478/mspe-2024-0011","url":null,"abstract":"\u0000 Organizing manufacturing work in a way that minimizes delays in individual production operations is a key factor in a highly competitive market. One of the key factors to prevent delays is their correct identification and proper definition of methods to reduce their impact on selected parameters of the production process. The study presents the impact of Lean Manufacturing tools (5S, standardization and Total Productive Maintenance) on delays in the manufacturing process. A statistical analysis of the level of delays was performed, which was aimed at showing the essence of using Lean Manufacturing tools to improve the efficiency of the production process. In the example analyzed, the implementation of selected LM tools allowed for a reduction of delays related to failures by approximately 18 hours.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140431635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The aim of the paper was to analyze risky behaviors in the mining industry on the example of the indicator analysis of the statistics on accidents at work. Selected criteria of generic analysis (structure index – causes of accidents) and indicator analysis (intensity index – frequency indicator of accidents) were used in the research. The source of data for the analysis of accident rate were the publications of the Statistics Poland entitled “Accidents at work” in Poland for 2010-2021. The study aimed at human causes, which included the following five groups: lack or improper handling of a material factor by the employee, failure to use protective equipment by the employee, improper willful behavior of the employee, improper mental and physical state of the employee, improper behavior of the employee. For the analysis of risky behaviors, the proposition of the frequency indicator of accidents at work was used in the form of the probability indicator of accidents caused by risky behaviors per 1,000 working people. Based on the indicator analysis of risky behaviors, a comparative analysis of statistics on accidents at work in the period 2010-2021 according to the criterion of human causes was developed for Poland and mining. The research is based on the data of the Statistics Poland (GUS), but can be extended with other data, e.g. industry data according to the State Mining Authority (WUG). The results of the research can be used for a comparative analysis of the statistics on accidents at work in relation to other sectors and sections of economic activity of the NACE (PKD). The publication contains the original results of the indicator analysis of the statistics on accidents at work according to the criterion of human causes in the mining industry, and they can be addressed to persons managing of mining plants and managers of mining supervision authorities.
{"title":"Assessing Risky Behaviors Based on the Indicator Analysis of Statistics on Accidents at Work","authors":"Aneta Grodzicka","doi":"10.2478/mspe-2023-0043","DOIUrl":"https://doi.org/10.2478/mspe-2023-0043","url":null,"abstract":"Abstract The aim of the paper was to analyze risky behaviors in the mining industry on the example of the indicator analysis of the statistics on accidents at work. Selected criteria of generic analysis (structure index – causes of accidents) and indicator analysis (intensity index – frequency indicator of accidents) were used in the research. The source of data for the analysis of accident rate were the publications of the Statistics Poland entitled “Accidents at work” in Poland for 2010-2021. The study aimed at human causes, which included the following five groups: lack or improper handling of a material factor by the employee, failure to use protective equipment by the employee, improper willful behavior of the employee, improper mental and physical state of the employee, improper behavior of the employee. For the analysis of risky behaviors, the proposition of the frequency indicator of accidents at work was used in the form of the probability indicator of accidents caused by risky behaviors per 1,000 working people. Based on the indicator analysis of risky behaviors, a comparative analysis of statistics on accidents at work in the period 2010-2021 according to the criterion of human causes was developed for Poland and mining. The research is based on the data of the Statistics Poland (GUS), but can be extended with other data, e.g. industry data according to the State Mining Authority (WUG). The results of the research can be used for a comparative analysis of the statistics on accidents at work in relation to other sectors and sections of economic activity of the NACE (PKD). The publication contains the original results of the indicator analysis of the statistics on accidents at work according to the criterion of human causes in the mining industry, and they can be addressed to persons managing of mining plants and managers of mining supervision authorities.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138619405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Since there is so much empirical research in the field of lean manufacturing, to provide a comprehensive overview of the literature on this subject, a bibliometric analysis was required. Through science mapping and multi-dimensional bibliometric analysis, this study aims to identify common themes in the most-cited research on lean manufacturing. A bibliometric analysis was conducted using VOSviewer, including keyword occurrence, co-authorship network, and bibliometric coupling network analyses. From the 4,648 results in the SCOPUS database search, the 100 most-cited articles were analyzed. The analysis found four research clusters: “lean manufacturing,” “productivity,” “manufacture,” and “value stream mapping.” It was also found that most of the most-cited papers came from journals with a Q1 ranking. Based on these results, scholars work to learn as much as they can about the field. The results are important to researchers because they show how far the research on lean manufacturing has come. As far as the author knows, no other study has been done on bibliometric analysis of the topic. By making a scientific map of what is known about lean manufacturing, this study adds to what is already known.
{"title":"A Bibliometric Analysis of Educational Research Publications on Lean Manufacturing: Identifying Key Themes and Trends","authors":"Ibrahim Hassan Mohamud","doi":"10.2478/mspe-2023-0047","DOIUrl":"https://doi.org/10.2478/mspe-2023-0047","url":null,"abstract":"Abstract Since there is so much empirical research in the field of lean manufacturing, to provide a comprehensive overview of the literature on this subject, a bibliometric analysis was required. Through science mapping and multi-dimensional bibliometric analysis, this study aims to identify common themes in the most-cited research on lean manufacturing. A bibliometric analysis was conducted using VOSviewer, including keyword occurrence, co-authorship network, and bibliometric coupling network analyses. From the 4,648 results in the SCOPUS database search, the 100 most-cited articles were analyzed. The analysis found four research clusters: “lean manufacturing,” “productivity,” “manufacture,” and “value stream mapping.” It was also found that most of the most-cited papers came from journals with a Q1 ranking. Based on these results, scholars work to learn as much as they can about the field. The results are important to researchers because they show how far the research on lean manufacturing has come. As far as the author knows, no other study has been done on bibliometric analysis of the topic. By making a scientific map of what is known about lean manufacturing, this study adds to what is already known.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138611407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The problem of reducing leaks along the pump or compressor shaft of pumped liquids and gases into the environment is very urgent. Serious difficulties have to be faced when sealing the shafts of machines that pump aggressive, toxic, explosive and fire-hazardous environments. According to modern occupational safety requirements, such pumps and compressors should use double seals with a barrier medium whose pressure exceeds the sealed one by 0.05-0.2 MPa. Currently, liquid-lubricated double mechanical seals are widely used in chemical production equipment, however, over the last decade of the 20th century, leading companies have developed a number of designs of double gas mechanical seals for pumps and chemical production devices, which significantly exceed liquid-lubricated seals in their performance characteristics. The vast majority of these seals use a gas-dynamic principle of operation, i.e. spiral, logarithmic, T-shaped or other micro grooves are made on the sealing faces of their rings, which, when rotated, create an additional gas dynamic force that ensures the functioning of these seals with a micron gap between the sealing pair. In this paper, the design, principle of operation and engineering methodology for calculating the main characteristics of a impulse gas barrier face seal, in which one pair of sealing rings performs the functions of a double mechanical seal, is considered. The design is simple, compact and, thanks to the more advanced principle of creating a gap between the sealing pair, is able to maintain operability in a wide range of sealing and barrier pressures. The existing experience of operating seals of this type on chemical production pumps has confirmed their high efficiency, reliability and safety.
{"title":"Calculation of the Operational Characteristics of the Impulse Gas-Barrier Face Seal","authors":"E. Kuznetsov, I. Pandová","doi":"10.2478/mspe-2023-0046","DOIUrl":"https://doi.org/10.2478/mspe-2023-0046","url":null,"abstract":"Abstract The problem of reducing leaks along the pump or compressor shaft of pumped liquids and gases into the environment is very urgent. Serious difficulties have to be faced when sealing the shafts of machines that pump aggressive, toxic, explosive and fire-hazardous environments. According to modern occupational safety requirements, such pumps and compressors should use double seals with a barrier medium whose pressure exceeds the sealed one by 0.05-0.2 MPa. Currently, liquid-lubricated double mechanical seals are widely used in chemical production equipment, however, over the last decade of the 20th century, leading companies have developed a number of designs of double gas mechanical seals for pumps and chemical production devices, which significantly exceed liquid-lubricated seals in their performance characteristics. The vast majority of these seals use a gas-dynamic principle of operation, i.e. spiral, logarithmic, T-shaped or other micro grooves are made on the sealing faces of their rings, which, when rotated, create an additional gas dynamic force that ensures the functioning of these seals with a micron gap between the sealing pair. In this paper, the design, principle of operation and engineering methodology for calculating the main characteristics of a impulse gas barrier face seal, in which one pair of sealing rings performs the functions of a double mechanical seal, is considered. The design is simple, compact and, thanks to the more advanced principle of creating a gap between the sealing pair, is able to maintain operability in a wide range of sealing and barrier pressures. The existing experience of operating seals of this type on chemical production pumps has confirmed their high efficiency, reliability and safety.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138616961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tubagus Asep Nurdin, M. Alexandri, W. Sumadinata, R. Arifianti
Abstract The aim of this study is to use sentiment analysis to compare the efficiency of old and new fintech technologies by collecting data from various sources and analyzing it using the SVM and NB algorithms. The study seeks to identify opinions or feelings from text in order to provide a clear picture of public opinion and the direction of the debate regarding old and new fintech technologies. The results of the study show that the SVM algorithm has an average accuracy of 87.32% and the NB algorithm has an average accuracy of 81.56% in testing the sample data in a comparison of old and new fintech technology on the internet. The study tested data in a comparison of two specific arguments, namely the debate about which technology is more efficient in old and new fintech on the internet. Despite many unresolved arguments, the study successfully proved that new fintech is more preferred than old fintech, with 71% positive sentiment directed towards new fintech. However, the dataset also found that 62% negative sentiment is directed towards new fintech, indicating that although new fintech is more preferred, there are still some issues that need to be addressed. One reason for negative sentiment towards new fintech may be the continued concerns about security and privacy of user data. Furthermore, other factors that may cause negative sentiment towards new fintech include a lack of understanding about how the technology works.
{"title":"Sentiment Analysis of User Preference for Old Vs New Fintech Technology Using SVM and NB Algorithms","authors":"Tubagus Asep Nurdin, M. Alexandri, W. Sumadinata, R. Arifianti","doi":"10.2478/mspe-2023-0041","DOIUrl":"https://doi.org/10.2478/mspe-2023-0041","url":null,"abstract":"Abstract The aim of this study is to use sentiment analysis to compare the efficiency of old and new fintech technologies by collecting data from various sources and analyzing it using the SVM and NB algorithms. The study seeks to identify opinions or feelings from text in order to provide a clear picture of public opinion and the direction of the debate regarding old and new fintech technologies. The results of the study show that the SVM algorithm has an average accuracy of 87.32% and the NB algorithm has an average accuracy of 81.56% in testing the sample data in a comparison of old and new fintech technology on the internet. The study tested data in a comparison of two specific arguments, namely the debate about which technology is more efficient in old and new fintech on the internet. Despite many unresolved arguments, the study successfully proved that new fintech is more preferred than old fintech, with 71% positive sentiment directed towards new fintech. However, the dataset also found that 62% negative sentiment is directed towards new fintech, indicating that although new fintech is more preferred, there are still some issues that need to be addressed. One reason for negative sentiment towards new fintech may be the continued concerns about security and privacy of user data. Furthermore, other factors that may cause negative sentiment towards new fintech include a lack of understanding about how the technology works.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138620324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The mining process of the coal seam wall is accompanied by the release of methane into the mine atmosphere. This process is highly variable and depends on the methane content in the seam and the methane saturation of the rocks surrounding the seam. This is the specificity of the Polish hard coal mining industry. In the article, prognostic formulas for the maximum methane concentration at the outlet of the longwall ventilation gallery were developed. In the presented article, these formulas were used to predict methane concentration at the longwall outlet and in the ventilation gallery at a distance of up to 10 m in front of the longwall. In order to assess the accuracy of the forecasts, their results were compared with the forecast at the exit of the ventilation roadway. The obtained results are so accurate that it is worth repeating this type of check also using measurements in other longwalls. It will allow to reduce the risk of methane explosion during operation.
{"title":"Forecast of the Maximum Methane Concentration in the Longwall Outlet and in the Ventilation Roadway. Case Study","authors":"D. Palka, Peter Blistan, H. Badura","doi":"10.2478/mspe-2023-0044","DOIUrl":"https://doi.org/10.2478/mspe-2023-0044","url":null,"abstract":"Abstract The mining process of the coal seam wall is accompanied by the release of methane into the mine atmosphere. This process is highly variable and depends on the methane content in the seam and the methane saturation of the rocks surrounding the seam. This is the specificity of the Polish hard coal mining industry. In the article, prognostic formulas for the maximum methane concentration at the outlet of the longwall ventilation gallery were developed. In the presented article, these formulas were used to predict methane concentration at the longwall outlet and in the ventilation gallery at a distance of up to 10 m in front of the longwall. In order to assess the accuracy of the forecasts, their results were compared with the forecast at the exit of the ventilation roadway. The obtained results are so accurate that it is worth repeating this type of check also using measurements in other longwalls. It will allow to reduce the risk of methane explosion during operation.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138615143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The dynamic evolution of the economy and the evolving demands necessitating adaptability are primary catalysts for the emergence of Industry 5.0 which, building on the foundations of Industry 4.0, is oriented towards meeting human needs and expectations while ensuring the responsible functioning of the workforce. This is particularly salient in sectors experiencing rapid advancements in manufacturing concepts, characterized by the integration of advanced IT, information and data utilization, automation, and the deployment of collaborative robots, often referred to as “cobots”. The study outlines the key prerequisites concerning the development and operation of Industry 5.0, as specified in European Union guidelines, and evident in research literature. Three critical facets pertinent to the effective implementation of Industry 5.0 are extensively addressed, encompassing the imperative to effectively cater to human-related requisites and highlighting the potential benefits therein. The paper offers an overview of openly accessible, previously published materials on the subject. The author’s examination encompasses studies regarded as milestones, which build on the foundations of Industry 4.0 to advance the conceptual framework of Industry 5.0. Rather than centering on statistical analysis, this research attempts to explore relationships that warrant further in-depth investigation to ascertain existing correlations. The paper seeks to outline factors to be considered in the course of implementing Industry 5.0. Its conclusions may be of use in supporting people responsible for organizational development and specifically in helping them to identify potential issues so as to give their organization an edge in the global competitive environment.
{"title":"Developing Industry 5.0 To Effectively Harness Production Capacities","authors":"A. Górny","doi":"10.2478/mspe-2023-0052","DOIUrl":"https://doi.org/10.2478/mspe-2023-0052","url":null,"abstract":"Abstract The dynamic evolution of the economy and the evolving demands necessitating adaptability are primary catalysts for the emergence of Industry 5.0 which, building on the foundations of Industry 4.0, is oriented towards meeting human needs and expectations while ensuring the responsible functioning of the workforce. This is particularly salient in sectors experiencing rapid advancements in manufacturing concepts, characterized by the integration of advanced IT, information and data utilization, automation, and the deployment of collaborative robots, often referred to as “cobots”. The study outlines the key prerequisites concerning the development and operation of Industry 5.0, as specified in European Union guidelines, and evident in research literature. Three critical facets pertinent to the effective implementation of Industry 5.0 are extensively addressed, encompassing the imperative to effectively cater to human-related requisites and highlighting the potential benefits therein. The paper offers an overview of openly accessible, previously published materials on the subject. The author’s examination encompasses studies regarded as milestones, which build on the foundations of Industry 4.0 to advance the conceptual framework of Industry 5.0. Rather than centering on statistical analysis, this research attempts to explore relationships that warrant further in-depth investigation to ascertain existing correlations. The paper seeks to outline factors to be considered in the course of implementing Industry 5.0. Its conclusions may be of use in supporting people responsible for organizational development and specifically in helping them to identify potential issues so as to give their organization an edge in the global competitive environment.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138610050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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