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":" 40","pages":"389 - 397"},"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":" October","pages":"418 - 426"},"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":" 11","pages":"411 - 417"},"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":" 77","pages":"373 - 380"},"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":"199 ","pages":"398 - 403"},"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":" 6","pages":"456 - 463"},"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}
Tadeáš Světlík, Radek Varga, Lukáš Pospíšil, Martin Čermák
Abstract This paper presents a contribution to the field of numerical solutions for contact problems, which pose significant challenges in engineering and simulations. Specifically, we address the intricate task of connecting bodies that have been discretized using non-conforming and non-overlapping meshes. Our primary focus lies in investigating the efficacy of the mortar method with a segment-to-segment approach. In this context, we provide a concise overview of the underlying theoretical framework and present our implementation in the MATLAB programming environment. To ascertain the reliability and accuracy of our proposed methodology, we conduct a rigorous validation study by comparing the outcomes obtained from our implementation with those derived from the widely adopted commercial software, ANSYS. To enable a comprehensive evaluation, we select specific benchmark problems that involve the interaction of two elastic bodies. Through a meticulous analysis and comparison of results, we demonstrate the effectiveness and robustness of our approach. The findings of this study contribute substantively to the advancement of numerical techniques for solving contact problems. The validated methodology not only establishes a solid foundation for future research endeavors but also offers a reliable framework for conducting simulations in this domain. Furthermore, the insights gained from this study can potentially facilitate the development of more efficient and accurate computational algorithms for addressing contact problems encountered in various engineering applications.
{"title":"Mortar Method for 2D Elastic Bounded Contact Problems","authors":"Tadeáš Světlík, Radek Varga, Lukáš Pospíšil, Martin Čermák","doi":"10.2478/mspe-2023-0051","DOIUrl":"https://doi.org/10.2478/mspe-2023-0051","url":null,"abstract":"Abstract This paper presents a contribution to the field of numerical solutions for contact problems, which pose significant challenges in engineering and simulations. Specifically, we address the intricate task of connecting bodies that have been discretized using non-conforming and non-overlapping meshes. Our primary focus lies in investigating the efficacy of the mortar method with a segment-to-segment approach. In this context, we provide a concise overview of the underlying theoretical framework and present our implementation in the MATLAB programming environment. To ascertain the reliability and accuracy of our proposed methodology, we conduct a rigorous validation study by comparing the outcomes obtained from our implementation with those derived from the widely adopted commercial software, ANSYS. To enable a comprehensive evaluation, we select specific benchmark problems that involve the interaction of two elastic bodies. Through a meticulous analysis and comparison of results, we demonstrate the effectiveness and robustness of our approach. The findings of this study contribute substantively to the advancement of numerical techniques for solving contact problems. The validated methodology not only establishes a solid foundation for future research endeavors but also offers a reliable framework for conducting simulations in this domain. Furthermore, the insights gained from this study can potentially facilitate the development of more efficient and accurate computational algorithms for addressing contact problems encountered in various engineering applications.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":"112 44","pages":"449 - 455"},"PeriodicalIF":1.5,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138609589","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 In 2021, at the request of PJSC “Dnepropetrovsk Coke Plant”, city Kamianske, we conducted research at the facility where coke-chemical waste is stored on one of the coal waste collectors. The study area was 9.37 ha. The research subject was anthropogenic formations, which were formed due to the storage of coal-floated sediments on the company’s premises. The research aimed to determine the characteristics and analysis of the quantity and quality of coal accumulations, determine the retention of the insulating layer and its composition, and create maps of the quality and capacity of accumulated anthropogenic sediments. The ordering company decided to use both – the latest ground penetration technology and the traditional methods of drilling and laboratory, thanks to which an unusually large number of parameters were obtained and processed during the research process. Similar research was conducted on other industrial facilities, but to a much lesser extent; since we have implemented a combined, comprehensive methodology for the assessment of anthropogenic deposits, because of which the effectiveness of geological research and economic assessment increased, the time of conducting research shortened to 40-45 calendar days, and the cost of such tests decreased five times. At this stage, some things could be improved in the methodology, such as imperfection of the mathematical model and methodology of statistical data processing. These errors will be eliminated during further modelling work under the prepared implementation plan for the tested methodology.
{"title":"Study of a Low-Cost Method for Estimating Energy Fuel Resources in Anthropogenic Sediments","authors":"Dmytro Khomenko, I. Jelonek","doi":"10.2478/mspe-2023-0049","DOIUrl":"https://doi.org/10.2478/mspe-2023-0049","url":null,"abstract":"Abstract In 2021, at the request of PJSC “Dnepropetrovsk Coke Plant”, city Kamianske, we conducted research at the facility where coke-chemical waste is stored on one of the coal waste collectors. The study area was 9.37 ha. The research subject was anthropogenic formations, which were formed due to the storage of coal-floated sediments on the company’s premises. The research aimed to determine the characteristics and analysis of the quantity and quality of coal accumulations, determine the retention of the insulating layer and its composition, and create maps of the quality and capacity of accumulated anthropogenic sediments. The ordering company decided to use both – the latest ground penetration technology and the traditional methods of drilling and laboratory, thanks to which an unusually large number of parameters were obtained and processed during the research process. Similar research was conducted on other industrial facilities, but to a much lesser extent; since we have implemented a combined, comprehensive methodology for the assessment of anthropogenic deposits, because of which the effectiveness of geological research and economic assessment increased, the time of conducting research shortened to 40-45 calendar days, and the cost of such tests decreased five times. At this stage, some things could be improved in the methodology, such as imperfection of the mathematical model and methodology of statistical data processing. These errors will be eliminated during further modelling work under the prepared implementation plan for the tested methodology.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":" 23","pages":"434 - 441"},"PeriodicalIF":1.5,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138611486","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}
T. Krenický, Kostiantyn Dyadyura, Dmitriy Dmitrishin, Sergii Grybniak, Igor Prokopovich
Abstract The emergence and subsequent popularization of lean manufacturing have become one of the most significant for improving the efficiency and productivity of operations. The use of lean manufacturing tools and methods leads to the elimination of waste in the organization. Traditional information systems that allow organizations to share information about resources while managing process performance and traceability have a number of disadvantages such as security, interoperability, and transparency. Currently, distributed ledger technology (block-chain) is widely used for this purpose. This article presents a study of decentralized management of the implementation of a distributed ledger infrastructure, which is selected based on the characteristics of the production system. This study proposes a framework that analyzes lean production methods using simulation and data envelopment analysis (DEA) to accommodate the underlying multi-objective decision-making problem. The current study examines the impact of the simultaneous application of RCA technology, lean manufacturing methods, and distributed ledger technology on the total time, costs, and time of production processes.
{"title":"Application of Methods of Decentralized Systems in Management in Lean Manufacturing","authors":"T. Krenický, Kostiantyn Dyadyura, Dmitriy Dmitrishin, Sergii Grybniak, Igor Prokopovich","doi":"10.2478/mspe-2023-0048","DOIUrl":"https://doi.org/10.2478/mspe-2023-0048","url":null,"abstract":"Abstract The emergence and subsequent popularization of lean manufacturing have become one of the most significant for improving the efficiency and productivity of operations. The use of lean manufacturing tools and methods leads to the elimination of waste in the organization. Traditional information systems that allow organizations to share information about resources while managing process performance and traceability have a number of disadvantages such as security, interoperability, and transparency. Currently, distributed ledger technology (block-chain) is widely used for this purpose. This article presents a study of decentralized management of the implementation of a distributed ledger infrastructure, which is selected based on the characteristics of the production system. This study proposes a framework that analyzes lean production methods using simulation and data envelopment analysis (DEA) to accommodate the underlying multi-objective decision-making problem. The current study examines the impact of the simultaneous application of RCA technology, lean manufacturing methods, and distributed ledger technology on the total time, costs, and time of production processes.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":" 9","pages":"427 - 433"},"PeriodicalIF":1.5,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138612852","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}
Matthew Barsalou, Pedro Manuel Saraiva, Roberto Henriques
Abstract This paper explores Exploratory Data Analysis (EDA). Graphical methods are used to gain insights in EDA and these insights can be useful for forming tentative hypotheses when performing a root cause analysis (RCA). The topic of EDA is well addressed in the literature; however, empirical studies of the efficacy of EDA are lacking. We therefore aim to evaluate EDA by comparing one group of students identifying salient features in a table against a second group of students attempting to identify salient features in the same data presented in the form of a run chart, and then extracting relevant conclusions from such a comparison. Two groups of students were randomly selected to receive data; either in the form of a table or a run chart. They were then tasked with visually identifying any data points that stood out as interesting. The number of correctly identified values and the time to find the values were both evaluated by a two-sample t-test to determine if there was a statistically significant difference. The participants with a graph found the correct values that stood out in the data much quicker than those that used a table. Those using the data in the form of a table too much longer and failed to identify values that stood out. However, those with a graph also had far more false positives. Much has been written on the topic of EDA in the literature; however, an empirical evaluation of this common methodology is lacking. This paper confirms with empirical evidence the effectiveness of EDA.
{"title":"Exploring Exploratory Data Analysis: An Empirical Test of Run Chart Utility","authors":"Matthew Barsalou, Pedro Manuel Saraiva, Roberto Henriques","doi":"10.2478/mspe-2023-0050","DOIUrl":"https://doi.org/10.2478/mspe-2023-0050","url":null,"abstract":"Abstract This paper explores Exploratory Data Analysis (EDA). Graphical methods are used to gain insights in EDA and these insights can be useful for forming tentative hypotheses when performing a root cause analysis (RCA). The topic of EDA is well addressed in the literature; however, empirical studies of the efficacy of EDA are lacking. We therefore aim to evaluate EDA by comparing one group of students identifying salient features in a table against a second group of students attempting to identify salient features in the same data presented in the form of a run chart, and then extracting relevant conclusions from such a comparison. Two groups of students were randomly selected to receive data; either in the form of a table or a run chart. They were then tasked with visually identifying any data points that stood out as interesting. The number of correctly identified values and the time to find the values were both evaluated by a two-sample t-test to determine if there was a statistically significant difference. The participants with a graph found the correct values that stood out in the data much quicker than those that used a table. Those using the data in the form of a table too much longer and failed to identify values that stood out. However, those with a graph also had far more false positives. Much has been written on the topic of EDA in the literature; however, an empirical evaluation of this common methodology is lacking. This paper confirms with empirical evidence the effectiveness of EDA.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":" 4","pages":"442 - 448"},"PeriodicalIF":1.5,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138615449","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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