Abstract The study aims to improve employees’ understanding regards the modifying impact of job desertification on the relationship between cognitive biases and organizational anomie. Furthermore, the study also aims to examine a the direct relationship between each of the cognitive biases and the organizational anomie among the 305 employees working at Al-Hussein Teaching Hospital, Karbala region, Iraq. Outcomes confirmed the hypothesis that organizational anomie is favourably impacted by every of the cognitive biases pursued by the leader and dealt with, as a daily behavior, at work. The results also proved that the dimensions of cognitive biases have a positive impact on the organizational anomie. In addition to this, the nature of the connection between cognitive biases and organizational anomalies is affected by job desertification. Thus, the current study outcomes contribute towards the importance of understanding the job desertification behaviours exhibited by the employees in an organization. In general, Job desertification heavily deteriorates organizational performance, increases the mistrust between the leader and their subordinates and increases the moral deterioration of the employees in an organization.
{"title":"Job desertification as a modified variable in the relationship between the cognitive biases of the leader and the organizational anomie","authors":"Husam Hussein Shyaa, Ali Abdulhassan Abbas","doi":"10.30657/pea.2023.29.41","DOIUrl":"https://doi.org/10.30657/pea.2023.29.41","url":null,"abstract":"Abstract The study aims to improve employees’ understanding regards the modifying impact of job desertification on the relationship between cognitive biases and organizational anomie. Furthermore, the study also aims to examine a the direct relationship between each of the cognitive biases and the organizational anomie among the 305 employees working at Al-Hussein Teaching Hospital, Karbala region, Iraq. Outcomes confirmed the hypothesis that organizational anomie is favourably impacted by every of the cognitive biases pursued by the leader and dealt with, as a daily behavior, at work. The results also proved that the dimensions of cognitive biases have a positive impact on the organizational anomie. In addition to this, the nature of the connection between cognitive biases and organizational anomalies is affected by job desertification. Thus, the current study outcomes contribute towards the importance of understanding the job desertification behaviours exhibited by the employees in an organization. In general, Job desertification heavily deteriorates organizational performance, increases the mistrust between the leader and their subordinates and increases the moral deterioration of the employees in an organization.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136318411","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}
Adam Sadowski, Michał Sadowski, Per Engelseth, Zbigniew Galar, Beata Skowron-Grabowska
Abstract Inventory control is one of the key areas of research in logistics. Using the SCOPUS database, we have processed 9,829 articles on inventory control using triangulation of statistical methods and machine learning. We have proven the usefulness of the proposed statistical method and Graph Attention Network (GAT) architecture for determining trend-setting keywords in inventory control research. We have demonstrated the changes in the research conducted between 1950 and 2021 by presenting the evolution of keywords in articles. A novelty of our research is the applied approach to bibliometric analysis using unsupervised deep learning. It allows to identify the keywords that determined the high citation rate of the article. The theoretical framework for the intellectual structure of research proposed in the studies on inventory control is general and can be applied to any area of knowledge.
{"title":"Using neural networks to examine trending keywords in Inventory Control","authors":"Adam Sadowski, Michał Sadowski, Per Engelseth, Zbigniew Galar, Beata Skowron-Grabowska","doi":"10.30657/pea.2023.29.52","DOIUrl":"https://doi.org/10.30657/pea.2023.29.52","url":null,"abstract":"Abstract Inventory control is one of the key areas of research in logistics. Using the SCOPUS database, we have processed 9,829 articles on inventory control using triangulation of statistical methods and machine learning. We have proven the usefulness of the proposed statistical method and Graph Attention Network (GAT) architecture for determining trend-setting keywords in inventory control research. We have demonstrated the changes in the research conducted between 1950 and 2021 by presenting the evolution of keywords in articles. A novelty of our research is the applied approach to bibliometric analysis using unsupervised deep learning. It allows to identify the keywords that determined the high citation rate of the article. The theoretical framework for the intellectual structure of research proposed in the studies on inventory control is general and can be applied to any area of knowledge.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136317695","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}
Agnieszka Deja, Wojciech Ślączka, Lyudmyla Dzhuguryan, Tygran Dzhuguryan, Robert Ulewicz
Abstract The development of smart sustainable megapolises is associated with the formation of city multifloor manufacturing clusters (CMFMCs) in them directly in the residential area in order to reduce the supply chain from the manufacturer to consumers. Additive technologies (ATs) belong to green technologies because they are considered environmentally sustainable due to less production waste and the ability to reuse of product materials within the circular economy concept. Sustainable development of ATs and additive manufacturing management has become a priority sphere for scientific research, and the use of ATs in the city manufacturing has become any daily reality. Nevertheless, the issues of additive manufacturing management within the CMFMCs have not yet been sufficiently studied. The primary goal of this study was to examine the possibilities of additive manufacturing management in the CMFMCs of the megapolis due to the rational facilities multi-floor layout in production buildings, considering the structure of city manufacturing and business process reengineering related to the needs of the production services market. This paper presents a novel model of facilities multi-floor layout in the production buildings of the CMFMCs, considering the structure of city manufacturing, morphological analysis of the additive manufacturing equipment (AME) used, the balance of material and energy flows under infrastructure capacity limitations of megapolis. The model was verified based on a case study for various options of the floor-by-floor grouping of AME in a building of the CMFMCs. Management solutions for maintaining the flow balance of material, energy and water resources in the CMFMCs are discussed. The results may be useful for additive manufacturing management in an urban environment, taking into account the needs of the production services market in the megapolis.
{"title":"Green technologies in smart city multifloor manufacturing clusters: A framework for additive manufacturing management","authors":"Agnieszka Deja, Wojciech Ślączka, Lyudmyla Dzhuguryan, Tygran Dzhuguryan, Robert Ulewicz","doi":"10.30657/pea.2023.29.48","DOIUrl":"https://doi.org/10.30657/pea.2023.29.48","url":null,"abstract":"Abstract The development of smart sustainable megapolises is associated with the formation of city multifloor manufacturing clusters (CMFMCs) in them directly in the residential area in order to reduce the supply chain from the manufacturer to consumers. Additive technologies (ATs) belong to green technologies because they are considered environmentally sustainable due to less production waste and the ability to reuse of product materials within the circular economy concept. Sustainable development of ATs and additive manufacturing management has become a priority sphere for scientific research, and the use of ATs in the city manufacturing has become any daily reality. Nevertheless, the issues of additive manufacturing management within the CMFMCs have not yet been sufficiently studied. The primary goal of this study was to examine the possibilities of additive manufacturing management in the CMFMCs of the megapolis due to the rational facilities multi-floor layout in production buildings, considering the structure of city manufacturing and business process reengineering related to the needs of the production services market. This paper presents a novel model of facilities multi-floor layout in the production buildings of the CMFMCs, considering the structure of city manufacturing, morphological analysis of the additive manufacturing equipment (AME) used, the balance of material and energy flows under infrastructure capacity limitations of megapolis. The model was verified based on a case study for various options of the floor-by-floor grouping of AME in a building of the CMFMCs. Management solutions for maintaining the flow balance of material, energy and water resources in the CMFMCs are discussed. The results may be useful for additive manufacturing management in an urban environment, taking into account the needs of the production services market in the megapolis.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136317683","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 high level of competition in the manufacturing industry requires the creation of working conditions that allow for the efficient implementation of production processes. One of the solutions enabling the adaptation of production stations to improve the work performed by employees is the implementation of a management system based on the Lean Manufacturing (LM) philosophy. The purpose of this article was to determine the potential impact of the implemented LM tools, in the form of 5S and standardization, on the efficiency of the production process in specific production conditions. The methodology of the conducted research included: obtaining data before and after the implementation of LM tools (in total 12 months). The data was used to determine the effectiveness of individual operations, and then to conduct a comparative analysis using statistical tests. It was found, among others, that the implementation of LM tools resulted in an increase in the efficiency of the manufacturing process by about 11 percentage points. The obtained results confirm the thesis that a manufacturing company, in order to maintain its position on a competitive market, can improve the efficiency of processes by using tools such as LM. The selection of tools must be adequate to the implemented processes, so that they bring measurable increase in efficiency.
{"title":"Analysis of the impact of the 5S tool and Standardization on the duration of the production process - case study","authors":"Szymon Pawlak, Krzysztof Nowacki, Harald Kania","doi":"10.30657/pea.2023.29.47","DOIUrl":"https://doi.org/10.30657/pea.2023.29.47","url":null,"abstract":"Abstract The high level of competition in the manufacturing industry requires the creation of working conditions that allow for the efficient implementation of production processes. One of the solutions enabling the adaptation of production stations to improve the work performed by employees is the implementation of a management system based on the Lean Manufacturing (LM) philosophy. The purpose of this article was to determine the potential impact of the implemented LM tools, in the form of 5S and standardization, on the efficiency of the production process in specific production conditions. The methodology of the conducted research included: obtaining data before and after the implementation of LM tools (in total 12 months). The data was used to determine the effectiveness of individual operations, and then to conduct a comparative analysis using statistical tests. It was found, among others, that the implementation of LM tools resulted in an increase in the efficiency of the manufacturing process by about 11 percentage points. The obtained results confirm the thesis that a manufacturing company, in order to maintain its position on a competitive market, can improve the efficiency of processes by using tools such as LM. The selection of tools must be adequate to the implemented processes, so that they bring measurable increase in efficiency.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139313035","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 need to classify rocks in terms of workability stems primarily from the need to choose the appropriate, most effective diagnostic method (DM) and way of mining the given rock. Studying and measuring the workability of rocks is extremely difficult due to the fact that workability depends on many various factors. There are many DM for determining the workability of rocks, but none of them take into account the influence of all factors, hence the obtained results are only indicative. In the article, many DM and ways of determining the cutting resistance with the use of various devices are presented and characterized. The principles of their operations are presented, as well as the DM of measuring the cutting resistance and its utilitarian usefulness in forecasting the selection of mining machines on the basis of cutting for specific mining and geological conditions. The core of the problem is confirmed by the number of covered DM and tools in various research centers around the world. In the article, new tools measuring and evaluating the mechanical properties of the coal solid, all created in Poland, are presented. Their structure, principles of their operation, as well as the innovation of these solutions, are all presented. In this article, their ad-vantages and disadvantages are highlighted, as well as showing the DM which best represents the way of work of the winning machine. Therefore, the results achieved through the aforementioned DM can be understood as representative values.
{"title":"Diagnostic methods and ways of testing the workability of coal - a review","authors":"Witold Biały, Pavol Bozek, Łukasz Bołoz","doi":"10.30657/pea.2023.29.45","DOIUrl":"https://doi.org/10.30657/pea.2023.29.45","url":null,"abstract":"Abstract The need to classify rocks in terms of workability stems primarily from the need to choose the appropriate, most effective diagnostic method (DM) and way of mining the given rock. Studying and measuring the workability of rocks is extremely difficult due to the fact that workability depends on many various factors. There are many DM for determining the workability of rocks, but none of them take into account the influence of all factors, hence the obtained results are only indicative. In the article, many DM and ways of determining the cutting resistance with the use of various devices are presented and characterized. The principles of their operations are presented, as well as the DM of measuring the cutting resistance and its utilitarian usefulness in forecasting the selection of mining machines on the basis of cutting for specific mining and geological conditions. The core of the problem is confirmed by the number of covered DM and tools in various research centers around the world. In the article, new tools measuring and evaluating the mechanical properties of the coal solid, all created in Poland, are presented. Their structure, principles of their operation, as well as the innovation of these solutions, are all presented. In this article, their ad-vantages and disadvantages are highlighted, as well as showing the DM which best represents the way of work of the winning machine. Therefore, the results achieved through the aforementioned DM can be understood as representative values.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136311858","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}
Djordje Ivković, Dušan Arsić, Radica Prokić Cvetković, Olivera Popović, Ružica R. Nikolić, Otakar Bokuvka
Abstract Due to difficult pandemic situation with COVID-19 decease, as well as due to current geopolitical circumstances in the world, we are facing the shortage of steel and therefore the impossibility of delivering the contracted products within the agreed deadlines. It is thus necessary to find suitable steel for replacement. The procedure for selecting one such steel for substituting the deficit steel 25CrMo4, for the purposes of producing a responsible welded assembly, is described in this paper. After the careful analysis, the steel 42CrMo4 was taken into consideration as a possible substitute material. Prior to applying the new selected steel, it was necessary to perform the following tests: analyze its chemical composition, determine its most important mechanical properties and evaluate its weldability. Then, the optimal welding and heat treatment technologies were determined, so that the quality of the responsible welded structure would meet all the requirements, as the structure made of originally used steel. For the new steel, all the mentioned and some additional tests were conducted and the appropriate welding technology was prescribed. To verify the selected technology, appropriate tests were conducted on the model welded samples, the results of which are presented in this paper. Based on the analysis of the obtained results, it was concluded that the 25CrMo4 steel can be replaced by the 42CrMo4 steel, however, with the mandatory application of appropriate supplementary measures.
{"title":"How to replace the original material for the welded structure manufacturing","authors":"Djordje Ivković, Dušan Arsić, Radica Prokić Cvetković, Olivera Popović, Ružica R. Nikolić, Otakar Bokuvka","doi":"10.30657/pea.2023.29.42","DOIUrl":"https://doi.org/10.30657/pea.2023.29.42","url":null,"abstract":"Abstract Due to difficult pandemic situation with COVID-19 decease, as well as due to current geopolitical circumstances in the world, we are facing the shortage of steel and therefore the impossibility of delivering the contracted products within the agreed deadlines. It is thus necessary to find suitable steel for replacement. The procedure for selecting one such steel for substituting the deficit steel 25CrMo4, for the purposes of producing a responsible welded assembly, is described in this paper. After the careful analysis, the steel 42CrMo4 was taken into consideration as a possible substitute material. Prior to applying the new selected steel, it was necessary to perform the following tests: analyze its chemical composition, determine its most important mechanical properties and evaluate its weldability. Then, the optimal welding and heat treatment technologies were determined, so that the quality of the responsible welded structure would meet all the requirements, as the structure made of originally used steel. For the new steel, all the mentioned and some additional tests were conducted and the appropriate welding technology was prescribed. To verify the selected technology, appropriate tests were conducted on the model welded samples, the results of which are presented in this paper. Based on the analysis of the obtained results, it was concluded that the 25CrMo4 steel can be replaced by the 42CrMo4 steel, however, with the mandatory application of appropriate supplementary measures.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136317334","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 Lean Manufacturing (LM) practices have gained popularity as a means to achieve high-quality products while reducing costs and delivery times. However, the implementation of LM can be challenging, with a high failure rate. This paper aims to explore the perspectives of employees and managers on LM practices implemented in an automotive company. The research involved primary and secondary data analysis, combining observation, interviews, and a questionnaire survey. The survey assessed knowledge and skills, impact on quality improvement, motivation, supervisor support, control, and engagement in LM development. The results highlight the importance of management commitment and support in achieving successful LM implementation. Moreover, the study emphasises the positive impact of LM practices on employee motivation and the overall quality of processes and products. The PDCA cycle emerged as the most impactful tool, along with other recognised tools like Poka Yoke, Andon, Kaizen, Visual Management, and the 5S method. The findings contribute to understanding the implementation and effects of LM practices, providing insights for companies seeking improvement through Lean Manufacturing methodologies.
{"title":"Lean Manufacturing Practices Assessment Case Study of Automotive Company","authors":"P. Hąbek, Juan J. Lavios, Adam Grzywa","doi":"10.30657/pea.2023.29.36","DOIUrl":"https://doi.org/10.30657/pea.2023.29.36","url":null,"abstract":"Abstract Lean Manufacturing (LM) practices have gained popularity as a means to achieve high-quality products while reducing costs and delivery times. However, the implementation of LM can be challenging, with a high failure rate. This paper aims to explore the perspectives of employees and managers on LM practices implemented in an automotive company. The research involved primary and secondary data analysis, combining observation, interviews, and a questionnaire survey. The survey assessed knowledge and skills, impact on quality improvement, motivation, supervisor support, control, and engagement in LM development. The results highlight the importance of management commitment and support in achieving successful LM implementation. Moreover, the study emphasises the positive impact of LM practices on employee motivation and the overall quality of processes and products. The PDCA cycle emerged as the most impactful tool, along with other recognised tools like Poka Yoke, Andon, Kaizen, Visual Management, and the 5S method. The findings contribute to understanding the implementation and effects of LM practices, providing insights for companies seeking improvement through Lean Manufacturing methodologies.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47773821","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 Fused Deposition Modeling (FDM) is a widely used 3D printing technology that can create a diverse range of objects. However, achieving the desired mechanical properties of printed parts can be challenging due to various printing parameters. Residual stress is a critical issue in FDM, which can significantly impact the performance of printed parts. In this study, we used Digimat-AM software to conduct numerical simulations and predict residual stress in Acrylonitrile Butadiene Styrene (ABS) material printed using FDM. We varied six printing parameters, including printing temperature, printing speed, and infill percentage, with four values for each parameter. Our results showed that residual stress was positively correlated with printing temperature, printing speed, and infill percentage, and negatively correlated with layer thickness. Bed temperature did not have a significant effect on residual stress. Finally, using a concentric infill pattern produced the lowest residual stress. The methodology used in this study involved conducting numerical simulations with Digimat-AM software, which allowed us to accurately predict residual stress in FDM-printed ABS parts. The simulations were conducted by systematically varying six printing parameters, with four values for each parameter. The resulting data allowed us to identify correlations between residual stress and printing parameters, and to determine the optimal printing conditions for minimizing residual stress. Our findings contribute to the existing literature by providing insight into the relationship between residual stress and printing parameters in FDM. This information is important for designers and manufacturers who wish to optimize their FDM printing processes for improved part performance. Overall, our study highlights the importance of considering residual stress in FDM printing, and provides valuable information for optimizing the printing process to reduce residual stress in ABS parts.
{"title":"Correlation Between Printing Parameters and Residual Stress in Additive Manufacturing: A Numerical Simulation Approach","authors":"Hussein Alzyod, P. Ficzere","doi":"10.30657/pea.2023.29.32","DOIUrl":"https://doi.org/10.30657/pea.2023.29.32","url":null,"abstract":"Abstract Fused Deposition Modeling (FDM) is a widely used 3D printing technology that can create a diverse range of objects. However, achieving the desired mechanical properties of printed parts can be challenging due to various printing parameters. Residual stress is a critical issue in FDM, which can significantly impact the performance of printed parts. In this study, we used Digimat-AM software to conduct numerical simulations and predict residual stress in Acrylonitrile Butadiene Styrene (ABS) material printed using FDM. We varied six printing parameters, including printing temperature, printing speed, and infill percentage, with four values for each parameter. Our results showed that residual stress was positively correlated with printing temperature, printing speed, and infill percentage, and negatively correlated with layer thickness. Bed temperature did not have a significant effect on residual stress. Finally, using a concentric infill pattern produced the lowest residual stress. The methodology used in this study involved conducting numerical simulations with Digimat-AM software, which allowed us to accurately predict residual stress in FDM-printed ABS parts. The simulations were conducted by systematically varying six printing parameters, with four values for each parameter. The resulting data allowed us to identify correlations between residual stress and printing parameters, and to determine the optimal printing conditions for minimizing residual stress. Our findings contribute to the existing literature by providing insight into the relationship between residual stress and printing parameters in FDM. This information is important for designers and manufacturers who wish to optimize their FDM printing processes for improved part performance. Overall, our study highlights the importance of considering residual stress in FDM printing, and provides valuable information for optimizing the printing process to reduce residual stress in ABS parts.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45751475","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}
J. C. Sá, A. Carvalho, Luís Fonseca, G. Santos, J. Dinis-Carvalho
Abstract Sustainable development is a subject of intense discussion, mainly due to climate change, pollution, and increased waste, among other factors. The governments of various countries worldwide have been setting environmental targets for emissions and consumption to combat climate change and improve the state of our planet. Therefore, it is necessary to have an environmental policy with stakeholder engagement. The literature review method, bibliometric analysis, and visual mappings were applied to understand how these sustainable targets are formulated and used by companies to comply with the limits proposed by governments. The Web of Science platform allowed data collection about Lean and Green, Key Performance Indicators (KPI), and Science-Based Targets (SBT). The carried analyses identified the most relevant papers using the PRISMA method, including their authors, their temporal distribution, and a correlation map using the VOSviewer tool. Hence, mapping the current state of the art concerning the SBT topic. Furthermore, a novel conceptual model is proposed to integrate lean and green and create new KPI applied to the definition of SBT to give companies a path and tools to achieve the climate targets efficiently. Future research should focus on the implementation of the conceptual model in several companies to understand its impact to correct and improve the conceptual model proposed.
摘要可持续发展是一个激烈讨论的主题，主要是由于气候变化、污染和废物增加等因素。世界各国政府一直在制定排放和消费的环境目标，以应对气候变化，改善地球状况。因此，有必要制定一项利益相关者参与的环境政策。采用文献综述法、文献计量分析法和视觉映射法来了解公司如何制定和使用这些可持续目标，以遵守政府提出的限制。Web of Science平台允许收集有关精益和绿色、关键绩效指标（KPI）和基于科学的目标（SBT）的数据。所进行的分析使用PRISMA方法确定了最相关的论文，包括它们的作者、时间分布和使用VOSviewer工具的相关性图。因此，映射SBT主题的当前技术状态。此外，提出了一个新的概念模型，将精益和绿色相结合，并创建了新的KPI，应用于SBT的定义，为企业提供了有效实现气候目标的途径和工具。未来的研究应侧重于概念模型在几家公司的实施，以了解其对纠正和改进所提出的概念模型的影响。
{"title":"Science Based Targets and the factors contributing to the sustainable development of an organisation from a Literature review to a conceptual model","authors":"J. C. Sá, A. Carvalho, Luís Fonseca, G. Santos, J. Dinis-Carvalho","doi":"10.30657/pea.2023.29.28","DOIUrl":"https://doi.org/10.30657/pea.2023.29.28","url":null,"abstract":"Abstract Sustainable development is a subject of intense discussion, mainly due to climate change, pollution, and increased waste, among other factors. The governments of various countries worldwide have been setting environmental targets for emissions and consumption to combat climate change and improve the state of our planet. Therefore, it is necessary to have an environmental policy with stakeholder engagement. The literature review method, bibliometric analysis, and visual mappings were applied to understand how these sustainable targets are formulated and used by companies to comply with the limits proposed by governments. The Web of Science platform allowed data collection about Lean and Green, Key Performance Indicators (KPI), and Science-Based Targets (SBT). The carried analyses identified the most relevant papers using the PRISMA method, including their authors, their temporal distribution, and a correlation map using the VOSviewer tool. Hence, mapping the current state of the art concerning the SBT topic. Furthermore, a novel conceptual model is proposed to integrate lean and green and create new KPI applied to the definition of SBT to give companies a path and tools to achieve the climate targets efficiently. Future research should focus on the implementation of the conceptual model in several companies to understand its impact to correct and improve the conceptual model proposed.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41636449","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}
U. Andrusiv, I. Popadynets, H. Zelinska, V. Lagodiienko, Halyna Kupalova, N. Goncharenko
Abstract The purpose of the article is to justify the use of a matrix approach to the interpretation of the results of evaluating the effectiveness of the development of labor potential. As evaluation indicators, we propose the level of management of labor potential, which is determined using the grapho-analytical method “potential square” and the level of management of the competitiveness of the business entity, which is determined using the graphic method “polygon of competitiveness”. To identify these indicators, we used a developed three-point aggregated scale, which made it possible to quantitatively divide the formed quadrants according to threshold values: the zone of high efficiency in the use of labor potential (quadrant 9(MLLPQPHigh; MLCBECBHigh)), average (quadrants 3 (MLLPQPHigh; MLCBEC-BLow), 5 (MLLPQPAverage; MLCBECBAverage), 6 (MLLPQPHigh; MLCBECBAverage), 7 (MLLPQPLow; MLCBECBHigh), 8 (MLLPQPAverage; MLCBECBHigh)), and low (quadrants 1 (MLLPQPLow; MLCBECBLow), 2 (MLLPQPAverage; MLCBECBLow), 4 (MLLPQPLow; MLCBECBAverage)). The value of the research lies in the fact that the proposed matrix approach to the results of evaluating the effectiveness of the development of labor potential makes it possible to take measures to improve its management. It is emphasized that in today’s conditions and the limitation of financial resources, the vector of management should be aimed at preserving the labor potential, using its opportunities and experience.
{"title":"Labor potential as a factor of ensuring competitive advantages of business entities in Ukraine","authors":"U. Andrusiv, I. Popadynets, H. Zelinska, V. Lagodiienko, Halyna Kupalova, N. Goncharenko","doi":"10.30657/pea.2023.29.30","DOIUrl":"https://doi.org/10.30657/pea.2023.29.30","url":null,"abstract":"Abstract The purpose of the article is to justify the use of a matrix approach to the interpretation of the results of evaluating the effectiveness of the development of labor potential. As evaluation indicators, we propose the level of management of labor potential, which is determined using the grapho-analytical method “potential square” and the level of management of the competitiveness of the business entity, which is determined using the graphic method “polygon of competitiveness”. To identify these indicators, we used a developed three-point aggregated scale, which made it possible to quantitatively divide the formed quadrants according to threshold values: the zone of high efficiency in the use of labor potential (quadrant 9(MLLPQPHigh; MLCBECBHigh)), average (quadrants 3 (MLLPQPHigh; MLCBEC-BLow), 5 (MLLPQPAverage; MLCBECBAverage), 6 (MLLPQPHigh; MLCBECBAverage), 7 (MLLPQPLow; MLCBECBHigh), 8 (MLLPQPAverage; MLCBECBHigh)), and low (quadrants 1 (MLLPQPLow; MLCBECBLow), 2 (MLLPQPAverage; MLCBECBLow), 4 (MLLPQPLow; MLCBECBAverage)). The value of the research lies in the fact that the proposed matrix approach to the results of evaluating the effectiveness of the development of labor potential makes it possible to take measures to improve its management. It is emphasized that in today’s conditions and the limitation of financial resources, the vector of management should be aimed at preserving the labor potential, using its opportunities and experience.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41349119","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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