Lithuania‘s district heating (DH) network tends to maintain high heat transfer temperatures, which limit the efficiency of the system. The aim of this study is to assess the impact of DH and reduced heat transfer temperature in the building on space heating and the possibility of reducing the heat transfer temperature (down to 60 °C) in the DH network by looking at different scenarios and the heat demand of buildings. Three alternatives were analysed: the installation of a temperature-lowering module (mixing unit) in the thermal chamber and the retro-fitting of existing piping and heating appliances, where the temperature of the DH fluid is lowered up to 60 °C and the temperature of the radiators is lowered to 60/40/20. The possibility of lowering the DH heat transfer temperature without upgrading the network by installing heat pumps individually in the buildings or in the heat chamber is examined. An hourly data analysis of a 2-year heating system model for a typical building showed that lowering the DHW temperature to 60 °C and leaving the existing area of heating appliances in the building will not meet the heat demand of the buildings.
{"title":"POSSIBILITIES OF APPLYING A LOW-TEMPERATURE CENTRALIZED HEAT SUPPLY NETWORK IN A MULTI-APARTMENT BUILDING DISTRICT","authors":"Edita Rugieniūtė, Juozas Bielskus","doi":"10.3846/mla.2024.21317","DOIUrl":"https://doi.org/10.3846/mla.2024.21317","url":null,"abstract":"Lithuania‘s district heating (DH) network tends to maintain high heat transfer temperatures, which limit the efficiency of the system. The aim of this study is to assess the impact of DH and reduced heat transfer temperature in the building on space heating and the possibility of reducing the heat transfer temperature (down to 60 °C) in the DH network by looking at different scenarios and the heat demand of buildings. Three alternatives were analysed: the installation of a temperature-lowering module (mixing unit) in the thermal chamber and the retro-fitting of existing piping and heating appliances, where the temperature of the DH fluid is lowered up to 60 °C and the temperature of the radiators is lowered to 60/40/20. The possibility of lowering the DH heat transfer temperature without upgrading the network by installing heat pumps individually in the buildings or in the heat chamber is examined. An hourly data analysis of a 2-year heating system model for a typical building showed that lowering the DHW temperature to 60 °C and leaving the existing area of heating appliances in the building will not meet the heat demand of the buildings.","PeriodicalId":509183,"journal":{"name":"Mokslas - Lietuvos ateitis","volume":"38 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141345851","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}
Technical support of IT infrastructure is a crucial aspect of organizational operations, with the most challenging task being ensuring service continuity. Quality support guarantees high IT efficiency, but complex incidents reduce support quality and require effective management. Incident management includes configuration processes and control of technical solutions. To improve technical support, adhering to both quantitative and qualitative standards and considering system specifics is necessary. According to service level agreements (SLA), the resolution time of incidents is important. „Service Desk“ tools, applying machine learning methods, can help optimize these processes. Incorrectly classified user requests lead to additional work for the IT team and delay incident resolution. Machine learning methods, such as K-means clustering, Random Forest regression, and classification, can optimize incident management and speed up resolution time. The research analyzes „Service Desk“ incident data to model resolution times and improve incident management.
IT 基础设施的技术支持是组织运营的一个重要方面，其中最具挑战性的任务是确保服务的连续性。高质量的支持是 IT 高效率的保证，但复杂的事件会降低支持质量，因此需要有效的管理。事件管理包括技术解决方案的配置流程和控制。要改进技术支持，必须同时遵守定量和定性标准，并考虑系统的具体情况。根据服务水平协议（SLA），事件的解决时间非常重要。应用机器学习方法的 "服务台 "工具可以帮助优化这些流程。对用户请求的不正确分类会给 IT 团队带来额外的工作，并延误事件的解决。K 均值聚类、随机森林回归和分类等机器学习方法可以优化事件管理并加快解决时间。该研究分析了 "服务台 "事件数据，以模拟解决时间并改进事件管理。
{"title":"IMPROVEMENT OF INCIDENT MANAGEMENT MODEL USING MACHINE LEARNING METHODS","authors":"Roman Jevsejev, Mindaugas Bereiša","doi":"10.3846/mla.2024.21633","DOIUrl":"https://doi.org/10.3846/mla.2024.21633","url":null,"abstract":"Technical support of IT infrastructure is a crucial aspect of organizational operations, with the most challenging task being ensuring service continuity. Quality support guarantees high IT efficiency, but complex incidents reduce support quality and require effective management. Incident management includes configuration processes and control of technical solutions. To improve technical support, adhering to both quantitative and qualitative standards and considering system specifics is necessary. According to service level agreements (SLA), the resolution time of incidents is important. „Service Desk“ tools, applying machine learning methods, can help optimize these processes. Incorrectly classified user requests lead to additional work for the IT team and delay incident resolution. Machine learning methods, such as K-means clustering, Random Forest regression, and classification, can optimize incident management and speed up resolution time. The research analyzes „Service Desk“ incident data to model resolution times and improve incident management.","PeriodicalId":509183,"journal":{"name":"Mokslas - Lietuvos ateitis","volume":"71 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377105","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}
Plastic is increasingly used worldwide and is becoming an essential part of everyday life. There are many scientific articles on recycling or recycling methods for plastics, but so far there are few solutions for the use of the waste generated by plastic de-waste treatment processes. Proper management of plastic waste can reduce the negative impact on the environment and human beings. In this paper, the waste generated during the mechanical processing of plastic is investigated its suitability for biofilter loading. In this way, the amount of plastic waste generated could be reduced and the air could be cleaned from unpleasant odours and other pollutants generated during the treatment of plastic waste.
{"title":"RESEARCH AND ANALYSIS OF THE POTENTIAL USE OF PLASTIC WASTE FROM THE MECHANICAL PROCESSING OF PLASTICS","authors":"Emilija Galeckaitė, Eglė Marčiulaitienė","doi":"10.3846/mla.2024.21323","DOIUrl":"https://doi.org/10.3846/mla.2024.21323","url":null,"abstract":"Plastic is increasingly used worldwide and is becoming an essential part of everyday life. There are many scientific articles on recycling or recycling methods for plastics, but so far there are few solutions for the use of the waste generated by plastic de-waste treatment processes. Proper management of plastic waste can reduce the negative impact on the environment and human beings. In this paper, the waste generated during the mechanical processing of plastic is investigated its suitability for biofilter loading. In this way, the amount of plastic waste generated could be reduced and the air could be cleaned from unpleasant odours and other pollutants generated during the treatment of plastic waste.","PeriodicalId":509183,"journal":{"name":"Mokslas - Lietuvos ateitis","volume":"9 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379570","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}
The increasing global demand for renewable energy sources has led to interest in generating biogas from aquatic plant biomass. This research examines the pretreatment methods of biomass, aiming to enhance the efficiency of biogas production processes. The analysis presents mechanical, chemical, biological, or combined pretreatment techniques, assessing their respective advantages, limitations, and potential synergies. The review extends beyond individual methodologies to identify potential synergies or sequential applications that could maximize biogas production efficiency. This study ultimately facilitates moving the field forward, contributes to the transition to more sustainable energy solutions, identifies gaps in existing researches, paving the way for future investigations and combat to solve upcoming energy problems.
{"title":"A REVIEW OF AQUATIC PLANT BIOMASS PRETREATMENT METHODS FOR BIOGAS PRODUCTION","authors":"Zamira Kazizova, A. Zagorskis","doi":"10.3846/mla.2024.21313","DOIUrl":"https://doi.org/10.3846/mla.2024.21313","url":null,"abstract":"The increasing global demand for renewable energy sources has led to interest in generating biogas from aquatic plant biomass. This research examines the pretreatment methods of biomass, aiming to enhance the efficiency of biogas production processes. The analysis presents mechanical, chemical, biological, or combined pretreatment techniques, assessing their respective advantages, limitations, and potential synergies. The review extends beyond individual methodologies to identify potential synergies or sequential applications that could maximize biogas production efficiency. This study ultimately facilitates moving the field forward, contributes to the transition to more sustainable energy solutions, identifies gaps in existing researches, paving the way for future investigations and combat to solve upcoming energy problems.","PeriodicalId":509183,"journal":{"name":"Mokslas - Lietuvos ateitis","volume":"64 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141268403","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}
Lithuania’s total road network consists of more than 84000 km of roads, of which more than 21000 km are national roads. Roads of national importance are managed by the Lithuanian Road Administration. The remaining roads are classified as local roads managed by local governments. Road installation and maintenance often lead to the problem of surface water drainage and accumulation on the road surface. The aim of this study is to identify and propose the most appropriate permeable asphalt pavement construction to solve this problem, taking into account the purpose of the application and the class of pavement structure. The scope of the study identifies three recommended permeable asphalt pavement designs for the installation of DK 0.1-DK 1 pavement structures in ancillary streets, parking and recreation areas where light vehicle traffic with occasional heavy vehicle traffic. It has also been found that in areas of high traffic intensity, it is appropriate to use an alternative to permeable pavements – a permeable pavement design for the shoulder, where the roadway structure is impermeable to water and the shoulders are permeable to water (a permeable pavement structure is installed). The recommended permeable asphalt pavement structures, when properly selected, reduce the risk of flooding on the roadway.
{"title":"APPLICATION OF PERMEABLE ASPHALT PAVEMENT CONSTRUCTION IN TRAFFIC AREAS","authors":"Ieva Jakubėnaitė, A. Vaitkus, Judita Škulteckė","doi":"10.3846/mla.2024.21287","DOIUrl":"https://doi.org/10.3846/mla.2024.21287","url":null,"abstract":"Lithuania’s total road network consists of more than 84000 km of roads, of which more than 21000 km are national roads. Roads of national importance are managed by the Lithuanian Road Administration. The remaining roads are classified as local roads managed by local governments. Road installation and maintenance often lead to the problem of surface water drainage and accumulation on the road surface. The aim of this study is to identify and propose the most appropriate permeable asphalt pavement construction to solve this problem, taking into account the purpose of the application and the class of pavement structure. The scope of the study identifies three recommended permeable asphalt pavement designs for the installation of DK 0.1-DK 1 pavement structures in ancillary streets, parking and recreation areas where light vehicle traffic with occasional heavy vehicle traffic. It has also been found that in areas of high traffic intensity, it is appropriate to use an alternative to permeable pavements – a permeable pavement design for the shoulder, where the roadway structure is impermeable to water and the shoulders are permeable to water (a permeable pavement structure is installed). The recommended permeable asphalt pavement structures, when properly selected, reduce the risk of flooding on the roadway.","PeriodicalId":509183,"journal":{"name":"Mokslas - Lietuvos ateitis","volume":"40 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141270316","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}
The article examines the increasingly prevalent and popular issue of electric scooters, classified as micromobility, participating in traffic in various cities worldwide and in Lithuania. The aim of the research is to present and analyze the experiences of Lithuania and foreign countries in developing infrastructure and legal frameworks for safer electric scooter traffic. It analyzes their benefits, legal regulations governing their use, and the adaptation of infrastructure for electric scooter traffic. Statistics from four years of traffic accidents involving scooters are provided, their primary locations and causes are analyzed, and conclusions and recommendations for improving electric scooter traffic safety are presented. The analysis shows that in Lithuania, the number of traffic accidents with scooters and the number of casualties in them increase annually, while the legal regulation and adaptation of infrastructure for electric scooter traffic vary among different countries.
{"title":"SAFE TRAFFIC PROBLEMS OF ELECTRIC SCOOTER IN LITHUANIA","authors":"Edita Juodvalkienė, D. Čygas, Vilma Jasiūnienė","doi":"10.3846/mla.2024.21284","DOIUrl":"https://doi.org/10.3846/mla.2024.21284","url":null,"abstract":"The article examines the increasingly prevalent and popular issue of electric scooters, classified as micromobility, participating in traffic in various cities worldwide and in Lithuania. The aim of the research is to present and analyze the experiences of Lithuania and foreign countries in developing infrastructure and legal frameworks for safer electric scooter traffic. It analyzes their benefits, legal regulations governing their use, and the adaptation of infrastructure for electric scooter traffic. Statistics from four years of traffic accidents involving scooters are provided, their primary locations and causes are analyzed, and conclusions and recommendations for improving electric scooter traffic safety are presented. The analysis shows that in Lithuania, the number of traffic accidents with scooters and the number of casualties in them increase annually, while the legal regulation and adaptation of infrastructure for electric scooter traffic vary among different countries.","PeriodicalId":509183,"journal":{"name":"Mokslas - Lietuvos ateitis","volume":"59 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140972210","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}
Thilina Ganganath Weerakoon, J. Sliogeriene, Zenonas Turskis
This study provides a thorough examination of the potential and problems associated with integrating artificial intelligence (AI) into the circular economy (CE) framework within Sri Lanka’s construction industry. The study uses approach that combines primary data obtained through a questionnaire survey involving several stakeholders with secondary data analysis from academic sources. The data were interpreted using descriptive and statistical analysis, such as Kendall’s Tau correlation and Pearson’s correlation. There is an optimistic view about AI’s potential advantages, including resource and energy conservation, even if the technology is still in its early integration phases. Nevertheless, there are still significant barriers to adoption, such as a lack of knowledge and reluctance to change. The study offers a conceptual framework for combining AI with CE principles, including IoT, computer vision, and machine learning technologies to enhance the Reduce, Reuse, and Recycle (3R) CE principles. This framework supports cooperative efforts, skill development, and policy development to support sustainable building practices in Sri Lanka.
本研究深入探讨了将人工智能（AI）纳入斯里兰卡建筑业循环经济（CE）框架的潜力和相关问题。本研究采用的方法结合了通过问卷调查获得的一手数据（涉及多个利益相关者）和学术资料来源的二手数据分析。使用描述性和统计分析（如 Kendall's Tau 相关性和 Pearson 相关性）对数据进行解释。人们对人工智能的潜在优势持乐观态度，包括节约资源和能源，尽管该技术仍处于早期整合阶段。尽管如此，采用人工智能仍存在巨大障碍，如缺乏知识和不愿改变。本研究提供了一个将人工智能与消费电子原则相结合的概念框架，包括物联网、计算机视觉和机器学习技术，以加强减量化、再利用和再循环（3R）消费电子原则。该框架支持合作努力、技能开发和政策制定，以支持斯里兰卡的可持续建筑实践。
{"title":"ASSESSING THE IMPACT OF AI INTEGRATION ON ADVANCING CIRCULAR PRACTICES IN CONSTRUCTION","authors":"Thilina Ganganath Weerakoon, J. Sliogeriene, Zenonas Turskis","doi":"10.3846/mla.2024.21029","DOIUrl":"https://doi.org/10.3846/mla.2024.21029","url":null,"abstract":"This study provides a thorough examination of the potential and problems associated with integrating artificial intelligence (AI) into the circular economy (CE) framework within Sri Lanka’s construction industry. The study uses approach that combines primary data obtained through a questionnaire survey involving several stakeholders with secondary data analysis from academic sources. The data were interpreted using descriptive and statistical analysis, such as Kendall’s Tau correlation and Pearson’s correlation. There is an optimistic view about AI’s potential advantages, including resource and energy conservation, even if the technology is still in its early integration phases. Nevertheless, there are still significant barriers to adoption, such as a lack of knowledge and reluctance to change. The study offers a conceptual framework for combining AI with CE principles, including IoT, computer vision, and machine learning technologies to enhance the Reduce, Reuse, and Recycle (3R) CE principles. This framework supports cooperative efforts, skill development, and policy development to support sustainable building practices in Sri Lanka.","PeriodicalId":509183,"journal":{"name":"Mokslas - Lietuvos ateitis","volume":"93 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141021931","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}
The article analyzes how structural changes taking place in companies affect wages and determine their changes. It is relevant to examine how the structural changes of companies are related to wage indicators, because this reveals one of the most important economic consequences of the structural changes of companies, which is also significant at the level of the national economy. The aim of the research is to theoretically base the essence of structural changes, to empirically evaluate how the structural changes of companies and wages are related. A statistical study was conducted, investigating the links between wages and structural changes in Lithuanian companies. The method of correlation-regression analysis was applied. The results of the study show that one of the most prominent structural effects affecting wages is the development of enterprise activity (judging by indicators of turnover and investment in fixed assets) – this structural change is positively correlated with wage growth. Another structural change in companies, which is associated with the increase in wages, is the growth of foreign capital in domestic companies. The results of the study have practical significance in understanding the factors that determine wage growth in the country’s companies and forecasting wage growth.
{"title":"COMPANIES‘ STRUCTURAL CHANGES AND WAGES","authors":"Anastasija Puodžiūnienė, Tomas Baležentis","doi":"10.3846/mla.2024.20241","DOIUrl":"https://doi.org/10.3846/mla.2024.20241","url":null,"abstract":"The article analyzes how structural changes taking place in companies affect wages and determine their changes. It is relevant to examine how the structural changes of companies are related to wage indicators, because this reveals one of the most important economic consequences of the structural changes of companies, which is also significant at the level of the national economy. The aim of the research is to theoretically base the essence of structural changes, to empirically evaluate how the structural changes of companies and wages are related. A statistical study was conducted, investigating the links between wages and structural changes in Lithuanian companies. The method of correlation-regression analysis was applied. The results of the study show that one of the most prominent structural effects affecting wages is the development of enterprise activity (judging by indicators of turnover and investment in fixed assets) – this structural change is positively correlated with wage growth. Another structural change in companies, which is associated with the increase in wages, is the growth of foreign capital in domestic companies. The results of the study have practical significance in understanding the factors that determine wage growth in the country’s companies and forecasting wage growth.","PeriodicalId":509183,"journal":{"name":"Mokslas - Lietuvos ateitis","volume":"98 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140723001","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}
This paper provides an analysis of the most important sustainability indicators for SSCM in construction and gives a detailed overview of what has been scientifically accomplished in the field to date, and identifies areas for further research. The most important sustainability indicators were also grouped and presented in the literature review into the main seven assessment groups of the SSCM construction industry and ranked by experts from Northern Italy and Lithuania in several different ways. Based on the data from the Table 3, it can be inferred that a harmonious work environment among ecological sustainability indicators appeared as the most crucial indicator for respondents. Environmental education was among the most important social indicators. In the legal group, work efficiency emerged as the most significant indicator, while in the physical group, sustainable resource use was crucial. In the political realm, economic and political stability was the most important, and among technological indicators, innovation stood out. Among economic indicators, profit was the most significant sustainability indicator for respondents. A general indicator importance method combined results obtained from expert surveys using various methods. The ranking of sustainability indicators in each group was not included in the calculation of the overall indicator importance, but the results were similar in both cases. The determined importance of indicator values could be adapted for further analysis, specifically for multicriteria evaluation, as per the conceptual model shown in Figure 1. This article provides members of the construction industry with detailed calculations and results of the evaluation of key sustainability indicators related to supply chain groups. This study explores several possible ways to measure the importance of sustainability indicators, which could provide further theoretical insights into SSCM in the construction industry and help develop an accurate sustainability index model.
{"title":"MEASURING SUSTAINABILITY IN SUPPLY CHAIN MANAGEMENT IN CONSTRUCTION COMPANIES","authors":"Ieva Cataldo","doi":"10.3846/mla.2024.19088","DOIUrl":"https://doi.org/10.3846/mla.2024.19088","url":null,"abstract":"This paper provides an analysis of the most important sustainability indicators for SSCM in construction and gives a detailed overview of what has been scientifically accomplished in the field to date, and identifies areas for further research. The most important sustainability indicators were also grouped and presented in the literature review into the main seven assessment groups of the SSCM construction industry and ranked by experts from Northern Italy and Lithuania in several different ways. Based on the data from the Table 3, it can be inferred that a harmonious work environment among ecological sustainability indicators appeared as the most crucial indicator for respondents. Environmental education was among the most important social indicators. In the legal group, work efficiency emerged as the most significant indicator, while in the physical group, sustainable resource use was crucial. In the political realm, economic and political stability was the most important, and among technological indicators, innovation stood out. Among economic indicators, profit was the most significant sustainability indicator for respondents. A general indicator importance method combined results obtained from expert surveys using various methods. The ranking of sustainability indicators in each group was not included in the calculation of the overall indicator importance, but the results were similar in both cases. The determined importance of indicator values could be adapted for further analysis, specifically for multicriteria evaluation, as per the conceptual model shown in Figure 1. This article provides members of the construction industry with detailed calculations and results of the evaluation of key sustainability indicators related to supply chain groups. This study explores several possible ways to measure the importance of sustainability indicators, which could provide further theoretical insights into SSCM in the construction industry and help develop an accurate sustainability index model.","PeriodicalId":509183,"journal":{"name":"Mokslas - Lietuvos ateitis","volume":"86 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140241615","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}
Over the last few years, the new industrial revolution 4.0 has spread across industries and affected the shipbuilding industry as well. Shipbuilding based on the principles of Industry 4.0 would transform the design, production, operation, maintenance, communication and value chains of the shipbuilding industry in all aspects. In order to create new value, the ship must become smart and must be manufactured in a smart shipbuilding process. Shipbuilding as an assembly industry is reliant on international trade because a large part of the value of a ship depends on intermediate inputs that are sourced from various countries around the world. Rapidly developing technologies also bring economic changes – more technologically advanced companies could be more efficient and would occupy a larger market share in the future. In the first part of this article systematics of value chains in the shipbuilding sector is analysed the added value created by digital technologies is evaluated in the efficient value creation chain, in the second part research methods are presented – correlation-regression analysis and the SAW method, in the third part the development trends of shipbuilding are evaluated.
{"title":"SHIPBUILDING TENDENCIES IN THE CONTEXT OF DIGITALIZATION","authors":"Ieva Verseckaitė, A. Jakubavičius","doi":"10.3846/mla.2024.19945","DOIUrl":"https://doi.org/10.3846/mla.2024.19945","url":null,"abstract":"Over the last few years, the new industrial revolution 4.0 has spread across industries and affected the shipbuilding industry as well. Shipbuilding based on the principles of Industry 4.0 would transform the design, production, operation, maintenance, communication and value chains of the shipbuilding industry in all aspects. In order to create new value, the ship must become smart and must be manufactured in a smart shipbuilding process. Shipbuilding as an assembly industry is reliant on international trade because a large part of the value of a ship depends on intermediate inputs that are sourced from various countries around the world. Rapidly developing technologies also bring economic changes – more technologically advanced companies could be more efficient and would occupy a larger market share in the future. In the first part of this article systematics of value chains in the shipbuilding sector is analysed the added value created by digital technologies is evaluated in the efficient value creation chain, in the second part research methods are presented – correlation-regression analysis and the SAW method, in the third part the development trends of shipbuilding are evaluated.","PeriodicalId":509183,"journal":{"name":"Mokslas - Lietuvos ateitis","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140427159","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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