E. Nedeliaková, Michal Petr Hranický, Michal Valla
Abstract The paper deals with the implementation of a modified FMEA methodology according to the EU Commission Regulation no. 402/13 on a common safety method for risk assessment and evaluation in the railway sector. The basic goal is to create a methodology for risk identification regarding the safety of services in railway transport concerning railway crossings. Reason for this research was the fact that the manager of the railway infrastructure in Slovakia has problems related to accidents at railway crossings including problems with the quality of services when trains are delayed. Based on previous research, this area has been defined as a priority for risk identification. Accidents at level crossings are often the result of complex interactions between several factors. The results of the authors’ long-term research bring direct impact on the safety and quality of rail transport services. The first effect of the research is a detailed investigation of the causes of accidents, on which the new methodology is based. This is important because understanding the causes of accidents is the first step in eliminating them. The proposed new framework of the methodology provides guidance to the railway infrastructure manager on how to identify, analyze, evaluate and eliminate the risks of their effects.
{"title":"Risk identification methodology regarding the safety and quality of railway services","authors":"E. Nedeliaková, Michal Petr Hranický, Michal Valla","doi":"10.30657/pea.2022.28.03","DOIUrl":"https://doi.org/10.30657/pea.2022.28.03","url":null,"abstract":"Abstract The paper deals with the implementation of a modified FMEA methodology according to the EU Commission Regulation no. 402/13 on a common safety method for risk assessment and evaluation in the railway sector. The basic goal is to create a methodology for risk identification regarding the safety of services in railway transport concerning railway crossings. Reason for this research was the fact that the manager of the railway infrastructure in Slovakia has problems related to accidents at railway crossings including problems with the quality of services when trains are delayed. Based on previous research, this area has been defined as a priority for risk identification. Accidents at level crossings are often the result of complex interactions between several factors. The results of the authors’ long-term research bring direct impact on the safety and quality of rail transport services. The first effect of the research is a detailed investigation of the causes of accidents, on which the new methodology is based. This is important because understanding the causes of accidents is the first step in eliminating them. The proposed new framework of the methodology provides guidance to the railway infrastructure manager on how to identify, analyze, evaluate and eliminate the risks of their effects.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":"28 1","pages":"21 - 29"},"PeriodicalIF":2.3,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47192226","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 As it is presented in literature, the AHP-QFD method is a method applicable to many sectors, namely industry. The article is a part of this framework, applying this method for the design of a recycled solar air heater according to customer’s expectations. The methodology is based on the application of QFD to detect consumer requirements, technical characteristics and their relationship matrices. while the AHP method aims to evaluate the weights of each criterion in order to make the right decision. In this study, the manufacturing process was projected from upstream to downstream, as well as a market study was established in October 2020, in Khouribga-Morocco, in which 50 people responded favourably to a survey about the most frequently searched requirements which include size, efficiency, design, price and ecology as well as their importance in a solar collector. Besides, relationship matrices and the weight matrices of the technical criteria have been established, by presenting a consistent ratio “CR” less than 10% showing the consistency of the assessment, and finally a priority given to the characteristics of the recycled solar air heater: cans and thermal insulation more superior to the others characteristics.
{"title":"AHP QFD methodology for a recycled solar collector","authors":"Meryem El Badaoui, A. Touzani","doi":"10.30657/pea.2022.28.04","DOIUrl":"https://doi.org/10.30657/pea.2022.28.04","url":null,"abstract":"Abstract As it is presented in literature, the AHP-QFD method is a method applicable to many sectors, namely industry. The article is a part of this framework, applying this method for the design of a recycled solar air heater according to customer’s expectations. The methodology is based on the application of QFD to detect consumer requirements, technical characteristics and their relationship matrices. while the AHP method aims to evaluate the weights of each criterion in order to make the right decision. In this study, the manufacturing process was projected from upstream to downstream, as well as a market study was established in October 2020, in Khouribga-Morocco, in which 50 people responded favourably to a survey about the most frequently searched requirements which include size, efficiency, design, price and ecology as well as their importance in a solar collector. Besides, relationship matrices and the weight matrices of the technical criteria have been established, by presenting a consistent ratio “CR” less than 10% showing the consistency of the assessment, and finally a priority given to the characteristics of the recycled solar air heater: cans and thermal insulation more superior to the others characteristics.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":"28 1","pages":"30 - 39"},"PeriodicalIF":2.3,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46619146","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 Profit optimization at the expense of minimal resource utilization for product development has been the major focus of prospective investors. In an attempt to realize this goal, the present research consideration is tailored towards investigating the effect of introducing dynamic facility layout design. Therefore, this research study uses an existing designed plantain flour processing plant that consists of a washing machine, grating machine, dryer, milling machine and sieving machine. Modeling techniques incorporated with software development were employed on the existing static plant layout to optimize production time and cost of each of the processing units along with the layout. Also, dynamic constraints were introduced into the layouts while mathematical models were formulated to visualize how the output and production process would be. With these models, software for the optimization of static and dynamic layouts was developed. The comparative study was carried out based on the processing time, the number of machines needed for each layout type, the cost of operation and machine procurement cost for both static and dynamic layouts. The constraints introduced ensured that the system improved within the cost limit based on the current market situation and prevented unnecessary enlargement in the plant facility size while minimizing material congestion in the system. The distinction between static and dynamic layout configurations was further established by comparing the results from the layout configurations for a set of throughput masses ranging from 50 kg to 250 kg. Results showed that the cost of operation drops drastically by 69.6 % under dynamic layout configuration.
{"title":"Comparative analysis of static and dynamic facility layouts design using the modeling of plantain flour as case study","authors":"M. K. Adeyeri, S. P. Ayodeji","doi":"10.30657/pea.2022.28.02","DOIUrl":"https://doi.org/10.30657/pea.2022.28.02","url":null,"abstract":"Abstract Profit optimization at the expense of minimal resource utilization for product development has been the major focus of prospective investors. In an attempt to realize this goal, the present research consideration is tailored towards investigating the effect of introducing dynamic facility layout design. Therefore, this research study uses an existing designed plantain flour processing plant that consists of a washing machine, grating machine, dryer, milling machine and sieving machine. Modeling techniques incorporated with software development were employed on the existing static plant layout to optimize production time and cost of each of the processing units along with the layout. Also, dynamic constraints were introduced into the layouts while mathematical models were formulated to visualize how the output and production process would be. With these models, software for the optimization of static and dynamic layouts was developed. The comparative study was carried out based on the processing time, the number of machines needed for each layout type, the cost of operation and machine procurement cost for both static and dynamic layouts. The constraints introduced ensured that the system improved within the cost limit based on the current market situation and prevented unnecessary enlargement in the plant facility size while minimizing material congestion in the system. The distinction between static and dynamic layout configurations was further established by comparing the results from the layout configurations for a set of throughput masses ranging from 50 kg to 250 kg. Results showed that the cost of operation drops drastically by 69.6 % under dynamic layout configuration.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":"28 1","pages":"12 - 20"},"PeriodicalIF":2.3,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42567723","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}
G. Pandey, Praveen Bhai Patel, Abhishek Kumar, R. Niranjan, Vikash Katiyar, A. Chandra
Abstract The present experimental investigation aims to analyse the effect of various machining parameters, such as pulse peak current (Ion), pulse on time (Ton), pulse off time (Toff) and spark voltage (SV) on the surface roughness (SR) and material removal rate(MRR) by using continuous traveling of both wire electrode (i.e. brass wire and zinc-coated brass wire). The present work also analyses the effect of types of wires, such as brass wire and zinc-coated brass wire used during machining of Titanium alloy (Ti-6Al-4V) on Surface roughness (SR) and material removal rate (MRR). This work studies the correlation between various response parameter such SR and MRR by using same machining parameter by for both wires.
{"title":"Effect of different wire materials on WEDM performance of Bio-compatible material","authors":"G. Pandey, Praveen Bhai Patel, Abhishek Kumar, R. Niranjan, Vikash Katiyar, A. Chandra","doi":"10.30657/pea.2022.28.06","DOIUrl":"https://doi.org/10.30657/pea.2022.28.06","url":null,"abstract":"Abstract The present experimental investigation aims to analyse the effect of various machining parameters, such as pulse peak current (Ion), pulse on time (Ton), pulse off time (Toff) and spark voltage (SV) on the surface roughness (SR) and material removal rate(MRR) by using continuous traveling of both wire electrode (i.e. brass wire and zinc-coated brass wire). The present work also analyses the effect of types of wires, such as brass wire and zinc-coated brass wire used during machining of Titanium alloy (Ti-6Al-4V) on Surface roughness (SR) and material removal rate (MRR). This work studies the correlation between various response parameter such SR and MRR by using same machining parameter by for both wires.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":"28 1","pages":"50 - 55"},"PeriodicalIF":2.3,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48146564","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 article describes a research study focused on determining the level of social support for innovative activities. Based on a questionnaire survey and in-depth interviews conducted among engineers working in the United States and in Poland, data was obtained to determine the level of social acceptance and the level of support from third parties and institutions encouraging innovative activities. Conducting a comparative analysis of innovation support in the United States and Poland made it possible to learn about the social climate strengthening and inhibiting innovative behavior in both countries. An important element in the aspect of social acceptance is the perception of innovation from the perspective of corporate social responsibility, responsibility of business leaders and engineers as well as sustainable development.
{"title":"Social climate of support for innovativeness","authors":"M. Grebski, M. Mazur","doi":"10.30657/pea.2022.28.12","DOIUrl":"https://doi.org/10.30657/pea.2022.28.12","url":null,"abstract":"Abstract The article describes a research study focused on determining the level of social support for innovative activities. Based on a questionnaire survey and in-depth interviews conducted among engineers working in the United States and in Poland, data was obtained to determine the level of social acceptance and the level of support from third parties and institutions encouraging innovative activities. Conducting a comparative analysis of innovation support in the United States and Poland made it possible to learn about the social climate strengthening and inhibiting innovative behavior in both countries. An important element in the aspect of social acceptance is the perception of innovation from the perspective of corporate social responsibility, responsibility of business leaders and engineers as well as sustainable development.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":"28 1","pages":"110 - 116"},"PeriodicalIF":2.3,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48376156","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 This article describes the links between economic level, investment in Research & development (R&D), and Catalan freight transport between 2006 and 2016. Catalonia is the second most populous area in Spain, northeast of the Iberian Peninsula, whose economy ranks second among the Autonomous Communities, surpassed only by the Community of Madrid, to speak of a significant economic and social region. The study sought to answer the question of what economic contexts exist in the region regarding freight transport. To do all this, it uses mathematical-statistical tools to explore the relationships between real data sets, which were calculated using seven indicators. The analyses suggest a positive increase in the volume of imports and exports of goods in the region. The same is true for GDP per capita. It came as a surprise that virtually no positive correlations existed between R&D and any other indicators. In analysing the indicators, we found that the current economy was pushed back by the 2008 world economic change, similarly to international trends. At the same time, there has been rapid growth since 2010, especially in exports. This also means that Spain, particularly the Catalan region, has serious trade relations, which affect the region’s economic development and the freight transport industry.
{"title":"Statistical analysis of road freight transport in Catalonia","authors":"Adrienn Boldizsár","doi":"10.30657/pea.2022.28.05","DOIUrl":"https://doi.org/10.30657/pea.2022.28.05","url":null,"abstract":"Abstract This article describes the links between economic level, investment in Research & development (R&D), and Catalan freight transport between 2006 and 2016. Catalonia is the second most populous area in Spain, northeast of the Iberian Peninsula, whose economy ranks second among the Autonomous Communities, surpassed only by the Community of Madrid, to speak of a significant economic and social region. The study sought to answer the question of what economic contexts exist in the region regarding freight transport. To do all this, it uses mathematical-statistical tools to explore the relationships between real data sets, which were calculated using seven indicators. The analyses suggest a positive increase in the volume of imports and exports of goods in the region. The same is true for GDP per capita. It came as a surprise that virtually no positive correlations existed between R&D and any other indicators. In analysing the indicators, we found that the current economy was pushed back by the 2008 world economic change, similarly to international trends. At the same time, there has been rapid growth since 2010, especially in exports. This also means that Spain, particularly the Catalan region, has serious trade relations, which affect the region’s economic development and the freight transport industry.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":"491 1","pages":"40 - 49"},"PeriodicalIF":2.3,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69533213","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 A thriving healthcare system perfectly reflects economic development and contentment amongst the people of any region. With increasing anxiety concering health and growing medical needs, hospitals worldwide face substantial challenge to provide patients with adequate medical facilities under one roof. With a fragile state of the health industry in a developing country like India, there is a need for the hospitals to opt for international standards and comply with other premier health centers of the country. This paper aims to select the hospitals based on incongruous and conflicting criteria involving group decision-making using the Intuitionistic Fuzzy (IF) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The criteria used are concomitant to an insured public health scheme named Ayushman Bharat-National Health Protection Scheme (AB-NHPS) of the Government of India. For each alternative Euclidean distance has been used to calculate the positive and negative separation measure from the ideal solution. The relative closeness to the ideal solution has been used to rank the hospitals. The result is a list of hospitals ranked from best to worst based on the laid criteria. It can aid governing bodies in decision-making under an uncertain environment with multiple complex criteria to analyze.
蓬勃发展的医疗保健系统完美地反映了任何地区人民的经济发展和满意度。随着人们对健康的日益担忧和医疗需求的不断增长，世界各地的医院都面临着在同一屋檐下为患者提供充足医疗设施的重大挑战。在印度这样的发展中国家，医疗行业处于脆弱的状态，医院有必要选择国际标准，并遵守该国其他主要医疗中心的标准。本文旨在利用直觉模糊(IF)和TOPSIS方法，根据群体决策中不协调和冲突的标准对医院进行选择。所使用的标准与印度政府名为Ayushman Bharat-National health Protection scheme (AB-NHPS)的公共卫生保险计划相一致。对于每一个可选的欧几里得距离，已经被用来计算与理想溶液的正、负分离度量。与理想溶液的相对接近程度被用来对医院进行排名。结果是一份根据制定的标准从最好到最差的医院名单。它可以帮助管理机构在具有多个复杂标准的不确定环境下进行决策分析。
{"title":"Hospital selection under Insured Public Health Schemes in the multi-criteria group decision-making environment","authors":"M. Dev, D. Kumar, R. Mor","doi":"10.30657/pea.2022.28.01","DOIUrl":"https://doi.org/10.30657/pea.2022.28.01","url":null,"abstract":"Abstract A thriving healthcare system perfectly reflects economic development and contentment amongst the people of any region. With increasing anxiety concering health and growing medical needs, hospitals worldwide face substantial challenge to provide patients with adequate medical facilities under one roof. With a fragile state of the health industry in a developing country like India, there is a need for the hospitals to opt for international standards and comply with other premier health centers of the country. This paper aims to select the hospitals based on incongruous and conflicting criteria involving group decision-making using the Intuitionistic Fuzzy (IF) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The criteria used are concomitant to an insured public health scheme named Ayushman Bharat-National Health Protection Scheme (AB-NHPS) of the Government of India. For each alternative Euclidean distance has been used to calculate the positive and negative separation measure from the ideal solution. The relative closeness to the ideal solution has been used to rank the hospitals. The result is a list of hospitals ranked from best to worst based on the laid criteria. It can aid governing bodies in decision-making under an uncertain environment with multiple complex criteria to analyze.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":"28 1","pages":"1 - 11"},"PeriodicalIF":2.3,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47695994","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 Artificial Intelligence (AI) supports project management in industry projects increasingly more often. The article documents research results regarding the use of AI in Industry 4.0 projects. The aim of the article is to define the range of AI use in Industry 4.0 projects throughout their entire life cycle and to indentify the main stages of AI development in project management. Additionally, the article indicates the main barriers to AI use in project management identified in the studied projects. In order to identify and systemise the range of AI use, the Conceptual Framework of Using AI in Project Management presented in literature is applied. Research results indicate that we are in the early stages of AI use in projects. The studied projects use AI mainly in project administration, i.e. to complete the following tasks: simple automation of routine activities, support, and, to a very limited extent, in the area of project management, i.e. in identifying anomalies and predicting the phenomena where the anomalies will occur. The research uses the case study method, where four projects were studied: an ERP system upgrade, an implementation of an IT system supporting high-bay warehouse management, an implementation of an IoT as a data-collection sensor platform and an E-learning platform implementation. The study was conducted between 2019 and 2021, and covered the entire project life cycle, including its three stages, i.e. preparation, implementation and operation.
{"title":"Analysis of the use of artificial intelligence in the management of Industry 4.0 projects. The perspective of Polish industry","authors":"Bartosz Wachnik","doi":"10.30657/pea.2022.28.07","DOIUrl":"https://doi.org/10.30657/pea.2022.28.07","url":null,"abstract":"Abstract Artificial Intelligence (AI) supports project management in industry projects increasingly more often. The article documents research results regarding the use of AI in Industry 4.0 projects. The aim of the article is to define the range of AI use in Industry 4.0 projects throughout their entire life cycle and to indentify the main stages of AI development in project management. Additionally, the article indicates the main barriers to AI use in project management identified in the studied projects. In order to identify and systemise the range of AI use, the Conceptual Framework of Using AI in Project Management presented in literature is applied. Research results indicate that we are in the early stages of AI use in projects. The studied projects use AI mainly in project administration, i.e. to complete the following tasks: simple automation of routine activities, support, and, to a very limited extent, in the area of project management, i.e. in identifying anomalies and predicting the phenomena where the anomalies will occur. The research uses the case study method, where four projects were studied: an ERP system upgrade, an implementation of an IT system supporting high-bay warehouse management, an implementation of an IoT as a data-collection sensor platform and an E-learning platform implementation. The study was conducted between 2019 and 2021, and covered the entire project life cycle, including its three stages, i.e. preparation, implementation and operation.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":"28 1","pages":"56 - 63"},"PeriodicalIF":2.3,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42866220","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 This paper provides a methodology to assess the maturity of an organization’s readiness for change based on the use of a Fuzzy Analytic Network Process and fuzzy linguistic evaluation maturity model. This anticipatory approach’s purpose is to evaluate the extent in which an organization is ready to implement a change initiative, in order to enhance supportive behaviors and identify improvement areas before engaging the change and thus reducing change adoption failure risks. A case study for the implementation of an Energy Management System according to the ISO 50001 Standard within a factory operating in the automotive sector is provided. Rather than the classical technical approach found in energy management maturity models, this approach offers an organizational perspective. The use of the Fuzzy Analytic Network Process allows the consideration of the interrelations between factors, while the use of fuzzy logic for the evaluation through linguistic variables helps in taking the uncertainty and imprecision of respondents into consideration. This approach serves as a decision support system for decision-makers by providing the organization’s readiness maturity level as well as the identification of improvement areas that will help ensure a successful implementation of the desired change initiative. In the conducted case study, the obtained maturity level refers to an average readiness for change for the implementation of the Energy Management System and requires the definition of an improvement roadmap, comprising the following elements: ensuring top management leadership and organizational commitment and involving employees as well as internal communication on the personal and organizational benefits of the implementation of an Energy Management System.
{"title":"Development of a readiness for change maturity model: an energy management system implementation case study","authors":"Zineb Britel, A. Cherkaoui","doi":"10.30657/pea.2022.28.11","DOIUrl":"https://doi.org/10.30657/pea.2022.28.11","url":null,"abstract":"Abstract This paper provides a methodology to assess the maturity of an organization’s readiness for change based on the use of a Fuzzy Analytic Network Process and fuzzy linguistic evaluation maturity model. This anticipatory approach’s purpose is to evaluate the extent in which an organization is ready to implement a change initiative, in order to enhance supportive behaviors and identify improvement areas before engaging the change and thus reducing change adoption failure risks. A case study for the implementation of an Energy Management System according to the ISO 50001 Standard within a factory operating in the automotive sector is provided. Rather than the classical technical approach found in energy management maturity models, this approach offers an organizational perspective. The use of the Fuzzy Analytic Network Process allows the consideration of the interrelations between factors, while the use of fuzzy logic for the evaluation through linguistic variables helps in taking the uncertainty and imprecision of respondents into consideration. This approach serves as a decision support system for decision-makers by providing the organization’s readiness maturity level as well as the identification of improvement areas that will help ensure a successful implementation of the desired change initiative. In the conducted case study, the obtained maturity level refers to an average readiness for change for the implementation of the Energy Management System and requires the definition of an improvement roadmap, comprising the following elements: ensuring top management leadership and organizational commitment and involving employees as well as internal communication on the personal and organizational benefits of the implementation of an Energy Management System.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":"28 1","pages":"93 - 109"},"PeriodicalIF":2.3,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44896105","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 Thermal hardening is widely used nowadays for modification of steel bar properties and obtaining effective reinforcing material. Strength and deformation characteristics of thermally hardened reinforcement is the complex indicator of reinforcement efficiency. Therefore, reliable assessment of physico-mechanical characteristics of thermally hardened rebar is topical and important issue. This article is intended to the analysis of physico-mechanical characteristics of thermally hardened rebar on the basis of experimental data. Thorough statistical processing of experimental data was made and specific features of strength parameters were identified. Analytical model of strength characteristics is proposed, which enables to take into account inhomogeneous strength properties of the rebar along its cross-section. It could be stated that assessment of physico-mechanical characteristics of thermally hardened rebar is topical and important issue, which is the prospective area of further research.
{"title":"Specifics of physico-mechanical characteristics of thermally-hardened rebar","authors":"N. Kopiika, J. Selejdak, Y. Blikharskyy","doi":"10.30657/pea.2022.28.09","DOIUrl":"https://doi.org/10.30657/pea.2022.28.09","url":null,"abstract":"Abstract Thermal hardening is widely used nowadays for modification of steel bar properties and obtaining effective reinforcing material. Strength and deformation characteristics of thermally hardened reinforcement is the complex indicator of reinforcement efficiency. Therefore, reliable assessment of physico-mechanical characteristics of thermally hardened rebar is topical and important issue. This article is intended to the analysis of physico-mechanical characteristics of thermally hardened rebar on the basis of experimental data. Thorough statistical processing of experimental data was made and specific features of strength parameters were identified. Analytical model of strength characteristics is proposed, which enables to take into account inhomogeneous strength properties of the rebar along its cross-section. It could be stated that assessment of physico-mechanical characteristics of thermally hardened rebar is topical and important issue, which is the prospective area of further research.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":"28 1","pages":"73 - 81"},"PeriodicalIF":2.3,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47689876","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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