Pub Date : 2023-09-05DOI: 10.1080/21681015.2023.2253817
Jiayi Fang
ABSTRACT Addressing financial risks draws attention from both government and academia. Current studies primarily focus on the impact of CSR on stock-price crash risk, overlooking the regulatory role of institutional ownership and internal control, and the mediating effect of analyst coverage. This paper investigates the relationship between CSR and stock price crash risk using data from A-share listed companies (2015–2021). Findings suggest that better CSR helps reduce stock-price crash risk. The mediating effect test shows that improved CSR attracts analysts’ attention and enhances information transparency, thus reducing stock-price crash risk. Institutional ownership, internal control and CSR have substitution relations in inhibiting stock-price crash risk. Further research shows CSR’s significant role in reducing stock-price crash risk for non-state-owned, eastern regions, and non-Big Four audited enterprises. This study enriches literature on stock-price crash risk and CSR and guide firms in reducing stock-price crash risk, promoting capital market development and enhancing enterprise evaluation systems. Graphical Abstract
{"title":"Corporate social responsibility and stock-price crash risk: test of regulation mechanism based on institutional ownership and internal control","authors":"Jiayi Fang","doi":"10.1080/21681015.2023.2253817","DOIUrl":"https://doi.org/10.1080/21681015.2023.2253817","url":null,"abstract":"ABSTRACT Addressing financial risks draws attention from both government and academia. Current studies primarily focus on the impact of CSR on stock-price crash risk, overlooking the regulatory role of institutional ownership and internal control, and the mediating effect of analyst coverage. This paper investigates the relationship between CSR and stock price crash risk using data from A-share listed companies (2015–2021). Findings suggest that better CSR helps reduce stock-price crash risk. The mediating effect test shows that improved CSR attracts analysts’ attention and enhances information transparency, thus reducing stock-price crash risk. Institutional ownership, internal control and CSR have substitution relations in inhibiting stock-price crash risk. Further research shows CSR’s significant role in reducing stock-price crash risk for non-state-owned, eastern regions, and non-Big Four audited enterprises. This study enriches literature on stock-price crash risk and CSR and guide firms in reducing stock-price crash risk, promoting capital market development and enhancing enterprise evaluation systems. Graphical Abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"1 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41338026","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}
Pub Date : 2023-08-29DOI: 10.1080/21681015.2023.2251485
Dan Li, Tianlong Chai
ABSTRACT In the context of the new industrial era, intelligent manufacturing, intelligent factories, and intelligent logistics have become hot topics during the industrial revolution. In order to meet the flexibility, flexibility, and efficiency of factory logistics in the era of Industry 4.0, and improve the punctuality of logistics distribution, a factory logistics path planning model is designed based on grid environment and Ant colony optimization algorithms. The algorithm optimizes and improves the search ability and adaptability of Ant colony optimization algorithms. The test results show that the Pheromone volatile number is 0.3, which is a moderate value. When the importance of Pheromone is 3 and the heuristic factor is 6, the average optimal cost and the average number of iterations are the minimum. As the variable increases, both evaluation indicators show a trend of decreasing first and then increasing. The improvement of the initial Pheromone can speed up the Rate of convergence of the algorithm, while the quality of the planned path results is better than that of the traditional planned path, and the shortest path length is reduced from 26.46 to 24.38. The path smoothed by B-spline curve is smooth and continuous. The algorithm proposed by the research institute converges quickly, with the shortest path value being 59.43, and the maximum reduction in path length reaching 18.44%. The optimized path length converges quickly after fluctuations, and the algorithm has strong adaptability to the environment. This model can achieve accurate logistics path planning, provide competitive solutions for the implementation of intelligent logistics in factories, and promote the 4.0 factory to build a truly intelligent factory. Graphical abstract ACO was first used to solve the Traveling Salesman Problem (TSP). Assuming there are cities on the plane, defined as, the connection between cities constitutes a combination, and the cost measure of the connection between cities is expressed as. The core of TSPE is to find the path back to the starting point after traveling through all city nodes, while ensuring the lowest cost measurement.
{"title":"Design of an improved intelligent optimization logistics path planning model for the background of the new industrial era","authors":"Dan Li, Tianlong Chai","doi":"10.1080/21681015.2023.2251485","DOIUrl":"https://doi.org/10.1080/21681015.2023.2251485","url":null,"abstract":"ABSTRACT In the context of the new industrial era, intelligent manufacturing, intelligent factories, and intelligent logistics have become hot topics during the industrial revolution. In order to meet the flexibility, flexibility, and efficiency of factory logistics in the era of Industry 4.0, and improve the punctuality of logistics distribution, a factory logistics path planning model is designed based on grid environment and Ant colony optimization algorithms. The algorithm optimizes and improves the search ability and adaptability of Ant colony optimization algorithms. The test results show that the Pheromone volatile number is 0.3, which is a moderate value. When the importance of Pheromone is 3 and the heuristic factor is 6, the average optimal cost and the average number of iterations are the minimum. As the variable increases, both evaluation indicators show a trend of decreasing first and then increasing. The improvement of the initial Pheromone can speed up the Rate of convergence of the algorithm, while the quality of the planned path results is better than that of the traditional planned path, and the shortest path length is reduced from 26.46 to 24.38. The path smoothed by B-spline curve is smooth and continuous. The algorithm proposed by the research institute converges quickly, with the shortest path value being 59.43, and the maximum reduction in path length reaching 18.44%. The optimized path length converges quickly after fluctuations, and the algorithm has strong adaptability to the environment. This model can achieve accurate logistics path planning, provide competitive solutions for the implementation of intelligent logistics in factories, and promote the 4.0 factory to build a truly intelligent factory. Graphical abstract ACO was first used to solve the Traveling Salesman Problem (TSP). Assuming there are cities on the plane, defined as, the connection between cities constitutes a combination, and the cost measure of the connection between cities is expressed as. The core of TSPE is to find the path back to the starting point after traveling through all city nodes, while ensuring the lowest cost measurement.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44742494","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}
Pub Date : 2023-08-22DOI: 10.1080/21681015.2023.2248144
R. Pitakaso, N. Nanthasamroeng, Sarayut Gonwirat, Surajet Khonjun, Chutchai Kaewta, Thanatkit Srichok, Sairoong Dinkoksung
ABSTRACT The prior research on tourist route design for heterogeneous groups primarily focused on total tourist preferences and individual fairness. In this study, we present an innovative approach by incorporating safety criteria into the optimal tourist route, an aspect that has been previously overlooked. Ensuring tourist safety during travel and attractions is of utmost importance for creating a secure and enjoyable experience. Our proposed safety-focused multi-objective tourist trip design, coupled with the modified artificial multiple-intelligence system, underwent testing in a case study involving 50 attractions and 44 tourist groups (comprising a total of 140 members). The computational results demonstrate that our approach outperforms existing methods by 16.16% to 36.26%, effectively reducing total traveling and attraction visiting risk by 26.1% compared to conventional techniques proposed in the literature. Moreover, our approach enhances the total preferences and tourist fairness by 5.83% and 25.57%, respectively. Graphical abstract
{"title":"Designing safety-oriented tourist routes for heterogeneous tourist groups using an artificial multi-intelligence system","authors":"R. Pitakaso, N. Nanthasamroeng, Sarayut Gonwirat, Surajet Khonjun, Chutchai Kaewta, Thanatkit Srichok, Sairoong Dinkoksung","doi":"10.1080/21681015.2023.2248144","DOIUrl":"https://doi.org/10.1080/21681015.2023.2248144","url":null,"abstract":"ABSTRACT The prior research on tourist route design for heterogeneous groups primarily focused on total tourist preferences and individual fairness. In this study, we present an innovative approach by incorporating safety criteria into the optimal tourist route, an aspect that has been previously overlooked. Ensuring tourist safety during travel and attractions is of utmost importance for creating a secure and enjoyable experience. Our proposed safety-focused multi-objective tourist trip design, coupled with the modified artificial multiple-intelligence system, underwent testing in a case study involving 50 attractions and 44 tourist groups (comprising a total of 140 members). The computational results demonstrate that our approach outperforms existing methods by 16.16% to 36.26%, effectively reducing total traveling and attraction visiting risk by 26.1% compared to conventional techniques proposed in the literature. Moreover, our approach enhances the total preferences and tourist fairness by 5.83% and 25.57%, respectively. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"589 - 609"},"PeriodicalIF":4.5,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48181021","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}
Pub Date : 2023-08-17DOI: 10.1080/21681015.2023.2244496
M. I. Baumer-Cardoso, L. M. Campos, D. Pigosso, W. Ashton
ABSTRACT Several circular economy indicators have been proposed at the company level, but their applicability in industrial practice is limited. It is therefore necessary to assess the usefulness of existing metrics and refine their use through practical applications across different types of companies and industries. This study assesses the usability and usefulness of the Overall Circularity Effectiveness Index. The index was applied in three different companies, such as rubber, steel, and plastic companies. Then, the usability and usefulness of the index were analyzed through a qualitative assessment considering nine criteria based on the literature. The results showed the index demonstrated to be adaptable to different business, the data collection and index calculation were simple and not too time-consuming. However, the index’s usefulness can be improved concerning gaps identification and user experience. This study contributes to deep and advance CE assessment in companies due to lack on practical application of existing circular economy metrics. Graphical abstract
{"title":"Measuring the adoption of circular economy at the company level: usefulness and applicability of the OCE index","authors":"M. I. Baumer-Cardoso, L. M. Campos, D. Pigosso, W. Ashton","doi":"10.1080/21681015.2023.2244496","DOIUrl":"https://doi.org/10.1080/21681015.2023.2244496","url":null,"abstract":"ABSTRACT Several circular economy indicators have been proposed at the company level, but their applicability in industrial practice is limited. It is therefore necessary to assess the usefulness of existing metrics and refine their use through practical applications across different types of companies and industries. This study assesses the usability and usefulness of the Overall Circularity Effectiveness Index. The index was applied in three different companies, such as rubber, steel, and plastic companies. Then, the usability and usefulness of the index were analyzed through a qualitative assessment considering nine criteria based on the literature. The results showed the index demonstrated to be adaptable to different business, the data collection and index calculation were simple and not too time-consuming. However, the index’s usefulness can be improved concerning gaps identification and user experience. This study contributes to deep and advance CE assessment in companies due to lack on practical application of existing circular economy metrics. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"572 - 588"},"PeriodicalIF":4.5,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46980994","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}
Pub Date : 2023-08-17DOI: 10.1080/21681015.2023.2242340
B. Cognet, J. Pernot, L. Rivest, Christophe Danjou
ABSTRACT Assessing the digital maturity of companies is essential to prepare for digital transformation in the context of Industry 4.0. Several digital maturity assessment models have emerged in the past few years to support this evaluation. One obstacle for companies is the impossibility of easily comparing themselves to one another quantitatively or qualitatively. This paper introduces a new way to compare digital maturity models through a quantitative framework that is compatible with a wide variety of models. Comparisons are performed in the space of the keywords used to characterize key performance indicators (KPIs) that are reverse engineered from the models. The matches are encoded in a keyword matrix that is used to automatically compute the match level of KPI pairs. The framework has been validated on 13 state-of-the-art maturity models whose analysis resulted in the identification of 451 KPIs characterized using 263 keywords structured according to 12 dimensions and 58 subdimensions. Graphical Abstract
{"title":"Systematic comparison of digital maturity assessment models","authors":"B. Cognet, J. Pernot, L. Rivest, Christophe Danjou","doi":"10.1080/21681015.2023.2242340","DOIUrl":"https://doi.org/10.1080/21681015.2023.2242340","url":null,"abstract":"ABSTRACT Assessing the digital maturity of companies is essential to prepare for digital transformation in the context of Industry 4.0. Several digital maturity assessment models have emerged in the past few years to support this evaluation. One obstacle for companies is the impossibility of easily comparing themselves to one another quantitatively or qualitatively. This paper introduces a new way to compare digital maturity models through a quantitative framework that is compatible with a wide variety of models. Comparisons are performed in the space of the keywords used to characterize key performance indicators (KPIs) that are reverse engineered from the models. The matches are encoded in a keyword matrix that is used to automatically compute the match level of KPI pairs. The framework has been validated on 13 state-of-the-art maturity models whose analysis resulted in the identification of 451 KPIs characterized using 263 keywords structured according to 12 dimensions and 58 subdimensions. Graphical Abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"519 - 537"},"PeriodicalIF":4.5,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47835468","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}
Pub Date : 2023-08-13DOI: 10.1080/21681015.2023.2242377
S. Hasan, Abu Hashan, Md Mashud, Sujan Miah, Y. Daryanto, Ming K. Lim, M. Tseng
ABSTRACT This study assesses green technology investment as well as carbon pricing regulations, including carbon tax, cap-and-offset, and cap-and-trade, to control carbon emissions from retailer inventory. A green inventory model is studied due to a lack of investigation on the simultaneous effect of green technology investment and variable demand. Prior studies neglected the demand pattern that is sensitive to product quality, pricing, and the promotional effort of a green inventory model. This study contributes guidance to retailer managers on the optimal price and replenishment cycle given a carbon pricing regulation and green technology investment plan. This study maximizes the total profit using the classical optimization technique. Two cases are involved in representing the inventory model with and without green technology investment. The carbon pricing regulations were studied. Essential theoretical derivations have been provided to show the concavity of the anticipated model. The results prove the advantages of green technology investment and carbon pricing implementation. The numerical example and sensitivity analysis are shown, and the cap-and-trade policy works efficiently within constraints to curb carbon emissions. The manager established an optimal selling price and the replenishment cycle period by forecasting the amount of investment in green technology and some transportation cost variables. Graphical abstract
{"title":"A green inventory model considering environmental emissions under carbon tax, cap-and-offset, and cap-and-trade regulations","authors":"S. Hasan, Abu Hashan, Md Mashud, Sujan Miah, Y. Daryanto, Ming K. Lim, M. Tseng","doi":"10.1080/21681015.2023.2242377","DOIUrl":"https://doi.org/10.1080/21681015.2023.2242377","url":null,"abstract":"ABSTRACT This study assesses green technology investment as well as carbon pricing regulations, including carbon tax, cap-and-offset, and cap-and-trade, to control carbon emissions from retailer inventory. A green inventory model is studied due to a lack of investigation on the simultaneous effect of green technology investment and variable demand. Prior studies neglected the demand pattern that is sensitive to product quality, pricing, and the promotional effort of a green inventory model. This study contributes guidance to retailer managers on the optimal price and replenishment cycle given a carbon pricing regulation and green technology investment plan. This study maximizes the total profit using the classical optimization technique. Two cases are involved in representing the inventory model with and without green technology investment. The carbon pricing regulations were studied. Essential theoretical derivations have been provided to show the concavity of the anticipated model. The results prove the advantages of green technology investment and carbon pricing implementation. The numerical example and sensitivity analysis are shown, and the cap-and-trade policy works efficiently within constraints to curb carbon emissions. The manager established an optimal selling price and the replenishment cycle period by forecasting the amount of investment in green technology and some transportation cost variables. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"538 - 553"},"PeriodicalIF":4.5,"publicationDate":"2023-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41611367","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}
Pub Date : 2023-08-09DOI: 10.1080/21681015.2023.2243312
Kamel Bousnina, Anis Hamza, N. Ben yahia
ABSTRACT Numerically controlled machine tools are commonly used in metalworking processes due to their precision and reproducibility. However, finding the appropriate cutting parameters and machining process using simple machining features is limited, as parts may have complex interacting machining features. This study contributes to solving this problem by integrating PSO-ANN hybrid algorithm and genetic algorithm, to predict and optimize roughness, cost, and energy consumption for interactive features. From the research carried out, it was found that the output variables were highly correlated, with coefficients above 0.97%. In addition, it was demonstrated that proper selection of machining techniques and sequences could lead to a significant reduction in energy consumption, with a 99.25% variation between minimum and maximum values. The genetic algorithm identified the optimum cutting parameters, namely Vc = 25.45 m/min, f = 0.111 mm/rev, and ap = 0.58 mm, which led to a considerable improvement in the results obtained. Graphical Abstract
{"title":"A combination of PSO-ANN hybrid algorithm and genetic algorithm to optimize technological parameters during milling 2017A alloy","authors":"Kamel Bousnina, Anis Hamza, N. Ben yahia","doi":"10.1080/21681015.2023.2243312","DOIUrl":"https://doi.org/10.1080/21681015.2023.2243312","url":null,"abstract":"ABSTRACT Numerically controlled machine tools are commonly used in metalworking processes due to their precision and reproducibility. However, finding the appropriate cutting parameters and machining process using simple machining features is limited, as parts may have complex interacting machining features. This study contributes to solving this problem by integrating PSO-ANN hybrid algorithm and genetic algorithm, to predict and optimize roughness, cost, and energy consumption for interactive features. From the research carried out, it was found that the output variables were highly correlated, with coefficients above 0.97%. In addition, it was demonstrated that proper selection of machining techniques and sequences could lead to a significant reduction in energy consumption, with a 99.25% variation between minimum and maximum values. The genetic algorithm identified the optimum cutting parameters, namely Vc = 25.45 m/min, f = 0.111 mm/rev, and ap = 0.58 mm, which led to a considerable improvement in the results obtained. Graphical Abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"554 - 571"},"PeriodicalIF":4.5,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43456006","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}
Pub Date : 2023-07-19DOI: 10.1080/21681015.2023.2234377
A. Salmasnia, Amir Shabani
ABSTRACT Nowadays, series production systems are broadly used in various branches of industry. In these kinds of production systems, any disruption in production flow can significantly increase production cost and time; therefore, a proper maintenance strategy considerably reduces the company’s costs and enhance organizational performance. In this research, a novel bottleneck-centered opportunistic maintenance policy for a series production line is proposed. First of all, the bottleneck is detected by the Lowest Production Rate method. Then, preventive maintenance time interval, reliability threshold, and number of maintenance cycles are determined by the particle swarm optimization algorithm. Finally, a novel opportunistic maintenance strategy is proposed based on analyzing the cost savings of preventive maintenance advancement and postponement. To demonstrate the model’s effectiveness, the proposed bottleneck-based opportunistic maintenance model is compared with two other maintenance models, and the results confirmed that the proposed strategy could efficiently eliminate unnecessary production breaks and achieve cost reduction. Graphical abstract
{"title":"Opportunistic maintenance modeling for series production systems based on bottleneck by considering energy consumption and market demand","authors":"A. Salmasnia, Amir Shabani","doi":"10.1080/21681015.2023.2234377","DOIUrl":"https://doi.org/10.1080/21681015.2023.2234377","url":null,"abstract":"ABSTRACT Nowadays, series production systems are broadly used in various branches of industry. In these kinds of production systems, any disruption in production flow can significantly increase production cost and time; therefore, a proper maintenance strategy considerably reduces the company’s costs and enhance organizational performance. In this research, a novel bottleneck-centered opportunistic maintenance policy for a series production line is proposed. First of all, the bottleneck is detected by the Lowest Production Rate method. Then, preventive maintenance time interval, reliability threshold, and number of maintenance cycles are determined by the particle swarm optimization algorithm. Finally, a novel opportunistic maintenance strategy is proposed based on analyzing the cost savings of preventive maintenance advancement and postponement. To demonstrate the model’s effectiveness, the proposed bottleneck-based opportunistic maintenance model is compared with two other maintenance models, and the results confirmed that the proposed strategy could efficiently eliminate unnecessary production breaks and achieve cost reduction. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"506 - 518"},"PeriodicalIF":4.5,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46300361","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}
Pub Date : 2023-07-01DOI: 10.24867/jpe-2023-01-013
Stefan Pajović, B. Radičević, Tanja Miodragović, Jovana Perić
Within this research, testing of the acoustic properties of polyurethane foam samples was conducted. The measurement of the absorption coefficient was performed using the transfer function method in an impedance tube, according to the SRPS EN ISO 10534-2:2008 standard. The tested samples represent highly elastic polyurethane foam of low density, with sample thickness ranging from 10 mm to 100 mm. The research results indicate the potential application of polyurethane foam in areas that require efficient sound insulation or noise control, particularly in the mid-frequency range. Therefore, polyurethane foam can be considered an excellent material with acoustic properties that exceed expectations within the given frequency range.
在本研究中，对聚氨酯泡沫试样的声学性能进行了测试。根据SRPS EN ISO 10534-2:2008标准，在阻抗管中使用传递函数法测量吸收系数。测试样品为低密度的高弹性聚氨酯泡沫，样品厚度从10毫米到100毫米不等。研究结果表明，聚氨酯泡沫塑料在需要有效隔声或噪声控制的领域，特别是在中频范围内具有潜在的应用前景。因此，聚氨酯泡沫可以被认为是一种优秀的材料，其声学性能在给定的频率范围内超出预期。
{"title":"ACOUSTIC PROPERTIES OF HIGHLY ELASTIC POLYURETHANE FOAM VAPEN HR 3744","authors":"Stefan Pajović, B. Radičević, Tanja Miodragović, Jovana Perić","doi":"10.24867/jpe-2023-01-013","DOIUrl":"https://doi.org/10.24867/jpe-2023-01-013","url":null,"abstract":"Within this research, testing of the acoustic properties of polyurethane foam samples was conducted. The measurement of the absorption coefficient was performed using the transfer function method in an impedance tube, according to the SRPS EN ISO 10534-2:2008 standard. The tested samples represent highly elastic polyurethane foam of low density, with sample thickness ranging from 10 mm to 100 mm. The research results indicate the potential application of polyurethane foam in areas that require efficient sound insulation or noise control, particularly in the mid-frequency range. Therefore, polyurethane foam can be considered an excellent material with acoustic properties that exceed expectations within the given frequency range.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"1 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82170015","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}
Pub Date : 2023-07-01DOI: 10.24867/jpe-2023-01-009
Milos Knezev, Aleksadar Zivkovic, D. Marinković, C. Mladjenovic, Calin Andrei, Vojin Ilic
Dynamic market conditions shows contant need to significantly shorten the time cycle of the product design phase, with demands for the lowest possible price and highest possible quality. Motorized spindle is already widely used as the main spindle of modern machine tools. Predict dynamic characteristic through numerical simulations is trend among machine tool manufacturers, especially when high accuracy is involved. Finite element method (FEM) is the most commonly used method for analyzing the dynamic behavior of the main spindle. In this work, a model was developed based on the finite element method. The obtained results are compared with experimental test.
{"title":"MODAL ANALYSIS OF MOTORIZED SPINDLE USING FINITE ELEMENT METHOD","authors":"Milos Knezev, Aleksadar Zivkovic, D. Marinković, C. Mladjenovic, Calin Andrei, Vojin Ilic","doi":"10.24867/jpe-2023-01-009","DOIUrl":"https://doi.org/10.24867/jpe-2023-01-009","url":null,"abstract":"Dynamic market conditions shows contant need to significantly shorten the time cycle of the product design phase, with demands for the lowest possible price and highest possible quality. Motorized spindle is already widely used as the main spindle of modern machine tools. Predict dynamic characteristic through numerical simulations is trend among machine tool manufacturers, especially when high accuracy is involved. Finite element method (FEM) is the most commonly used method for analyzing the dynamic behavior of the main spindle. In this work, a model was developed based on the finite element method. The obtained results are compared with experimental test.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"1 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79248386","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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