Pub Date : 2023-01-01DOI: 10.1504/ijmtm.2023.10059824
Yulong Wan, Xiaoying Bai
{"title":"Analysis of the factors influencing the sustainable development of manufacturing industry under the wave of industry 4.0","authors":"Yulong Wan, Xiaoying Bai","doi":"10.1504/ijmtm.2023.10059824","DOIUrl":"https://doi.org/10.1504/ijmtm.2023.10059824","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136372115","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 : 2023-01-01DOI: 10.1504/ijmtm.2023.133469
Qingsong Zhang
{"title":"Traceability method of industrial product logistics information based on RFID middleware","authors":"Qingsong Zhang","doi":"10.1504/ijmtm.2023.133469","DOIUrl":"https://doi.org/10.1504/ijmtm.2023.133469","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135549304","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 : 2023-01-01DOI: 10.1504/ijmtm.2023.133686
Rosa Francesca De Masi, Menanno Marialuisa, Silvia Ruggiero, Giuseppe Peter Vanoli, Matteo Mario Savino
Today, the continuous improvement of refrigeration systems is a topic of discussion both for energy and for environmental sector. The purpose of this work is to develop a research methodology to compare the environmental impacts of two industrial refrigerators through life cycle assessment (LCA). The research was stimulated by the need to identify technology solutions that allows high performances, low energy consumption and low environmental impact. Within the study, trough LCA we appraise the impacts long by the whole lifecycle - from cradle to grave - of two typologies of industrial refrigerator having different insulations technologies. Then, we develop a comparative analysis through different LCA assessment methods between two models having different insulations technologies. Among the main results, the analysis shows that the insulating material does not have high environmental impact, while the highest impact is due to internal and external transports.
{"title":"Managing the life cycle assessment for high-performance refrigerators through a comparative analysis of the impacts","authors":"Rosa Francesca De Masi, Menanno Marialuisa, Silvia Ruggiero, Giuseppe Peter Vanoli, Matteo Mario Savino","doi":"10.1504/ijmtm.2023.133686","DOIUrl":"https://doi.org/10.1504/ijmtm.2023.133686","url":null,"abstract":"Today, the continuous improvement of refrigeration systems is a topic of discussion both for energy and for environmental sector. The purpose of this work is to develop a research methodology to compare the environmental impacts of two industrial refrigerators through life cycle assessment (LCA). The research was stimulated by the need to identify technology solutions that allows high performances, low energy consumption and low environmental impact. Within the study, trough LCA we appraise the impacts long by the whole lifecycle - from cradle to grave - of two typologies of industrial refrigerator having different insulations technologies. Then, we develop a comparative analysis through different LCA assessment methods between two models having different insulations technologies. Among the main results, the analysis shows that the insulating material does not have high environmental impact, while the highest impact is due to internal and external transports.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135844746","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 : 2023-01-01DOI: 10.1504/ijmtm.2023.10056628
Gaikwad N.A
{"title":"Digital Packaging Design Method of Intelligent Products Based on Internet of Things Technology","authors":"Gaikwad N.A","doi":"10.1504/ijmtm.2023.10056628","DOIUrl":"https://doi.org/10.1504/ijmtm.2023.10056628","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85219907","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 : 2023-01-01DOI: 10.1504/ijmtm.2023.10059391
Habib Allah Ranei Kordshouli, Ali Mohammadi, Zahra Khoshsepehr, Moslem Alimohammadlou
{"title":"The fourth industrial revolution: mapping the future","authors":"Habib Allah Ranei Kordshouli, Ali Mohammadi, Zahra Khoshsepehr, Moslem Alimohammadlou","doi":"10.1504/ijmtm.2023.10059391","DOIUrl":"https://doi.org/10.1504/ijmtm.2023.10059391","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135749569","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 : 2023-01-01DOI: 10.1504/ijmtm.2023.133475
Jian Yan
{"title":"Adaptive scheduling of agricultural machinery equipment production lines for intelligent manufacturing","authors":"Jian Yan","doi":"10.1504/ijmtm.2023.133475","DOIUrl":"https://doi.org/10.1504/ijmtm.2023.133475","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135550234","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 : 2023-01-01DOI: 10.1504/ijmtm.2023.133476
Chengye Zhang
{"title":"Construction of human resource allocation model of flow production line based on fuzzy mathematics","authors":"Chengye Zhang","doi":"10.1504/ijmtm.2023.133476","DOIUrl":"https://doi.org/10.1504/ijmtm.2023.133476","url":null,"abstract":"","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135550502","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 : 2023-01-01DOI: 10.1504/ijmtm.2023.133466
Guan He, Honglan Yang
Aiming at the problem of long calculation time and slow response speed of traditional intelligent transportation robot path planning algorithm, an intelligent transportation robot path planning algorithm based on extended Kalman filter is proposed. By analysing the relevant principles of optical flow localisation, aiming at the fact that a single optical flow sensor can not meet the needs of all application scenarios, multiple optical flow sensors are fused through extended Kalman filter, and the system model and observation model of intelligent transportation robot are established at the same time. The optical flow sensor is fixed on the intelligent transportation robot, the two-dimensional coordinates of the intelligent transportation robot are obtained in real time, and the moving path is planned. The results show that the proposed algorithm can reduce the operation time and improve the response efficiency.
{"title":"A path planning algorithm of intelligent transportation robot based on extended Kalman filter","authors":"Guan He, Honglan Yang","doi":"10.1504/ijmtm.2023.133466","DOIUrl":"https://doi.org/10.1504/ijmtm.2023.133466","url":null,"abstract":"Aiming at the problem of long calculation time and slow response speed of traditional intelligent transportation robot path planning algorithm, an intelligent transportation robot path planning algorithm based on extended Kalman filter is proposed. By analysing the relevant principles of optical flow localisation, aiming at the fact that a single optical flow sensor can not meet the needs of all application scenarios, multiple optical flow sensors are fused through extended Kalman filter, and the system model and observation model of intelligent transportation robot are established at the same time. The optical flow sensor is fixed on the intelligent transportation robot, the two-dimensional coordinates of the intelligent transportation robot are obtained in real time, and the moving path is planned. The results show that the proposed algorithm can reduce the operation time and improve the response efficiency.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135551271","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 : 2023-01-01DOI: 10.1504/ijmtm.2023.133477
Jinping Qiu
In order to overcome the problem of poor accuracy of innovation capability evaluation model, this paper proposes a manufacturing innovation capability evaluation model based on factor analysis. Firstly, the evaluation index system of manufacturing innovation ability is built. Secondly, the extension analytic hierarchy process is used to obtain the evaluation index weight of innovation ability. Finally, the data variables are selected to construct the sample matrix. The original data are standardised, transformed and tested according to the KMO test standard. The evaluation of manufacturing innovation ability is realised by calculating the factor score, and the evaluation model of manufacturing innovation ability is constructed based on the factor analysis method. The experimental results show that the evaluation time of innovation ability of this model is only 8.6 s. The accuracy of the evaluation model in this paper is 99%, which shows that the reliability evaluation result of the model is better.
{"title":"An evaluation model of manufacturing innovation ability based on factor analysis method","authors":"Jinping Qiu","doi":"10.1504/ijmtm.2023.133477","DOIUrl":"https://doi.org/10.1504/ijmtm.2023.133477","url":null,"abstract":"In order to overcome the problem of poor accuracy of innovation capability evaluation model, this paper proposes a manufacturing innovation capability evaluation model based on factor analysis. Firstly, the evaluation index system of manufacturing innovation ability is built. Secondly, the extension analytic hierarchy process is used to obtain the evaluation index weight of innovation ability. Finally, the data variables are selected to construct the sample matrix. The original data are standardised, transformed and tested according to the KMO test standard. The evaluation of manufacturing innovation ability is realised by calculating the factor score, and the evaluation model of manufacturing innovation ability is constructed based on the factor analysis method. The experimental results show that the evaluation time of innovation ability of this model is only 8.6 s. The accuracy of the evaluation model in this paper is 99%, which shows that the reliability evaluation result of the model is better.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135550232","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 : 2023-01-01DOI: 10.1504/ijmtm.2023.133687
Manne Kaushik, Abid Musa Mulla, Nikhil P. Raut
This paper studies the effects of submerged arc welding (SAW) on impact and hardness properties of the low carbon steel plate's in-line with SAE 1020 grade. The test specimen of low carbon steel plates with 10 mm thickness used as base material for preparing joint using submerged arc welding. The impact and hardness properties are investigated using Charpy impact testing machine and Brinells hardness testing machine. The results obtained for testing shows that welded joint of low carbon steel plate have superior hardness and impact strength than the other methods. The reason for better mechanical properties is due to the presence of finer grains in heat affected zone and fusion zone. Welding test samples were tested by varying the three process parameters like welding voltage, current, travel speed and fluxes.
{"title":"Effect of submerged arc welding process on hardness and impact properties of fabricated SAE 1020 low carbon steel plates","authors":"Manne Kaushik, Abid Musa Mulla, Nikhil P. Raut","doi":"10.1504/ijmtm.2023.133687","DOIUrl":"https://doi.org/10.1504/ijmtm.2023.133687","url":null,"abstract":"This paper studies the effects of submerged arc welding (SAW) on impact and hardness properties of the low carbon steel plate's in-line with SAE 1020 grade. The test specimen of low carbon steel plates with 10 mm thickness used as base material for preparing joint using submerged arc welding. The impact and hardness properties are investigated using Charpy impact testing machine and Brinells hardness testing machine. The results obtained for testing shows that welded joint of low carbon steel plate have superior hardness and impact strength than the other methods. The reason for better mechanical properties is due to the presence of finer grains in heat affected zone and fusion zone. Welding test samples were tested by varying the three process parameters like welding voltage, current, travel speed and fluxes.","PeriodicalId":38792,"journal":{"name":"International Journal of Manufacturing Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135844443","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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