Pub Date : 2024-02-15DOI: 10.1080/0951192x.2024.2314787
Amel Jaoua, Samar Masmoudi, Elisa Negri
This paper proposes a new framework for embedding an Intelligent Digital Twin (DT) in a production system with the objective of achieving more efficient real-time production planning and control. F...
{"title":"Digital twin-based reinforcement learning framework: application to autonomous mobile robot dispatching","authors":"Amel Jaoua, Samar Masmoudi, Elisa Negri","doi":"10.1080/0951192x.2024.2314787","DOIUrl":"https://doi.org/10.1080/0951192x.2024.2314787","url":null,"abstract":"This paper proposes a new framework for embedding an Intelligent Digital Twin (DT) in a production system with the objective of achieving more efficient real-time production planning and control. F...","PeriodicalId":13907,"journal":{"name":"International Journal of Computer Integrated Manufacturing","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139770060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-11DOI: 10.1080/0951192x.2024.2314785
J. Kaiser, G. Hawkridge, D. McFarlane, F. Schnicke, K. Kruger
Integration involves the systematic linking of system components, functions and solutions. For digital systems comprising low-cost components, integration enables the sharing of resources and allow...
{"title":"Effective integration of low-cost digital manufacturing systems: a reference architecture driven approach","authors":"J. Kaiser, G. Hawkridge, D. McFarlane, F. Schnicke, K. Kruger","doi":"10.1080/0951192x.2024.2314785","DOIUrl":"https://doi.org/10.1080/0951192x.2024.2314785","url":null,"abstract":"Integration involves the systematic linking of system components, functions and solutions. For digital systems comprising low-cost components, integration enables the sharing of resources and allow...","PeriodicalId":13907,"journal":{"name":"International Journal of Computer Integrated Manufacturing","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139769902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-11DOI: 10.1080/0951192x.2024.2314781
Shenquan Huang, Yujie Wang, An Long, Xiaohui Zhu, Luchuan Yu
The manufacturing cloud service recommendation model is a key technology for users to quickly discover and obtain the personalized services they need from the increasingly expanding manufacturing c...
{"title":"Manufacturing cloud service recommendation model based on deep feature learning and user preference perception","authors":"Shenquan Huang, Yujie Wang, An Long, Xiaohui Zhu, Luchuan Yu","doi":"10.1080/0951192x.2024.2314781","DOIUrl":"https://doi.org/10.1080/0951192x.2024.2314781","url":null,"abstract":"The manufacturing cloud service recommendation model is a key technology for users to quickly discover and obtain the personalized services they need from the increasingly expanding manufacturing c...","PeriodicalId":13907,"journal":{"name":"International Journal of Computer Integrated Manufacturing","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139769908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the rising concept of Industry 5.0, the worker’s needs and well-being are placed at the center of the production process. The use of extended reality can be exploited to provide the operator w...
{"title":"A comparative study for the assessment of marker-less mixed reality applications for the operator training","authors":"Agnese Brunzini, Marianna Ciccarelli, Mikhailo Sartini, Alessandra Papetti, Michele Germani","doi":"10.1080/0951192x.2024.2314793","DOIUrl":"https://doi.org/10.1080/0951192x.2024.2314793","url":null,"abstract":"With the rising concept of Industry 5.0, the worker’s needs and well-being are placed at the center of the production process. The use of extended reality can be exploited to provide the operator w...","PeriodicalId":13907,"journal":{"name":"International Journal of Computer Integrated Manufacturing","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139769821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-21DOI: 10.1080/0951192x.2023.2294442
Guolin Lyu, Robert W. Brennan
{"title":"Multi-agent modelling of cyber-physical systems for IEC 61499-based distributed intelligent automation","authors":"Guolin Lyu, Robert W. Brennan","doi":"10.1080/0951192x.2023.2294442","DOIUrl":"https://doi.org/10.1080/0951192x.2023.2294442","url":null,"abstract":"","PeriodicalId":13907,"journal":{"name":"International Journal of Computer Integrated Manufacturing","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138948993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-20DOI: 10.1080/0951192x.2023.2294441
V. Narwane, A. Gunasekaran, Bhaskar B. Gardas, Pinyarat Sirisomboonsuk
{"title":"Quantum machine learning a new frontier in smart manufacturing: a systematic literature review from period 1995 to 2021","authors":"V. Narwane, A. Gunasekaran, Bhaskar B. Gardas, Pinyarat Sirisomboonsuk","doi":"10.1080/0951192x.2023.2294441","DOIUrl":"https://doi.org/10.1080/0951192x.2023.2294441","url":null,"abstract":"","PeriodicalId":13907,"journal":{"name":"International Journal of Computer Integrated Manufacturing","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138956487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-20DOI: 10.1080/0951192x.2023.2294440
Qiang Liu, Dingkun Li, Jing Ma, Xudong Wei, Zhengyan Bai
Effective tool wear monitoring is of great importance for machining process. With existing deep learning-based methods, the end-to-end model is often combined with sensor data to predict the state ...
{"title":"A multi-input parallel convolutional attention network for tool wear monitoring","authors":"Qiang Liu, Dingkun Li, Jing Ma, Xudong Wei, Zhengyan Bai","doi":"10.1080/0951192x.2023.2294440","DOIUrl":"https://doi.org/10.1080/0951192x.2023.2294440","url":null,"abstract":"Effective tool wear monitoring is of great importance for machining process. With existing deep learning-based methods, the end-to-end model is often combined with sensor data to predict the state ...","PeriodicalId":13907,"journal":{"name":"International Journal of Computer Integrated Manufacturing","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139028363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}