Human-Computer-Machine Interaction for the Supervision of Flexible Manufacturing Systems: A Case Study

Hernandez, Jose Daniel; Cespedes, Edgar Schneider; Gutierrez, David Andres; Sanchez-Londoño, David; Barbieri, Giacomo; Abolghasem, Sepideh; Romero, David; Fumagalli, Luca

doi:10.1016/j.ifacol.2020.12.2803

Cited by 7 publications

(5 citation statements)

References 19 publications

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“…Finally, the technology can work with equipment engineers and key equipment vendors to improve the reading quality of RFID tags in both hardware and software. Heshan L., Xin Y., Jia G., and Su H. [3] in their research discussed the application of Artificial Intelligence and Industrial Internet of Things in Smart Manufacturing Services (SMS). In this research it is proven that AI-enabled/derived services and IIoT-driven services can facilitate collaborative production and improve production efficiency.…”

Section: Application Of Computer-integrated Manufacturing In Efforts ...mentioning

confidence: 99%

Literature Review: Application of Computer Integrated Manufacturing (CIM) to Increase Operational Effectiveness and Company Productivity

Hadi Amin,

Sukma Saputri

2023

Inf. Tech. Int. J.

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Computer Integrated Manufacturing(CIM) is a manufacturing method and the name of an automated computer system by which the individual engineering, production, marketing, and support functions of a manufacturing company are organized. In a CIM system, functional areas such as design, analysis, planning, purchasing, cost accounting, inventory control, and distribution are linked via computers providing direct control and monitoring of all process operations. This study aims to analyze and review the literature on Computer Integrated Manufacturing in previous research through references to international journal articles by considering the discussion of the application of CIM in a manufacturing industry case for production efficiency and company operations with article sampling parameters such as being indexed in Scopus Q3.

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Section: Application Of Computer-integrated Manufacturing In Efforts ...mentioning

confidence: 99%

Literature Review: Application of Computer Integrated Manufacturing (CIM) to Increase Operational Effectiveness and Company Productivity

Hadi Amin,

Sukma Saputri

2023

Inf. Tech. Int. J.

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“…Specifically, the training set meets the following two conditions: (1) Each attribute set contains enough information to establish the structural model of the system; that is, each attribute set can train a strong learner independently, and the learner itself has high generalization ability; (2) when a tag is given, each attribute set condition is independent of another attribute set, which is often difficult to achieve in the actual process [15]. en, in the process of collaborative training, each classifier screens several unlabeled samples with high prediction confidence and adds them to another tag set to provide update conditions for each other.…”

Section: Standard Cooperative Training Algorithmmentioning

confidence: 99%

“…For the classification reliability problem, it is intuitively believed that if the two classifiers trained by L have the same prediction results for the same unlabeled sample, the result will have higher classification reliability. erefore, this labeled result can be added to L to expand the training labeled sample set [15].…”

Section: Semisupervised Support Vector Machine Classificationmentioning

confidence: 99%

Improvement of English Classroom Teaching Effect Based on Real-Time Supervision of Student Status

Yin

2022

Mobile Information Systems

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For English courses, the interaction between teachers and students in the classroom teaching process has a crucial impact on the improvement of classroom teaching effects, and through real-time supervision of students’ classroom learning status, students’ learning dynamics and learning effects can be grasped in time. For this reason, this paper proposes a learning state semisupervised learning method and real-time state monitoring system based on a clustering algorithm and a self-training SVM classification algorithm. At the same time, combined with the reform of English classroom teaching, the teaching effect can be improved to the greatest extent through the supervision of students’ learning state. The experimental results show that monitoring the primary school English classroom teaching quality subject and providing skill training can help the primary school English classroom teaching quality subject predict the possible situation in the monitoring and prepare in advance in terms of thinking and skill teaching. Schools can urge primary school English classroom teaching quality monitoring subjects to have basic monitoring knowledge literacy, monitoring ability literacy, and monitoring moral literacy through primary school English classroom teaching quality monitoring knowledge training, skill training, and moral training. On the basis, the main body of primary school English classroom teaching quality monitoring can give full play to the role of the main body of monitoring when it organizes and implements monitoring. It is proved that real-time supervision of students’ status can effectively improve the effect of English classroom teaching.

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“…• Production changes: within a mass-customizing company, different variants of products must be manufactured. Therefore, the production process should automatically adapt to fulfil different production orders with the available resources by minimizing the changeover activities (Hernandez et al, 2020) • Environmental changes: in flexible manufacturing systems, small environmental changes and noise are common due to the production of different variants (Simpson et al, 1998). However, the system should not arrest the manufacturing operation or decrease its performance due to occurrence of these scenarios.…”

Section: Introductionmentioning

confidence: 99%

A Digital Twin Demonstrator to enable flexible manufacturing with robotics: a process supervision case study

Martínez

Marino

Sánchez

et al. 2021

Production & Manufacturing Research

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Manufacturing companies are facing different challenges. On the one hand, production is moving from mass-production to masscustomization and personalization. Reconfigurable-, adaptive-and evolving-factories are necessary to achieve the required flexibility. On the other hand, technology must be integrated with human skills to assist the operators in supervising and maintaining manufacturing plants with growing complexity. In line with the Industry 4.0 paradigm, a Digital Twin Demonstrator is proposed to support the supervision activity of the operator in the context of flexible manufacturing with robotics. The supervision is achieved through a Human-Computer-Machine Interaction (HCMI) enabled with the Digital Twin technology. The suggested demonstrator is implemented and validated using a lab case study where it is demonstrated how the proposed HCMI interaction enables 'close-to-real-time' supervision of the manufacturing system in its self-adaptation to production and environmental changes.

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Human-Computer-Machine Interaction for the Supervision of Flexible Manufacturing Systems: A Case Study

Cited by 7 publications

References 19 publications

Literature Review: Application of Computer Integrated Manufacturing (CIM) to Increase Operational Effectiveness and Company Productivity

Literature Review: Application of Computer Integrated Manufacturing (CIM) to Increase Operational Effectiveness and Company Productivity

Improvement of English Classroom Teaching Effect Based on Real-Time Supervision of Student Status

A Digital Twin Demonstrator to enable flexible manufacturing with robotics: a process supervision case study

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