Titlebook: Advances in Production Management Systems. Towards Smart and Digital Manufacturing; IFIP WG 5.7 Internat Bojan Lalic,Vidosav Majstorovic,Da

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书目名称Advances in Production Management Systems. Towards Smart and Digital Manufacturing影响因子(影响力)




书目名称Advances in Production Management Systems. Towards Smart and Digital Manufacturing影响因子(影响力)学科排名




书目名称Advances in Production Management Systems. Towards Smart and Digital Manufacturing网络公开度




书目名称Advances in Production Management Systems. Towards Smart and Digital Manufacturing网络公开度学科排名




书目名称Advances in Production Management Systems. Towards Smart and Digital Manufacturing被引频次




书目名称Advances in Production Management Systems. Towards Smart and Digital Manufacturing被引频次学科排名




书目名称Advances in Production Management Systems. Towards Smart and Digital Manufacturing年度引用




书目名称Advances in Production Management Systems. Towards Smart and Digital Manufacturing年度引用学科排名




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书目名称Advances in Production Management Systems. Towards Smart and Digital Manufacturing读者反馈学科排名

adjacent

agonist

Galina Ilieva,Stanislava Klisarovausing the didactic setups by applying an augmented reality solution. The presented solution was implemented on a didactic setup for control of a three-phase asynchronous motor. In addition to improving the safety, the proposed solution allows the students to autonomously use the didactic setups beyond regular teaching hours.

表示向下

Boguslaw Szlachetko,Michal Lowerh of this article is to adopt a methodology of three areas; (a) Human resource processes, (b) Industry 4.0 pillars and (c) Process knowledge, where links between these three generate opportunities to address for further research.

巨头

炼油厂

Lecture Notes in Computer Scienceel based on a highly efficient gradient boosting decision tree in order to predict machine errors or tool failures. Although the case study is strictly experimental, we can conclude that explainable AI in form of focused analytic and reliable prediction model can reasonably contribute to prediction of maintenance tasks.

engender

Inscrutable

Generalized Nets for Agent-Based Modeling combined with an outlook of the future of work of operators, based on the Operator 4.0 vision. The challenges categorized in this paper can be used to identify opportunities for improvement in the operators’ cognitive support in present factories as well as for researchers and developers of Operator 3.0 support solutions.

CARK

Xiaofei Zhang,Chong Feng,Heyan Huangems that automatically record operational data, 88.3% of manufacturing companies are creating an immense amount of data through ERP systems, and 78.6% of companies are using a digital exchange with suppliers or customers. The results reveal the big potential for the Big Data in the manufacturing sector in emerging economies.

镀金