Development of an advanced manufacturing cloud for machine tool industry based on AVM technology

Hung, Min‐Hsiung; Lin, Yu-Chuan; Huang, Hsien‐Cheng; Hsieh, Min-Hsuan; Yang, Haw‐Ching; Cheng, Fan‐Tien

doi:10.1109/coase.2013.6654048

Cited by 13 publications

(3 citation statements)

References 9 publications

(12 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To implement products as services, VM solutions must be moved to the cloud. The partial cloud VM architecture pushes the model creation server, VM manager, and central database to the cloud Kao 2012a, 2012b;Hsieh et al 2019;Hung et al 2013). In this case, the VM operation is kept close to the production apparatus, enabling real-time implementation.…”

Section: Fab-wide Architecturementioning

confidence: 99%

Virtual metrology as an approach for product quality estimation in Industry 4.0: a systematic review and integrative conceptual framework

Dreyfus

Psarommatis

May

et al. 2021

International Journal of Production Research

View full text Add to dashboard Cite

Virtual metrology (VM) involves estimating a product's quality directly from production process data without physically measuring it. This enables the product quality of each unit of production to be monitored in real time, while preserving the process efficiency. Initially developed for the semiconductor industry, VM has recently been examined for use in other industrial fields. VM is enabled by components such as quality estimators and drift detectors. It enhances various industrial applications such as machine control and sampling decision systems. The literature lacks a comprehensive summary and a systematic review of the state of the art in VM. To fill this gap, this study followed a systematic methodology to conduct a complete and structured literature review of VM. This paper presents a detailed analysis of the 199 papers that we identified based on our search and selection criteria. Following our methodological framework, we assigned these papers to categories and highlighted shortcomings. Finally, we discussed VM's use in various industrial fields, underlining its potential for every manufacturing industry. This study and the proposed framework are useful for both practitioners and academicians since they raise crucial theoretical and managerial questions as well as provide suggestions for further research on this critical topic.

show abstract

Section: Fab-wide Architecturementioning

confidence: 99%

Virtual metrology as an approach for product quality estimation in Industry 4.0: a systematic review and integrative conceptual framework

Dreyfus

Psarommatis

May

et al. 2021

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…Manuscript received: December 15, 2014 / Accepted: January 27, 2015 machine tools, by adopting cloud computing technology and serviceoriented architecture (SOA) [2]. The proposed OICS includes three core functional modules: the Ontology inference module for conducting knowledge inferences, the virtual machine tool (VMT) module for performing cutting simulations, and the request filtering module for ensuring that multiple users correctly manipulate the Ontology data in a cloud environment.…”

Section: Oics: a Knowledge-based Cloud Manufacturing System For Machimentioning

confidence: 99%

“…The advances of artificial intelligence are mature and widely applied to various industries. The machine-tool enterprises are desirous of adding these smart technologies to machine tools, for increasing their global competitiveness [1][2]. Among various types of intelligence, the knowledge-inference technology is frequently used in the machine-tool domain to effectively improve various machining-related operations [3].…”

Section: Introductionmentioning

confidence: 99%