[HTML][HTML] Application of automation for in-line quality inspection, a zero-defect manufacturing approach
Contemporary manufacturing must prioritise the sustainability of its manufacturing processes
and systems. Zero Defect Manufacturing (ZDM) focusses on minimising waste of any kind …
and systems. Zero Defect Manufacturing (ZDM) focusses on minimising waste of any kind …
[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …
conducted a comprehensive analysis of 344 eligible journal papers published between …
Zero-defect manufacturing the approach for higher manufacturing sustainability in the era of industry 4.0: a position paper
F Psarommatis, J Sousa, JP Mendonça… - International Journal of …, 2022 - Taylor & Francis
For manufacturing companies, quality management is a key feature for increasing the
competitiveness, productivity, profitability, and sustainability of their systems. Quality …
competitiveness, productivity, profitability, and sustainability of their systems. Quality …
[HTML][HTML] Human-centric zero-defect manufacturing: State-of-the-art review, perspectives, and challenges
Zero defect manufacturing (ZDM) aims at eliminating defects throughout the value stream as
well as the cost of rework and scrap. The ambitious goal of zero defects requires the …
well as the cost of rework and scrap. The ambitious goal of zero defects requires the …
[HTML][HTML] Smart manufacturing scheduling: A literature review
Within the scheduling framework, the potential of digital twin (DT) technology, based on
virtualisation and intelligent algorithms to simulate and optimise manufacturing, enables an …
virtualisation and intelligent algorithms to simulate and optimise manufacturing, enables an …
A technology maturity assessment framework for industry 5.0 machine vision systems based on systematic literature review in automotive manufacturing
FK Konstantinidis, N Myrillas, KA Tsintotas… - … Journal of Production …, 2023 - Taylor & Francis
When considering how an intelligent factory can 'see,'the answer lies in machine vision
technology. To assess the current technological advancements of machine vision systems …
technology. To assess the current technological advancements of machine vision systems …
End-to-end deep learning framework for printed circuit board manufacturing defect classification
A Bhattacharya, SG Cloutier - Scientific reports, 2022 - nature.com
We report a complete deep-learning framework using a single-step object detection model
in order to quickly and accurately detect and classify the types of manufacturing defects …
in order to quickly and accurately detect and classify the types of manufacturing defects …
Industrial ontologies for interoperability in agile and resilient manufacturing
Ontologies provide an opportunity to tackle the interoperability challenge in digital
manufacturing. Although ontologies have been used in numerous industrial projects, the …
manufacturing. Although ontologies have been used in numerous industrial projects, the …
Employee Performance Evaluation Using Multi-Attribute Utility Theory (MAUT) with PIPRECIA-S Weighting: A Case Study in Education Institution
The purpose of this study is to apply the Simplified Pivot Pairwise Relative Criteria
Importance Assessment (PIPRECIA-S) weighting model with ranking criteria or priorities in …
Importance Assessment (PIPRECIA-S) weighting model with ranking criteria or priorities in …
[HTML][HTML] Zero Defect Manufacturing ontology: A preliminary version based on standardized terms
The global transition from traditional manufacturing systems to Industry 4.0 compatible
systems has already begun. Therefore, the digitization of the manufacturing systems across …
systems has already begun. Therefore, the digitization of the manufacturing systems across …