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Fare inspection patrolling under in-station selective inspection policy
A patrolling strategy that defines fare inspection frequencies on a proof-of-payment transportation system is operationally useful to the transit...
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Causal deep learning for explainable vision-based quality inspection under visual interference
Vision-based quality inspection is a key step to ensure the quality control of complex industrial products. However, accurate defect recognition for...
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In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting
Selective laser melting is the most commonly used additive manufacturing technique for fabricating metal components. However, the SLMed part quality...
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Automatic quality inspection in additive manufacturing using semi-supervised deep learning
Ensuring quality production is essential in additive manufacturing processes such as selective laser sintering (SLS). Deep learning based automated...
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Active learning and novel model calibration measurements for automated visual inspection in manufacturing
Quality control is a crucial activity performed by manufacturing enterprises to ensure that their products meet quality standards and avoid potential...
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Selective Maintenance Optimization Under Uncertainties
Due to limited maintenance resources, such as budget, time, and manpower, selective maintenance has widespread applications in both industry and...
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Robust selective maintenance optimization of series–parallel mission-critical systems subject to maintenance quality uncertainty
This paper studies the optimization of the joint selective maintenance and repairperson assignment problem when the quality of maintenance actions is...
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A steel surface defect inspection approach towards smart industrial monitoring
With the advance in Industry 4.0, smart industrial monitoring has been proposed to timely discover faults and defects in industrial processes. Steel...
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Analysis of the selective traveling salesman problem with time-dependent profits
We consider a generalization of the selective traveling salesman problem (STSP) in which the benefit of visiting a location changes over time. This...
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Develo** an explainable hybrid deep learning model in digital transformation: an empirical study
Automated inspection is an important component of digital transformation. However, most deep learning models that have been widely applied in...
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Computer aided manufacturing method for surface silicon steel inspection based on an efficient anisotropic diffusion algorithm
Quality control in silicon steel manufacturing process is a crucial step. The application of image processing techniques is very useful in steel...
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Intelligent inventory management with autonomation and service strategy
The manufacturer’s service to the customer is one of the critical factors in maximizing profit. This study proposes the innovative ( Q , r ) inventory...
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Human bias in the oversight of firms: evidence from workplace safety violations
We study the effects of mood as a source of human bias on regulators’ oversight and enforcement decisions. We use weather at facilities at the time...
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A selective survey of game-theoretic models of closed-loop supply chains
This paper surveys two key issues in Closed-loop Supply Chain (CLSC) research: return functions and coordination mechanisms. The return function...
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A systematic literature review on recent trends of machine learning applications in additive manufacturing
Additive manufacturing (AM) offers the advantage of producing complex parts more efficiently and in a lesser production cycle time as compared to...
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Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review
With the high demand and sub-nanometer design for integrated circuits, surface defect complexity and frequency for semiconductor wafers have...
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Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: a review
Wire Arc Additive Manufacturing is a Direct Energy Deposition additive technology that uses the principle of wire welding to deposit layers of...
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Evaluation of the Application of YOLO Algorithm in Insulator Identification*
Insulators have a large amount of use and a large geographical span in the power grid. Conventional inspection methods mainly rely on manual...
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Agile Organizational Concepts for Retail Companies in Times of Digitalization: Design and Management of Agile Organizational Structures for More Competitiveness in the Face of Changing Customer Needs
Technological change and changes in customer behavior present retail companies with structural challenges. Digitalization is driving demands for...
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Powder bed monitoring via digital image analysis in additive manufacturing
Due to the nature of Selective Laser Melting process, the built parts suffer from high chances of defects formation. Powders quality have a...
