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Classification on real-time videos of galvanized steel surface defect using support vector machines and convolutional neural network, based on data created by generative adversarial networks
(Massachusetts Institute of Technology, 2020)
With the current surge of Industry 4.0 in high-end technology industries, enabling complete digitalization and machine-to-machine interaction, and with the vulgarization of its techniques, commodity-based industries are ...
Multidisciplinary design optimization of part geometry in CAD
(Massachusetts Institute of Technology, 2020)
Multidisciplinary design optimization (MDO) is the process of searching for designs which best satisfy a set of objectives, while respecting that the appropriateness of a design is dependent on more than just a single ...
Multi-classification and object detection in intelligent manufacturing
(Massachusetts Institute of Technology, 2020)
Defect detection in industries is typically conducted manually. While there are state-of-the-art machine vision techniques for automated inspection systems, there is still a gap between research advancement and practical ...
Fault detection in a continuous production line using adaptive control chart limits
(Massachusetts Institute of Technology, 2020)
The fourth industrial revolution, known as Industry 4.0, has emerged in the past few decades. With its focus on digitization and interconnectivity between devices, data collection, and operator behavior, implementing ...
Investigation of ion transfer efficiency through multi-channel capillaries for a Desorption Electrospray Ionization (DESI) interface
(Massachusetts Institute of Technology, 2021)
Desorption Electrospray Ionization (DESI) coupled with mass spectrometry (MS) is an efficient imaging technique for obtaining the spatial distribution of molecular species from a surface. In this study, we experimented ...
Financial analysis in multidisciplinary design optimization
(Massachusetts Institute of Technology, 2021)
MDO is moving beyond the small group of NASA and Aerospace companies and is increasingly being adopted by organizations around the world. With MDO, we can optimize across multiple disciplines and find the ideal design which ...
Optimization of material flow by lean tools and RFID integration into a vendor-involved eKanban system
(Massachusetts Institute of Technology, 2021)
To survive in the global marketplace today that is more dynamic and complex than ever, companies must have a proper and up-to-date material flow design to ensure agile and resilient operations. The importance of monitoring ...
Machine vision for in-process inspection on an automated peptide manufacturing platform
(Massachusetts Institute of Technology, 2020)
Automated inspection of a manufacturing line utilizing machine vision is a powerful tool used to increase efficiency, reduce variation, and maintain a high-quality standard in modern manufacturing systems. The aim of this ...
Development of solutions to reduce variability in material flow at a factory
(Massachusetts Institute of Technology, 2021)
This thesis focuses on improving the flow of material in an analytical instrument company, the Waters Corporation. One main pain point experienced at Waters is an observed uneven distribution in when instruments were ...
A case study of multidisciplinary design optimization implementation process management
(Massachusetts Institute of Technology, 2020)
Multidisciplinary Design Optimization (MDO) has been developed in the last decades in the aircraft industry with the aim of optimizing complex products while cutting costs and product development time. Despite this, MDO ...