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Now showing items 101-110 of 124
Using discrete-event simulation to increase system capacity : a case study of an assembly plant
(Massachusetts Institute of Technology, 2020)
As part of its effort to introduce new technology and to improve the manufacturing system for the 777X production line, Boeing has made a significant capital investment in the Composite Wing Center (CWC). The new facility ...
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 ...
Organizational architecture design and assessment of statistical feasibility for FSDA implementation in an airplane subassembly
(Massachusetts Institute of Technology, 2020)
Boeing is a ubiquitous name and prominent leader in the aerospace industry, maintaining dominance in part by continuously seeking to improve. Boeing is now embracing a charter to become a Global Industrial Champion in ...
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 ...
Model-free tracking control of an optical fiber drawing process using deep reinforcement learning
(Massachusetts Institute of Technology, 2020)
A deep reinforcement learning (DRL) approach for tracking control of an optical fiber drawing process is developed and evaluated. The DRL-based control is capable of regulating the fiber diameter to track either steady or ...
Optimal coordination of distributed energy resources in smart grids enabled by distributed optimization and transactive energy
(Massachusetts Institute of Technology, 2020)
Modern active distribution grids are characterized by the increasing penetration of distributed energy resources (DERs). The proper coordination and scheduling of a large numbers of these DERs can only be achieved at the ...
Retention time and solvent concentration prediction for an automated peptide manufacturing platform
(Massachusetts Institute of Technology, 2020)
This thesis investigates statistical and machine learning techniques for the regression-based prediction of peptide retention time and solvent concentration using amino acid physio-chemical properties and historical test ...
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 ...
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 ...