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Two Applications of Combinatorial Branch-and-Bound in Complex Networks and Transportation
(North Dakota State University, 2020)
In this dissertation, we show two significant applications of combinatorial branch-and-bound as an exact solution methodology in combinatorial optimization problems. In the first problem, we propose a set of new group ...
Study of Organizational Transformation from Socio-Technical Perspective
(North Dakota State University, 2020)
Organizations are constantly striving for effective and flexible means for managing challenges due to globalization and increasing customer expectations. Many in business community attempted to implement the Toyota Production ...
Optimization of Regional Empty Container Supply Chains to Support Future Investment Decisions for Developing Inland Container Terminals
(North Dakota State University, 2020)
Containerized grain shipping has been increasingly used as a shipment option by U.S. exporters. Continued evolution and investment decisions in optimizing multimodal operations is a key in continued growth for the container ...
Some Studies on Reliability Analysis of Complex Cyber-Physical Systems
(North Dakota State University, 2021)
Cyber-physical systems (CPSs), a term coined in 2006 refers to the integration of computation with physical processes. Particularly, modern critical infrastructures are examples of CPSs, like smart electric power grids, ...
Advanced Numerical Modeling in Manufacturing Processes
(North Dakota State University, 2022)
In manufacturing applications, a large number of data can be collected by experimental studies and/or sensors. This collected data is vital to improving process efficiency, scheduling maintenance activities, and predicting ...
A Study on Deep Learning for Prognostics and Health Management Applications: An Evolutionary Convolutional Long Short-Term Memory Deep Neural Network Data-Driven Model for Prognostics of Aircraft Gas Turbine
(North Dakota State University, 2022)
The fundamental concept of prognostics and health management (PHM) within the scope of Condition-Based Maintenance (CBM) is to find an approach to evaluate the system health and predict its remaining useful life (RUL). ...
Predictive Reliability Analysis and Maintenance Planning of Complex Systems Working under Dynamic Operating Conditions
(North Dakota State University, 2022)
Predictive analytics has multiple facets that range from failure predictability and optimal asset management to high-level managerial insights. Predicting the failure time of assets and estimating their reliability through ...
Implementing Industry 4.0: a study of socio-technical readiness among manufacturers in Minnesota and North Dakota
(North Dakota State University, 2024)
The implementation of Industry 4.0 has become increasingly prevalent in the manufacturing industry since its inception. With the introduction of these newer technologies, changes in personnel and organizational structures ...