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Operations Research, Systems Engineering and Industrial Engineering
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- Autonomous vehicles (1)
- Drone (1)
- Facility layout (1)
- Gaussian regression (1)
- Health care (1)
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- Heuristic search (1)
- High-density parking (1)
- Human Factors (1)
- Human Factors Engineering (1)
- Humanitarian logistics (1)
- Interval linear programming (1)
- Kidney Donation (1)
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- Operations research (1)
- Optimization (1)
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- Regression (1)
- Reinforcement learning (1)
- Semi Structured Interviews (1)
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- Uncertainty modeling (1)
Articles 1 - 5 of 5
Full-Text Articles in Engineering
Drone Location And Scheduling Problems In Humanitarian Logistics., Zabih Ghelichi
Drone Location And Scheduling Problems In Humanitarian Logistics., Zabih Ghelichi
Electronic Theses and Dissertations
Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, are a promising technology for the last-mile delivery of medical and aid items in humanitarian logistics. In emergency scenarios, like disasters, where transportation networks are destroyed and people are stranded, drones can accelerate the delivery of urgently needed items, e.g., food and water, insulin shots and blood pressure pills, to those trapped in the disaster-affected areas. Drones can also provide logistics services in many non-emergency situations by delivering medical items, e.g., vaccine shots and lab specimens, to remote communities and hard-to-access locations. The contribution of using UAVs goes beyond merely having …
High-Density Parking For Autonomous Vehicles., Parag J. Siddique
High-Density Parking For Autonomous Vehicles., Parag J. Siddique
Electronic Theses and Dissertations
In a common parking lot, much of the space is devoted to lanes. Lanes must not be blocked for one simple reason: a blocked car might need to leave before the car that blocks it. However, the advent of autonomous vehicles gives us an opportunity to overcome this constraint, and to achieve a higher storage capacity of cars. Taking advantage of self-parking and intelligent communication systems of autonomous vehicles, we propose puzzle-based parking, a high-density design for a parking lot. We introduce a novel method of vehicle parking, which leads to maximum parking density. We then propose a heuristic method …
Machine Learning Models For Lodi Indices., Lucas A. Bruns
Machine Learning Models For Lodi Indices., Lucas A. Bruns
Electronic Theses and Dissertations
Two indices published monthly by the Logistics and Distribution Institute (LoDI) predict changes in logistics and distribution activity levels nationally and regionally and are useful for organizations when planning projects and expenses. This research validates the current linear regression model, updates the index conversion method, and introduces machine learning models.
New source data are introduced to the models to validate the current linear regression model and a comparative analysis verifies that the current source data are robust. A rolling average is used for index conversion in place of a fixed reference month to reflect recent changes in employment levels.
Three …
An Investigation Of Barriers And Facilitators To Living Kidney Donation, Rachel E. Crenshaw
An Investigation Of Barriers And Facilitators To Living Kidney Donation, Rachel E. Crenshaw
Electronic Theses and Dissertations
There is strong interest in increasing living kidney donation, as the need for kidney transplants is quite high. Although previous studies outline some barriers and facilitators associated with donating, living kidney donation comprises only a small percentage of overall kidney transplants and thus further research on factors influencing the decision to donate is needed to find ways to increase the donor pool. Ten semi-structured interviews of living kidney donors were completed and analyzed for common themes that either support the current literature or surface additional barriers and facilitators. In addition, a systematic review and analysis of social medial support groups …
Optimization With Interval Data: New Problems, Algorithms, And Applications., Mohsen Mohammadi Dehcheshmeh
Optimization With Interval Data: New Problems, Algorithms, And Applications., Mohsen Mohammadi Dehcheshmeh
Electronic Theses and Dissertations
The parameters of real-world optimization problems are often uncertain due to the failure of exact estimation of data entries. Throughout the years, several approaches have been developed to cope with uncertainty in the input parameters of optimization problems, such as robust optimization, stochastic optimization, fuzzy programming, parametric programming, and interval optimization. Each of these approaches tackles the uncertainty in the input data with different assumptions on the source of uncertainty and imposes different requirements on the returned solutions. In this dissertation, the approach we take is that of interval optimization, and more specifically, interval linear programming. The two main problems …