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Operations Research, Systems Engineering and Industrial Engineering Commons™
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- Applied sciences (1)
- Constraint Programming (1)
- Deep learning (1)
- Drones (1)
- Efficient Frontier (1)
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- Feature engineering (1)
- Health and environmental sciences (1)
- Health care delivery (1)
- Healthcare (1)
- Logic-based Benders (1)
- Machine learning (1)
- Medical claims (1)
- Opioid overdose (1)
- Optimization (1)
- Prediction (1)
- Scheduling (1)
- Supply Chain (1)
- Supply chains (1)
- Survey research (1)
- Vaccines (1)
Articles 1 - 4 of 4
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Optimization Of Vaccine Supply Chains In Low- And Middle-Income Countries Utilizing Drones, Maximilian Kolter
Optimization Of Vaccine Supply Chains In Low- And Middle-Income Countries Utilizing Drones, Maximilian Kolter
Graduate Theses and Dissertations
Despite tremendous efforts from governments and humanitarian organizations, millions of children in low- and low-middle-income countries (LICs and LMICs) are still excluded from the benefits of immunization. The vaccine distribution in LICs and LMICs is challenging for several reasons, such as limited cold chain capacities, vaccine wastage, uncertain demand, and lack of access to immunization services. A promising avenue to address these issues is the utilization of drones for vaccine delivery. Drones can fly at high speed on direct paths and could enable on-demand deliveries to mitigate limited storage capacities. Further, their independence of road networks could allow them reaching …
Extracting Patterns In Medical Claims Data For Predicting Opioid Overdose, Ryan Sanders
Extracting Patterns In Medical Claims Data For Predicting Opioid Overdose, Ryan Sanders
Graduate Theses and Dissertations
The goal of this project is to develop an efficient methodology for extracting features from time-dependent variables in transaction data. Transaction data is collected at varying time intervals making feature extraction more difficult. Unsupervised representational learning techniques are investigated, and the results compared with those from other feature engineering techniques. A successful methodology provides features that improve the accuracy of any machine learning technique. This methodology is then applied to insurance claims data in order to find features to predict whether a patient is at risk of overdosing on opioids. This data covers prescription, inpatient, and outpatient transactions. Features created …
Large-Scale Solution Approaches For Healthcare And Supply Chain Scheduling, Ridvan Gedik
Large-Scale Solution Approaches For Healthcare And Supply Chain Scheduling, Ridvan Gedik
Graduate Theses and Dissertations
This research proposes novel solution techniques for two real world problems. We first consider a patient scheduling problem in a proton therapy facility with deterministic patient arrivals. In order to assess the impacts of several operational constraints, we propose single and multi-criteria linear programming models. In addition, we ensure that the strategic patient mix restrictions predetermined by the decision makers are also enforced within the planning horizon. We study the mathematical structures of the single criteria model with strict patient mix restrictions and derive analytical equations for the optimal solutions under several operational restrictions. These efforts lead to a set …
An Empirical Investigation Of Supply Chain Excellence In Healthcare, Brian Keith Smith
An Empirical Investigation Of Supply Chain Excellence In Healthcare, Brian Keith Smith
Graduate Theses and Dissertations
This research is motivated by opportunities to improve the cost and quality of healthcare delivery through improved supply chain processes. This research assesses the quality of the healthcare supply chain and identifies factors that are driving supply chain excellence among organizations in the healthcare industry. The first objective of this research is to assess the state of quality measurement in the healthcare supply chain. The achievement of this first objective is presented in Chapter 3 of this dissertation in the form of a manuscript accepted for publication in The Quality Management Journal. The second research objective is to develop …