Browsing Department of Industrial, Manufacturing, and Systems Engineering by Title
Now showing items 72-91 of 167
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High-dimensional Adaptive Dynamic Programming With Mixed Integer Linear Programming
Dynamic programming (DP, Bellman 1957) is a classic mathematical programming approach to solve multistage decision problems. The “Bellman equation” uses a recursive concept that includes both the current contribution and ... -
Hybrid Simulation Modeling for Humanitarian Relief Chain Coordination
(Emerald, 2015-12-07)**Please note that the full text is embargoed** ABSTRACT: Purpose The purpose of this paper is to present a conceptual framework for a hybrid simulation model that can be used to study the decision making and behaviors ... -
A Hybrid Simulation Modeling Framework for Regional Food Hubs
(Springer, 2017-02-06)**Please note that the full text is embargoed** ABSTRACT: As demand for regionally-produced food has increased, regional food hubs have helped to facilitate connections between consumers and small-scale food producers. ... -
IDENTIFYING AND ADDRESSING IMPROVEMENT OPPORTUNITIES IN PRIMARY CARE CLINICS
(2020-05-14)**Please note that the full text is embargoed until 5/25/2024** ABSTRACT: The main aim of this dissertation is to study how unrecognized opportunities for improving efficiency of in-person patient visits in a primary care ... -
IMPLEMENTATION PROCESS FOR AUTOMATED DATA ANALYSIS IN MINERAL EXTRACTION COMPANIES
(2015-11-24)The need to determine knowledge from increasing amounts of information and raw data is a current and ongoing goal [1]. As technology continues to advance in the ability to collect and save more and more data, companies ... -
INCREASING THE SAFETY OF BICYCLISTS USING A CYCLIST BEHAVIOR QUESTIONNAIRE AND A SMARTPHONE BASED APPLICATION
(2023-08-23)**Please note that the full text is embargoed until 8/1/2025** ABSTRACT: Bicycling is beneficial for health, the environment, road users’ flexibility, and personal expenses. Compared to motor vehicles, they are an active ... -
Integrated Nurse Staffing And Assignment Under Uncertainty
(Industrial & Manufacturing Engineering, 2007-09-17)One of the major problems in the United States health care system is a shortage of nurses. Baby boomers and an increasing elderly population are the main reasons for a rapidly growing demand for nurses. Besides the decline ... -
Integration Of Data Mining Algorithms And Control Charts For Multivariate And Autocorrelated Processes
(Industrial & Manufacturing Engineering, 2010-03-03)The objective of this dissertation is to integrate state-of-the-art data mining algorithms with statistical process control (SPC) tools to achieve efficient monitoring in multivariate and autocorrelated process. Process ... -
Inventory Pooling In Petroleum Upstream Logistics Network
(Industrial & Manufacturing Engineering, 2014-07-14)The petroleum industry is heading toward the era of efficiency and cost reduction. Oilfield service companies have to raise their efficiency to stay competitive. This dissertation explores the efficiency issues facing an ... -
Joint Kinematics, Muscle Activity And Postural Strain For Finger- Intensive Operation Of Small Hand- Held Devices
(Industrial & Manufacturing Engineering, 2014)Background: Extensive movement of fingers while playing video games, and while browsing or texting in a smartphone often result in medically recognized repetitive strain injuries such as "PlayStation thumb" or "Blackberry ... -
LASSO Based State Transition Modeling with Interactions in Adaptive Interdisciplinary Pain Management
(2022-08-10)The Eugene McDermott Center for Pain Management at the University of Texas Southwestern Medical Center has an interdisciplinary pain management program for chronic pain. This program treats patients with a holistic view ... -
LEVERAGING AI AND SUPPLY CHAIN TECHNOLOGIES WITH THERMAL IMAGING AND TELEMEDICINE FOR EARLY DETECTION AND PREVENTION OF COVID-19 AND RESPIRATORY INFECTIONS IN URM COMMUNITIES
(2022-05-18)The underserved population could be at risk during the times of crisis, unless there is strong involvement from government agencies such as local and state Health departments and federal Center for Disease Control (CDC). ... -
Logistics Best Practices for Regional Food Systems: A Review
(MDPI, 11-01-2018)**Please note that the full text is embargoed** ABSTRACT: The modern industrial food supply system faces many major environmental and social sustainability challenges. Regional food systems, in which consumers prefer ... -
Machine learning for ultraviolet spectral prediction
(2023-05-24)Machine Learning has found wide applications in material science, including dielectric polymers, superconducting materials, and drug property prediction. The use of data analytics and machine learning methods to predict ... -
Machine Learning Framework for Nonlinear and Interaction Relationships Involving Categorical and Numerical Features
(2021-09-01)Traditionally, physical scientific experiments have been conducted extensively to study and understand the behavior of a process or a system. With the advancement of computing technology in recent years, computer codes and ... -
MARS Knot Positioning and Global Optimization
(2019-08-12)Multivariate adaptive regression splines (MARS) is a statistical modeling approach with wide real-world applications. In the MARS model building process, knot positioning is a critical step that potentially affects the ... -
Material Flow Control In A Sequence Dependent Job Shop Via Order Release And Dispatching Mechanisms
(Industrial & Manufacturing Engineering, 2008-09-17)Material flow control on the shop floor involves the release and dispatching of orders to meet customer due dates, while minimizing operating costs. The early release of orders to the shop floor does not necessarily ensure ... -
MATHEMATICAL MODELING APPROACHES IN SUSTAINABLE FOOD SUPPLY CHAINS
(2020-05-19)Access to high quality and safe food is vital for sustainable development in societies. Perishable foods lose a major portion of their quality after harvesting until the consumption point due to poor storage and distribution ... -
MATHEMATICAL OPTIMIZATION TECHNIQUES FOR MANAGING SELECTIVE CATALYTIC REDUCTION FOR A FLEET OF COAL-FIRED POWER PLANTS
(2016-05-19)Major commercial electricity generation is done by burning fossil fuels out of which coal-fired power plants produce a substantial quantity of electricity worldwide. The United States has large reserves of coal, and it is ... -
Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For Coal-fired Power Plants
(Industrial & Manufacturing Engineering, 2011-07-14)Coal is one of the most important energy sources in the U.S. However, it is also one of the biggest air polluters where the major emissions generated from coal combustion are oxides of nitrogen (NOx). NOx leads to ozone ...