Operations Research, Systems Engineering and Industrial Engineering Commons^™

Developing Leading And Lagging Indicators To Enhance Equipment Reliability In A Lean System, Dhanush Agara Mallesh

Masters Theses

With increasing complexity in equipment, the failure rates are becoming a critical metric due to the unplanned maintenance in a production environment. Unplanned maintenance in manufacturing process is created issues with downtimes and decreasing the reliability of equipment. Failures in equipment have resulted in the loss of revenue to organizations encouraging maintenance practitioners to analyze ways to change unplanned to planned maintenance. Efficient failure prediction models are being developed to learn about the failures in advance. With this information, failures predicted can reduce the downtimes in the system and improve the throughput.

The goal of this thesis is to predict …

Developing A Platform For Integrating Disability Issues Into City Municipality Decisions; Case Study: City Of Knoxville, Sravanthi Pamu

Masters Theses

The People with Disabilities (PWD) & Senior Citizen (SC) are isolated from the mainstream society, and they face several barriers in everyday life. There is no communication platform for them to express their concerns, in turn, participate in the city municipality policy decisions related to PWD- & SC-friendly city development. The purpose of this research is to integrate disability and senior citizen issues in the city of Knoxville to the city council decisions. The comprehensive literature search is done to identify the frequently mentioned disability and age-friendly city factors. An effective survey was designed to identify the issues in collaboration …

Impacts Of The Heterogeneity In Consumer Valuation Of Fuel Economy On Corporate Average Fuel Economy Standards Compliance, Nawei Liu

Masters Theses

This study investigated potential impacts of the heterogeneity in consumer valuation of fuel economy on the compliance with fuel economy standards with two analytical approaches. One approach is to provide theoretical analysis of the heterogeneity impacts on the market acceptance of high-efficiency vehicles. The other approach utilizes a consumer choice based simulation method to analyze the heterogeneity impacts on the compliance with the Corporate Average Fuel Economy (CAFE) Standards for the entire light duty vehicle fleet in the U.S. Our findings suggest two possible conditions which are defined based on relative acceptance of high-efficiency vehicles in the market, and they …

Two Multi-Objective Stochastic Models For Project Team Formation Under Uncertainty In Time Requirements, Fahimeh Rahmanniyay

Masters Theses

Team formation is one of the key stages in project management. The cost associated with the individuals who form a team and the quality of the tasks completed by the team are two of the main concerns in team formation problems. In this study, two mathematical models to optimize simultaneously cost and quality in a team formation problem are developed. Because team formation problem arises in uncertain environment, different scenarios are defined for the time requirement of the project. Two-stage stochastic programming and multi-stage stochastic programming are applied to solve the first and the second model respectively. The presented models …

Viability Of Additive Manufacturing For Production And Tooling Applications: A Development Of The Business Case, Christopher Charles Griffin

Masters Theses

As marketplace competition drives industrial innovation to increase product value and decrease production costs, emerging technologies foster a new era through Industry 4.0. One aspect of the movement, additive manufacturing, or 3D [three-dimensional] printing, contains potential to revolutionize traditional manufacturing techniques and approach to design. However, uncertainties within the processes and high investment costs deter corporations from implementing and developing the technology. While several industries are benefitting from additive manufacturing’s current state, as the technology continues to progress, more companies will need to evaluate it for industrial viability and adoption. As such, there exists a need for a framework to …

Reducing Wait Time Prediction In Hospital Emergency Room: Lean Analysis Using A Random Forest Model, Gajanan Arha

Masters Theses

Most of the patients visiting emergency departments face long waiting times due to overcrowding which is a major concern across the hospital in the United States. Emergency Department (ED) overcrowding is a common phenomenon across hospitals, which leads to issues for the hospital management, such as increased patient s dissatisfaction and an increase in the number of patients choosing to terminate their ED visit without being attended to by a medical healthcare professional. Patients who have to Leave Without Being Seen (LWBS) by doctors often leads to loss of revenue to hospitals encouraging healthcare professionals to analyze ways to improve …