Browsing Auburn University Graduate School by Department "Industrial and Systems Engineering"
Now showing items 21-40 of 214
Characterizing Full Shift Physical Risk Factors among Hand Planter Forestry Workers
(2016-12-08)
Low back and neck/shoulder pain are commonly reported among reforestation hand planters. While some studies have documented the intensive cardiovascular demands of hand planting, limited information is available regarding ...
Closing the Gap in Electronics Manufacturing Education
(2025-12-08)
Abstract
The U.S. electronics manufacturing sector faces an urgent workforce shortage, particularly in integrated circuit (IC) packaging, printed circuit board (PCB) fabrication, and PCB assembly. While the CHIPS and ...
Collective Creativity in Scientific Communities
(2009-06-11)
Innovation is the driving force of personal growth, national wealth and social progress. Significant attention has been given to advancing cyber infrastructures, but little is known about their factors, as well as their ...
Comparing the Overlapping of Two Independent Confidence Intervals with a Single Confidence Interval for Two Normal Population Parameters
(2008-12-15)
Two overlapping confidence intervals have been used in many sources in the past 30 years to conduct statistical inferences about two normal population means. Several authors have examined the shortcomings of Overlap ...
Comprehensive Methodology for the Design Configuration and Operational Control of Shuttle-based Storage and Retrieval Systems
(2022-04-20)
During recent years, Autonomous Vehicle Storage and Retrieval Systems (AVS/RS) have been widely applied in distribution centers and production sites to meet the increasing demand for rapid and flexible large-scale warehousing ...
A Computational Study of Modern Approaches to Risk-Averse Stochastic Optimization Using Financial Portfolio Allocation Model
(2016-07-27)
We study some novel approaches to risk-averse stochastic optimization. Our
goal is to numerically evaluate whether these methods result in an improved decision
making under conditions of uncertainty. The methodology used ...
A Computational System to Solve the Warehouse Aisle Design Problem
(2017-05-17)
Order picking is the most costly operation in a warehouse. However, current warehouse design practices have been using the same design principles for more than sixty years: straight rows with parallel pick aisles and ...
Container Handling and Layout Optimization in Empty Container Depots
(2020-11-13)
In this dissertation, we explore shipping container depot layout with particular emphasis on empty container depots with material handling provided by top-lifters. Top lifters are the most common handling equipment used ...
Cournot Competition under Uncertainty in Power Markets
(2009-12-17)
As deregulation of the electric industry has come into effect in many parts of the world, the price of electricity is no longer determined by regulatory agencies. In contrast, price is determined by market demand, supply ...
Creating a Mission Architecture Step to Inform the System Engineering Process
(2016-11-02)
The purpose of this research is to develop a structured engineering mechanism that allows decision makers to have confidence in data at any given point of design and development for complex defense systems. The research ...
Cyberintrusion Detection in Critical Infrastructure
(2015-11-17)
Sophisticated cyberterrorists have su cient knowledge to devise an attack through the
Internet which could compromise critical resource delivery. As the threat of such cybercrime
escalates, defending critical infrastructure ...
Data Analytics Methods for Supply Chain Risk Management with Applications in Transportation and Manufacturing Safety
(2021-12-06)
Supply chain management aims to understand and explain how organizations should collaborate within a chain to improve the overall competitiveness of the chain and smooth the flow of the money, material, and information ...
Data and Information Flow Improvements in Manufacturing Systems
(2022-11-27)
The fourth industrial revolution, or Industry 4.0, is making its mark with a wave of efforts to digitize and digitalize data and information in manufacturing systems. Global efforts are being made to accelerate the adoption ...
A Data Driven Framework to Identify the Critical Variables, Visualize Their Conditional Relations and Predict the Outcomes of U.S. Heart Transplants
(2016-08-03)
Predicting the survival of heart transplant patients is an important, yet challenging problem since it plays a crucial role in understanding the matching procedure between a donor and a recipient. Recent studies have shown ...
A Data Driven Framework to Predict the Fatigue among Manufacturing Workers Using Wearable Sensors
(2018-07-25)
Worker fatigue has been known as a significant phenomenon in the manufacturing occupations. In these occupations, physical fatigue is a challenging ergonomic/safety issue as it lowers productivity and boosts the incidence ...
A Data Element Mapping and Analysis (DEMA) Approach for Implementing a Complete Digital Thread
(2023-08-04)
In the age of digitalization and the fourth industrial revolution, the concept of the Digital
Thread and the Model-Based Enterprise has captured both the attention and resources of countless establishments. However, despite ...
Data Mining Medication Administration Incident Data to Identify Opportunities for Improving Patient Safety
(2009-12-15)
This research analyzed historical data related to medication administration errors at a 340 bed regional medical center. The objective was to determine if data mining techniques could identify relationships within the ...
Data-Driven Approaches for Machining Efficiency Through Generalizable Tool Wear Prediction and Power Consumption Analysis
(2026-08-02)
Industry 4.0 and smart manufacturing have generated large amounts of manufacturing data, creating new opportunities to use data-driven methods to improve machining efficiency. This dissertation examines machining efficiency ...
Data-Driven Decision-Making in Sequential Systems Under Uncertainty and Imperfect Information
(2026-04-27)
This dissertation examines decision-making in sequential systems when information is in-
complete, uncertain, or costly to obtain. The first two contributions study inspection allocation
in genetic manufacturing systems, ...
Decision Making Models for Power Systems Operations Under Uncertainty
(2023-08-02)
As the power grids worldwide transition from fossil fuel-based power plants to an era dominated by renewable energy sources (RESs), new operational challenges and uncertainties emerge, particularly for Independent System ...