Operations Research, Systems Engineering and Industrial Engineering Commons^™

Fault Diagnosis And Failure Prognostics Of Lithium-Ion Battery Based On Least Squares Support Vector Machine And Memory Particle Filter Framework, Mohammed Ali Lskaafi

Doctoral Dissertations

123456A novel data driven approach is developed for fault diagnosis and remaining useful life (RUL) prognostics for lithium-ion batteries using Least Square Support Vector Machine (LS-SVM) and Memory-Particle Filter (M-PF). Unlike traditional data-driven models for capacity fault diagnosis and failure prognosis, which require multidimensional physical characteristics, the proposed algorithm uses only two variables: Energy Efficiency (EE), and Work Temperature. The aim of this novel framework is to improve the accuracy of incipient and abrupt faults diagnosis and failure prognosis. First, the LSSVM is used to generate residual signal based on capacity fade trends of the Li-ion batteries. Second, adaptive threshold …

A Multi-Criteria Gis-Based Route Selection Tool For Hazardous Material Transport: Consideration Of Environmental Consequence, Traffic Congestions And Costs, Bahareh Inanloo

FIU Electronic Theses and Dissertations

Hazardous materials are substances that, if not regulated, can pose a threat to human populations and their environmental health, safety or property when transported in commerce. About 1.5 million tons of hazardous material shipments are transported by truck in the US annually, with a steady increase of approximately 5% per year.

The objective of this study was to develop a routing tool for hazardous material transport in order to facilitate reduced environmental impacts and less transportation difficulties, yet would also find paths that were still compelling for the shipping carriers as a matter of trucking cost. The study started with …

From Human Reliability To Resilience & System Performance - Adapting To A Changing World, Gesa Praetorius, Fulko C. Van Westrenen

Gesa Praetorius

A Machine Learning Approach To Post-Market Surveillance Of Medical Devices, Jonathan Bates, Shu-Xia Li, Craig Parzynski, Ronald Coifman, Harlan Krumholz, Joseph Ross

Yale Day of Data

Post-market surveillance is a collection of processes and activities used by product manufacturers and regulators, such as the U.S. Food and Drug Administration (FDA) to monitor the safety and effectiveness of medical devices once they are available for use “on the market”. These activities are designed to generate information to identify poorly performing devices and other safety problems, accurately characterize real-world device performance and clinical outcomes, and facilitate the development of new devices, or new uses for existing devices. Typically, a device is monitored by comparing adverse events in the exposed population to a matched unexposed population. This research considers …

Developing An Optimal Model For Infant Home Visitation, Isaac Atuahene

Doctoral Dissertations

The United States, Great Britain, Denmark, Canada and many other countries have accepted home visitation (HV) as a promising strategy for interventions for infants after births and for their mothers. Prior HV studies have focused on theoretical foundations, evaluations of programs, cost/benefit analysis and cost estimation by using hospital/payer/insurance data to prove its effectiveness and high cost. As governments and private organizations continue to fund HVs, it is an opportune time to develop and formulate operations research (OR) models of HV coverage, quality and cost so they might be used in program implementation as done for adult home healthcare (HHC) …

Modelling Supercomputer Maintenance Interrupts: Maintenance Policy Recommendations, Jagadish Cherukuri

Masters Theses

A supercomputer is a repairable system with large number of compute nodes interconnected to work in harmony to achieve superior computational performance. Reliability of such a complex system depends on an effective maintenance strategy that involves both emergency and preventive maintenance. This thesis analyzes the maintenance records of four supercomputers operational at The National Institute of Computational Science located at Oak Ridge National Laboratory. We propose to use the generalized proportional intensities model (GPIM) to model the maintenance interrupts as it can capture both the reliability parameters and maintenance parameters and allows the inclusion of both emergency and preventive maintenance. …

Applying Fram To Enhance Formal Safety Assessment In The Maritime Domain, Gesa Praetorius

Gesa Praetorius

Presentation given at the Functional Resonance Analysis Method (FRAM) workshop in Olten, Switzerland, 12 June 2015.

Customer Complaint Management Systems (Ccms) In A Food Processing Industry, Maggie A. Macleish

Senior Honors Projects, 2010-2019

Abstract

The food processing industry must meet customers’ highest quality expectations at the lowest cost. I partnered with Nestlé’s pizza facility in Little Chute, WI, to improve the current customer complaint approach of the quality department, which aimed to improve product quality. To improve the total quality of the system, this project established a defensive method of addressing customer complaints. Some strategies used to improve the current Customer Complaint Management System (CCMS) include Quality Functional Deployment (QFD), fuzzy logic, Kano’s methods, Voice of the customer (VOC) and Go-See-Think-Do (GSTD). These strategies are all related, but have not previously been used …

Topsis As A Method To Populate Risk Matrix Axes, Christian Salmon, Mohammadsadegh Mobin, Afshan Roshani

Mohammadsadegh Mobin

This research utilizes TOPSIS (a Multi-Criteria ranking methodology) to populate the axes of a risk matrix when modeling risk exposure onboard commercial fishing vessels with the intent to identify mitigating interventions in low risk settings for possible transfer to high risk settings. The specific hazard of interest is the release of refrigerants into confined spaces onboard commercial fishing vessels. The metrics of risk are: 1) expectation that refrigerants are released onboard vessels, and 2) consequence of releases that have occurred. To model expectation: data were collected on the United States’ commercial fisheries, including location and number of participating vessels. These …

An Assessment Of The Performances Of Several Univariate Tests Of Normality, James Olusegun Adefisoye

FIU Electronic Theses and Dissertations

The importance of checking the normality assumption in most statistical procedures especially parametric tests cannot be over emphasized as the validity of the inferences drawn from such procedures usually depend on the validity of this assumption. Numerous methods have been proposed by different authors over the years, some popular and frequently used, others, not so much. This study addresses the performance of eighteen of the available tests for different sample sizes, significance levels, and for a number of symmetric and asymmetric distributions by conducting a Monte-Carlo simulation. The results showed that considerable power is not achieved for symmetric distributions when …

Resilience Of Transportation Infrastructure Systems To Climatic Extreme Events, Alexandra C. Testa

Masters Theses

A topology-based approach has been used to measure the resilience of a highway network to climatic events. Civil infrastructure systems are inarguably critical to the everyday functions of society. Because such systems are regionally distributed, their components undergo a wide range of hazard intensities, often dependent on their relative locations. The ability of an infrastructure system to withstand, adapt to, and rapidly recover from extreme events is paramount to its ability to continuously serve users. The topological properties of a network can provide a good means to assess the resilience of the system which is adequate to comprehend the preparedness …

A Simulation-Based Approach To Risk Assessment And Mitigation In Supply Chain Networks, Mamadou Seck, Ghaith Rabadi, Christian Koestler

Engineering Management & Systems Engineering Faculty Publications

We present in this paper a simulation-based approach to evaluate the risk associated with supply chain disruptions caused by failures in some supply chains nodes and measure the impact of such disruptions on supply chain key performance measures (KPIs) of interest. The proposed framework enables analysts and managers to repeatedly assess the risk to their supply chains based on various simulated scenarios and identify the most critical nodes whose disruption will have the highest impact on the KPIs of interest. As a result, companies can focus on the most critical supply chain assets and develop targeted mitigation plans that minimize …

Safety Culture Monitoring: A Management Approach For Assessing Nuclear Safety Culture Health Performance Utilizing Multiple-Criteria Decision Analysis, James Harold Warren Jr.

Engineering Management & Systems Engineering Theses & Dissertations

Nuclear power plants are among the most technologically complex of all energy facilities. This complexity reflects the precision needed in design, maintenance and operations to harness the energy of the atom safely, reliably and economically. Nuclear energy thus requires consistent, high levels of organizational performance by the highly skilled professionals who operate and maintain nuclear power plants (Nuclear Energy Institute [NEI], 2014, p. 1).

A key element for achieving consistent, high levels of performance in a nuclear organization is its safety culture. Nuclear safety culture is for an organization what character and personality is for an individual: a feature that …