Operations Research, Systems Engineering and Industrial Engineering Commons^™

Étude Exploratoire Sur Les Pratiques Des Fabricants De Machines Au Québec En Lien Avec L’Intégration De La Sécurité Des Machines Dès Leur Conception, Yuvin Chinniah, François Gauthier, George Abdul-Nour, Sabrina Jocelyn, Barthélemy Aucourt, Guy Bordeleau

Rapports de recherche scientifique

Le présent rapport est destiné principalement à tout organisme québécois œuvrant en matière de prévention des lésions professionnelles (ex. : la Commission des normes, de l’équité, de la santé et de la sécurité du travail (CNESST), les associations sectorielles paritaires (ASP)), pour un ou plusieurs secteurs industriels donnés. Il porte sur une étude exploratoire concernant l’intégration de la sécurité dès la conception des machines et qui a été réalisée auprès de fabricants. Ce rapport intéressera également les concepteurs et fabricants désireux de se renseigner sur la manière dont la sécurité est prise en compte dans la mise en œuvre de …

Landing-Gear Impact Response: A Non-Linear Finite Element Approach, Tuan H. Tran

UNF Graduate Theses and Dissertations

The primary objective of this research is to formulate a methodology of assessing the maximum impact loading condition that will incur onto an aircraft’s landing gear system via Finite Element Analysis (FEA) and appropriately determining its corresponding structural and impact responses to minimize potential design failures during hard landing (abnormal impact) and shock absorption testing. Both static and dynamic loading condition were closely analyzed, compared, and derived through the Federal Aviation Administration’s (FAA) airworthiness regulations and empirical testing data.

In this research, a nonlinear transient dynamic analysis is developed and established via NASTRAN advanced nonlinear finite element model (FEM) to …

Reliability Analysis Of Repairable Systems With Recurrent Misuse-Induced Failures And Normal-Operation Failures, Weiwen Peng, Lijuan Shen, Yan Shen, Qiuzhuang Sun

Research Collection College of Integrative Studies

Failure of a repairable system may be attributed to operators’ misuse or system deterioration. The misuse may further deteriorate the system under normal operating conditions. Motivated by a real-world data set that records the recurrence times of misuse-induced failures and the normal-operation failures, this study proposes a stochastic process model for recurrence data analysis, where one type of failures is affected by the other. A non-homogeneous Poisson process and a trend-renewal process are separately used as the baseline event process models for the misuse-induced failures and the normal-operation failures, respectively. These two models are then combined by treating the event …

Robust Allocation Of Funds For Nonstructural Flood Risk Mitigation In Coastal Louisiana, Simón Gómez Sierra, David R. Johnson, Matthew P. Shisler, Zachariah T. Richardson

The Summer Undergraduate Research Fellowship (SURF) Symposium

Coastal Louisiana is a critical economic, ecological and cultural asset, acting as a major hub for waterborne commerce, fisheries, and the petrochemical industry, and also as one of the world’s unique wetlands. Unfortunately, this rich environment is in great danger from the threat of hurricanes and storm surge flooding. Direct economic losses are estimated to average $2.7 billion per year under current conditions, and this could increase to $12 billion a year, or more, within 50 years if nothing is done. To prevent this catastrophe, Louisiana has developed a Comprehensive Master Plan for a Sustainable Coast, which plans to spend …

Risk Assessment Of Dropped Cylindrical Objects In Offshore Operations, Adelina Steven

LSU New Orleans Theses and Dissertations

Dropped object are defined as any object that fall under its own weight from a previously static position or fell due to an applied force from equipment or a moving object. It is among the top ten causes of injuries and fatality in oil and gas industry. To solve this problem, several in-house tools and guidelines is developed over time to assess the risk of dropped objects on the sub-sea structures. This thesis focuses on compiling and comparing those methods in hope to improve the recommended practices available in the market. A simple modification is done on the in-house tools …

Design Of A Distributed Real-Time E-Health Cyber Ecosystem With Collective Actions: Diagnosis, Dynamic Queueing, And Decision Making, Yanlin Zhou

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

In this thesis, we develop a framework for E-health Cyber Ecosystems, and look into different involved actors. The three interested parties in the ecosystem including patients, doctors, and healthcare providers are discussed in 3 different phases. In Phase 1, machine-learning based modeling and simulation analysis is performed to remotely predict a patient's risk level of having heart diseases in real time. In Phase 2, an online dynamic queueing model is devised to pair doctors with patients having high risk levels (diagnosed in Phase 1) to confirm the risk, and provide help. In Phase 3, a decision making paradigm is proposed …

Developing An Ergonomic Model And Automation Justification For Industrial Spraying Operations: A Case Study, Anthony Woods

Industrial Engineering Undergraduate Honors Theses

Industrial spraying tasks prove to be some of the most dull, dirty, and dangerous jobs in the modern day. Although it is a ripe area for automation, justification methods do not typically account for the potential improvements in the ergonomics of a task from automating it. In addition, there is a gap in the ergonomics literature in formal methodologies to comprehensively evaluate an industrial spraying task ergonomically, including all relevant musculoskeletal elements. This research focuses on first developing a formal, comprehensive methodology for ergonomically evaluating industrial spraying tasks and attaining a final classification of the ergonomic ranking of the task. …

Subjectivity In Failure Mode Effects Analysis (Fmea) Severity Classification Within A Reliability Centered Maintenance (Rcm) Context, Marc Banghart, Kari Babski-Reeves, Linkan Bian, Lesley Strawderman

International Journal of Aviation, Aeronautics, and Aerospace

This research paper investigated subjectivity in the severity rating of failure modes within a risk analysis process. Although several risk analysis processes can be utilized, the study considered the application of Failure Modes Effects Analysis (FMEA) or Failure Modes Effects and Criticality Analysis (FMECA) due to its common use within the Aerospace Industry. The study investigated both differences in severity selection given varying amounts of experience as well as any association between severity selection and the provided input information. The main goal of the research was to investigate the impact of data quality on severity selection and to identify factors …

Pathology-Informed Approach In Vulnerability Assessment Methods, Polinpapilinho F. Katina, Adrian V. Gheorghe, Charles B. Keating

Engineering Management & Systems Engineering Faculty Publications

A system pathology is a circumstance, condition, or pattern that acts to limit system performance, or lessen system viability, such that the likelihood of a system achieving performance expectation is reduced. The idea of pathology has been described in multiple fields, including computer science, organizational studies, policy analysis, system-of-systems engineering, and systems engineering. However, there is scarcity of literature describing relationship between system pathology and vulnerability assessment. The aim of this study lies at the intersection of system pathology and vulnerability assessment in engineered systems. First, authors provide the state of the art review of literature on system pathology. Second, …

Transforming Yekaterinburg Into A Safe, Resilient-Smart And Sustainable City, S. A. Timashev, V. N. Alekhin, L. V. Poluyan, I. Fontanals, A. Gheorghe

Engineering Management & Systems Engineering Faculty Publications

The initiative (since 2014) project described in this paper is a product of a joint innovative research and implementation effort of the Civil Engineering and Architecture Institute, Ural Federal University, the Science and Engineering Centre "Reliability and Safety of Large Systems and Machines", Ural Branch Russian Academy of Sciences (both Yekaterinburg), Start-up OptiCits, Barcelona, Spain and the Old Dominion University, Norfolk, VA, USA. The project is based on using the MAICS convergent technology [1] to create a versatile multi-purpose tool for optimizing the science and art of risk based governance of resilience-smart and sustainable city infrastructure and communities operating in …

Developing A Cyberterrorism Policy: Incorporating Individual Values, Osama Bassam J. Rabie

Theses and Dissertations

Preventing cyberterrorism is becoming a necessity for individuals, organizations, and governments. However, current policies focus on technical and managerial aspects without asking for experts and non-experts values and preferences for preventing cyberterrorism. This study employs value focused thinking and public value forum to bare strategic measures and alternatives for complex policy decisions for preventing cyberterrorism. The strategic measures and alternatives are per socio-technical process.

Handling Of Syringe Sharps In A Non-Incineration Health Care Waste Disposal, Tito Mwinuka

Tanzania Journal of Engineering and Technology (TJET)

An attempt has been made by the R&D team of the University of Dar es Salaam to design and manufacture two needle cutter prototypes, a manually operated and an automatic needle cutter to be used in rural and urban areas, respectively. This is part of the UNDP and WHO efforts aimed at promoting the non-burn medical waste disposal technologies in developing countries such as Argentina, India, Latvia, Lebanon, Philippines, Senegal, Tanzania and Vietnam. The project also involves designing and manufacturing of the autoclaves for sterilizing of needle cutters and other infectious medical waste. The use of needle cutters in hospitals …

Application Of Real Field Connected Vehicle Data For Aggressive Driving Identification On Horizontal Curves, Arash Jahangiri, Vincent Berardi, Sahar Ghanipoor Machiani

Psychology Faculty Articles and Research

The emerging technology of connected vehicles generates a vast amount of data that could be used to enhance roadway safety. In this paper, we focused on safety applications of a real field connected vehicle data on a horizontal curve. The database contains connected vehicle data that were collected on public roads in Ann Arbor, Michigan with instrumented vehicles. Horizontal curve negotiations are associated with a great number of accidents, which are mainly attributed to driving errors. Aggressive/risky driving is a contributing factor to the high rate of crashes on horizontal curves. Using basic safety message data in connected vehicle data …

Airport Security Investment Model, Joshua Daniel Bolton

Graduate Theses and Dissertations

In an increasingly mobile and diverse world, it is difficult to quantify the risk, or danger, associated with traveling. Airports have suffered greatly for being unable to define potential risks and protect against them. Intelligent adversary risk is a complicated high-level issue for many airports. Airports are targeted because of the large amount of people in a confined space and the social, economic, and psychological impact of terrorist attacks on the American people. In the months following September 11th, 2001, the airline industry in the United States lost $1.1 billion in revenue. The American people stayed grounded, for fear of …

Quantitative Analysis Of Regenerative Energy In Electric Rail Traction Systems, Mahmoud Saleh, Oindrilla Dutta, Yusef Esa, Ahmed Mohamed

Publications and Research

This paper aims at determining the influential factors affecting regenerative braking energy in DC rail transit systems. This has been achieved by quantitatively evaluating the dependence of regenerative energy on various parameters, such as vehicle dynamics, train scheduling, ground inclination and efficiency of the electrical devices. The recuperated power and energy have been presented by a mathematical model, comprising of a set of empirical forms, which allows for thorough analysis. A detailed simulation model of a typical DC-traction system has been developed to validate the developed empirical forms. The results verified the validity of the proposed mathematical model, and demonstrated …

Identification Of Reverse Engineering Candidates Utilizing Machine Learning And Aircraft Cannibalization Data, Marc Banghart

International Journal of Aviation, Aeronautics, and Aerospace

As military aircraft continue to remain in service and age, cannibalization of parts is increasing. Proactive identification of parts that are at high risk for cannibalization will inform engineering processes such as reverse engineering, thus allowing potentially reducing lead time to develop new parts. The research objective was to develop a causal structure that can be used for prediction of when cannibalization actions may occur. Bayesian networks allow encoding of causality between various descriptive features given a data set. The method utilized a tabu search algorithm, identified the underlying causal structure and the associated node probabilities. The method is then …

A Systems-Based Framework For Design And Analysis Of An R And D Structure, Polinpapilinho F. Katina, Charles B. Keating, Luna M. Magpili

Engineering Management & Systems Engineering Faculty Publications

A critical challenge for managerial effectiveness and competitive advantage in research and development (R and D) organizations is developing an appropriate structural configuration. However, in finding an appropriate structural configuration, R and D managers are faced with unprecedented levels of uncertainty, ambiguity, and accelerating complexity, coupled with demands for increased productivity. This paper develops a systems-based framework to support rigorous design, analysis, and transformation of the structure for R and D organizations. The framework development includes: (1) a review of the literature for the nature and role of the structure in R and D management; (2) setting of the R …

Built-In Bicycle Rack For Cars, Scott A. Hansberry

All Undergraduate Projects

Transporting a bicycle after riding somewhere and then needing to be pickup can be problematic. Bicycles will not fit in most vehicles without removing components. There is also the risk of damaging the inside of the vehicle. Expecting everyone to have a bike rack for their vehicle is unrealistic because the bike rack could be considered unappealing visually, take up to much space in the trunk, or limit the vehicle owner’s access to the trunk. The solution to this problem is a bike rack that mounts onto your car and then mounts your bike onto the rack. Most people don’t …

The Impact Of Requirements Management Documentation On Software Project Outcomes In Health Care, Sujatha Alla, Pilar Pazos, Rolando Delaguila

Engineering Management & Systems Engineering Faculty Publications

Despite considerable time and resources spent on the initiation phase of software projects, discrepancies often exist between formal project documentation, customer requirements, and final project specifications. Such discrepancies in the requirements management process can have a very negative impact on final project outcomes. The Business Requirements Document (BRD) constitutes the formal software requirements documentation, which typically includes stakeholders’ needs and expectations and project scope while providing a clear project roadmap and project plan. According to IEEE standards, a BRD should be a structured document that includes specific elements such as functional and technical requirements while incorporating certain traits such as …

Air Force Project Risk Management – The Impact Of Inconsistent Processes, Eric J. Perez

Theses and Dissertations

On the surface, the majority of Air Force units appear to be executing some form of project risk management (PRM). Deeper investigation exposes many of the PRM practices currently in place to often be ad hoc, and as such, have the potential to poorly inform decisions when risk data is escalated to the enterprise levels of the Air Force. Resultantly, there is inconsistency between the PRM processes practiced by Air Force units. This inconsistency is an indication of risk mishandling at the project level and erroneous risk data provided at the enterprise levels of the Air Force. It may be …

Research On Navigation Guarantee Measures Of Modified Dan’Gan Waterway Routeing System, Peng Chang

Maritime Safety & Environment Management Dissertations (Dalian)

No abstract provided.

Incorporating A New Class Of Uncertainty In Disaster Relief Logistics Planning, Emre Kirac

Graduate Theses and Dissertations

In recent years, there has been a growing interest among emergency managers in using Social data in disaster response planning. However, the trustworthiness and reliability of posted information are two of the most significant concerns, because much of the user-generated data is initially not verified. Therefore, a key tradeoff exists for emergency managers when considering whether to incorporate Social data in disaster planning efforts. By considering Social data, a larger number of needs can be identified in a shorter amount of time, potentially enabling a faster response and satisfying a class of demand that might not otherwise be discovered. However, …

Developing A Risk Analysis Model To Improve Study Abroad Awareness, Tyler Spain

Industrial Engineering Undergraduate Honors Theses

As international education opportunities increase in popularity among U.S. college students (McMurtrie, 2007), it is becoming more and more necessary for study abroad organizations to be aware of the risks students face as they travel abroad. While some international cities are riskier than others, it can be difficult to distinguish between cities which truly carry a high degree of risk for visiting students, and which cities are only perceived to be risky based on various personal misconceptions. The University of Arkansas Office of Study Abroad & International Exchange currently lacks a way to quantifiably analyze the risk of study abroad …

Modeling Supply Chain Resiliency, Jeff A. Hazel

Industrial Engineering Undergraduate Honors Theses

Engineered Resilient Systems (ERS) is a Department of Defense (DoD) program focusing on the effective and efficient design and development of complex engineered systems throughout their life cycle. There is a growing literature with qualitative definitions of resilience and quantitative models for systems with one performance measure. This paper uses a quantitative resilience framework (the Framework for ERS) that includes system design options, reliability, threats, vulnerabilities, responses, and consequences assessed in multiple system performance measures. The framework assists in establishing a model for any system to evaluate resiliency. This paper applies this framework using Multiple Objective Decision Analysis (MODA) to …

Safety Management Analysis For Construction Industry: Statistical Process Control (Spc) Approach, Zhenpeng Liu

Morehead State Theses and Dissertations

A Thesis Presented to the Faculty of the College of Business and Technology Morehead State University in Partial Fulfillment of the Requirements for the Degree Master of Science by Zhenpeng Liu on April 26, 2016.

A Simulation Model For Decision Support In Business Continuity Planning, Marissa Anne Mosunich

Master's Theses

Enterprises with a global supply network are at risk of lost revenue as a result of disruptive disasters at supplier locations. Various strategies exist for addressing this risk, and a variety of types of research has been done regarding the identification, assessment and response to the risk of disruption in a supply chain network.

This thesis establishes a decision model to support Business Continuity Planning at the first-tier supplier level. The decision model incorporates discrete-event simulation of supply chain networks (through Simio software), Monte Carlo simulation, and risk index optimization. After modeling disruption vulnerability in a supply chain network, costs …

System Safety Modeling Of Alternative Geofencing Configurations For Small Uas, James T. Luxhoj

International Journal of Aviation, Aeronautics, and Aerospace

As is well known, the integration of small Unmanned Aircraft Systems (sUAS) or “drones” into the National Airspace System (NAS) has captured significant industry, academic, regulatory and media attention. For sUAS that typically fly low and slow, the possibility of a mid-air collision with a nearby general aviation aircraft needs to be studied from a system safety perspective to identify possible hazards and to assess mitigations. The Aviation System Risk Model (ASRM) is a first-generation socio-technical model that uses a Bayesian Belief Network (BBN) methodology to integrate possible hazards to assess a non-linear safety risk metric. Using inductive logic, the …

Using Mavt To Incorporate Public Perception When Choosing A Nuclear Fuel Cycle, Stephen Clement

Theses and Dissertations

Nuclear energy is a source of carbon free power. With many countries striving to make deep carbon cuts in their energy sectors, nuclear energy could be a large part of the solution. One of the main obstacles standing in the way of the use of nuclear energy is the issue of used nuclear fuel disposal. According to the NEI, the U.S. creates about 2000 metric tons of used nuclear fuel per year and has generated around 76,000 metric tons of used nuclear fuel over the last 4 decades. While there are technical problems that need to be solved, it is …

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 …

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 …