Operations Research, Systems Engineering and Industrial Engineering Commons^™

Contrôle Des Énergies Dangereuses Par Cadenassage Et Par D’Autres Méthodes Chez Les Électriciens, Les Tuyauteurs, Les Frigoristes Et Les Mécaniciens Du Secteur De La Construction : Étude Exploratoire, Damien Burlet-Vienney, Yuvin Chinniah, Ayoub Nokra

Rapports de recherche scientifique

À la différence des études précédentes de l’Institut de recherche Robert-Sauvé en santé et en sécurité du travail (IRSST) sur le contrôle des énergies dangereuses et sur le cadenassage, cette étude est spécifique au secteur de la construction.

En 2016, la section 2.20 « Cadenassage et autres méthodes de contrôle des énergies » a été ajoutée au Code de sécurité pour les travaux de construction (CSTC) qui régit la santé et la sécurité sur les chantiers de construction au Québec. Cette section du CSTC fait notamment référence à la notion de maître d’œuvre (MO) pour l’encadrement du contrôle des énergies …

Analyse Du Concept De Marge De Manœuvre En Ergonomie Du Point De Vue Du Contrôle De La Motricité Humaine, Philippe Corbeil, André Plamondon, Denys Denis

Rapports de recherche scientifique

Le concept de marge de manœuvre se définit comme la liberté dont dispose un travailleur pour élaborer différentes façons de travailler afin de répondre aux exigences de production, et ce, sans effet défavorable sur sa santé (Coutarel, Caroly, Vézina et Daniellou, 2015; St-Vincent et al., 2011). Une forte charge de travail jumelée à une faible latitude décisionnelle restreint l’élaboration des gestes et pourrait pénaliser ainsi la santé des opérateurs. Les connaissances actuelles des façons de faire des manutentionnaires, qu’ils soient experts ou non, ne nous permettent pas d’apprécier dans sa totalité l’ampleur de cette liberté lorsqu’un individu doit répéter …

Challenges And Solutions For Designing A Covid-19 Vaccination Hub: A Simulation Approach, Antonio Cimino, Maria Grazia Gnoni, Francesco Longo, Rafael Diaz, Adriano Solis, Antonio Nervoso, Karen Althea Manfredi, Marika Diaco

VMASC Publications

It is the intent of the work to support experts in the organization process of Covid-19 vaccination hubs. An approach based on Modelling & Simulation (M&S) is proposed and in particular, a simulation model of a real vaccination hub, located in South of Italy, has been developed. The simulation model recreates, with satisfactory accuracy, the evolution over the time of the real system and it has been used to analyze the system behavior under several operative scenarios. The generation of the alternative operative scenarios comes from the variation of multiple design parameters that affect multiple performance measures. The quantitative evaluation …

Developing Artificial Intelligence Tools To Investigate The Phenotypes And Correlates Of Chronic Kidney Disease Patients In West Virginia, Marzieh Amiri Shahbazi

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT

Developing Artificial Intelligence tools to investigate the phenotypes and correlates of Chronic Kidney Disease patients in West Virginia

Marzieh Amiri Shahbazi

Chronic kidney disease (CKD) is responsible for disrupting the lives of 37 million people just in the USA, which is about 1 in 7 adults. CKD results in a gradual loss of kidney function over time. Sometimes CKD doesn’t produce any significant symptoms until it reaches an advanced stage. On the other hand, acute kidney injury (AKI) accounts for a sudden decline in the kidney’s function. As a result, the kidneys fail to filter waste materials from the …

Moyens De Réduction Des Risques Lors Des Phases De Nettoyage Et De Désinfection Des Machines Dans Le Domaine Agroalimentaire : Étude Exploratoire France-Québec, Laurent Giraud, Jean-Christophe Blaise, Nellie Perrin, Yuvin Chinniah, Pascal Poisson

Rapports de recherche scientifique

L’industrie de la transformation alimentaire est le plus important employeur industriel au Québec avec près de 56 000 emplois dans plus de 1 400 établissements en 2016. Cependant, au Québec, la Commission des normes, de l’équité, de la santé et de la sécurité du travail (CNESST) estime que le degré de risque de la plupart des secteurs agroalimentaires est critique. Cette industrie est également considérée à haut risque en Europe, notamment en France et en Grande-Bretagne, ainsi qu’aux États-Unis. Les statistiques dans ces pays montrent que les accidents surviennent majoritairement lors de tâches courantes et prévisibles comme le nettoyage et …

Adaptation Des Milieux De Travail Aux Effets Des Changements Climatiques. Tome 2 : Mesures D’Adaptation Destinées Aux Travailleurs Du Québec Les Plus À Risque Vis-À-Vis De La Hausse Des Épisodes De Fortes Chaleurs Liée Aux Changements Climatiques, Bouchra Bakhiyi, Ariane Adam-Poupart, Robert Bourbonnais, Marc-Antoine Busque, Joseph Zayed

Rapports de recherche scientifique

Le présent document correspond au tome 2 du rapport de la recherche intitulé « Adaptation des milieux de travail aux effets des changements climatiques ». Il présente le 2^e volet de cette recherche dont l’objectif était de coconstruire des mesures d’adaptation destinées à protéger la santé des travailleurs des 50 professions du Québec les plus à risque vis-à-vis de la hausse des épisodes de fortes chaleurs liée aux Changements climatiques (CC) (désigné par danger A), et ce, en collaboration avec des acteurs clés du secteur de la santé et de la sécurité du travail.

Une revue de la littérature …

The Relationship Between First Case On-Time Starts, Turnover Times, And Operating Room Productivity, Rhafia Bucoy

Walden Dissertations and Doctoral Studies

Operating room (OR) managers struggle to manage day-to-day surgical operations while meeting and exceeding organizational productivity amid the COVID-19 pandemic. The deferral of surgeries contributes to millions of backlogs of surgical case volume and unintended negative consequences. Grounded in the proposition that first-case on-time starts (FCOTS) and turnover time (TOT) are correlates of OR productivity, the purpose of this quantitative correlational study was to examine the relationship between FCOTS, TOT, and OR productivity. Archival data from 136 electronic surgical records were collected from two free-standing ambulatory surgery centers and analyzed using multiple regression. The results of the one-service, eye-specialized, ambulatory …

A Unified Health Information System Framework For Connecting Data, People, Devices, And Systems, Wu He, Justin Zuopeng Zhang, Huanmei Wu, Wenzhuo Li, Sachin Shetty

Information Technology & Decision Sciences Faculty Publications

The COVID-19 pandemic has heightened the necessity for pervasive data and system interoperability to manage healthcare information and knowledge. There is an urgent need to better understand the role of interoperability in improving the societal responses to the pandemic. This paper explores data and system interoperability, a very specific area that could contribute to fighting COVID-19. Specifically, the authors propose a unified health information system framework to connect data, systems, and devices to increase interoperability and manage healthcare information and knowledge. A blockchain-based solution is also provided as a recommendation for improving the data and system interoperability in healthcare.

Examining Cognitive Empathy Elements Within Ai Chatbots For Healthcare Systems, Lamia Alam

Dissertations, Master's Theses and Master's Reports

Empathy is an essential part of communication in healthcare. It is a multidimensional concept and the two key dimensions: emotional and cognitive empathy allow clinicians to understand a patient’s situation, reasoning, and feelings clearly (Mercer and Reynolds, 2002). As artificial intelligence (AI) is increasingly being used in healthcare for many routine tasks, accurate diagnoses, and complex treatment plans, it is becoming more crucial to incorporate clinical empathy into patient-faced AI systems. Unless patients perceive that the AI is understanding their situation, the communication between patient and AI may not sustain efficiently. AI may not really exhibit any emotional empathy at …

Submaximal Electromyography-Driven Musculoskeletal Modeling Of The Human Trunk During Static Tasks: Equilibrium And Stability Analyses, Farshid Ghezelbash, Aboulfazl Shirazi-Adl, Denis Gagnon, Ali Shahvarpour, Navid Arjmand, Amir Hossein Eskandari, Christian Larivière

Études primaires

Conventional electromyography-driven (EMG) musculoskeletal models are calibrated during maximum voluntary contraction (MVC) tasks, but individuals with low back pain cannot perform unbiased MVCs. To address this issue, EMG-driven models can be calibrated in submaximal tasks. However, the effects of maximal (when data points include the maximum contraction) and submaximal calibration techniques on model outputs (e.g., muscle forces, spinal loads) remain yet unknown. We calibrated a subject-specific EMG-driven model, using maximal/submaximal isometric contractions, and simulated different independent tasks. Both approaches satisfactorily predicted external moments (Pearson’s correlation ∼ 0.75; relative error = 44%), and removing calibration tasks under axial torques markedly improved …

Evaluating Technology-Mediated Collaborative Workflows For Telehealth, Christopher Bondy Ph.D., Pengcheng Shi, Pamela Grover Md, Vicki Hanson, Linlin Chen, Rui Li

Articles

Goals: This paper discusses the need for a predictable method to evaluate gains and gaps of collaborative technology-mediated workflows and introduces an evaluation framework to address this need. Methods: The Collaborative Space Analysis Framework (CS-AF), introduced in this research, is a cross-disciplinary evaluation method designed to evaluate technology-mediated collaborative workflows. The 5-step CS-AF approach includes: (1) current-state workflow definition, (2) current-state (baseline) workflow assessment, (3) technology-mediated workflow development and deployment, (4) technology-mediated workflow assessment, (5) analysis, and conclusions. For this research, a comprehensive, empirical study of hypertension exam workflow for telehealth was conducted using the CS-AF approach. Results: The CS-AF …

Framework Of Big Data Analytics In Real Time For Healthcare Enterprise Performance Measurements, Ahmed Mohamed

Electronic Theses and Dissertations, 2020-2023

Healthcare organizations (HCOs) currently have many information records about their patients. Yet, they cannot make proper, faster, and more thoughtful conclusions in many cases with their information. Much of the information is structured data such as medical records, historical data, and non-clinical information. This data is stored in a central repository called the Data Warehouse (DW). DW provides querying and reporting to different groups within the healthcare organization to support their future strategic initiatives. The generated reports create metrics to measure the organization's performance for post-action plans, not for real-time decisions. Additionally, healthcare organizations seek to benefit from the semi-structured …

Drug-Based Therapeutic Strategies For Covid-19-Infected Patients And Their Challenges, Khatereh Zarkesh, Elaheh Entezar-Almahdi, Parisa Ghasemiyeh, Mohsen Akbarian, Marzieh Bahmani, Shahrzad Roudaki, Rahil Fazlinejad, Soliman Mohammadi-Samani, Negar Firouzabadi, Majid Hosseini, Fatemeh Farjadian

Manufacturing & Industrial Engineering Faculty Publications

Emerging epidemic-prone diseases have introduced numerous health and economic challenges in recent years. Given current knowledge of COVID-19, herd immunity through vaccines alone is unlikely. In addition, vaccination of the global population is an ongoing challenge. Besides, the questions regarding the prevalence and the timing of immunization are still under investigation. Therefore, medical treatment remains essential in the management of COVID-19. Herein, recent advances from beginning observations of COVID-19 outbreak to an understanding of the essential factors contributing to the spread and transmission of COVID-19 and its treatment are reviewed. Furthermore, an in-depth discussion on the epidemiological aspects, clinical symptoms …

État Des Récentes Avancées En Matière De Développement De Sièges À Suspension, Subhash Rakheja, Pierre Marcotte, Karim Hamouda, Krishna Dewangan, Darshan Dorugade

Rapports de recherche scientifique

Dans divers secteurs d’activité du Québec, les conducteurs de véhicules sont exposés à des niveaux notables de vibrations globales du corps (VGC) et à des chocs intermittents, associés dans les deux cas à un risque accru de douleurs lombaires et de dégénérescence de la colonne vertébrale. Les sièges à suspension sont largement utilisés pour limiter l'exposition des conducteurs aux VGC. L’efficacité d'un siège à suspension à réduire les vibrations est fortement dépendante de la nature des vibrations du véhicule (amplitude, direction et fréquence). Un siège à suspension ne peut donc offrir une efficacité optimale que lorsque la suspension est mise …

State-Of-The-Art In Recent Developments Concerning Suspension Seats, Subhash Rakheja, Pierre Marcotte, Karim Hamouda, Krishna Dewangan, Darshan Dorugade

Rapports de recherche scientifique

Dans divers secteurs d’activité du Québec, les conducteurs de véhicules sont exposés à des niveaux notables de vibrations globales du corps (VGC) et à des chocs intermittents, associés dans les deux cas à un risque accru de douleurs lombaires et de dégénérescence de la colonne vertébrale. Les sièges à suspension sont largement utilisés pour limiter l'exposition des conducteurs aux VGC. L’efficacité d'un siège à suspension à réduire les vibrations est fortement dépendante de la nature des vibrations du véhicule (amplitude, direction et fréquence). Un siège à suspension ne peut donc offrir une efficacité optimale que lorsque la suspension est mise …

Multi-Stage Stochastic Optimization And Reinforcement Learning For Forestry Epidemic And Covid-19 Control Planning, Sabah Bushaj

Dissertations

This dissertation focuses on developing new modeling and solution approaches based on multi-stage stochastic programming and reinforcement learning for tackling biological invasions in forests and human populations. Emerald Ash Borer (EAB) is the nemesis of ash trees. This research introduces a multi-stage stochastic mixed-integer programming model to assist forest agencies in managing emerald ash borer insects throughout the U.S. and maximize the public benets of preserving healthy ash trees. This work is then extended to present the first risk-averse multi-stage stochastic mixed-integer program in the invasive species management literature to account for extreme events. Significant computational achievements are obtained using …

Stochastic Programming And Agent-Based Simulation Approaches For Epidemics Control And Logistics Planning, Xuecheng Yin

Dissertations

This dissertation addresses the resource allocation challenges of fighting against infectious disease outbreaks. The goal of this dissertation is to formulate multi-stage stochastic programming and agent-based models to address the limitations of former literature in optimizing resource allocation for preventing and controlling epidemics and pandemics. In the first study, a multi-stage stochastic programming compartmental model is presented to integrate the uncertain disease progression and the logistics of resource allocation to control a highly contagious infectious disease. The proposed multi-stage stochastic program, which involves various disease growth scenarios, optimizes the distribution of treatment centers and resources while minimizing the total expected …

Preparation Of Meta-Nitrobenzoylhydrazone Ferrocenoylacetone And Synthesis On Its Basis, Zilola Abduraxmonovna Sulaymonova, Bako Bafayevich Umarov Doctor Chemical Science, Professor

Chemical Technology, Control and Management

β-diketone-ferrocenoylacetone was obtained by Claisen condensation. Meta-nitrobenzoylhydrazone of ferrocenoylacetone (H₂L) was synthesized by the interaction of meta-nitrobenzoic acid hydrazide with ferrocenoylacetone. On its basis, complexes with copper(II) and nickel(II) ions were synthesized. The obtained compounds were characterized by the methods of elemental analysis, IR-, ¹H NMR andelectronic spectroscopy. The research results showed that H₂L in solution exists in the form of a tautomeric mixture: hydrazone, α-hydroxyazine, and cyclic 5-hydroxypyrazoline forms. According to the results of IR and ¹H NMR spectra, the complexes were assigned a planar-square structure, and in them the doubly deprotonated …

Optimization Of Vaccine Supply Chains In Low- And Middle-Income Countries Utilizing Drones, Maximilian Kolter

Graduate Theses and Dissertations

Despite tremendous efforts from governments and humanitarian organizations, millions of children in low- and low-middle-income countries (LICs and LMICs) are still excluded from the benefits of immunization. The vaccine distribution in LICs and LMICs is challenging for several reasons, such as limited cold chain capacities, vaccine wastage, uncertain demand, and lack of access to immunization services. A promising avenue to address these issues is the utilization of drones for vaccine delivery. Drones can fly at high speed on direct paths and could enable on-demand deliveries to mitigate limited storage capacities. Further, their independence of road networks could allow them reaching …

Analysis And Modeling Of Strategic Interactions In Health Systems To Improve Patient Care Access, Jorge A. Acuña Melo

USF Tampa Graduate Theses and Dissertations

Affordable health care access that provides well-coordinated and high-quality services on time is a goal that governments and health organizations strive for. Regrettably, most countries deal with access problems that affect the population's health, such as long waiting lists for specialized medical services, overcrowding of emergency departments, and high health prices. In the present doctoral dissertation, I model and analyze the strategic interactions that inhabit the health system machinery to uncover possible structural problems that led to the aforementioned issues. The study involves operation research, data science, and game theory techniques to address the health care access predicament.

Each research …

Preventing Transmission Of Covid 19 In Hvac Duct Systems: Implementations Of Hvac System Design Upgrade, Jacob S. Lopez, Adama Barro

Publications and Research

The recent pandemic outbreak has triggered a global alarm to increase efforts on finding the best methods to mitigate contagious viral pathogens. This project is a continuation of our mission to study engineering guidelines needed to implement upgrades to HVAC Systems in order to deter airborne pathogens such as the covid-19 virus. In our previous projects we researched how covid-19 can possibly flow through the ambient air inside of restaurants, office spaces, and locomotive train cabins. As we continued our research, we were able to find some solutions that will be best used to deactivate and prevent the virus from …

Lean Six Sigma As An Enabler For Healthcare Operational Excellence In Covid-19, Olivia Mcdermott Dr, Antony Jiju

International Conference on Lean Six Sigma

1. Purpose -This paper aims to present the results of a qualitative research interview study on the utilization and importance of Lean Six Sigma methods in the Healthcare sector in COVID-19 and in pandemics in general.
2. Design/methodology/approach -a qualitative interview approach was utilised by interviewing leading Lean Six Sigma academics and practitioners who are expert in and have experience in Lean Six Sigma.
3. Findings – Lean Six Sigma methods are proven and can be utilised in pandemic situations to improve efficiency and resilience in the healthcare system and readiness for pandemics.
4. Research limitations/implications - One limitation of this research was that …

The Discrete-Event Modeling Of Administrative Claims (Demac) System: Dynamically Modeling The U.S. Healthcare Delivery System With Medicare Claims Data To Improve End-Of-Life Care, Rachael Chacko

Dartmouth College Undergraduate Theses

The shift of the U.S. healthcare delivery system from the treatment of acute conditions to chronic diseases requires a new method of healthcare system analysis to properly assess end- of-life (EOL) quality throughout the country. In this paper, we propose the Discrete-Event Modeling of Administrative Claims (DEMAC) system, which relies on a hetero-functional graph theory and discrete event-driven framework to dynamically model EOL care on multiple levels. The heat map visualizations produced by the DEMAC system enable the elucidation of not only patient-specific EOL care but also broader treatment patterns among providers and hospitals. As a whole, the DEMAC system …

Strategies For Achieving The United States Health System's Quadruple Aim By Enhancing The Primary Care Level, Jennifer L. Mendoza-Alonzo

USF Tampa Graduate Theses and Dissertations

The quadruple aim is an approach to optimize the performance of the health system in the United States and consists of four dimensions. The main objective is to improve the population's health, followed by reducing cost, improving patients' experience, and increasing providers' satisfaction. In the present doctoral dissertation, I explore three strategies that help accomplish the quadruple aim at the primary care level. The analysis combines data science and operation research principles to address health system engineering questions.

Each strategy proposed in this document emphasizes one objective more than another; however, all of them in conjunction serve to attain the …

The Probability Of Success-Through Fault Tree Analytical Binomial Result, Tyleka Riddle

Night Flight: Online Literary Journal

Prestigious Appeal Rule of Thumb (Ear Drum Plugs)

In truant fashion, with proven accidental probabilistic perception for proposed cued facial expression recognition and voice commands without filtering. The estimated cost analysis for design and development generated from the enhanced project in the word "no”: Additionally, an audio noise effect size (ES) for desired level of comprehensive sensory receptors in sound reference to noisy party syndrome. Sytoss, (2019) "Resulting in a cocktail party theory for chalkboard distinction and conversation with applied facial recognition. As well as, the enhanced project management tool, EPMT, to provide output and input determination for higher-level acoustic …

Understanding Of Aerosol Transmission Of Covid 19 In Indoor Environment - Part 2: Approaches To Mitigation, Adama Barro, Cathal O'Toole, Jacob S. Lopez, Matthew Quinones, Sherene Moore

Publications and Research

The challenge we face in implementing solutions for new HVAC ventilation and filtration design, is to effectively improve air quality for virus mitigation without losing performance efficiency. The purpose of this improvement is to decontaminate the occupied enclosed areas, reducing the transmission of the corona virus aerosol transmission. Our research seeks reliable approaches to mitigate the further spread of aerosol transmission in indoor spaces. The methodology is to examine innovative HVAC engineering solutions that combat epidemiological problems of Covid-19 for the post-pandemic era, by researching scholarly articles and ASHRAE journals. We are achieving the goal of finding highly efficient resolutions …

Regression Analysis Of Pacing When Running A Marathon, Hawkin Starke

Industrial Engineering Undergraduate Honors Theses

Regression analysis can be an effective way of examining performance in the marathon event. By splitting up the race into segments or in runner terminology “splits” the significance of each segment as it relates to the total finish time can be explored. Because the idea of splits is already ingrained into the minds of runners, it makes intuitive sense to use these as the metrics to define a race. Additionally, marathons generally make participant age and gender date publicly available which can then be used to find trends within specific demographics. This tailors trends to smaller groups of people, making …

Engineering Controls For Bioaerosols In Non-Industrial/Non-Healthcare Settings, David Krause, Cheri Marcham, Bill Mele, Jack Springston, Rob Strode, Donald Weekes, Neil J. Zimmerman

Publications

The list of disease pathogens that can be transmitted in the air is extensive. This list includes the common cold, SARS, measles, Hansen’s disease (leprosy), polio, influenza, Legionella (Legionnaires’ disease and Pontiac fever), and tuberculosis (TB). TB, SARS-CoV-1, avian influenza, varicella, and now SARS-CoV-2 all have received public notice due not only to their known or assumed ability to be transmitted in the air rapidly from one individual to another, but also for their virulence. Other bioaerosols that can be transmitted through the air include bacteria, fungal spores and fragments, dust mites, and pollen. This document was developed to address …

Étude De L’Applicabilité De Haut-Parleurs Paramétriques Au Développement De Nouveaux Concepts D’Alarmes De Recul, Olivier Robin, Alain Berry, Hugues Nélisse

Rapports de recherche scientifique

L’utilisation d’alarmes de recul est obligatoire sur une majorité de véhicules lourds et reste un moyen largement utilisé pour prévenir et alerter les personnes œuvrant à proximité de ces véhicules. Des études antérieures, réalisées par l’IRSST, ont montré les limites d’efficacité des alarmes utilisées en milieu de travail pour minimiser le risque à la sécurité des travailleurs. De plus, les alarmes de recul, par le son de niveau élevé et très typé qu’elles produisent, sont régulièrement une source de nuisance importante pour les travailleurs, et aussi pour les riverains. Ces problèmes de gêne et de perception sonore pour les travailleurs …

Développement D’Un Outil Personnalisé D’Aide À La Décision En Vue De Minimiser Les Risques En Manutention Impliquant Des Postures Symétriques Et Asymétriques, Aboulfazl Shirazi-Adl, Navid Arjmand, André Plamondon

Rapports de recherche scientifique

Les charges excessives imposées sur la colonne vertébrale lombaire constituent un facteur de risques important pour les maux de dos. La modélisation biomécanique de la colonne vertébrale est la seule approche non invasive permettant d’estimer ces charges, mais la complexité de ces modèles limite leur utilisation par des ergonomes. Pour aider ces derniers à identifier des situations à risque de blessures au dos afin de limiter le chargement aux structures lombaires, il existe des outils d’aide à la décision comme l’équation de levage du NIOSH (Revised NIOSH Lifting Equation, Waters et al., 1993) ainsi que les tables …