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1

Lightner, Cynthia. "Experiences and Barriers for Patient Safety Officers Conducting Root Cause Analysis." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3796.

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Research shows that, when unintentional harm to patients in outpatient and hospital settings occurs, root cause analysis (RCA) investigations should be conducted to identify and implement corrective actions to prevent future patient harm. Executives at a small healthcare consulting company that employs patient safety officers (PSOs) responsible for conducting RCAs were concerned with the low quality of RCA outcomes, prompting this postinvestigation assessment of PSOs' RCA training and experiences. Guided by adult learning theory, the purpose of this study was to assess PSOs' RCA training and i
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Conradsson, Emil, and Vidar Johansson. "A MODEL-INDEPENDENT METHODOLOGY FOR A ROOT CAUSE ANALYSIS SYSTEM : A STUDY INVESTIGATING INTERPRETABLE MACHINE LEARNING METHODS." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160372.

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Today, companies like Volvo GTO experience a vast increase in data and the ability toprocess it. This makes it possible to utilize machine learning models to construct a rootcause analysis system in order to predict, explain and prevent defects. However, thereexists a trade-off between model performance and explanation capability, both of whichare essential to such system.This thesis aims to, with the use of machine learning models, inspect the relationshipbetween sensor data from the painting process and the texture defectorange peel. Theaim is also to evaluate the consistency of different ex
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Blomqvist, Per, and Patrus Athir. "Investigation of Wear in Spline Coupling for Saw Unit JPS R5500." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39823.

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JPS Teknik AB in Färila, located in the middle of Sweden, is a company in manufacturingsaw units to harvester heads. This thesis is about the company's best selling saw unit, JPSR5500. The saw unit is powered by a hydraulic motor, the torque is transmitted from themotor into the saw unit thought a spline coupling. In this spline coupling, some of the unitshave been weared out after about 2000 harvester machine hours. When the splines wear outthe failure induce a total stop, the bolt connecting the hub and the motor shaft breaks, and thesaw unit assembly get loose. The purpose with this study i
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Melo, Daniel Araújo. "ARCA - Alerts root cause analysis framework." Universidade Federal de Pernambuco, 2014. https://repositorio.ufpe.br/handle/123456789/13946.

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Submitted by Luiza Maria Pereira de Oliveira (luiza.oliveira@ufpe.br) on 2015-05-15T14:58:14Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) DISSERTAÇÃO Daniel Araújo Melo.pdf: 2348702 bytes, checksum: cdf9ac0421311267960355f9d6ca4479 (MD5)<br>Made available in DSpace on 2015-05-15T14:58:14Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) DISSERTAÇÃO Daniel Araújo Melo.pdf: 2348702 bytes, checksum: cdf9ac0421311267960355f9d6ca4479 (MD5) Previous issue date: 2014-09-08<br>Modern virtual
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AGUIAR, MILENA CABRAL. "ROOT CAUSE ANALYSIS: SURVEY METHODS AND EXEMPLIFATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23437@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO<br>Grandes desafios surgiram para as organizações devido ao avanço tecnológico ocorrido nos últimos tempos. Qualidade no produto não é mais um meio para se obter vantagem competitiva, mas sim uma necessidade para as organizações manterem seus clientes. Deste modo, formas para que a qualidade esteja cada vez mais presente nas organizações se fazem necessárias. Neste contexto, os objetivos do presente trabalho são estudar os
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6

Elliott, Grant Stephen. "Improving customer service contact root-cause analysis." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/50095.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2009.<br>Includes bibliographical references (p. 50).<br>When a customer calls or e-mails customer service, a customer service agent will diagnose the issue, render a solution, and then wrap-up the call or e-mail. For many customer service departments, this wrap-up process requires the agent to classify the reason the customer contacted customer service. Typicall
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7

Josefsson, Tim. "Root-cause analysis throughmachine learning in the cloud." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-340428.

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It has been predicted that by 2021 there will be 28 billion connected devices and that 80% of global consumer internet traffic will be related to streaming services such as Netflix, Hulu and Youtube. This connectivity will in turn be matched by a cloudinfrastructure that will ensure connectivity and services. With such an increase in infrastructure the need for reliable systems will also rise. One solution to providing reliability in data centres is root-cause analysis where the aim is to identifying the root-cause of a service degradation in order to prevent it or allow for easy localization
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8

Liu, Changlin. "Root Cause Localization for Unreproducible Builds." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1595524817828183.

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9

Ellis, Kathryn. "Improving root cause analysis of bacteriological water quality failures." Thesis, University of Sheffield, 2013. http://etheses.whiterose.ac.uk/5701/.

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10

Medidi, Prasadbabu. "Waste in Lean Software Development : A Root Cause Analysis." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4238.

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Context: Removal of wastes is a crucial area in lean software development. It has been found that there was little evidence on root causes of wastes in lean software development. Root causes from the state of practice had not being investigated. Furthermore, relations between wastes were now successfully exposed through root cause identifications process. Objectives: The objective of this study was to perform an in-depth investigation to identify causes which lead to wastes in Lean software development process in the context of medium to large software development. To this end, researcher also
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11

Siekkinen, Matti. "Root cause analysis of TCP throughput : methodology, techniques, and applications." Nice, 2006. http://www.theses.fr/2006NICE4037.

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The interest for the research community to measure the Internet has grown tremendously during the last couple of years. Thisncrease of interest is largely due to the growth and expansion of the Internet that has been overwhelming. We have experienced exponential growth in terms of traffic volumes and number of devices connected to the Internet. In addition, the heterogeneity of the Internet is constantly increasing: we observe more and more different devices with different communication needs residing in or moving between different types of networks. This evolution has brought up many needs -
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Forsberg, Viktor. "AUTOMATIC ANOMALY DETECTION AND ROOT CAUSE ANALYSIS FOR MICROSERVICE CLUSTERS." Thesis, Umeå universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-164740.

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Large microservice clusters deployed in the cloud can be very difficult to both monitor and debug. Monitoring theses clusters is a fi€rst step towards detection of anomalies, deviations from normal behaviour. Anomalies are oft‰en indicators that a component is failing or is about to fail and should hence be detected as soon as possible. Th‘ere are oft‰en lots of metrics available to view. Furthermore, any errors that occur oft‰en propagate to other microservices making it hard to manually locate the root cause of an anomaly, because of this automatic methods are needed to detect and correct t
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Mustafa, Mohamed. "A Model to Identify Failure & the Root Cause." Thesis, Linnéuniversitetet, Institutionen för maskinteknik (MT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-68770.

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Through identifying failure manufacturing companies compete in today’s world to gain beneficial attributes. The purpose if this thesis is to develop a model towards identifying failure and the root cause. The model developed to identify failure and the root cause toward it, which should result it decrease in failure time (nonfunction machine). The developed model has tested and analyzed in a manufacturing company. The model has been established through studies based on preventive and predictive maintenance: FMEA &amp; RCA.
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Bedford, Nigel St John. "Hong Kong's 1997 problem : critical analysis of its root cause(s) /." Thesis, [Hong Kong : University of Hong Kong], 1992. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13302164.

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15

Riesel, Max. "Root cause analysis using Bayesian networks for a video streaming service." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252717.

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In this thesis, an approach for localizing culprits of degradation of quality measures in an IPTV streaming service using Bayesian net-work is presented. This task is referred to as Root Cause Analysis(RCA). The objective of this thesis is to develop a model that is able to provide useful information to technicians by generating a list of probable root causes in order to shorten the amount of time spent on trouble shooting. A performance comparison is presented in Section Experimental results with Bayesian models such as Naive Bayes (NB),Tree Augmented naive Bayes (TAN) and Hill Climbing (HC)
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Sun, Xuewen M. Eng Massachusetts Institute of Technology, and Bangqi Yin. "A root cause analysis of stock-outs in the pharmaceutical industry." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92120.

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Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 45-46).<br>PharCo (an assumed name) is a leading global healthcare company with well-recognized brands of both pharmaceutical and consumer healthcare products. As PharCo continues to expand its global presence, product stock-outs in their pharmaceutical business unit have been consistently increasing. PharCo suspected that manufacturing quality defects were a major cause of stock-outs, reducing the produc
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Wepener, Clare. "The development and validation of a questionnaire on Root Cause Analysis." Master's thesis, Faculty of Health Sciences, 2021. http://hdl.handle.net/11427/33082.

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Background: Root Cause Analysis (RCA) is a method of investigating adverse events (AEs). The purpose of RCA is to improve quality of care and patient safety through a retrospective, structured investigative process of an incident, resulting in recommendations to prevent the recurrence of medical errors. Aim: The aim of the study was to develop and validate a prototype questionnaire to establish whether the RCA model and processes employed at the research setting were perceived by the users to be acceptable, thorough and credible in terms of internationally established criteria. Methods: This i
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Roberts, J. (Juho). "Iterative root cause analysis using data mining in software testing processes." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201604271548.

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In order to remain competitive, companies need to be constantly vigilant and aware of the current trends in the industry in which they operate. The terms big data and data mining have exploded in popularity in recent years, and will continue to do so with the launch of the internet of things (IoT) and the 5th generation of mobile networks (5G) in the next decade. Companies need to recognize the value of the big data they are generating in their day-to-day operations, and learn how and why to exploit data mining techniques to extract the most knowledge out of the data their customers and the co
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López, Sergio. "Anomaly Detection and Root Cause Analysis for LTE Radio Base Stations." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231618.

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This project aims to detect possible anomalies in the resource consumption of radio base stations within the 4G LTE Radio architecture. This has been done by analyzing the statistical data that each node generates every 15 minutes, in the form of "performance maintenance counters". In this thesis, we introduce methods that allow resources to be automatically monitored after software updates, in order to detect any anomalies in the consumption patterns of the different resources compared to the reference period before the update. Additionally, we also attempt to narrow down the origin of anomal
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Patsanis, Alexandros. "Network Anomaly Detection and Root Cause Analysis with Deep Generative Models." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-397367.

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The project's objective is to detect network anomalies happening in a telecommunication network due to hardware malfunction or software defects after a vast upgrade on the network's system over a specific area, such as a city. The network's system generates statistical data at a 15-minute interval for different locations in the area of interest. For every interval, all statistical data generated over an area are aggregated and converted to images. In this way, an image represents a snapshot of the network for a specific interval, where statistical data are represented as points having differen
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Mdini, Maha. "Anomaly detection and root cause diagnosis in cellular networks." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2019. http://www.theses.fr/2019IMTA0144/document.

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Grâce à l'évolution des outils d'automatisation et d'intelligence artificielle, les réseauxmobiles sont devenus de plus en plus dépendants de la machine. De nos jours, une grandepartie des tâches de gestion de réseaux est exécutée d'une façon autonome, sans interventionhumaine. Dans cette thèse, nous avons focalisé sur l'utilisation des techniques d'analyse dedonnées dans le but d'automatiser et de consolider le processus de résolution de défaillancesdans les réseaux. Pour ce faire, nous avons défini deux objectifs principaux : la détectiond'anomalies et le diagnostic des causes racines de ces
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Pereira, Rosangela de Fátima. "A data-driven solution for root cause analysis in cloud computing environments." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-03032017-082237/.

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The failure analysis and resolution in cloud-computing environments are a a highly important issue, being their primary motivation the mitigation of the impact of such failures on applications hosted in these environments. Although there are advances in the case of immediate detection of failures, there is a lack of research in root cause analysis of failures in cloud computing. In this process, failures are tracked to analyze their causal factor. This practice allows cloud operators to act on a more effective process in preventing failures, resulting in the number of recurring failures reduct
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Philip, Justin. "Root cause analysis of production defects in a foundry using lean tools." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/14565.

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Inlcudes bibliographical references.<br>Lean manufacturing is one of the philosophies that many major businesses have been trying to adopt in order to remain competitive in an increasingly global market. This research project focuses on the implementation of lean principles, standardizing operations in the production line and thereby improving productivity. The study is conducted in a large-scale metal casting company, Atlantis Foundries which manufactures cylinder blocks and gear box castings. At present scrap and rework rate of heavy duty, cores exceed set targets; this is a major quality co
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Tian, Yue. "On improving estimation of root cause distribution of volume diagnosis." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6653.

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Identifying common root causes of systematic defects in a short time is crucial for yield improvement. Diagnosis driven yield analysis (DDYA) such as Root cause deconvolution (RCD) is a method to estimate root cause distribution by applying statistical analysis on volume diagnosis. By fixing identified common root causes, yield can be improved. With advanced technologies, smaller feature size and more complex fabrication processes for manufacturing VLSI semiconductor devices lead to more complicated failure mechanisms. Lack of domain knowledge of such failure mechanisms makes identifying the e
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Zasadziński, Michał. "Model driven root cause analysis and reliability enhancement for large distributed computing systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/663480.

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Over last years the number of Big Data, supercomputing, Internet of Things (IoT) or edge systems has snowballed. The core part of many areas and services in academia and business, are large, distributed, and complex IT systems. Any failure or performance degradation occurring in these systems causes negative effects, e.g., decreased user experience, raised operational costs. As the response, IT operators resolve failures, issues, and unexpected events. Operators are aided with tools for monitoring, diagnostics, and root cause analysis (RCA). They perform actions to recover a system to its norm
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Rademeyer, Anerie. "The development of a root cause analysis process for variations in human performance." Thesis, Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-04012009-231223/.

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Parthasarathy, Sailashri 1982. "Application of artificial intelligence techniques for root cause analysis of customer support calls." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111276.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2017.<br>Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, in conjunction with the Leaders for Global Operations Program at MIT, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes
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Sowade, Enrico, Eloi Ramon, Kalyan Yoti Mitra, et al. "All-inkjet-printed thin-film transistors: manufacturing process reliability by root cause analysis." Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-211665.

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We report on the detailed electrical investigation of all-inkjet-printed thin-film transistor (TFT) arrays focusing on TFT failures and their origins. The TFT arrays were manufactured on flexible polymer substrates in ambient condition without the need for cleanroom environment or inert atmosphere and at a maximum temperature of 150 °C. Alternative manufacturing processes for electronic devices such as inkjet printing suffer from lower accuracy compared to traditional microelectronic manufacturing methods. Furthermore, usually printing methods do not allow the manufacturing of electronic devic
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Lambert, Madeline(Madeline Marie). "A root cause analysis of REXIS detection efficiency loss during phase E operations." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127077.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, May, 2020<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 203-205).<br>The Regolith X-ray Imaging Spectrometer (REXIS) is a student-built instrument flown on NASA's Origins, Spectral Interpretation, Resource Identification, Safety, Regolith Explorer (OSIRIS-REx) mission. During main science operations, the instrument experienced detector efficiency loss in the form of loss of iron calibration source counts, which greatly affected the science output. In th
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Perez, Bianca. "A root cause analysis of the barriers to transparency among physicians a systemic perspective." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4821.

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Transparency in healthcare relates to formally reporting medical errors and disclosing bad outcomes to patients and families. Unfortunately, most physicians are not in the habit of communicating transparently, as many studies have shown the existence of a large medical error information gap. Research also shows that creating a culture of transparency would mutually support patient safety and risk management goals by concomitantly reducing medical errors and alleviating the malpractice crisis. Three predictor variables are used to represent the various dimensions of the context just descri
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Jacob, Thomas. "Root cause analysis of low on-time delivery performance at a computer manufacturing plant." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/46079.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 1997, and Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1997.<br>Includes bibliographical references (p. 73).<br>by Thomas Jacob.<br>M.S.<br>M.B.A.
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Harper, Benjamin C. "Root cause analysis and mitigation paths for persistent inventory shortages to an assembly area." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43835.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.<br>Includes bibliographical references (p. 89-90).<br>The strategic alignment of a company impacts the culture of the organization, which in turn reinforces the strategic alignment. The corporate behavior resulting from the combination of alignment and culture determines the organization's ability to handle disruption and change. This thesis expl
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von, Hacht Johan. "Anomaly Detection for Root Cause Analysis in System Logs using Long Short-Term Memory." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301656.

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Many software systems are under test to ensure that they function as expected. Sometimes, a test can fail, and in that case, it is essential to understand the cause of the failure. However, as systems grow larger and become more complex, this task can become non-trivial and potentially take much time. Therefore, even partially, automating the process of root cause analysis can save time for the developers involved. This thesis investigates the use of a Long Short-Term Memory (LSTM) anomaly detector in system logs for root cause analysis. The implementation is evaluated in a quantitative and a
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Ali, Raman. "Root Cause Analysis for In-Transit Time Performance : Time Series Analysis for Inbound Quantity Received into Warehouse." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184062.

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Cytiva is a global provider of technologies to global pharmaceutical companies and it is critical to ensure that Cytiva’s customers receive deliveries of products on-time. Cytiva’s products are shipped via road transportation within most parts of Europe and for the rest in the world air freight is used. The company is challenged to deliver products on time between regional distribution points and from manufacturing sites to its regional distribution centers. The time performance for the delivery of goods is today 79% compared to the company’s goal 95%. The goal of this work is to find the root
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Jain, Pranav. "Root cause analysis of solder flux residue incidence in the manufacture of electronic power modules." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/69489.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 75-76).<br>This work investigates the root causes of the incidence of solder flux residue underneath electronic components in the manufacture of power modules. The existing deionized water-based centrifugal cleaning process was analyzed and hypotheses for root causes of the problem were proposed. The experimentation included cleaning tests using agitation and soak cycles. Parameters such as chemical agent, time and t
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Shabbir, Muhammad Humas. "Streamlining information and part flow by re-designing process flow to aid root cause analysis." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113727.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (page 63).<br>Waters Corporation is a world leading analytical instrument manufacturing company, with an overarching goal of achieving and maintaining high product robustness. Analysis of the challenge identifies the problem of lack of root cause analy
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Balasubramanian, Prashanth. "Root cause analysis-based approach for improving preventive/corrective maintenance of an automated prescription-filling system." Diss., Online access via UMI:, 2009.

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Thesis (M.S.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2009.<br>Includes bibliographical references.
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Miller, Kristi. "Effect of Root Cause Analysis on Pre-Licensure, Senior-Level Nursing Students’ Safe Medication Administration Practices." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3432.

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Aim: The aim of this study was to examine if student nurse participation in root cause analysis has the potential to reduce harm to patients from medication errors by increasing student nurse sensitivity to signal and responder bias. Background: Schools of nursing have traditionally relied on strategies that focus on individual characteristics and responsibility to prevent harm to patients. The modern patient safety movement encourages utilization of systems theory strategies like Root Cause Analysis (RCA). The Patient Risk Detection Theory (Despins, Scott-Cawiezell, & Rouder, 2010) supports t
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Madenas, Nikolaos. "Integrating product lifecycle management systems with maintenance information across the supply chain for root cause analysis." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9331.

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Purpose: The purpose of this research is to develop a system architecture for integrating PLM systems with maintenance information to support root cause analysis by allowing engineers to visualise cross supply chain data in a single environment. By integrating product-data from PLM systems with warranty claims, vehicle diagnostics and technical publications, engineers were able to improve the root cause analysis and close the information gaps. Methodology: The methodology was divided in four phases and combined multiple data collection approaches and methods depending on each objective. Data c
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Solakoglu, Gokce. "Using DMAIC methodology to optimize data processing cycles with an overall goal of improving root cause analysis procedure." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113768.

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Thesis: M. Eng. in Advanced Manufacturing and Design, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 68-69).<br>The main objective of this thesis is to use the DMAIC methodology to streamline customer related procedures in Waters Corporation in order to improve root cause analysis (RCA) capability. First, a software based approach is proposed to streamline the data collection stage in the field. The proposed system would ensure that field service reports capture essential
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Regele, Oliver Brian. "Applied discrete event simulation for root cause analysis and evaluation of corrective process change Efficacy within vaccine manufacturing." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/126896.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, May, 2020<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 137-141).<br>Digital Transformation of the Biopharmaceutical industry is enabling improved operations through smart manufacturing. One area of interest is the application of advanced data analytics techniques to supplement traditional workflows. The focus of this research was developing a
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Swift, James D. "Root Cause Analysis and Classification of Single Point Failures in Designs Applying Triple Modular Redundancy in SRAM FPGAs." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8744.

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Radiation effects encountered in space or aviation environments can affect the configuration bits in Field Programmable Gate Arrays (FPGA) causing errors in FPGA output. One method of increasing FPGA reliability in radiation environments includes adding redundant logic to mask errors and allow time for repair. Despite the redundancy added with triple modular redundancy (TMR) and configuration scrubbing there exist some configuration bits that individually affect multiple TMR domains causing errors in FPGA output. A new tool called DeBit is introduced that identifies hardware resources associat
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Sagala, Ramadhan Kurniawan. "Visualization of Vehicle Usage Based on Position Data for Root-Cause Analysis : A Case Study in Scania CV AB." Thesis, Uppsala universitet, Människa-datorinteraktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355909.

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Root cause analysis (RCA) is a process in Scania carried out to understand the root cause of vehicle breakdowns. It is commonly done by studying vehicle warranty claims and failure reports, identifying patterns that are correlated to the breakdowns, and then analyzing the root cause based on those findings. Vehicle usage is believed to be one of the factors that may contribute towards the breakdowns, but the data on vehicle usage is not commonly utilized in RCA. This thesis investigates a way to help RCA process by introducing a dataset of vehicle usage based on position data gathered in proje
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Youssef, Amanda. "Root-cause analysis and characterization of oxygen-related defects in silicon PV material : an approach from macro to nanoscale." Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/122510.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 141-155).<br>With energy demand forecasted to grow significantly, efforts towards mitigating global warming effects by reducing greenhouse gas emissions are becoming stricter as more power generation plants are deployed to meet the global demand. Deployment of renewable energy technologies as a low-carbon alternative to fossil fuel is an attractive solution. Photovoltaics (PV) present several advantages over oth
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Thorsell, Tobias. "Orsaksanalys och lösningsförslag vid fel vid kommunikation av växelläge." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Maskinteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-19025.

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Detta examensarbete på C-nivå har genomförts i samarbete med Kongsberg Automotive i Mullsjö som utvecklar och tillverkar komponenter till fordons-industrin.Företaget har fått reklamationer på en växelväljare i deras sortiment och är en produkt som sitter i kundens lastbilar och bussar. Felen har uppträtt relativt sällan men med tillräckligt stor marginal för att de ska klassas som allvarliga fel. Dessa fel är kopplade till den magnetarm som kommunicerar med transmissionen i fordonet och konsekvensen av dessa fel blir att fordonet blir obrukbart och måste bärgas bort.Syftet med detta examensarb
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Liu, Qinyan. "Optimal coordinate sensor placements for estimating mean and variance components of variation sources." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/2238.

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In-process Optical Coordinate Measuring Machine (OCMM) offers the potential of diagnosing in a timely manner variation sources that are responsible for product quality defects. Such a sensor system can help manufacturers improve product quality and reduce process downtime. Effective use of sensory data in diagnosing variation sources depends on the optimal design of a sensor system, which is often known as the problem of sensor placements. This thesis addresses coordinate sensor placement in diagnosing dimensional variation sources in assembly processes. Sensitivity indices of detecting proce
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Carata, Lucian. "Provenance-based computing." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/287562.

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Relying on computing systems that become increasingly complex is difficult: with many factors potentially affecting the result of a computation or its properties, understanding where problems appear and fixing them is a challenging proposition. Typically, the process of finding solutions is driven by trial and error or by experience-based insights. In this dissertation, I examine the idea of using provenance metadata (the set of elements that have contributed to the existence of a piece of data, together with their relationships) instead. I show that considering provenance a primitive of compu
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Liang, Ge, and Liang Yu. "Quality Driven Re-engineering Framework." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2161.

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Context. Software re-engineering has been identified as a business critical activity to improve legacy systems in industries. It is the process of understanding existing software and improving it, for modified or improved functionality, better maintainability, configurability, reusability, or other quality goals. However, there is little knowledge to integrate software quality attributes into the re-engineering process. It is essential to resolve quality problems through applying software re-engineering processes. Objectives. In this study we perform an in-depth investigation to identify and r
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Willeke, Larissa, and Wiktor Suvander. "Incomplete Delivery : Description of Causes and Effects." Thesis, Linköpings universitet, Kvalitetsteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-98726.

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Quality defects are a common problem for producing companies, but causes and consequences are often unknown. The purpose of this thesis assignment is to develop a step-by-step analysis method for identifying the root causes of quality defects based on previously examined consequences. The first steps focus on customer recovery meanwhile the following steps concentrate on process recovery. The analysis method is process-orientated as the complete production and delivery process are scrutinized upstream by the combination of commonly used quality tools.   For testing the applicability of the pre
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Harbs, Justin, and Jack Svensson. "Automated alarm and root-cause analysis based on real time high-dimensional process data : Part of a joint research project between UmU, Volvo AB & Volvo Cars." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-148511.

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Today, a large amount of raw data are available within manufacturing industries. Unfortunately, most of it is not further analyzed in search of valuable information regarding the optimization of processes. In the painting process at the Volvo plant in Umeå, adjusted settings on the process equipments (e.g. robots, machines etc.) are mostly based on the experience of the personnel rather than actual facts (i.e. analyzed data). Consequently, time- and cost waste caused by defects is obtained when painting the commercial heavy-duty truck bodies (cabs). Hence, the aim of this masters thesis is to
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