Engineering Commons^™

Neural Signatures Of Human Perception Of Effort And Comfort In Isometric Arm Force Exertions By Males, Raul Fernandez Sumano

Electronic Theses and Dissertations, 2020-2023

Understanding the brain's electrical activity provides objective evidence of different psychophysical phenomena related to manual handling tasks. The primary objective of this research was to assess the neural signatures of human physical efforts and perceived comfort in isometric arm exertions. Two experiments were conducted with male participants (n=20) who applied isometric forces at 1) different levels of exertion and 2) different levels of physical comfort. EEG signals, the rate of perceived exertion (RPE), and the rate of perceived physical comfort (RPC) have been recorded. The results showed statistically significant differences in EEG's power spectral density (PSD) at different brain regions …

Factors That Affect The Successful Implementation Of Quality Management Systems In Healthcare, Mustafa Rawshdeh

Electronic Theses and Dissertations, 2020-2023

Modern Organizations must be high performing to sustain and grow their operations. This is particularly true for healthcare organizations as they have complex and sensitive operations. One way to improve organizational performance is to adopt Quality Management Systems (QMSs). QMSs organize and improve the effectiveness of all processes to meet stakeholder requirements and achieve organizational performance improvements in alignment with strategic goals. However, the value of QMSs is dependent on successful implementation, which is reportedly quite challenging. This doctoral research examines the factors that affect the successful implementation of QMSs in healthcare. First, a systematic analysis of the published literature …

A Framework For Mitigating Obsolescence In Military Based Systems, Ryan Rust

Electronic Theses and Dissertations, 2020-2023

Obsolescence is an unavoidable reality in manufacturing systems and supply chain environments as systems are needed to be sustained for longer and longer periods of time. These extended life cycle products include airplanes, ships, industrial equipment, medical equipment, and military systems. The United States military has coined this issue as Diminishing Manufacturing Sources and Material Shortages (DMSMS). Research shows that the main areas of concern for obsolescence are cost optimization, obsolescence management, system life cycle, design/system refresh planning, architecture/open systems, and end-of-life (EOL) predictions. This effort suggests a need for a more effective management approach to tackling obsolescence with an …

Eeg-Based Signatures Of Isometric Arm Forces By Females At Different Levels Of Physical Exertion And Comfort, Mahjabeen Rahman

Electronic Theses and Dissertations, 2020-2023

In recent years, electroencephalography (EEG) has become a valuable technique for ergonomics studies of physical activities and other real-life tasks. Since the perception of force exertion is influenced by various psychophysical, cognitive, and social factors, different subjective measures have been traditionally used to measure the perception of physical exertion and related body discomfort. Along with the subjective measures, research showed that neural signals are also necessary objective measures to understanding human perception of physical tasks. However, EEG signatures of different physical exertion levels and perceived physical comfort have not been explored. The main objective of this study was to investigate …

Investigating The Interaction Effects Of Green Product Development And Countries Green Growth Performance: Economic Complexity Perspective, Seyyedmilad Talebzadehhosseini

Electronic Theses and Dissertations, 2020-2023

For many years, natural resources have been used as the main input of production process in countries around the world, which has caused many problems to our planet such as rapid climate change, loss of biodiversity, drastic environmental events, and social problems. In recent years, pressure on countries to transition to cleaner production processes to mitigate problems arising from using natural resources has increased. As a result, green products have become a point of interest due to their low environmental impact, and green product development has become an important part of green growth policies for many countries. Green product development …

Can Backward-Chained, Ab-Initio Pilot Training Decrease Time To First Solo?, Samuel M. Vance, Kat Gardner-Vandy, Jared Alan Freihoefer

Journal of Aviation/Aerospace Education & Research

Flight simulation has made progressively significant inroads into pilot training at all levels of a pilot’s career – typically starting with training for the Instrument rating in light aircraft and concluding with Type Certification in transport category jetliners. This research was designed to explore if significant training inroads could also be offered to ab-initio pilots, those with no prior flight experience. An experimental group of four pilot trainees, without prior flight experience, were exposed to flight in a backwards-chained simulation starting from 4’ AGL (Above Ground Level). Graduated, exponential increments of both altitude and distance from landing were successively added …

Enhancing Cyberweapon Effectiveness Methodology With Se Modeling Techniques: Both For Offense And Defense, C. Ariel Pinto, Matthew Zurasky, Fatine Elakramine, Safae El Amrani, Raed M. Jaradat, Chad Kerr, Vidanelage L. Dayarathna

Engineering Management & Systems Engineering Faculty Publications

A recent cyberweapons effectiveness methodology clearly provides a parallel but distinct process from that of kinetic weapons – both for defense and offense purposes. This methodology promotes consistency and improves cyberweapon system evaluation accuracy – for both offensive and defensive postures. However, integrating this cyberweapons effectiveness methodology into the design phase and operations phase of weapons systems development is still a challenge. The paper explores several systems engineering modeling techniques (e.g., SysML) and how they can be leveraged towards an enhanced effectiveness methodology. It highlights how failure mode analyses (e.g., FMEA) can facilitate cyber damage determination and target assessment, how …

A Blockchain-Enabled Model To Enhance Disaster Aids Network Resilience, Farinaz Sabz Ali Pour, Paul Niculescu-Mizil Gheorghe

Engineering Management & Systems Engineering Faculty Publications

The disaster area is a true dynamic environment. Lack of accurate information from the affected area create several challenges in distributing the supplies. The success of a disaster response network is based on collaboration, coordination, sovereignty, and equality in relief distribution. Therefore, a trust-based dynamic communication system is required to facilitate the interactions, enhance the knowledge for the relief operation, prioritize, and coordinate the goods distribution. One of the promising innovative technologies is blockchain technology which enables transparent, secure, and real-time information exchange and automation through smart contracts in a distributed technological ecosystem. This study aims to analyze the application …

A Fuzzy Clustering Methodology To Analyze Interfaces And Assess Integration Risks In Large-Scale Systems, Josh Henry Goldschmid

Doctoral Dissertations

“Interface analysis and integration risk assessment for a large-scale, complex system is a difficult systems engineering task, but critical to the success of engineering systems with extraordinary capabilities. When dealing with large-scale systems there is little time for data gathering and often the analysis can be overwhelmed by unknowns and sometimes important factors are not measurable because of the complexities of the interconnections within the system. This research examines the significance of interface analysis and management, identifies weaknesses in literature on risk assessment for a complex system, and exploits the benefits of soft computing approaches in the interface analysis in …

An Improvement Of Data Analytics Detection Rules In The Internal Audit Of The Procurement And Inventory Processes, Penpak Rangsipunyaporn

Chulalongkorn University Theses and Dissertations (Chula ETD)

Data analytics is a powerful tool to deliver value-added internal audit results as it reduces execution time and increases efficiency, effectiveness, and assurance level compared with the audit sampling approach. Because detection rules are criteria applied in the data analytics method to discover anomalies in the business transactions. Therefore, this project aims to improve the anomaly detection rules in the procure-to-pay and inbound inventory processes for an audit firm based in Thailand to provide internal audit services for clients in the manufacturing business. The sub-processes cover (1) process governance, (2) vendor selection, evaluation, and master data maintenance, (3) ordering, (4) …

Total Quality And Innovation Management In Hospital, Suebsakul Tonjang

Chulalongkorn University Theses and Dissertations (Chula ETD)

Previously, quality of care and customers' satisfaction in healthcare services is fulfilled only through total quality management (TQM) which as a core management philosophy, as adopted by many healthcare organizations. Nevertheless, TQM focuses on incremental improvement may prove insufficient to address the new technology and innovation-driven organization with a faster pace. Therefore, this research aimed to integrate quality and innovation management in healthcare affecting healthcare performance. To propose the key factor of both TQM and innovation management in healthcare, we conducted a systematic literature review. Then, TQM and innovation management factors were combined and integrated with ISO 56002 as to …

Nnbmss: A Novel And Fast Method For Model Structure Selection, Amaury Lendasse, Kallin Khan, Edward Ratner

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, We Present a New Method to Perform Model Structure Selection. This Proposed Method Can Be Used to Select the Complexity of Any Continuous Regression Method. We Also Present an Asymptotic Mathematical Proof of the Proposed Method and the New Method is Illustrated on a Benchmark. Compared to the Well-Known 10-Fold Cross-Validation, the Computational Time Associated to Our New Method is Approximately Divided by a Factor 8 as Illustrated on the Benchmark.

Machine Learning For Measuring And Analyzing Online Social Communications, Chris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, We Propose a Framework for Application of a Novel Machine Learning-Based System for Analyzing Online Social Communications. as an Example, We Are Targeting Anti-Semitic Graphical Memes Posted to Social Media. We Presented Very Promising Preliminary Results on a Facebook Dataset that Consists of a Total of 10000 Labeled Memes. We Can Conclude that Machine Learning Will Soon Be Able to Successfully Analyze and Monitor Complex Social Communications.

The Impact Of Unequal Processing Time Variability On Reliable And Unreliable Merging Line Performance, Rodrigo Romero-Silva, Sabry Shaaban, Erika Marsillac, Zouhair Laaarraf

Information Technology & Decision Sciences Faculty Publications

Research on merging lines is expanding as their use grows significantly in the contexts of remanufacturing, reverse logistics and developing economies. This article is the first to study the behavior of unpaced, reliable, and unreliable merging assembly lines that are deliberately unbalanced with respect to their coefficients of variation (CV). Conducting a series of simulation runs with varying line lengths, buffer storage capacities and unbalanced CV patterns delivers intriguing results. For both reliable and unreliable lines, the best pattern for generating higher throughput is found to be a balanced configuration (equal CVs along both parallel lines), except for unreliable lines …

Generic Design Methodology For Smart Manufacturing Systems From A Practical Perspective, Part I—Digital Triad Concept And Its Application As A System Reference Model, Zhuming Bi, Wen-Jun Zhang, Chong Wu, Chaomin Luo, Lida Xu

Information Technology & Decision Sciences Faculty Publications

Rapidly developed information technologies (IT) have continuously empowered manufacturing systems and accelerated the evolution of manufacturing system paradigms, and smart manufacturing (SM) has become one of the most promising paradigms. The study of SM has attracted a great deal of attention for researchers in academia and practitioners in industry. However, an obvious fact is that people with different backgrounds have different expectations for SM, and this has led to high diversity, ambiguity, and inconsistency in terms of definitions, reference models, performance matrices, and system design methodologies. It has been found that the state of the art SM research is limited …

An Integrated View Of Knowledge Management Enablers, Components, And Benefits: Comprehensive Literature Review, Shuaibu Hassan Usman, Jigish Zaveri, Aminu Hamza

Journal of International Technology and Information Management

The key to success in the 21^st century, knowledge-based economy, will be the effective and efficient management of knowledge. Knowledge Management (KM) has a direct impact on organizational success. KM in a knowledge-based economy entails growth, value, and improving living standards through knowledge creation, storage, and dissemination. This study aims to integrate KM enablers, components, and benefits into a single view through a comprehensive literature search. The integrative view of these three factors would facilitate the understanding of KM initiatives within organizations. This paper performs a comprehensive literature review to explain the KM enablers, components, and benefits. From the …

A Machine Vision Based Automated Quality Control System For Product Dimensional Analysis, Aditya Akundi, Mark Reyna

Manufacturing & Industrial Engineering Faculty Publications

Quality control (QC) in manufacturing processes is critical to ensuring consumers receive products with proper functionality and reliability. Faulty products can lead to additional costs for the manufacturer and damage trust in a brand. A growing trend in QC is the use of machine vision (MV) systems because of their noncontact inspection, high repeatability, and relatively low cost. This paper presents a robust MV system developed to perform comparative dimensional inspection on diversely shaped samples, including additive manufacturing products. The algorithm used performs dimensional inspection on a base product considered to have acceptable dimensions. The perimeter, area, rectangularity, and circularity …

A Review On Application Of Model Based Systems Engineering To Manufacturing And Production Engineering Systems, Aditya Akundi, Viviana Lopez

Manufacturing & Industrial Engineering Faculty Publications

Increasing complexity in today’s manufacturing and production industry due to the need for higher flexibility and competitiveness is leading to inconsistencies in the iterative exchange loops of the system design process. To address these complexities and inconsistencies, an ongoing industry trend for organizations to make a transition from document-centric principles and applications to being model-centric is observed. In this paper, a literature review is presented highlighting the current need for an industry-wide transition from document-centric systems engineering to Model-Based Systems Engineering (MBSE). Further, investigating the tools and languages used by the researchers for facilitating the transition to and the integration …

Potential Production Of Theranostic Boron Nitride Nanotubes (64cu-Bnnts) Radiolabeled By Neutron Capture, Wellington Marcos Silva, Helio Ribeiro, Jaime Taha-Tijerina

Manufacturing & Industrial Engineering Faculty Publications

In this work, the radioisotope 64Cu was obtained from copper (II) chloride dihydrate in a nuclear research reactor by neutron capture, (63Cu(n, )64Cu), and incorporated into boron nitride nanotubes (BNNTs) using a solvothermal process. The produced 64Cu-BNNTs were analyzed by TEM, MEV, FTIR, XDR, XPS and gamma spectrometry, with which it was possible to observe the formation of64Cu nanoparticles, with sizes of up to 16 nm, distributed through nanotubes. The synthesized of 64Cu nanostructures showed a pure photoemission peak of 511 keV, which is characteristic of gamma radiation. This type of emission is desirable for Photon Emission Tomography (PET scan) …

El Español En Estados Unidos Como Recurso Para La Educación De Hispanos En Ingeniería, Hiram Moya

Manufacturing & Industrial Engineering Faculty Publications

Los Hispanos representan la más grande minoría en Estados Unidos. Sin embargo, el número de estudiantes hispanos en las carreras de ciencias y en particular en ingeniería ha estado subrepresentada por muchos años. Esta falta de representación ha hecho que se estudie de muchas formas los métodos de reclutar y retener y graduar estudiantes hispanos en ingeniería. Sin embargo, la urgencia continúa. Existen muchos retos para mejorar la participación de hispanos en ingeniería, incluyendo la falta costumbre en preguntar o solicitar ayuda, los retos económicos, y la falta de ejemplos a seguir en la facultad. Dado los retos, este artículo …

Direct Selective Laser Synthesis Of Cucrfenitial High Entropy Alloy From Elemental Powders Through Selective Laser Melting, Joni Dhar, Lazaro Lopez, Shanshan Zhang, Ben Xu, Mohammed Jasim Uddin, Jianzhi Li

Manufacturing & Industrial Engineering Faculty Publications

This study investigated the synthesis of CuCrFeNiTiAl high entropy alloy (HEA) from pure elements using selective laser melting (SLM). The objectives are to validate the feasibility of the HEA fabrication from elemental powder materials, and to examine the effect of various process conditions in SLM, such as laser power, point distance and laser exposure time, on the microstructures formed. The as-built samples under high, medium and low energy densities were characterized by X-ray diffraction (XRD), and the microstructures were observed using scanning electron microscopy (SEM). The XRD results showed that five major crystal structure phases (hexagonal, monoclinic, orthorhombic, body-centered cubic …

Machine Learning Model Optimization With Hyper Parameter Tuning Approach, Md. Riyad Hossain, Douglas Timmer

Manufacturing & Industrial Engineering Faculty Publications

Hyper-parameters tuning is a key step to find the optimal machine learning parameters. Determining the best hyper-parameters takes a good deal of time, especially when the objective functions are costly to determine, or a large number of parameters are required to be tuned. In contrast to the conventional machine learning algorithms, Neural Network requires tuning hyperparameters more because it has to process a lot of parameters together, and depending on the fine tuning, the accuracy of the model can be varied in between 25%-90%. A few of the most effective techniques for tuning hyper-parameters in the Deep learning methods are: …

การเพิ่มอัตราคุณภาพสินค้าดีของกระบวนการผลิตเส้นใยสังเคราะห์ชนิดสั้น, เกวลี วรนันท์

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์ฉบับนี้จัดทำขึ้นเพื่อปรับปรุงอัตราคุณภาพของเส้นใยสังเคราะห์ชนิดสั้น โดยมุ่งเน้นในการลดปริมาณสินค้าที่ไม่ได้คุณภาพ รวมทั้งของเสียที่เกิดขึ้นในกระบวนการผลิต ซึ่งเริ่มเก็บรวบรวมข้อมูลย้อนหลังตั้งแต่เดือนธันวาคม 2562 ถึง ตุลาคม 2563 และแสดงปัญหาที่เกิดขึ้นในกระบวนการผลิตด้วยกราฟพาเรโต แล้วทำการระดมความคิดเพื่อวิเคราะห์หาปัจจัยที่มีผลต่ออัตราคุณภาพด้วยแผนผังเหตุ และผล จากนั้นทำการวิเคราะห์ข้อบกพร่องและผลกระทบปัญหาด้านคุณภาพเพื่อทำการประเมินความรุนแรงของการเกิดข้อบกพร่อง โอกาสในการเกิดข้อบกพร่อง และความสามารถในการตรวจจับข้อบกพร่อง เพื่อคำนวณหาค่าดัชนีความเสี่ยง โดยจะทำการเลือกปัญหาที่มีค่าดัชนีความเสี่ยงมากที่สุดได้แก่ 1) ลมเย็นออกไม่สม่ำเสมอ 2) การเคลื่อนที่ของถังใส่เส้นใยและลูกกลิ้งไม่สัมพันธ์กัน หลังจากทำการปรับปรุงปัญหาที่ส่งผลต่ออัตราคุณภาพ พบว่าอัตราคุณภาพสินค้าดีมีปริมาณเพิ่มขึ้นจากเดิมร้อยละ 92.97 เป็นร้อยละ 95.79 และอัตราคุณภาพสินค้าไม่ได้คุณภาพ และของเสียมีปริมาณลดลงจากเดิมร้อยละ 7.03 เป็นร้อยละ 4.21 ซึ่งคิดเป็นเงินจะมีกำไรเพิ่มขึ้นเฉลี่ยเดือนละ 130,892.63 บาท เมื่อทำการผลิตที่ 93 ตันต่อวัน หลังจากนั้นทางบริษัทกรณีศึกษาจึงทำการเพิ่มกำลังการผลิตเพื่อตอบสนองความต้องการของลูกค้าเป็น 96 ตันต่อวัน

Les Lésions Professionnelles De La Coiffe Des Rotateurs De L'Épaule : Optimiser La Prise En Charge Des Travailleurs Et Favoriser Le Retour Au Travail, François Desmeules, Jean-Sébastien Roy, Joseph-Omer Dyer, Pierre Frémont, Clermont Dionne, Joy C. Macdermid, Michel Tousignant, Annie Rochette

Rapports de recherche scientifique

Les atteintes musculosquelettiques de l’épaule sont fréquentes chez les travailleurs. En plus d’affecter leur qualité de vie, elles entraînent une augmentation de l’absentéisme et une diminution de la productivité, et peuvent conduire à une retraite anticipée. Pour l’année 2017, la province de Québec a enregistré 2,1 milliards de dollars en prestations en lien avec des lésions professionnelles. Environ 8 % de ces réclamations étaient dues à une lésion touchant l’articulation de l’épaule (CNESST, 2018).

Les lésions de la coiffe des rotateurs (CR) sont les affections les plus rencontrées chez les travailleurs présentant une atteinte à l’épaule. Présentement, les cliniciens ne …

Les Lésions Professionnelles De La Coiffe Des Rotateurs De L'Épaule : Optimiser La Prise En Charge Des Travailleurs Et Favoriser Le Retour Au Travail : Matériel Supplémentaire, François Desmeules, Jean-Sébastien Roy, Joseph-Omer Dyer, Pierre Frémont, Clermont Dionne, Joy C. Macdermid, Michel Tousignant, Annie Rochette

Rapports de recherche scientifique

Voir également :

• Les lésions professionnelles de la coiffe des rotateurs de l'épaule : optimiser la prise en charge et en favoriser le retour au travail, RA-1119-fr

• Les lésions professionnelles de la coiffe des rotateurs de l’épaule : optimiser la prise charge et en favoriser le retour au travail : guide de pratique clinique, RG-1119-fr

Développement, Validation Et Application D’Une Méthode Quantitative Pour Évaluer Les Déplacements Des Pieds Des Manutentionnaires, André Plamondon, Antoine Muller, Xavier Robert-Lachaîne, Jasmin Vallée-Marcotte, Denys Denis, Christian Larue, Hakim Mecheri, Philippe Corbeil

Rapports de recherche scientifique

Les troubles musculosquelettiques lors d’activités de manutention manuelle (MM) sont encore très présents dans nos milieux de travail. Les facteurs de risque biomécanique les plus souvent associés aux douleurs au dos incluent la manutention manuelle, les répétitions excessives, les torsions du tronc et les levers de charges lourdes. Plusieurs déterminants d’une tâche de MM ont été étudiés pour déterminer leur importance sur l'exposition physique des travailleurs. Par exemple, la hauteur de la charge, la distance initiale de la charge par rapport au corps, la masse soulevée et la vitesse du soulèvement sont tous des déterminants liés à la …

Confort Thermique Et Mobilité Des Policiers Motards Lors Du Port Du Gilet Pare-Balles : Une Analyse Ergonomique, Steve Vezeau, Alain S. Comtois, Victoria Budico

Rapports de recherche scientifique

Plusieurs études démontrent une diminution importante des risques de décès chez les agents de police qui portent un gilet pare-balles (GPB). Cependant, certains patrouilleurs demeurent réticents à le revêtir à cause des inconforts qu’il engendre sur les plans thermiques et de la mobilité; ceux-ci représentent 8 % de l’ensemble des agents de police et 47 % des agents motards, ce qui accroît les risques pour leur sécurité. Les agents des unités motocyclistes seraient donc parmi les plus exposés, notamment en raison de conditions particulières telles que le travail à l’extérieur, la proximité d’une source de chaleur (moteur), le port de …

ปัจจัยที่ส่งผลต่อประสิทธิภาพในการผสมแบบข้นหนืด, วรกาญจน์ คณกร

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้มีวัตถุประสงค์เพื่อศึกษาปัจจัยที่ส่งผลต่อประสิทธิภาพในการผสมแบบข้นหนืดด้วยเครื่อง Hi-Shear Vacuum Mixer (HSVM) โดยตรวจสอบจากการวัดค่าความสูงของตะกอนในการชงไซรัปสีน้ำตาลต้องไม่เกินเกณฑ์มาตรฐาน 13 มิลลิเมตร และค่าความสามารถด้านสมรรถนะของกระบวนการผลิตระยะสั้น (Cpk) ของเครื่องจักรต้องไม่ต่ำกว่าเกณฑ์ โดยนำเอาแผนผังก้างปลาควบคู่กับตารางความสัมพันธ์ของสาเหตุและผลทำการวิเคราะห์ถึงสาเหตุของปัญหา จากนัั้นทำการคัดกรองปัจจัยเบื้องต้นด้วยวิธี FMEA พร้อมทั้งประยุกต์ใช้เทคนิคการออกแบบการทดลองเศษส่วนเชิงแฟคทอเรียลแบบสองระดับ (2k Factorial Fraction Design) เพื่อลดปัจจัยหลักที่ไม่มีอิทธิพลออก ทำให้ได้ปัจจัยหลักที่มีอิทธิพลอย่างมีนัยสำคัญจำนวน 3 ปัจจัย ได้แก่ 1.ระดับของชุดตะแกรงหัวปั่นผสม 2.ความเร็วรอบของชุดหัวปั่นผสม และ 3.อุณหภูมิเริ่มต้นของวัตถุดิบของเหลว พร้อมทั้งประยุกต์ใช้การออกแบบการทดลองพื้นผิวตอบสนอง (Response Surface Method) แบบบอกซ์-เบห์นเคน (ฺBox-Behnken) เพื่อหาค่าระดับของปัจจัยที่เหมาะสมของทั้ง 3 ปัจจัย โดยค่าความสูงของตะกอนไม่เกิน 10±1 มิลลิเมตร โดยมีค่าก่อนการปรับปรุงกระบวนการผลิตไซรัปสีน้ำตาล มีค่าเฉลี่ยความสูงของตะกอนเป็น 20.89±2.26 มิลลิเมตร และค่า Cpk ของเครื่องผสม HSVM นั้นมีค่าเป็น -3.93 ซึ่งมีค่าต่ำกว่าเกณฑ์มาตรฐาน จากการวิเคราะห์ผลการทดลองสรุปได้ว่าค่าระดับปัจจัยที่เหมาะสมในการตั้งเครื่องผสม HSVM มีดังนี้ ระดับของชุดตะแกรงหัวปั่นผสม อยู่ที่ระดับแบบต่ำ ความเร็วรอบของชุดหัวปั่นผสมอยู่ที่ 2000 รอบ/นาที และอุณหภูมิเริ่มต้นของวัตถุดิบของเหลวอยู่ที่ 72.5 องศาเซลเซียส ซึ่งได้ทำการยืนยันผลโดยการปรับตั้งค่าเครื่องทำการผลิตจริงพร้อมติดตามผล ผลหลังการปรับปรุงกระบวนการผลิตไซรัปสีน้ำตาล มีค่าเฉลี่ยความสูงของตะกอนเป็น 10.48±0.32 มิลลิเมตร และค่า Cpk ของเครื่องผสม HSVM นั้นมีค่าเป็น 2.56 ซึ่งอยู่ในเกณฑ์ดีเกินคาด และยังส่งผลให้ประสิทธิภาพของเครื่องผสมไซรัป HSVM นั้นผลิตไซรัปได้โดยไม่เกิดของเสียจากกระบวนการอีกเลย

Comparison Of Dashboard Development Between Waterfall Model And Agile Methodologies, Siribhop Yooyongchuen

Chulalongkorn University Theses and Dissertations (Chula ETD)

Agile Methodology is a concept that focus on communication between product developers and users. The objective is to make product be rapidly developed and effectively meets users’ needs. Objective of this study is to compare dashboard development method between agile methodology and waterfall model. There are 3 dimensions in comparison; speed of development, users’ satisfaction, and efficiency of dashboard. The study used descriptive and experimental research. The sample is dashboard users in Company L. The study is conducted by establishing timeline of dashboard development, semi-constructed interview, and survey applying Technology Acceptance Model and Theory of Planned Behavior. The result of …

Identifying Scotomata In Hazard Identification Caused By Ignorance And Overconfidence, Allen Johanson

Masters Theses

The manufacturing and construction industries are two of the most dangerous professions, and employees are frequently exposed to hazards and hazardous conditions which can lead to serious injury or even death. An observed phenomenon, frequently called the Dunning-Kruger Effect states that unskilled people are often unaware of their shortcomings and those with the higher-level skills often underestimate their abilities. This study examines employees’ training, years of experience, and performance to gauge any correlations among these variables in the area of hazard awareness. The goal of this study is to help individuals to recognize blind spots in their knowledge to identify …