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2022

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Articles 721 - 742 of 742

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Efficient Removal Of Lead Ions From Aqueous Media Using Sustainable Sources On Marine Algae, Hannah Namkoong, Erik Biehler, Gon Namkoong, Tarek M. Abdel-Fattah Jan 2022

Efficient Removal Of Lead Ions From Aqueous Media Using Sustainable Sources On Marine Algae, Hannah Namkoong, Erik Biehler, Gon Namkoong, Tarek M. Abdel-Fattah

Electrical & Computer Engineering Faculty Publications

The goal of this project is to explore a new method to efficiently remove Pb(II) ions from water by processing Undaria pinnatifida into immobilized beads using sodium alginate and calcium chloride. The resulting biosorbent was characterized by Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDS). Using immobilized U. pinnatifida, we investigated the effect of various factors on Pb(II) ion removal efficiency such as temperature, pH, ionic strength, time, and underlying biosorption mechanisms. For Pb(II) ion biosorption studies, Pb(II) ion biosorption data were obtained and analyzed using Langmuir and Freundlich adsorption models. It …

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A Formal Power Series Approach To Multiplicative Dynamic And Static Output Feedback, Venkatesh Subbarao Guggilam Jan 2022

A Formal Power Series Approach To Multiplicative Dynamic And Static Output Feedback, Venkatesh Subbarao Guggilam

Electrical & Computer Engineering Faculty Publications

The goal of the paper is two-fold. The first of which is to derive an explicit formula to compute the generating series of a closed-loop system when a plant, given in a Chen-Fliess series description is in multiplicative output feedback connection with another system given in Chen-Fliess series description. In addition, the multiplicative dynamic output feedback connection has a natural interpretation as a transformation group acting on the plant. The second of the two-part goal of this paper is same as the first part albeit when the Chen-Fliess series in the feedback is replaced by a memoryless map, so called …

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Grinding And Super-Finishing Test Machine Project, Michael Simon Jan 2022

Grinding And Super-Finishing Test Machine Project, Michael Simon

Williams Honors College, Honors Research Projects

A research project in The University of Akron to study grinding and super-finishing of silicon nitride ceramic was initiated by Dr. Siamak Farhad and sponsored by the Timken Company, with the assistance of undergraduate students Michael Simon, Ryan Hosso and Mathew Rozmajzl. The study required analysis of forces and scratches generated during grinding processes of silicon nitride samples. A testing assembly was designed and constructed to record the forces generated during grinding and super-finishing of silicon nitride samples in a computer-numerical-control machine. Silicon nitride samples were subjected to desired grinding and super-finishing operations and all forces generated during the process …

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Human Ergonomic Simulation To Support The Design Of An Exoskeleton For Lashing/De-Lashing Operations Of Containers Cargo, Francesco Longo, Antonio Padovano, Vittorio Solina, Virginia D' Augusta, Stefan Venzl, Roberto Calbi, Michele Bartuni, Ornella Anastasi, Rafael Diaz Jan 2022

Human Ergonomic Simulation To Support The Design Of An Exoskeleton For Lashing/De-Lashing Operations Of Containers Cargo, Francesco Longo, Antonio Padovano, Vittorio Solina, Virginia D' Augusta, Stefan Venzl, Roberto Calbi, Michele Bartuni, Ornella Anastasi, Rafael Diaz

VMASC Publications

Lashing and de-lashing operations of containers cargo on board containerships are considered as quite strenuous activities in which operators are required to work continuously over a 6 or 8 hours shift with very limited break. This is mostly because containerships need to leave the port as soon as possible and containers loading and unloading operations must be executed with very high productivity (stay moored in a port is a totally unproductive time for a ship and a loss-making business for a shipping company). Operators performing lashing and de-lashing operations are subjected to intense ergonomic stress and uncomfortable working postures. To …

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Combining Green Metrics And Digital Twins For Sustainability Planning And Governance Of Smart Buildings And Cities, Casey R. Corrado, Suzanne M. Delong, Emily G. Holt, Edward Y. Hua, Andreas Tolk Jan 2022

Combining Green Metrics And Digital Twins For Sustainability Planning And Governance Of Smart Buildings And Cities, Casey R. Corrado, Suzanne M. Delong, Emily G. Holt, Edward Y. Hua, Andreas Tolk

VMASC Publications

Creating a more sustainable world will require a coordinated effort to address the rise of social, economic, and environmental concerns resulting from the continuous growth of cities. Supporting planners with tools to address them is pivotal, and sustainability is one of the main objectives. Modeling and simulation augmenting digital twins can play an important role to implement these tools. Although various green best practices have been utilized over time and there are related attempts at measuring green success, works in the published literature tend to focus on addressing a single problem (e.g., energy efficiency), and a comprehensive approach that takes …

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The Two-Echelon Vehicle Routing Problem With Transshipment Nodes And Occasional Drivers: Formulation And Adaptive Large Neighborhood Search Heuristic, Vincent F. Yu, Minh P. K. Nguyen, Kuza Putra, Aldy Gunawan, I. Gusti Bagus Budi Dharma Jan 2022

The Two-Echelon Vehicle Routing Problem With Transshipment Nodes And Occasional Drivers: Formulation And Adaptive Large Neighborhood Search Heuristic, Vincent F. Yu, Minh P. K. Nguyen, Kuza Putra, Aldy Gunawan, I. Gusti Bagus Budi Dharma

Research Collection School Of Computing and Information Systems

This research introduces a new variant of the two-echelon vehicle routing problem (2EVRP) called the two-echelon vehicle routing problem with transshipment nodes and occasional drivers (2EVRP-TN-OD). In addition to city freighters in the second-echelon network, a set of occasional drivers (ODs) is available to serve customers. ODs are the basis of a crowd-shipping system in which crowds with planned trips are willing to take detours to deliver packages in exchange for some compensation. To serve customers, ODs collect the assigned packages at either satellite served by first-echelon trucks or transshipment nodes served by city freighters. We formulate this problem as …

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Examining Cognitive Empathy Elements Within Ai Chatbots For Healthcare Systems, Lamia Alam Jan 2022

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 …

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Advances And Applications In High-Dimensional Heuristic Optimization, Samuel Alexander Vanfossan Jan 2022

Advances And Applications In High-Dimensional Heuristic Optimization, Samuel Alexander Vanfossan

Doctoral Dissertations

“Applicable to most real-world decision scenarios, multiobjective optimization is an area of multicriteria decision-making that seeks to simultaneously optimize two or more conflicting objectives. In contrast to single-objective scenarios, nontrivial multiobjective optimization problems are characterized by a set of Pareto optimal solutions wherein no solution unanimously optimizes all objectives. Evolutionary algorithms have emerged as a standard approach to determine a set of these Pareto optimal solutions, from which a decision-maker can select a vetted alternative. While easy to implement and having demonstrated great efficacy, these evolutionary approaches have been criticized for their runtime complexity when dealing with many alternatives or …

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Green Supplier Evaluation And Selection For A Furniture Sales Company, Jiahao Li Jan 2022

Green Supplier Evaluation And Selection For A Furniture Sales Company, Jiahao Li

Chulalongkorn University Theses and Dissertations (Chula ETD)

This paper proposes a supplier evaluation method for a furniture sales company in China that focuses on the evaluation process and sustainability of business operation. Firstly, we have arranged a meeting with experts from various fields to gather information concerning evaluation problems and choices of evaluation indicators. We then go through the literature in the field of supplier evaluations to create a new green supplier evaluation indicator system comprising of 5 first-level and 19 second-level evaluation indicators. Once selected, the Fuzzy-entropy-TOPSIS approach has been adopted for the evaluation of 13 suppliers via MATLAB. We find that, among these suppliers, S1 …

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Critical Success Factors For Data Warehouse Implementation In An Industrial Associations Organization, Phatnarin Khantayana Jan 2022

Critical Success Factors For Data Warehouse Implementation In An Industrial Associations Organization, Phatnarin Khantayana

Chulalongkorn University Theses and Dissertations (Chula ETD)

The purpose of this research is to delve into the key success factors (CSFs) associated with data warehouse (DW) implementation from the perspectives of various stakeholders within an organization. A data warehouse provides a unified and structured view of an organization's data for analysis and reporting, and successfully implementing such a system can have a significant impact on overall organizational performance. It enables better data management, facilitates improved decision-making, and enhances strategic planning. The scope of this research encompasses an in-depth examination of the core CSFs that are instrumental in achieving success during data warehouse deployments. It focuses on understanding …

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Demand Forecasting And Inventory Management For An Automotive Tire Distributor In Northeast Thailand, Vasinee Chantaraponpun Jan 2022

Demand Forecasting And Inventory Management For An Automotive Tire Distributor In Northeast Thailand, Vasinee Chantaraponpun

Chulalongkorn University Theses and Dissertations (Chula ETD)

The objective of this research is to improve the inventory management for an automotive tire distributor company in Northeast Thailand to mainly reduce the excessive unnecessary stock. According to the initial investigations, the main causes of overstock are unstable customer demands and a lack of an inventory control system based on theory. In order to better address the issues and scope down the research area, three suitable products and sub-dealers with different demand patterns are selected to find the best-fit forecasting model for each of them and be customized the inventory policy based on the demand patterns. The methodology is …

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Optimizing Energy Efficiency Projects In Bangkok Large Commercial Buildings, Angelica Arisa Morgan Jan 2022

Optimizing Energy Efficiency Projects In Bangkok Large Commercial Buildings, Angelica Arisa Morgan

Chulalongkorn University Theses and Dissertations (Chula ETD)

As a significant contributor to greenhouse gas emissions in the Asia Pacific region, Thailand has pledged to lower its GHG emissions by 555 million tCO2e by the year 2030. In Bangkok, energy efficiency projects in the large commercial buildings sector are an integral method by which to reduce emissions and to support a lower carbon future. Besides carbon dioxide emissions, energy efficiency projects also have the potential for other benefits including electricity and cost savings. This study develops a methodology to quantify the emissions reduction, electricity savings, and cost savings potential of various energy efficiency methods in this sector, and …

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Multi-Objective Vehicle Loading And Routing Problem For Fresh Fruit And Vegetable Transportation, Supisara Krairiksh Jan 2022

Multi-Objective Vehicle Loading And Routing Problem For Fresh Fruit And Vegetable Transportation, Supisara Krairiksh

Chulalongkorn University Theses and Dissertations (Chula ETD)

Multi-compartment refrigerated vehicles are recently utilized in the cold chain industry, due largely to their flexibility in storage capacities with different temperature settings. To better comprehend the costs and benefits of this vehicle type in fresh fruits and vegetable transportation, a multi-compartment vehicle routing and loading problem (MCVRLP) with three different objectives – namely (i) minimizing total transportation cost, (ii) minimizing CO2 emissions, and (iii) minimizing weight loss of fresh fruits and vegetable – is herein explored and solved by mathematical formulation and genetic-based evolutionary algorithm approaches. Based on our computational results, we find that large and complicated MCVRLP instances …

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Bitcoin Candlestick Price Prediction With Recurrent Neural Network, Sutiwat Simtharakao Jan 2022

Bitcoin Candlestick Price Prediction With Recurrent Neural Network, Sutiwat Simtharakao

Chulalongkorn University Theses and Dissertations (Chula ETD)

Bitcoin is a high-risk asset with a potentially high return. Predicting Bitcoin candlestick, i.e., open, high, low, and close (OHLC) prices, can help investors make trading decisions. The objective of this study is to develop a neural network model to predict the candlestick prices of Bitcoin for the next period. Additionally, this study investigates methods to enhance the model's forecasting performance by feature transformations, specifically data normalization. This study employs two neural network algorithms, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), to forecast daily Bitcoin OHLC prices. To enhance the model's performance, we compare sliding window normalization with …

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การประยุกต์ใช้โดโลไมต์จากดินตะกอนเหมืองหินปูนสำหรับการผลิตปุ๋ยอินทรีย์อัดเม็ด, กรบงกช วรนาถสุรงค์ Jan 2022

การประยุกต์ใช้โดโลไมต์จากดินตะกอนเหมืองหินปูนสำหรับการผลิตปุ๋ยอินทรีย์อัดเม็ด, กรบงกช วรนาถสุรงค์

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้มีวัตถุประสงค์เพื่อประยุกต์ใช้โดโลไมต์จากดินตะกอนเหมืองหินมาเป็นสารตัวเติมผสมกับมูลไก่สำหรับการผลิตปุ๋ยอินทรีย์อัดเม็ด โดยหาสัดส่วนที่ให้คุณภาพตามเกณฑ์มาตรฐานปุ๋ยอินทรีย์กรมวิชาการเกษตร เพื่อเพิ่มมูลค่าให้ดินตะกอนเหมืองหิน และสามารถลดต้นทุนการผลิตปุ๋ยอินทรีย์อัดเม็ดได้ โดยงานวิจัยนี้ ใช้ดินตะกอนเหมืองหินกรณีศึกษาในจังหวัดชุมพรที่มีคุณสมบัติเทียบเท่าโดโลไมต์ นำมาผสมมูลไก่สำหรับการผลิตปุ๋ยอินทรีย์อัดเม็ดทั้งหมด 7 สัดส่วน ได้แก่ 0:100 (T0), 10:90 (T1), 20:80 (T2), 30:70 (T3), 40:60 (T4), 50:50 (T5) และ 60:40 (T6) และวางแผนการปลูกทดลองแบบสุ่มอย่างสมบูรณ์ (Completely Randomized Design: CRD) กับผักสลัด 2 ชนิด คือ กรีนโอ๊ค และกรีนคอส โดยใช้ดินของจังหวัดปทุมธานี เพื่อทำการเปรียบเทียบกับสัดส่วนที่ควบคุม (T0) จำนวน 3 ซ้ำ ผลการศึกษาพบว่า สัดส่วนที่ T0 – T4 มีคุณสมบัติทางเคมีทั้งหมดผ่านเกณฑ์มาตรฐานปุ๋ยอินทรีย์กรมวิชาการเกษตร คุณสมบัติทางเคมีและทางกายภาพของดินหลังปลูกดีขึ้นโดยเฉพาะสัดส่วนที่ T3 และ T4 สัดส่วนโดโลไมต์ที่มากขึ้นส่งผลให้ดินมีความโปร่งพรุนมากขึ้น ผลการเจริญเติบโตและผลผลิตในสัดส่วนที่ T0 – T4 นั้นไม่มีความแตกต่างกันอย่างมีนัยสำคัญทางสถิติทั้งกรีนโอ๊คและกรีนคอส แต่สัดส่วนที่ T4 ให้ผลผลิตน้อยสุด เพราะสัดส่วนของมูลไก่ที่เป็นแหล่งธาตุอาหารพืชหลักของผักสลัดน้อยลง ดังนั้นสัดส่วนโดโลไมต์จากดินตะกอนเหมืองหินกรณีศึกษาแห่งนี้ที่ใช้เป็นสารตัวเติมผสมกับมูลไก่สำหรับการผลิตปุ๋ยอินทรีย์อัดเม็ด ที่ดีที่สุด คือ สัดส่วนของโดโลไมต์ต่อมูลไก่ที่ 30 : 70 (T3) ซึ่งสามารถลดต้นทุนการผลิตปุ๋ยอินทรีย์อัดเม็ดได้ถึง 24.41%

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Implementation Of Good Distribution Practice In A Pharmaceutical Manufacturer, Pana Chinajitphan Jan 2022

Implementation Of Good Distribution Practice In A Pharmaceutical Manufacturer, Pana Chinajitphan

Chulalongkorn University Theses and Dissertations (Chula ETD)

Good Distribution Practice (GDP) has recently been adopted and practised by Thailand's pharmaceutical industry, which has complemented the supply chain perspective and radically changed the quality landscape of the industry. This study presents a case of a pharmaceutical manufacturer in Thailand that implemented GDP to ensure the quality of its products during storage and distribution processes, as well as to prevent the entry of falsified products into the Pharmaceutical Supply Chain (PSC). The GDP implementation combined Project Management and Quality Risk Management (QRM) to identify operational gaps, manage identified risks, and reduce GDP gaps. After analysing internal stakeholders, related teams …

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แนวทางการตัดสินใจการนำหุ่นยนต์มาใช้ทดแทนหรือปฏิบัติร่วมกับพนักงานในการทำงาน, ชนาธิป ทองดอนน้อย Jan 2022

แนวทางการตัดสินใจการนำหุ่นยนต์มาใช้ทดแทนหรือปฏิบัติร่วมกับพนักงานในการทำงาน, ชนาธิป ทองดอนน้อย

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้ให้ความสำคัญเกี่ยวกับกรอบการตัดสินใจสำหรับการนำหุ่นยนต์ร่วมปฏิบัติการหรือโคบอท เข้ามาใช้แทนที่แรงงานมนุษย์และ/หรือเพื่อทำงานร่วมกับคนงาน ในกรณีศึกษาของบริษัทที่ผลิตเลนส์แว่นตาผู้บริหารระดับสูงต้องการนำหุ่นยนต์ร่วมปฏิบัติการเข้ามาใช้ในกระบวนการคัดแยกชิ้นงาน เนื่องจากกระบวนการนี้เป็นกระบวนการทำงานแบบซ้ำ ๆ ซึ่งส่งผลกระทบให้พนักงานเกิดความเมื่อยล้าและความเจ็บป่วยทางการยศาตร์ ในการตัดสินใจสำหรับการนำหุ่นยนต์ร่วมปฏิบัติการทางโรงงานกรณีศึกษาได้ทำการพิจารณาเพียงด้านการเงินโดยไม่คำนึงถึงปัจจัยสำคัญอื่นๆ ดังนั้นบทความนี้จึงมุ่งเน้นสำรวจปัจจัยที่มีบทบาทสำคัญในการตัดสินใจใช้หุ่นยนต์ร่วมปฏิบัติการในสายการผลิต โดยการวิเคราะห์ปัจจัยเชิงสำรวจ (EFA) และการวิเคราะห์ปัจจัยเชิงยืนยัน (CFA) ซึ่งเป็นขั้นตอนทางสถิติหลายตัวแปร ถูกนำมาใช้ในการวิเคราะห์ปัจจัยที่เกี่ยวข้องกับตัวแปรแฝง นอกจากนี้ได้ทำการจำลองสถานการณ์ด้วยโปรแกรม ARENA เพื่อตรวจสอบประโยชน์ของการนำโคบอทไปใช้ในกรณีศึกษาอีกด้วย

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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 Jan 2022

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 …

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Agile Research - Getting Beyond The Buzzword, Trupti Narayan Rane Jan 2022

Agile Research - Getting Beyond The Buzzword, Trupti Narayan Rane

Engineering Management & Systems Engineering Faculty Publications

"Oh yeah, we're an Agile shop, we gave up Waterfall years ago." - product owners, managers, or could be anyone else. You will seldom have a conversation with a product or software development team member without the agile buzzword thrown at you at the drop of a hat. It would not be an oversell to say that Agile software development has been adopted at a large scale across several big and small organizations. Clearly, Agile is an ideology that is working, which made me explore more on its applicability in research. As someone who has been in the Information Technology …

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Humans And The Core Partition: An Agent-Based Modeling Experiment, Andrew J. Collins, Sheida Etemadidavan Jan 2022

Humans And The Core Partition: An Agent-Based Modeling Experiment, Andrew J. Collins, Sheida Etemadidavan

Engineering Management & Systems Engineering Faculty Publications

Although strategic coalition formation is traditionally modeled using cooperative game theory, behavioral game theorists have repeatedly shown that outcomes predicted by game theory are different from those generated by actual human behavior. To further explore these differences, in a cooperative game theory context, we experiment to compare the outcomes resulting from human participants’ behavior to those generated by a cooperative game theory solution mechanism called the core partition. Our experiment uses an interactive simulation of a glove game, a particular type of cooperative game, to collect the participant’s decision choices and their resultant outcomes. Two different glove games are considered, …

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Adapting The Human Factors Analysis And Classification System For Commercial Fishing Vessel Accidents, Peter Zohorsky, Holly Handley, Ronald Boring (Ed.) Jan 2022

Adapting The Human Factors Analysis And Classification System For Commercial Fishing Vessel Accidents, Peter Zohorsky, Holly Handley, Ronald Boring (Ed.)

Engineering Management & Systems Engineering Faculty Publications

The commercial fishing industry is frequently described as one of the most hazardous occupations in the United States. The objective, to maximize the catch, is routinely challenged by a variety of elements due to the environment, the vessel, the crew, and how they interact with each other. This study developed and evaluated a version of Wiegmann and Shappell’s (2003) Human Factors Analysis and Classification System (HFACS), specifically for commercial fishing industry vessels (HFACS-FV), using data from ten years of fatal fishing vessel accidents. For this study, the accident investigation information was converted into the HFACS-FV format by independent raters and …

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Performance Degradation Based On Importance Change And Application In Dissimilar Redundancy Actuation System, Yadong Zhang, Chao Zhang, Shaoping Wang, Rentong Chen, Mileta M. Tomovic Jan 2022

Performance Degradation Based On Importance Change And Application In Dissimilar Redundancy Actuation System, Yadong Zhang, Chao Zhang, Shaoping Wang, Rentong Chen, Mileta M. Tomovic

Engineering Technology Faculty Publications

The importance measure is a crucial method to identify and evaluate the system weak link. It is widely used in the optimization design and maintenance decision of aviation, aerospace, nuclear energy and other systems. The dissimilar redundancy actuation system (DRAS) is a key aircraft control subsystem which performs aircraft attitude and flight trajectory control. Its performance and reliability directly affect the aircraft flight quality and flight safety. This paper considers the influence of the Birnbaum importance measure (BIM) and integrated importance measure (IIM) on the reliability changes of key components in DRAS. The differences of physical fault characteristics of different …

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