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AHP Decision-Making Approach for Solar Photovoltaic (PV) Modules End-Of-Life (EOL) Disposition Strategies 1

AHP Decision-Making Approach for Solar Photovoltaic (PV) Mod...

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1st Middle East and North Africa Solar Conference, MENA-SC 2023

作者： Alzahmi, Wadhah Ndiaye, Malick American University of Sharjah Sharjah Sharjah26666 United Arab Emirates American University of Sharjah Engineering Systems Management Program Department of Industrial Engineering United Arab Emirates

ISBN: (纸本)9781665491464

Increasing energy demands globally have accelerated the development of renewable technologies including solar photovoltaics (PV). However, this development has unavoidably led to the emergence of significant volumes PV waste considering 20-30 years life span before End of Life (EOL). The standard decision makers practices for PV EOL are disposal to the landfill, recycling, or reuse. Due to complexity of the decision environment, this study aims to analyze and rank solar PV disposition alternative using Analytic Hierarchy Process (AHP) based on five main criteria including environmental, economic, social, policy and legislation and technical. AHP Aggregating Individual Priorities (AIP) aggregation method was utilized to evaluate the overall perspective of all the study participant. In addition, individual stakeholder group decision was assessed individually to understand potential different EOL disposition perspective from different stakeholder group. The findings of the analysis shows that the overall ranking of the alternatives based on the main criteria is leaning toward recycling compared to other alternatives. However, there is a variation in the decision between individual stakeholder group. © 2023 IEEE.

关键词： Analytic hierarchy process

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"the Perceived Usability of COVID-19 Contact Tracing\"Thai Chana\"using System Usability Scale" 24

"the Perceived Usability of COVID-19 Contact Tracing\"Thai C...

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6th International Conference on management Science and Industrial engineering, MSIE 2024

作者： Prasetyo, Yogi Tri Liao, Jui-Hao Chuenyindee, Thanatorn Cahigas, Maela Madel L. Persada, Satria Fadil Nadlifatin, Reny Ayuwati, Irene Dyah International Bachelor Program in Engineering Yuan Ze University Chung-Li Taiwan Department of Industrial Engineering and Management Yuan Ze University Chung-Li Taiwan Department of Industrial Engineering and Aviation Management Navaminda Kasatriyadhiraj Royal Air Force Academy Bangkok Thailand School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia University of Surabaya Surabaya Indonesia

ISBN: (纸本)9798400717130

During the COVID-19 Pandemic, Thailand utilized Thai Chana contact tracing mobile application and the paper document. The purpose of this study was to explore the perceived usability of Thai Chana contact tracing by utilizing System Usability Scale (SUS). A total of 800 Thais voluntarily answered the SUS questionnaire. The results indicated that the average SUS score was 70.388. In addition, ANOVA indicated there was an effect of the age on the perceived usability and older generations had lower SUS scores. This study could provide a basic understanding of the perceived usability of COVID-19 contact tracing. © 2024 ACM.

关键词： Contact Tracing

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A Conjoint Analysis on the Preference of Pipe Welding Materials and Procedures

A Conjoint Analysis on the Preference of Pipe Welding Materi...

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2024 IEEE International Conference on Industrial engineering and engineering management, IEEM 2024

作者： Dela Cruz, Erick D. Prasetyo, Yogi Tri Ayuwati, Irene Dyah Cahigas, Maela Madel L. Nadlifatin, Reny School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines School of Graduate Studies Mapúa University Manila Philippines International Bachelor Program in Engineering Yuan Ze University Taoyuan Taiwan Department of Industrial Engineering and Management Yuan Ze University Taoyuan Taiwan University of Surabaya Surabaya Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9798350386097

Welding is both as art and science and its common use is the jointing of points. Some of the welding procedures used for jointing metal pipes are Tungsten Inert Gas and Gas Metal Arc welding and in common practice plastic pipes are bonded with the use of butt-fusion welding procedure. Since 1970’s conjoint analysis was used as a way of finding out what the preference of consumers. The objective of this study is to determine the combination welding attributes that were most preferred using a conjoint analysis approach. With conjoint analysis, together with, the orthogonal design the preference for welding materials and procedures were analyzed. It showed that pipe material with 29.24% was the most preferred attribute and Nondestructive test as the least preferred with 2.66%. The result of this study may be utilized in future related reviews and could be applicable in other related Mechanical systems requiring welding works. © 2024 IEEE.

关键词： Nondestructive examination

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Preliminary Plan for Data Collection on Stakeholder Information Interdependence in Area-Business Continuity management: A Case Study of Flood management in Thai Industrial Zones 23

Preliminary Plan for Data Collection on Stakeholder Informat...

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23rd International Symposium on Communications and Information Technologies, ISCIT 2024

作者： Arayachookiat, Penpitcha Saengtabtim, Kumpol Kodaka, Akira Leelawat, Natt Tang, Jing Watanabe, Kenji Risk and Disaster Management Program Graduate School Chulalongkorn University Bangkok Thailand Chulalongkorn University Faculty of Engineering Department of Industrial Engineering Bangkok Thailand Chulalongkorn University Disaster and Risk Management Information Systems Research Unit Bangkok Thailand Graduate School of System Design and Management Keio University Kanagawa Japan International School of Engineering Chulalongkorn University Faculty of Engineering Bangkok Thailand Graduate School of Social Engineering Nagoya Institute of Technology Nagoya Japan

ISBN: (纸本)9798350353952

The 2011 flood in Thailand exposed significant vulnerabilities in industrial areas, highlighting the necessity for enhanced disaster risk management through Area-Business Continuity management (Area-BCM). This preliminary study focuses on identifying how stakeholders rely on information from each other to improve disaster preparedness and response. The research involves systematically identifying Area-BCM stakeholders and designing interview questions, which are evaluated by experts using the Index of Item-Objective Congruence (IOC) to ensure relevance and clarity. All interview questions surpassed the IOC threshold of 0.5, confirming their effectiveness in capturing information interdependencies. Expert feedback led to refinements in the questions, underscoring the importance of tailored data collection. This initial plan provides a critical foundation for understanding information interdependence and highlights the importance of well-designed data collection methods. The findings have significant implications for developing more resilient disaster management strategies in industrial areas, emphasizing the need for precise and relevant stakeholder communication to enhance Area-BCM effectiveness. © 2024 IEEE.

关键词： Area-Business Continuity management Flood Index of Item-Objective Congruence Information Interdependence

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Determining Factors Affecting Customer Loyalty and Satisfaction in Online Food Delivery Service during the COVID‐19 Pandemic: A UTAUT2 Approach

Determining Factors Affecting Customer Loyalty and Satisfact...

引用

2024 IEEE International Conference on Industrial engineering and engineering management, IEEM 2024

作者： Susanto, Krisna Chandra Prasetyo, Yogi Tri Cahigas, Maela Madel L. Nadlifatin, Reny Persada, Satria Fadil Ayuwati, Irene Dyah Department of Industrial Engineering and Management Yuan Ze University Taoyuan Taiwan International Bachelor Program in Engineering Yuan Ze University Taoyuan Taiwan School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia Entrepreneurship Department Bina Nusantara University Jakarta Indonesia University of Surabaya Surabaya Indonesia

ISBN: (纸本)9798350386097

The Online food delivery services (OFDS) have been extensively utilized, especially in developing nations like Indonesia on new normal Covid-19 situation. The present research aimed to utilize the "Unified Theory of Acceptance and Use of Technology-2" (UTAUT2) in affecting the customer satisfaction and loyalty (CSL) in OFDS in Indonesia post-COVID-19 pandemic. The 253 data was taken to answer the 65 indicators. Structural equation modeling (SEM) indicates that hedonic motivation exerts the most significant influence on CSL, succeeded by price. This study unexpectedly found that usability factors, including performance expectation habit, did not influence customer happiness and CSL in OFDS. This research strongly provides a theoretical framework for OFDS practitioners, IT developers, and scholars. The present research can be modified and expanded to different nations to examine the determinants of customer CSL in OFDS. © 2024 IEEE.

关键词： Sales

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Enhancing Public Engagement in Sustainable systems through Augmented Reality 41

Enhancing Public Engagement in Sustainable Systems through A...

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41st International Symposium on Automation and Robotics in Construction, ISARC 2024

作者： Lee, Yu-Chen Alsuhaibani, Abdullah Cheng, Chih-Shen Leite, Fernanda Sustainable Systems Program Maseeh Dept. of Civil Architectural and Environmental Engineering The University of Texas at Austin AustinTX United States Civil Engineering and Project Management Program Maseeh Dept. of Civil Architectural and Environmental Engineering The University of Texas at Austin AustinTX United States Civil Engineering and Project Management Program Maseeh Dept. of Civil Architectural and Environmental Engineering The University of Texas at Austin AustinTX United States Dean for Research Cockrell School of Engineering Joe J. King Professor in the Maseeh Dept. of Civil Architectural and Environmental Engineering The University of Texas at Austin AustinTX United States

ISBN: (纸本)9780645832211

The sustainability of building infrastructure has been a growing critical global concern. However, stakeholders often overlook the sustainability aspect of systems in their everyday lives. This paper presents an exploration of the potential of augmented reality (AR) technology as a tool for enhancing public engagement around sustainable systems in buildings. We introduce an innovative approach to address the challenge of gap between sustainable infrastructure and user awareness. Through data collection such as access counts, usage duration, and user feedback, we can evaluate the effectiveness of AR applications in improving awareness and engagement in sustainability. This study illustrates how AR technology can facilitate a deeper connection between the public and sustainable systems, thus paving the way for a more environmentally friendly society. © 2024 ISARC. All Rights Reserved.

关键词： Sustainable development

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Agent-Based Modeling for Forest Fire Simulation in Chiang Mai, Thailand 23

Agent-Based Modeling for Forest Fire Simulation in Chiang Ma...

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23rd International Symposium on Communications and Information Technologies, ISCIT 2024

作者： Tappanom, Teerapat Leelawat, Natt Saengtabtim, Kumpol Tang, Jing Risk and Disaster Management Program Graduate School Chulalongkorn University Bangkok Thailand Chulalongkorn University Faculty of Engineering Department of Industrial Engineering Bangkok Thailand Graduate School of System Design and Management Keio University Yokohama Japan Disaster and Risk Management Information Systems Research Unit Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9798350353952

Forest fires have a significant impact on ecosystems and human life, especially in northern Thailand, where Chiang Mai is severely affected. Traditional methods for detecting forest fires have limitations, so there is a need for advanced simulation models. This research uses Agent-Based Modeling (ABM) to develop a forest fire simulation for Chiang Mai. The methodology involves collecting historical data, performing Multiple Regression Analysis, designing the simulation, and testing it. Data from 1998 to 2021, including temperature, relative humidity, wind speed/direction, burn area, and slope, were collected from various sources. Multiple regression analysis identified wind speed as the most significant factor affecting burn area. The forest fire simulation, designed using ZF Wang's spread model and tested with AnyLogic, showed that wind direction and speed are crucial in fire spread. The simulation accurately predicted high-risk areas, helping in proactive planning and response. This study confirms that wind is a critical factor in forest fire spread, providing a valuable tool for fire districts to improve preparedness and management. Future research should focus on refining the model with localized data and integrating real-time detection to improve its accuracy and applicability. © 2024 IEEE.

关键词： Forest ecology

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Stunting Classification in Toddlers: Implementation and Evaluation of the Decision Tree Algorithm

Stunting Classification in Toddlers: Implementation and Eval...

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2024 International Conference on Information Technology and Computing, ICITCOM 2024

作者： Alita, Debby Ahmad, Imam Jafar Rumandan, Rhaishudin Erkamim, Moh Widyasmoro Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandarlampung Indonesia Institut Agama Islam Negeri Ambon Islamic Education Management Study Program Ambon Indonesia Universitas Tunas Pembangunan Smart City Information Systems Study Program Surakarta Indonesia Universitas Muhammadiyah Yogyakarta Faculty of Engineering Department of Electrical Engineering Yogyakarta Indonesia

ISBN: (纸本)9798350379839

Stunting in toddlers is a chronic nutritional issue that affects the physical and cognitive development of children, with serious long-term consequences such as reduced cognitive function and an increased risk of chronic diseases in adulthood. Therefore, early identification and prevention efforts for stunting are crucial. Classifying toddlers into categories of at-risk for stunting or not is essential to provide timely and appropriate interventions. This study employs data mining techniques using the decision tree algorithm to expedite the stunting detection process and improve the accuracy of nutritional status classification in children. The results indicate that the constructed decision tree model can classify children's nutritional status with an accuracy of 83.26%. The decision tree achieves high accuracy in classifying stunting in toddlers due to its ability to handle complex data and identify significant patterns within the data. © 2024 IEEE.

关键词： Classification Data Mining Decision Tree Stunting

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Design and Analysis of a Vertical Electric Ducted Fan for Unmanned Aerial Vehicles 7

Design and Analysis of a Vertical Electric Ducted Fan for Un...

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2023 7th International Conference on Mechanical, Aeronautical and Automotive engineering, ICMAA 2023

作者： Shiau, Y.R. Fang, J. Huang, Y.C. Department of Industrial Engineering and Systems Management Feng Chia University Taichung407 Taiwan Department of Aerospace and Systems Engineering Feng Chia University Taichung407 Taiwan Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University Taichung407 Taiwan

Several types of multirotor unmanned aerial vehicles (UAVs) are widely used in various industrial activities. UAVs with electric ducted fans (EDFs) have been developed to mitigate the risks associated with rotary blades, which are installed on the exterior structure of conventional UAVs and exposed to the ambient environment. Particularly, vertical EDFs have become a focus in the field of UAV design because they require less space for the flow channel compared with horizontal EDFs. In this study, a vertical EDF UAV model was developed. Structural and flow field analysis was performed in Ansys software to determine the optimal design configuration. The results confirmed that the designed model facilitated smooth air flow with favorable inlet and outlet velocity. The vehicle structure required minor adjustment to reduce the frequency of occurrence of vortices. Overall, this study made two research contributions. First, an EDF UAV model was developed to mitigate the risk of rotary blades being exposed to the ambient environment. Second, a vertical EDF system was proposed to reduce the flow channel space and maintain the outlet velocity, thereby improving the takeoff, landing, and thrust performance of UAVs. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Channel flow

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Predicting Factors Influencing the Actual Use of E-learning Platform Among Medical Students in the Philippines

Predicting Factors Influencing the Actual Use of E-learning ...

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2024 IEEE International Conference on Industrial engineering and engineering management, IEEM 2024

作者： Benito, Omar Paolo Prasetyo, Yogi Tri Roque, Ralph Andre C. Flores, Fernan Patrick Cahigas, Maela Madel L. Nadlifatin, Reny Ayuwati, Irene Dyah International Bachelor Program in Engineering Yuan Ze University Taoyuan Taiwan Department of Industrial Engineering and Management Yuan Ze University Taoyuan Taiwan School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines School of Graduate Studies Mapúa University Manila Philippines Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia Rectorate University of Surabaya Surabaya Indonesia

ISBN: (纸本)9798350386097

This study aimed to examine the factors influencing the acceptance of eLearning platforms in medical education during the COVID-19 pandemic in the Philippines, using the latent variables from the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and two additional variables derived from relevant literature. A total of 360 medical students participated by completing an online survey comprising 40 questions. The analysis, conducted using stepwise multiple linear regression, revealed that Performance Expectancy (PE), Habit (HB), and Instructor Characteristics (IC) were significant predictors of Actual Use (AU) with an accuracy of 54.22%. Higher levels of PE, HB, and IC were found to positively influence the acceptance and utilization of medical eLearning platforms. The findings from this study can provide valuable insights for the Commission on Higher Education in the Philippines, aiding in the enhancement of eLearning platforms for medical education. Although this research primarily focused on UTAUT2 and two additional variables-Learning Value and Instructor Characteristics-the results offer substantial implications for the broader development of eLearning platforms in the medical field. © 2024 IEEE.

关键词： Multiple linear regression

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