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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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Enablers and barriers of communication in virtual engineering teams: the role of teamwork skills and emergent conflict

Enablers and barriers of communication in virtual engineerin...

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IISE Annual Conference and Expo 2023

作者： Pazos, Pilar Cima, Francisco Department of Engineering Management and Systems Engineering Old Dominion University NorfolkVA United States

ISBN: (纸本)9781713877851

Communication is a critical process that facilitates team members’ coordination, expertise exchange, decision-making, and, consequently, team effectiveness. A focus on effective communication is critical in virtual teams due to their lack of face-to-face interactions and social presence. Communication becomes challenging in remote settings, and specific skills emerge as more essential to success. It is known that effective teams rely on planning, execution, and interpersonal skills to be successful. Still, the specific impact of these skills on virtual team effectiveness is not well understood. Additionally, conflict can emerge as a significant barrier to collaboration for remote teams that can hinder their communication. This paper examines the role of teamwork skills and emergent conflict as predictors of the frequency of communication in virtual engineering project teams. Previously validated measures were used to assess teamwork skills and emergent conflict in a sample of virtual teams. The sample included 101 graduate engineering students working in 32 fully virtual project teams of size 3-4 to complete a semester project on systems analysis and design. Results indicate that skills associated with mission analysis and strategy formulation were the strongest predictors of the frequency of communication, while relationship conflict was associated with low levels of communication. These findings are relevant to organizations that rely on virtual team-based structures by identifying critical levers and barriers to team communication. These findings can be used to identify targets for virtual team training, including a focus on strategic planning and mission analysis, as well as conflict management strategies to prevent and resolve relationship conflict in virtual settings. © IISE and Expo *** rights reserved.

关键词： Decision making

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A Conjoint-based Approach on Determining the Factors Affecting on Preference of Subscribing a Netflix Plan

A Conjoint-based Approach on Determining the Factors Affecti...

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

作者： Park, Ji Yong Prasetyo, Yogi Tri Cahigas, Maela Madel L. Nadlifatin, Reny School of Industrial Engineering and Engineering Management 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 Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9798350386097

This study uses a conjoint analysis approach to determine the key factors influencing subscriber preferences for subscribing to Netflix plan. In a rapidly evolving industry, understanding the drivers of subscription choices is critical for market success. Through a designed survey, respondents are presented with different hypothetical Netflix subscription plans characterized by attributes such as price, resolution, same time watch device, downloadable device and device specs. By analyzing respondents' answers from these attributes, researchers aim to find out the relatedness of each attribute and levels with the subscription preference. The study's findings can help Netflix make more strategic decisions about plan options and pricing policies, so that it can better serve the wide range of demands and tastes of customers in the cutthroat streaming market. © 2024 IEEE.

关键词： Conjoint analysis Netflix streaming market subscription plan

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Platform Operations in the Industry 4.0 Era: Recent Advances and the 3As Framework

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IEEE Transactions on engineering management 2024年 71卷 1145-1162页

作者： Siqin, Tana Choi, Tsan-Ming Chung, Sai-Ho Wen, Xin Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Kowloon Hong Kong National Taiwan University Department and Graduate Institute of Business Administration Taipei10617 Taiwan

In the Industry 4.0 era, implementing advanced technologies to enhance platform operations is crucial. Motivated by the importance of platforms and the wide implementation of Industry 4.0-related advanced technologies, we conduct this study on platform operations. Specifically, the platforms discussed herein are classified into (pure) product selling platforms and service platforms. We identify the platform-related operational issues in four categories: 1) the use of information, 2) operating/manufacturing processes, 3) decision support, and 4) consumer behavior and marketing. Based on the examined real-world practices and reviewed prior studies, we propose the novel '3As' framework to indicate how platforms should 'adopt' advanced technologies to 'address' operational issues to 'achieve' outcomes. In addition, the '3As' framework uncovers possible platform innovations with three extended developments. Finally, we present a future agenda for further studies on the use of advanced technologies in platform operations. This article contributes to the operations and engineering management literature by generating insights regarding the implementation of advanced technologies in platform operations in the Industry 4.0 era. © 1988-2012 IEEE.

关键词： Industry 4.0

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Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 231-239页

作者： Yahui Liu Bin Tian Yisheng Lv Lingxi Li Fei-Yue Wang the State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100190 IEEE the Transportation and Autonomous Systems Institute(TASI)and the Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University Indianapolis(IUPUI)Indianapolis 46202 USA

Recently, there have been some attempts of Transformer in 3D point cloud classification. In order to reduce computations, most existing methods focus on local spatial attention,but ignore their content and fail to establish relationships between distant but relevant points. To overcome the limitation of local spatial attention, we propose a point content-based Transformer architecture, called PointConT for short. It exploits the locality of points in the feature space(content-based), which clusters the sampled points with similar features into the same class and computes the self-attention within each class, thus enabling an effective trade-off between capturing long-range dependencies and computational complexity. We further introduce an inception feature aggregator for point cloud classification, which uses parallel structures to aggregate high-frequency and low-frequency information in each branch separately. Extensive experiments show that our PointConT model achieves a remarkable performance on point cloud shape classification. Especially, our method exhibits 90.3% Top-1 accuracy on the hardest setting of ScanObjectN N. Source code of this paper is available at https://***/yahuiliu99/PointC onT.

关键词： Content-based Transformer deep learning feature aggregator local attention point cloud classification

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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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Generative Design for Prefabricated Structures using BIM and IoT applications – Approaches and Requirements 40

Generative Design for Prefabricated Structures using BIM and...

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40th International Symposium on Automation and Robotics in Construction, ISARC 2023

作者： Rangasamy, Veerakumar Yang, Jyh-Bin Graduate Institute Program of Construction Engineering and Management Department of Civil Engineering National Central University Taiwan

ISBN: (纸本)9780645832204

Building Information Modeling (BIM) has demonstrated a wide range of merits over traditional and modern constructions. The integration of generative design (GD) with BIM in the construction industry has become an interesting topic, even though the concept is not very new. Prefabricated construction (PC) offers several advantages over traditional construction and has recently advanced to a new level of study because of the usage of BIM. The synchronization of BIM with PC is becoming simpler to create automatic design solutions in its early phases, thanks to the current breakthroughs in the internet of things (IoT) and its applications. There has been an increase in research interests that are mostly focused on examining tools and applications. However, there are not many studies that have looked at methodological relationships and other factors, which has led researchers to focus more on GD-BIM-based investigations. This study provides a preliminary critical analysis of the software, skill, and methodological requirements for current GD-BIM integration methodologies. The publications are pulled from web of science platform and thoroughly examined in statistical and systematic methods to give a fresh viewpoint on objective-oriented and skill-driven GD-BIM development for PC. New guidance to improve skill learning for GD-BIM development is recommended in this study. The analysis and recommendations might aid the researchers and designers in comprehending the situation and paying attention to future requirements. © ISARC 2023. All rights reserved.

关键词： Internet of things

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Technical Note—Conic Mixed-Binary Sets: Convex Hull Characterizations and Applications

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Operations Research 2025年第1期73卷 251-269页

作者： Kılınç-Karzan, Fatma Küçükyavuz, Simge Lee, Dabeen Shafieezadeh-Abadeh, Soroosh Tepper School of Business Carnegie Mellon University PittsburghPA15213 United States Department of Industrial Engineering and Management Sciences Northwestern University EvanstonIL60208 United States Department of Industrial and Systems Engineering KAIST Daejeon34141 Korea Republic of

We consider a general conic mixed-binary set where each homogeneous conic constraint j involves an affine function of independent continuous variables and an epigraph variable associated with a nonnegative function, fj, of common binary variables. Sets of this form naturally arise as substructures in a number of applications, including mean-risk optimization, chance-constrained problems, portfolio optimization, lot sizing and scheduling, fractional programming, variants of the best subset selection problem, a class of sparse semidefinite programs, and distributionally robust chance-constrained programs. We give a convex hull description of this set that relies on simultaneous characterization of the epigraphs of fj’s, which is easy to do when all functions fj’s are submodular. Our result unifies and generalizes an existing result in two important directions. First, it considers multiple general convex cone constraints instead of a single second-order cone type constraint. Second, it takes arbitrary nonnegative functions instead of a specific submodular function obtained from the square root of an affine function. We close by demonstrating the applicability of our results in the context of a number of problem classes. © 2023 INFORMS.

关键词： Constrained optimization

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Enhanced Growth Optimizer and Its Application to Multispectral Image Fusion

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Computers, Materials & Continua 2024年第11期81卷 3033-3062页

作者： Jeng-Shyang Pan Wenda Li Shu-Chuan Chu Xiao Sui Junzo Watada College of Computer Science and Engineering Shandong University of Science and TechnologyQingdao266590China Department of Information Management Chaoyang University of TechnologyTaichung413310Taiwan Graduate School of Information Production and SystemsWaseda UniversityKitakyushu808-0135Japan

The growth optimizer(GO)is an innovative and robust metaheuristic optimization algorithm designed to simulate the learning and reflective processes experienced by individuals as they mature within the social ***,the original GO algorithm is constrained by two significant limitations:slow convergence and high mem-ory *** restricts its application to large-scale and complex *** address these problems,this paper proposes an innovative enhanced growth optimizer(eGO).In contrast to conventional population-based optimization algorithms,the eGO algorithm utilizes a probabilistic model,designated as the virtual population,which is capable of accurately replicating the behavior of actual populations while simultaneously reducing memory ***,this paper introduces the Lévy flight mechanism,which enhances the diversity and flexibility of the search process,thus further improving the algorithm’s global search capability and convergence *** verify the effectiveness of the eGO algorithm,a series of experiments were conducted using the CEC2014 and CEC2017 test *** results demonstrate that the eGO algorithm outperforms the original GO algorithm and other compact algorithms regarding memory usage and convergence speed,thus exhibiting powerful optimization ***,the eGO algorithm was applied to image *** a comparative analysis with the existing PSO and GO algorithms and other compact algorithms,the eGO algorithm demonstrates superior performance in image fusion.

关键词： Growth optimizer probabilistic model Lévy flight image fusion

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Metasurfaces for next-generation wireless communication systems

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National Science Review 2023年第8期10卷 17-19页

作者： Younes Ra'di Nikita Nefedkin Petar Popovski Andrea Alù Department of Electrical Engineering and Computer Science Syracuse University Photonics Initiative Advanced Science Research Center City University of New York Department of Electronic Systems Aalborg University Physics Program Graduate Center City University of New York

The pace of development in the world of 5G communication systems has proven to be much more demanding than previous generations, with 5G-Advanced seemingly around the corner [1]. Extensive research is already underway to structure the next generation of wireless systems(i.e. 6G), which may potentially enable an unprecedented level of human–machine interaction [2].

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