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

作者： Templonuevo, Jan Alexis C. Mariñas, Klint Allen Young, Michael School of Industrial Engineering and Engineering Management Mapua University Manila1002 Philippines Department of Industrial and Systems Engineering Chung Yuan Christian University Taoyuan320 Taiwan

ISBN: (纸本)9798400717130

A company ventures to expand its services from aluminum ship construction to full scale ship management business unit to provide hybrid services on its existing and new clients and further compete on a global scale. The study tackles the existing ship maintenance and repair processes and practices of Company A. Moreover, highlights the feasibility of catering and the methodological formulation of the process map to be implemented. A proposed framework is discussed in detail, the processes were created and developed through focus group discussions, interviews, and literature review. Discussions were conducted from/between maritime professionals on diverse views of engineers and architects who are from seagoing, offshore or land based maritime professions. Focus group discussion was held to combine ideas which led into the creation of processes, whereas also supported by related literature on the subject matter. The study formed illustrations of processes into decision analysis tree, assessment matrix, process maps and innovative adaptations that would fit the need of the company to provide the services around the Philippines with the vessels at any given point on its map. This third-party ship management, which is hybrid in nature, lifts the level of conventional maintenance and repair which are mostly involved only by the professionals practicing in this domain. The paper demonstrated how a shipbuilding company that specializes but is limited in the delivery, construction, and logistical support of ships may broaden its scope to a full-scale third-party ship management business unit. © 2024 ACM.

关键词： Shipyards

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Joint Optimization of Production, Distribution and Maintenance for Multi-Site Refinery System with Single Machine and Multiple Parallel Storage Tanks 8

Joint Optimization of Production, Distribution and Maintenan...

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8th IEEE International Energy Conference, ENERGYCON 2024

作者： Diaz, Kamar Sefiani, Naoufal Kammoun, Mohamed Ali Hajej, Zied Department of industrial Engineering and Maintenance University of Lorraine France Department of Mechanical Engineering Abdelmalek Essaâdi University Computer Engineering Production and Maintenance Laboratory Morocco Research Laboratory in Engineering Innovation and Management of Industrial Systems Metz France Department of Mechanical Engineering Abdelmalek Essaâdi University Research Laboratory in Engineering Innovation and Management of Industrial Systems Tangier Morocco Department of industrial Engineering and Maintenance University of Lorraine Computer Engineering Production and Maintenance Laboratory Metz France

ISBN: (纸本)9798350382150

This paper deals with a problem of optimizing production, logistics and maintenance in a multi-site, multi-demand fuel refinery. Each site is equipped with one refining machine and parallel storage tanks. The objective is to meet customer demand while maintaining a given service level. The process starts with an economic production plan for each site during each production period. A distribution plan is then implemented to improve cooperation between sites and reduce the risk of shortages in the case of unsatisfied demand. Given the impact of production rates on the refining machines degradation, a preventive maintenance strategy is developed for each machine. In addition, a preventive maintenance strategy for storage tanks is established based on experimental results showing the correlation between production rates and storage tank failure rates due to corrosion. A numerical example is presented to illustrate the robustness of the proposed model. ©2024 IEEE.

关键词： Preventive maintenance

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Image Semantic Segmentation Used in Automatics 17

Image Semantic Segmentation Used in Automatics

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17th International Conference on engineering of Modern Electric systems, EMES 2023

作者： Spoiala, Viorica University of Oradea Control Systems Engineering and Management Department Oradea Romania

ISBN: (纸本)9798350310634

This paper presents the importance of segmentation methods used in the object analysis in computer vision and image proccessing field, in the automated processes. Image segmentation is a crucial stage of image processing in the context of industrial automation. The detection of objects is one of the main purposes of image segmentation, and in order to do this, it is necessary to perform the segmentation and extraction of the image's significant elements in advance. Putting pixels into semantic classifications is the foundation of semantic segmentation, this being a deep learning method. In order to apply segmentation in computer vision of automated processes the first step could be to label the objects and then to train a neural network to apply this labels to all the similar objects detected in similar images. In this paper some images were segmented by using labels and deep learning methods. After the theoretical aspects are presented, then some examples are made in Matlab environment. © 2023 IEEE.

关键词： Automation

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Informative Path Planning for Nano-Surgical Robot Adaptive Drug Delivery 59

Informative Path Planning for Nano-Surgical Robot Adaptive D...

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59th Annual Conference on Information Sciences and systems, CISS 2025

作者： Alla, Sujatha Bheesetty, Nagesh Park, Hyoshin John Old Dominion University Engineering Management and Systems Engineering Norfolk United States Old Dominion University Department of Data Science Norfolk United States

ISBN: (纸本)9798331513269

Nano-surgical robots are transforming precision medicine by enabling minimally invasive procedures at a microscopic scale. Informative path planning for these robots is critical for ensuring safety, efficiency, and high precision in navigating sensitive anatomical and uncertain environments. This study adapts the RRT*-IT (Rapidly Exploring Random Tree-Information Theoretic) algorithm, traditionally utilized in robotics, to address the unique challenges faced by nano-surgical robots. The proposed methodology offers significant advancements in sub-millimeter precision navigation, reducing collision risks and enhancing procedural efficiency. The adaptive path planning system optimizes a trade-off between collision avoidance and information gain while minimizing surgical trajectory. The algorithm dynamically adjusts paths by incorporating probabilistic models for obstacle detection and uncertainty reduction, accommodating changes in tissue density, obstacle dimensions, and operational constraints. The performance of proposed approach are validated through various scenarios involving dynamic uncertain environments. The findings hold promise for broader applications in automated drug delivery setting a foundation for intelligent nano-robotic systems in healthcare. © 2025 IEEE.

关键词： Robot programming

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Application of Analytical Hierarchy Process (AHP) for Assessment of Plastic Waste

Application of Analytical Hierarchy Process (AHP) for Assess...

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2024 IEEE International Conference on Technology management, Operations and Decisions, ICTMOD 2024

作者： Joseph, Tania M Junu Jahana, C. Ndiaye, Malick College of Engineering American University of Sharjah Engineering Systems Management Sharjah United Arab Emirates College of Engineering American University of Sharjah Department of Industrial Engineering Sharjah United Arab Emirates

ISBN: (纸本)9798350367355

Addressing the escalating issue of plastic pollution has become a critical environmental priority due to the global inadequacy in managing rising plastic waste. This study applies the Analytical Hierarchy Process (AHP) to rank plastics based on their environmental, economic, and social impacts, identifying polycarbonate (PC) and polyvinyl chloride (PVC) as the most problematic. The AHP framework provides a methodologically sound basis for prioritizing these plastics in waste management strategies, enabling more targeted policy interventions, lifecycle analyses, and corporate decisionmaking. Additionally, the findings can inform public awareness campaigns and guide efforts toward sustainable consumption and waste reduction. By focusing on the most impactful plastics, this research offers a strategic pathway for enhancing the efficiency and sustainability of global plastic waste management. © 2024 IEEE.

关键词： Plastic recycling

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Conditional Importance Sampling For Convex Rare-Event Sets

Conditional Importance Sampling For Convex Rare-Event Sets

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2023 Winter Simulation Conference, WSC 2023

作者： Ahn, Dohyun Zheng, Lewen The Chinese University of Hong Department of Systems Engineering and Engineering Management Shatin New Territories Hong Kong

ISBN: (纸本)9798350369663

This paper studies the efficient estimation of expectations defined on convex rare-event sets using importance sampling. Classical importance sampling methods often neglect the geometry of the target set, resulting in a significant number of samples falling outside the target set. This can lead to an increase in the relative error of the estimator as the target event becomes rarer. To address this issue, we develop a conditional importance sampling scheme that achieves bounded relative error by changing the sampling distribution to ensure that a majority of samples lie inside the target set. The proposed method is easy to implement and significantly outperforms the existing approaches in various numerical experiments. © 2023 IEEE.

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Intelligent Turning Cyber-Physical systems Modeling using SysML 50

Intelligent Turning Cyber-Physical Systems Modeling using Sy...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Dey, Prithbey Raj Enke, David Buchely, Mario Department of Engineering Management and Systems Engineering Missouri University of Science and Technology Rolla United States Department of Materials Science and Engineering Missouri University of Science and Technology Rolla United States

ISBN: (纸本)9781665464543

Cyber-Physical systems (CPS) support industrial automation that incorporates people, hardware, signal, computation, and control using networking to achieve desired results. The complex automated CPS design demands a standard and comprehensive approach to appropriately identify the system requirements, define the architecture, and model the relationships among the software and hardware components. systems Modeling Language (SysML) provides the capability for a comprehensive modeling to capture the desired design requirements in the systems architecture. SysML enables performance estimation of the model by analyzing constraints while identifying interactions among the components through various behavioral diagrams. In this paper, SysML is applied to the design and development of an intelligent cyber-physical system to automate an industrial turning operation to facilitate optimal operating conditions, maintainability, and scalability. © 2024 IEEE.

关键词： Intelligent systems

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Application of Multi-Criteria Decision and Simulation Approaches to Selection of Additive Manufacturing Technology for Aerospace Application

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Computers, Materials & Continua 2025年第5期83卷 1623-1648页

作者： Ilesanmi Afolabi Daniyan Rumbidzai Muvunzi Festus Fameso Julius Ndambuki Williams Kupolati Jacques Snyman Department of Mechatronics Engineering Bells University of TechnologyOtaP.M.B.1015Nigeria Department of Industrial and Systems Engineering Cape Peninsula University of TechnologyCape Town7535South Africa Centre for Climate Change Water Security and Disaster ManagementDepartment of Civil EngineeringTshwane University of TechnologyPretoria0183South Africa

This study evaluates the Fuzzy Analytical Hierarchy Process(FAHP)as a multi-criteria decision(MCD)support tool for selecting appropriate additive manufacturing(AM)techniques that align with cleaner production and environmental *** FAHP model was validated using an example of the production of aircraft components(specifically fuselage)employing AM technologies such as Wire Arc Additive Manufacturing(WAAM),laser powder bed fusion(L-PBF),Binder Jetting(BJ),Selective Laser Sintering(SLS),and Laser Metal Deposition(LMD).The selection criteria prioritized eco-friendly manufacturing considerations,including the quality and properties of the final product(e.g.,surface finish,high strength,and corrosion resistance),service and functional requirements,weight reduction for improved energy efficiency(lightweight structures),and environmental *** metrics,such as cost-effectiveness,material efficiency,waste minimization,and environmental impact,are central to the evaluation process.A computer-aided modeling approach was also used to simulate the performance of aluminum(AA7075 T6),steel(304),and titanium alloy(Ti6Al4V)for fuselage *** results demonstrate that MCD approaches such as FAHP can effectively guide the selection of AM technologies that meet functional and technical requirements while minimizing environmental degradation ***,the aluminumalloy outperformed the other materials investigated in the simulation with the lowest stress concentration and least *** study contributes to advancing cleaner production practices by providing a decision-making framework for sustainable and eco-friendly manufacturing,enabling manufacturers to adopt AM technologies that promote environmental responsibility and sustainable development,while maintaining product quality and performance.

关键词： Additive manufacturing(AM) cleaner production computer-aided modelling and simulation environmental responsibility MCD sustainability

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Fully Interpretable Optimized Weights-Based Methodology for Adaptive Machine Fault Components Extraction

Fully Interpretable Optimized Weights-Based Methodology for ...

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UNIfied Conference of International Workshop on Defence Applications of Multi-Agent systems, DAMAS 2023, International Conference on Maintenance engineering, IncoME-V 2023, International conference on the Efficiency and Performance engineering Network, TEPEN 2023

作者： Hou, Bingchang Wang, Dong Xie, Min Department of Industrial Engineering and Management School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Systems Engineering City University of Hong Kong Hong Kong

ISBN: (纸本)9783031494208

Rotating machines are widely used in various domains and its condition monitoring can help to gain more economic profits and prevent unexpected accidents. Vibration signals usually contain sufficient health information, but they are also severely contaminated by heavy background noises including random noise and fixed fundamental vibration components. Therefore, it is of vital importance to effectively extract fault components for effective machine condition monitoring. Considering that the fault components of rotating machines usually exist in some narrow frequency bands, blind bandpass filtering methods such as fast kurtogram, blind deconvolution, and adaptive signal decomposition have been successively proposed. However, it is observed that these methods might be easily influenced by random impulsive noise and low-frequency components. Moreover, these methods also cannot simultaneously extract fault components distributed in different frequency bands. To solve these problems, a new machine fault components extraction methodology based on fully interpretable optimized weights is proposed. The interpretable optimized weights are generated by convex optimization by using healthy and faulty vibration signals, and they could provide sufficient frequency information of fault components. Simulated and experimental vibration signals demonstrate the effectiveness and superiority of the proposed method in solving the aforementioned problems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Convex optimization

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Influence of Keywords Color on Time Pressure in Synchronous Online Learning for Non-Native English Students: An Eye-tracking Approach 23

Influence of Keywords Color on Time Pressure in Synchronous ...

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7th International Conference on Education and Multimedia Technology, ICEMT 2023

作者： Mariñas, Klint Allen Amblon Sato, Jun Jou, Yung-Tsan Mariñas, Alana Gianne Amblon Department of Industrial and Systems Engineering Chung Yuan Christian University Taiwan Engineering and Engineering Management Mapua University Manila Philippines

ISBN: (纸本)9798400709142

The impact of COVID-19 has forced learning institutions to shift from physical to online methods. Due to the changes in learning environments, instructors and students must adapt to the online learning setup. Synchronous online learning has been utilized as an alternative;however, due to sudden changes, students, especially non-native English students using unfamiliar language, need to follow the course in real-time, which cause time pressure problem this affect learning effectiveness. The current research recruited twenty non-native English university students. Reading materials with text keywords and color assistance was utilized through eye-tracking. A post-test was conducted to analyze the relationship between the eye movement parameters and post-test results in different scenarios using analysis of variance. The experimental results indicated that reading materials with colored keywords could help non-native English students to improve reading comprehension and learning outcomes effectively. The red-colored keywords were significant under no time pressure, while the green-colored keywords were substantial in the context of time pressure. This research could provide important information in designing learning materials in synchronous online learning. © 2023 ACM.

关键词： Students

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