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Container Pre-marshalling Problem Minimizing CV@R under Uncertainty of Ship Arrival Times

Journal of Japan Industrial management Association 2025年第4 E期75卷 172-182页

作者： Ikuma, Daiki Ikeda, Shunnosuke Sukegawa, Noriyoshi Takano, Yuichi Graduate School of Science and Technology University of Tsukuba Japan Department of Advanced Sciences Hosei University Japan Institute of Systems and Information Engineering University of Tsukuba Japan

This paper is concerned with the container pre-marshalling problem, which involves relocating containers in the storage area so that they can be efficiently loaded onto ships without reshuffles. In reality, however, ship arrival times are affected by various external factors, which can cause the order of container retrieval to be different from the initial plan. To represent such uncertainty, we generate multiple scenarios from a multivariate probability distribution of ship arrival times. We derive a mixed-integer linear optimization model to find an optimal container layout such that the conditional value-at-risk is minimized for the number of misplaced containers responsible for reshuffles. Moreover, we devise an exact algorithm based on the cutting-plane method to handle large-scale problems. Numerical experiments using synthetic datasets demonstrate that our method can produce high-quality container layouts compared with the conventional robust optimization model. Additionally, our algorithm can speed up computations for solving large-scale problems. © 2025 Japan Industrial management Association. All rights reserved.

关键词： Mixed-integer linear programming

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Recent Developments in Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication: Issues and Challenges

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Computers, Materials & Continua 2024年第4期79卷 93-115页

作者： Shafi Ullah Sibghat Ullah Bazai Mohammad Imran Qazi Mudassar Ilyas Abid Mehmood Muhammad Asim Saleem Muhmmad Aasim Rafique Arsalan Haider Ilyas Khan Sajid Iqbal Yonis Gulzar Kauser Hameed Department of Computer Engineering Balochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Department of Information Technology Balochistan University of Information TechnologyEngineeringand Management SciencesQuetta87300Pakistan Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Software Engineering College of ComputingRiphah International UniversityFaisalabad44000Pakistan Department of Electrical Engineering Balochistan University of Information Technology Engineeringand Management SciencesQuetta87300Pakistan Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Machine-to-machine (M2M) communication plays a fundamental role in autonomous IoT (Internet of Things)-based infrastructure, a vital part of the fourth industrial revolution. Machine-type communication devices(MTCDs) regularly share extensive data without human intervention while making all types of decisions. Thesedecisions may involve controlling sensitive ventilation systems maintaining uniform temperature, live heartbeatmonitoring, and several different alert systems. Many of these devices simultaneously share data to form anautomated system. The data shared between machine-type communication devices (MTCDs) is prone to risk dueto limited computational power, internal memory, and energy capacity. Therefore, securing the data and devicesbecomes challenging due to factors such as dynamic operational environments, remoteness, harsh conditions,and areas where human physical access is difficult. One of the crucial parts of securing MTCDs and data isauthentication, where each devicemust be verified before data transmission. SeveralM2Mauthentication schemeshave been proposed in the literature, however, the literature lacks a comprehensive overview of current M2Mauthentication techniques and the challenges associated with them. To utilize a suitable authentication schemefor specific scenarios, it is important to understand the challenges associated with it. Therefore, this article fillsthis gap by reviewing the state-of-the-art research on authentication schemes in MTCDs specifically concerningapplication categories, security provisions, and performance efficiency.

关键词： Authentication cyber security internet of things machine-type communication devices machine-to-machine communication

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Recent Advancements in Sealants Solutions for Surface Coatings: A Comprehensive Review

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Journal of Bio- and Tribo-Corrosion 2024年第3期10卷 1-26页

作者： Pandiyarajan, Narayanasamy Nunthavarawong, Peerawatt Tribo-Systems for Industrial Tools and Machinery Research Laboratory Department of Materials and Production Engineering The Sirindhorn International Thai-German Graduate School of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Mechanical Engineering Kamaraj College of Engineering and Technology Tamil Nadu Madurai625701 India

This review presents a novel and comprehensive analysis of various sealants used in diverse coating applications, focusing on their role in corrosion prevention. Sealants are crucial in shielding the coating materials from various environmental factors. This review categorizes the sealants into polymer, ceramic, inorganic chemical, and composite based. It delves into the significance of sealants in enhancing corrosion resistance and overall durability within coatings, drawing insights from an extensive literature analysis. By underscoring the pivotal role of sealants, this study serves as a unique and valuable resource for researchers and practitioners in coatings and materials science, emphasizing their significance in the ongoing battle against corrosion. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Sealants

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L2 Input-to-State Stability and Stabilization of Coupled Linear ODE-Hyperbolic PDE systems∗ 63

L2 Input-to-State Stability and Stabilization of Coupled Lin...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Coutinho, Daniel Andrade, Gustavo Artur De Carvalho, Franthiescolly Vieira De Federal University of Santa Catarina Department of Automation and Systems Engineering Florianópolis88040-370 Brazil Federal University of Santa Catarina Post-graduate Program in Automation and Systems Engineering Florianópolis88040-370 Brazil

ISBN: (纸本)9798350316339

This paper addresses the problem of input-to-state stability (ISS) and stabilization of linear ordinary differential equations (ODEs) coupled with a system of homogeneous linear hyperbolic partial differential equations (PDEs) through the boundaries. First, a Lyapunov result characterizing the ISS property for finite-dimensional systems is extended to deal with coupled ODE and PDE systems. The proposed ISS condition is then applied to derive stability and stabilization conditions in terms of linear matrix inequality constraints assuming magnitude bounded disturbances at the boundaries. Two convex optimization problems are also proposed in order to obtain either an optimized reachable set estimate or a boundary controller that minimizes the disturbance effects on the L2 × R-norm of the system states. Numerical examples illustrate the potential of the proposed approach. © 2024 IEEE.

关键词： Convex optimization

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Performance Analysis of Ducted-Fan Modules with Axial Impeller

Performance Analysis of Ducted-Fan Modules with Axial Impell...

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2024 International Conference on Precision engineering and Mechanical Manufacturing, PEMM 2024

作者： Shiau, Yau-Ren Fang, Jiunn Huang, Yuan-Chi 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

ISBN: (纸本)9781510683129

Impellers are extensively employed across various industrial sectors and in different industrial systems, such as ducted-fan modules. The configuration of ducted-fan modules can be optimized to achieve high impeller performance, safe and stable operation, and high operational efficiency. This study designed two ducted-fan modules with axial impellers composed of airfoil cascades by using the Fan Calculator software program to analyze their performance and efficiency. The study discovered that the module efficiency varied with the internal impeller diameter, external impeller diameter, and rotational speed. An increase in the outlet angle of the blade tip caused increases in the power generated by, pressure change produced in, and flow rate of the modules, thereby enhancing fan efficiency and module performance. The study makes two contributions. First, it constructed two ducted-fan modules with axial impellers by using the duct to isolate the blades, thus increasing the safety and stability of the fan. Second, it explored the performance and efficiency of impellers with airfoil cascades to enhance fan efficiency and optimize the design of a ducted-fan module. © 2024 SPIE.

关键词： Ducted fan engines

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DEVELOPMENT OF THE AI-ASSISTED THERMAL HYDRAULIC ANALYSIS METHOD FOR CONDENSING BUBBLES IN VERTICAL SUBCOOLED FLOW BOILING 31

DEVELOPMENT OF THE AI-ASSISTED THERMAL HYDRAULIC ANALYSIS ME...

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2024 31st International Conference on Nuclear engineering, ICONE 2024

作者： Zhou, Wen Miwa, Shuichiro Okamoto, Koji Okawa, Tomio Tsujimura, Ryoma Nguyen, Thanh-Binh Department of Nuclear Engineering and Management School of Engineering University of Tokyo Tokyo Japan Department of Mechanical & Intelligent Systems Engineering The University of Electro-Communications Tokyo Japan

ISBN: (纸本)9780791888315

Subcooled flow boiling plays a pivotal role in various industrial applications, including nuclear reactors and thermal management systems. However, the rapid and complex changes of condensing bubbles experience from their inception to collapse in subcooled flow boiling present substantial obstacles for conventional bubble detection methods, especially when it comes to condensation bubbles. In light of this, a state-of-the-art AI method is developed and validated for the efficient detection and tracking of condensation bubbles in subcooled flow boiling, thereby enabling the effective execution of thermal hydraulic analyses. This study initially employs computer vision technology to efficiently construct a bubble dataset. Subsequently, a bubble detection model is trained based on this dataset and the YOLOv8 with attention mechanism. Utilizing the results of bubble detection, a multi-object tracking algorithm is then applied to track all bubbles in each frame. The developed AI-based method exhibits a strong ability to detect 95% of condensation bubbles in subcooled flow boiling, additionally, it streamlines the extraction of critical thermal hydraulic parameters, including void fraction, bubble lifetime, and nucleation site density. The model's accuracy and consistency is demonstrated compared to empirical correlations, affirming its reliability in analyzing the intricate dynamics of subcooled flow boiling. © 2024 by ASME.

关键词： Void fraction

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Sentiment analysis in social internet of things using contextual representations and dilated convolution neural network

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Neural Computing and Applications 2024年第20期36卷 12357-12370页

作者： Abid, Fazeel Rasheed, Jawad Hamdi, Mohammed Alshahrani, Hani Al Reshan, Mana Saleh Shaikh, Asadullah Department of Information Systems Dr. Hassan Murad School of Management University of Management and Technology Lahore Pakistan Department of Computer Engineering Istanbul Sabahattin Zaim University Istanbul34303 Turkey Department of Software Engineering Istanbul Nisantasi University Istanbul34394 Turkey Department Computer Science College of Computer Science and Information Systems Najran University Najran61441 Saudi Arabia Department Information Systems College of Computer Science and Information Systems Najran University Najran61441 Saudi Arabia

The methodologies based on neural networks are substantial to accomplish sentiment analysis in the Social Internet of Things (SIoT). With social media sentiment analysis, significant insights can produce efficient and intelligent applications. Neural networks such as recurrent neural networks (RNNs) and convolution neural networks (CNNs) have been considered widely in many text classification tasks. However, RNNs are computationally expensive and require complex training to capture contextual information and long-term dependencies. Similarly, traditional CNNs must stack multiple convolutional layers, requiring massive computations and additional parameters. To address these problems, this work initialized the novel architecture, in which contextual representations (CRs) based on the textual framework are proposed at the initial step. In CRs, state-of-the-art word representation models, such as GloVe (global vectors) and FastText (subword information), collectively produce word representations upon the input sequence using a weight mechanism. Secondly, a unique way is introduced: a three-parallel layered dilated convolutional network with global mean pooling. The experimental results show that the proposed methods when compared with baseline methods, the dilation in CNNs following CRs significantly increases the accuracy from 72.45 to 98.98% and reduces computational resources. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Sentiment analysis

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Cooperative Donation programs in Supply Chains With Non-Governmental Organizations (NGOs)

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IEEE Transactions on engineering management 2024年 71卷 574-585页

作者： Pahlevani, Mahsa Choi, Tsan-Ming Heydari, Jafar Xu, Xiaoyan University of Tehran School of Industrial Engineering College of Engineering Tehran*** Iran Dalhousie University Department of Industrial Engineering HalifaxNSB3H 4R2 Canada National Taiwan University Department and Graduate Institute of Business Administration College of Management Taipei10617 Taiwan The Hong Kong Polytechnic University Department of Industrial and Systems Engineering Hong Kong Hong Kong

Today, corporate social responsibility (CSR) is known as a critical element of supply chain (SC) operations. In this article, we analytically study an SC coordination problem with social efforts for charity. The proposed SC includes one retailer and one manufacturer in which the manufacturer gives donations to a nongovernmental organization (NGO) in two forms, namely a lump sum amount plus a per-sold-item donation amount. While CSR efforts have been considered as an abstract concept in prior studies, this article contributes to the literature by specifically exploring an SC with an NGO in the form of two types of donations as CSR activities. The problem is first modeled under a decentralized decision-making setting in which each member focuses on its own profit. The second model is developed under the centralized decision-making structure in which the whole SC profit under the centralized scenario is improved. To achieve Pareto-improving channel coordination, a cooperative donation program using a combined 'wholesale price and cost-sharing' contract is proposed. Our analytically proven results demonstrate that the proposed SC coordination contract can achieve Pareto improvement. Moreover, we prove that the NGO receives more donations under the proposed contract. Therefore, the proposed contract is beneficial to both the SC members and the NGO. In the extended model, we investigate the case under the endogenous 'low/high pricing regimes' and reveal that the main findings remain robust. Managerial insights and implications are discussed. © 1988-2012 IEEE.

关键词： Supply chains

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Designing Manufacturing Enterprises System for Industry 4.0

Designing Manufacturing Enterprises System for Industry 4.0

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IISE Annual Conference and Expo 2024

作者： Garbie, Ibrahim Garbie, Muhammad Department of Mechanical Engineering Industrial Engineering Program College of Engineering Helwan University Cairo Egypt Department of Industrial Systems and Manufacturing Engineering Texas Tech University LubbockTX United States

ISBN: (纸本)9781713877851

Currently, researchers are concentrating their attention on design for manufacturing, design for assembly, design for cost and design for quality, design for complexity, design for reconfiguration, design for sustainability, and design for X…etc., but they do not mention design manufacturing enterprises system for Industry 4.0. The design manufacturing enterprises system for Industry 4.0 is a systemic approach that simultaneously identifies elements and components for designing manufacturing enterprises for Industry 4.0, taking into consideration the new urgency of adopting Industry 4.0 and the challenges and risk management for implementing Industry 4.0. In this paper, the designing analysis and level will be presented by identifying the relative importance of urgent adoption and the challenges of implementing Industry 4.0. © IISE Annual Conference and Expo *** rights reserved.

关键词： Smart manufacturing

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Shared Mental Models and Boundary management Activities in New Product Development: A Perspective on Multiteam systems

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IEEE Transactions on engineering management 2024年 71卷 1073-1085页

作者： Lei, Yang Wu, Xiaosong Jiang, James The Department of Information Systems and Management Engineering College of Business Southern University of Science and Technology Shenzhen518055 China The Department of Innovation Management Tsinghua Shenzhen International Graduate School Shenzhen518071 China The Department of Business Administration College of Management National Taiwan University Taipei10617 Taiwan

—Multiteam systems (MTSs) have been increasingly adopted as an organizational form to manage large-scale projects. However, new product development (NPD) in the MTSs structure entails challenges with respect to achieving efficiency due to interteam coordination challenges. Shared mental models (SMMs) within a single team have been found to facilitate intrateam coordination;however, further exploration is needed as to whether SMMs within MTSs can improve interteam coordination among component teams and, if so, what mechanisms underlie this. The present article examines the theoretical underpinning of the impacts of SMMs among component team leaders on MTSs’ NPD efficiency, and further considers the impact of external conditions of requirement uncertainty, the most common external situation during NPD. Using survey data from 110 information technology development MTSs and drawing on boundary management perspective, the results reveal that SMMs among component team leaders positively affect NPD efficiency by managing the MTSs boundary, i.e., through boundary entrainment and boundary buffering activities at the system level. In addition, we find that requirement uncertainty plays a vital role in determining the nature of this relationship. Taken together, our findings highlight the importance of the role of SMMs among component team leaders in facilitating NPD efficiency in MTSs settings. © 2022 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

关键词： Project management

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