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6th International Conference on Mechanical engineering, ICOME 2023

作者： Hendrowati, Wiwiek Sutantra, INyoman Yuniarto, M. Nur Solichin, Moch. Nurlita, Cony Mechanical Engineering Department Faculty of Industrial Technology and Systems Engineering Institut Teknologi Sepuluh Nopember Jl AriefRahmanHakim Surabaya60111 Indonesia Graduate of the Department of Mechanical Engineering Faculty of Industrial Technology and Systems Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9789819778973

Riding comfort is the minimum vibration transferred by the road surface to a passenger, where it is characterized by maximum sprung mass acceleration. International standards determine riding comfort, specifically ISO 2631. This research utilizes a genetic algorithm to obtain optimal stiffness and damping coefficients for the vehicle suspension system. The system modeling is simulated using MATLAB software. Based on the genetic algorithm optimization performed, the optimal stiffness and damping coefficients obtained for the system are 203,800 N/s and 12,771 Ns/m for the front suspension stiffness and damping coefficient, respectively. The rear suspension stiffness and damping coefficient are 310,750 N/s and 10,702 Ns/m, respectively. With the optimized parameters, the dynamic responses of acceleration and displacement in vertical and pitch motions yield more comfortable results. The conclusions are drawn based on the root mean square (RMS) acceleration value for drivers who meet ISO 2631 comfort standards. The driver's system operates comfortably without complaints at low speeds, with only minor complaints at high rates. With the optimized suspension, the driver can sustain over 16 h of operation, whether subjected to sinusoidal road. The optimized parameters result in an improved transient vehicle response, characterized by reduced impact forces and quicker attainment of settling time. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Damping

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

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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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Understanding preferences for autonomous trucks functions in China: Insights from drivers and organizational buyers

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Transport Policy 2025年 170卷 110-119页

作者： Fu, Hanlong Fu, Xiaowen Ye, Shi Wang, Kun Chen, Tiantian Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hong Kong Behaviour and Knowledge Engineering Research Centre Department of Industrial and Systems Engineering Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Cho Chun Shik Graduate School of Mobility Korea Advanced Institute of Science and Technology Korea Republic of Department of Industrial and Systems Engineering Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong

The transportation industry is undergoing a significant transformation as it integrates advanced driver assistance systems (ADAS) technologies. This shift is particularly important in the trucking industry. Driver assistance technologies offer a promising solution for improving safety and reducing traffic accidents. However, the trucking industry lags significantly behind passenger vehicles in the maturity and penetration rate of such technologies. This study uses a stated preference survey to explore the purchasing preferences for ADAS functions among truck drivers and organization buyers in China. Our findings show that truck drivers with a safe driving history prioritize reliability and assistance features such as automatic emergency braking, adaptive cruise control, and lane-centering control. In contrast, drivers with a record of unsafe driving favor more advanced ADAS functions, such as city or highway navigation on autopilot, owing to their ability to alleviate driving stress. Buyers from organizations, compared with individual truck drivers, are more averse to the additional costs of ADAS technologies, while larger companies seem more willing to invest in autonomous trucks than are smaller businesses and individuals. However, top management teams remain cautious, reflecting a lack of confidence in the operational and safety benefits of the current technology at Level 2 autonomy. Resistance to adopting autonomous trucks is also stronger among male (vs. female) drivers and older drivers, who comprise a large segment of the domestic market. The study recommends that autonomous vehicle system providers and governments prioritize active safety functions to further improve safety. Furthermore, it is suggested that extensive training and trials be provided to increase trust and confidence in autonomous truck technologies among industry stakeholders. © 2025 Elsevier Ltd

关键词： Highway accidents

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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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A digital twin calibration for an automated material handling system in a semiconductor fab

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Journal of Manufacturing systems 2025年 80卷 1013-1028页

作者： Kang, Bonggwon Park, Chiwoo Kim, Haejoong Hong, Soondo Department of Industrial Engineering Pusan National University Busan46241 Korea Republic of Department of Industrial and Systems Engineering University of Washington SeattleWA98195 United States Department of Industrial and Management Engineering Kyonggi University Gyeonggi 16227 Korea Republic of

To address the complex, dynamic, and stochastic nature of an automated material handling system (AMHS) in a semiconductor fabrication facility (fab), practitioners have used a high-fidelity discrete-event simulation as its digital twin model for decision-making over several decades. Previous studies have focused on fast digital twin-based decision-making in AMHSs under the assumption that their digital twin models are credible enough to prescribe decisions. However, parameter uncertainty and intrinsic bias in an AMHS digital twin model can lead to an inaccurate representation of its field system. To address the challenge, this paper introduces the Bayesian calibration, which modularly estimates a digital twin outcome and its discrepancy using Gaussian process priors. A calibration framework for digital twin-based decision-making is also presented using an AMHS example. Our experimental results with various AMHS operating scenarios demonstrate that: (1) a sophisticated digital twin calibration is necessary, especially when AMHSs operate under heavy-workload scenarios;and (2) exploring model bias considerably decreases the prediction error of an AMHS digital twin within a limited number of field observations. Moreover, we discuss the applicability of the approach to digital twins in various fields. © 2025 The Society of Manufacturing Engineers

关键词： Gaussian distribution

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Effect of Sn addition on electrochemical activity of ribbons of Mg-Al-Ca anode material for rechargeable magnesium batteries fabricated by rapid solidification

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Keikinzoku/Journal of Japan Institute of Light Metals 2025年第1期75卷 9-13页

作者： Fukuta, Yoshitaka Kikura, Kensei Tsukeda, Tadayoshi Aida, Tetsuo Tabata, Hironobu Kurihara, Hideki Suzuki, Mayumi Program of Materials Science and Engineering Studies in Science and Engineering Graduate School of Science and Engineering University of Toyama 3190 Gofuku Toyama-shi Toyama930-8555 Japan Graduate School of Science and Engineering University of Toyama Toyama-shi Toyama Japan Faculty of Sustainable Design Academic Assembly University of Toyama Toyama-shi Toyama Japan CHUETSU METAL WORKS CO. LTD. Nakaniikawagun Toyama Japan Saitama Industrial technology Center Kawaguchi-shi Saitama Japan Department of Mechanical Systems Engineering Faculty of Engineering Toyama Prefectural University Imizu-shi Toyama Japan

Magnesium-based batteries are potential candidates for next-generation rechargeable batteries due to the divalent nature of magnesium cations and the natural abundance of magnesium resources. In this study, the electrochemical activity of Mg-6mass%Al-3mass%Ca anodes combined with Sn was investigated. Thin ribbons of the anode specimens were prepared by a single-roll rapid solidification method. The results showed that the electrochemical activity increased upon adding 1 mass% Sn, while it decreased for 3 mass% Sn. Based on the results of an X-ray diffraction analysis, the addition of Sn led to the formation of Mg2Sn and Ca2Sn phases, which increased the lattice distortion. Scanning electron microscopy observations indicated that these secondary phases were homogeneously distributed for 1 mass% Sn addition, while they were coarsely distributed for 3 mass% Sn. © 2025 The Japan Institute of Light Metals.

关键词： X ray diffraction analysis

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A Reliability-Driven Design and Test (ReDDT) methodology for space nuclear power and propulsion systems

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Journal of Space Safety engineering 2025年第1期12卷 53-65页

作者： Thomas, Dr. L. Dale Rawlins, Samantha Raghu, Shreyas Lakshmipuram Aueron, Alexander Department of Industrial & Systems Engineering and Engineering Management The University of Alabama in Huntsville 301 Sparkman Drive Huntsville 35899 AL United States Department of Mechanical and Aerospace Engineering The University of Alabama in Huntsville 301 Sparkman Drive Huntsville 35899 AL United States

The development methodology employed in the United States’ Rover NERVA program is reviewed as the basis for the Reliability-Driven Design and Test (ReDDT) methodology described herein. Postulated as perhaps the first full programmatic implementation of probabilistic design, the NERVA foundational methodology appears to have never been adopted elsewhere following program cancelation. Nevertheless, much of the framework developed during NERVA remains applicable, and the ReDDT approach described in this work is based upon their approach. The ReDDT approach builds on the NERVA method by introducing a qualitative failure mode analysis to identify which tests are most useful and maximize program efficiency. The qualitative analysis is supported by uncertainty analysis, which is applied to identify the drivers of the system's technical uncertainty and thereby drivers of safety and reliability. The ReDDT approach is distinct from existing reliability-based methodologies including Reliability Based Design Optimization (RBDO) and Design for Reliability (DfR) in that ReDDT focuses on concurrent and synergistic system design, integration, and test planning. ReDDT has been developed for NASA's current Space Nuclear Propulsion effort, but it has broader applicability to nuclear power systems and complex aerospace system developments and upgrades in general. The ReDDT methodology has the goal of transforming the relationship of the design effort to the integration and test effort within a system development from one of test-fail-fix to model-test-evaluate. © 2025 International Association for the Advancement of Space Safety

关键词： Integration and test strategy Model based design Reliability informed design Uncertainty analysis

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Inconsistent Interpretations of an "-ility" in Practice: A Survey of Affordability Definitions within NASA MSFC

Inconsistent Interpretations of an "-ility" in Practice: A S...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： White, Christopher Eaton, Casey Yeazitzis, Taylor Perner, David Falcon, Amelia Mesmer, Bryan Weger, Kristin Thomas, L. Dale Department of Industrial and Systems Engineering and Engineering Management The University of Alabama in Huntsville HuntsvilleAL35899 United States Department of Psychology The University of Alabama in Huntsville HuntsvilleAL35899 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

systems engineering often employs "-ilities", such as affordability, to represent various aspects of a system. While these "-ilities" are widely used, exact definitions for the terms can vary between individuals. While most definitions of affordability include some cost notion, only a subset balance cost against a benefit. Additionally, some definitions treat affordability as a binary constraint, a system either is affordable or it is not. Others define it in more continuous terms which could be treated as an objective to be maximized. While multiple definitions can be readily observed from different sources, the degree to which definitions for a concept such as affordability differs within a single organization has not been thoroughly studied. This paper presents results from a survey completed by 172 employees of NASA Marshall Space Flight Center. Definitions of affordability from each participant are categorized ac-cording to how cost and benefit notions are used in the definition. Eight different categories of definitions were observed;however, 86 of the 172 definitions were categorized as involving a cost constraint with no clear benefit component. Due to the variety of definitions of affordability observed, practitioners should be cautious about assuming what stakeholders and fellow decision makers mean when using the term affordability. The use of affordability definitions categorized as involving only a cost constraint may result in the elimination of alternatives in a design space, rather than driving decision makers to continuously improve affordability. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： NASA

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Predictive Vehicle Control at Intersections with Look-Ahead Driving Approach

Predictive Vehicle Control at Intersections with Look-Ahead ...

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2025 SICE International Symposium on Control systems, SICE ISCS 2025

作者： Magzhan, Atykhan Hossain, Md Delowar Bakibillah, A.S.M. Kamal, Md Abdus Samad Yamada, Kou Graduate School of Science and Technology Gunma University Kiryu Japan Institute of Science Tokyo Department of Systems and Control Engineering Tokyo Japan

ISBN: (纸本)9784907764852

This paper presents a look-ahead vehicle control scheme for efficient traffic management at signalized intersections. The proposed scheme predicts future driving states with a look-ahead approach as an extended adaptive cruise control (ACC) model. It maintains car-following behavior similar to human driving while predicting future states of traffic flow to minimize intersection clearing time and aggressive braking independently, similar to model predictive control (MPC) approaches. In contrast to MPC models that are computationally demanding and have limited practical applications due to real-time constraints, the proposed scheme uses a modified Intelligent Driver Model (IDM) with predictive adjustments. The efficiency of the control scheme is evaluated through simulations with multiple vehicles in intersection traffic scenarios, focusing on maintaining safe time headway within a traffic flow and ensuring efficient flows with higher intersection throughput. Comparative results indicate improvements in intersection clearance, human-like vehicle headway management, and enhanced traffic flow performance. © 2025 The Society of Instrument and Control Engineers.

关键词： Adaptive cruise control

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Fuzzy Decision-Based Clustering for Efficient Data Aggregation in Mobile UWSNs

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Computers, Materials & Continua 2025年第4期83卷 259-279页

作者： Aadil Mushtaq Pandith Manni Kumar Naveen Kumar Nitin Goyal Sachin Ahuja Yonis Gulzar Rashi Rastogi Rupesh Gupta Department of Computer Science and Engineering Lovely Professional UniversityJalandhar144402PunjabIndia Department of Computer Science and Engineering Chandigarh UniversityMohali140413PunjabIndia Salesforce Inc. DallasTX 75201USA Department of Computer Science and Engineering School of Engineering and TechnologyCentral University of HaryanaMahendragarh123031HaryanaIndia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Computer Application Sir Chhotu Ram Institute of Engineering and TechnologyCh.Charan Singh UniversityMeerut250001Uttar PradeshIndia Chitkara University Institute of Engineering and Technology Chitkara UniversityRajpura140401PunjabIndia

Underwater wireless sensor networks(UWSNs)rely on data aggregation to streamline routing operations by merging information at intermediate nodes before transmitting it to the ***,many existing data aggregation techniques are designed exclusively for static networks and fail to reflect the dynamic nature of underwater ***,conventional multi-hop data gathering techniques often lead to energy depletion problems near the sink,commonly known as the energy hole ***,cluster-based aggregation methods face significant challenges such as cluster head(CH)failures and collisions within clusters that degrade overall network *** address these limitations,this paper introduces an innovative framework,the Cluster-based Data Aggregation using Fuzzy Decision Model(CDAFDM),tailored for mobile *** proposed method has four main phases:clustering,CH selection,data aggregation,and *** CH selection,a fuzzy decision model is utilized to ensure efficient cluster head selection based on parameters such as residual energy,distance to the sink,and data delivery likelihood,enhancing network stability and energy *** the aggregation phase,CHs transmit a single,consolidated set of non-redundant data to the base station(BS),thereby reducing data duplication and saving *** adapt to the changing network topology,the re-clustering phase periodically updates cluster formations and reselects *** results show that CDAFDM outperforms current protocols such as CAPTAIN(Collection Algorithm for underwater oPTical-AcoustIc sensor Networks),EDDG(Event-Driven Data Gathering),and DCBMEC(Data Collection Based on Mobile Edge Computing)with a packet delivery ratio increase of up to 4%,an energy consumption reduction of 18%,and a data collection latency reduction of 52%.These findings highlight the framework’s potential for reliable and energy-efficient data aggregation mobile UWSNs.

关键词： Clustering data aggregation data collection fuzzy model monitoring UWSN

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