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An improved skip-lot sampling scheme with resampling mechanism using an advanced capability index

International Journal of Production Research 2025年第1期63卷 104-118页

作者： Wang, Zih-Huei Wu, Chien-Wei Li, Pei-Yi Department of Industrial Engineering and Systems Management Feng Chia University Taichung Taiwan Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan

In today’s competitive market, product quality holds significant importance for consumers, motivating companies to prioritise high-quality product development and enhance their competitiveness. Acceptance sampling plans have proven to be indispensable tools in quality control practices, enabling producers and consumers to protect their interests by establishing evaluation rules for product batches. As defective rates decrease in modern manufacturing, skip-lot sampling plans (SkSP) have emerged as a suitable way for lots exhibiting stable and excellent product quality. Additionally, repetitive group sampling plan (RGSP) offers a cost-effective way to maintain desired protection for both parties, especially in costly or destructive inspection scenarios. Therefore, this study integrates the benefits of process capability indices, SkSP, and RGSP to develop a new variables SkSP with RGSP as its reference plan based on an advanced capability index Cpmk (called Cpmk-based SkSP-RGSP). The proposed plan achieves comparable discriminatory power to traditional sampling plans while significantly reducing the required sample size. Detailed tables of plan parameters are given to facilitate effective implementation for practitioners. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Quality assurance

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Developing variables two-plan sampling scheme with consideration of process loss for lot sentencing

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Quality engineering 2025年第2期37卷 273-291页

作者： Darmawan, Armin Wu, Chien-Wei Wang, Zih-Huei Chiang, Ping-Jung Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan Department of Industrial Engineering Hasanuddin University Makassar Indonesia Department of Industrial Engineering and Systems Management Feng Chia University Taichung Taiwan

This paper considers a well-known two-plan sampling system, Tightened-Normal-Tightened (TNT) sampling scheme, which includes two single sampling plans (SSPs) with regulations for transitioning between tightened and normal inspections. Tightened inspection is conducted when there is a noticeable decline in quality, and normal inspection is employed when the quality is satisfactory. Most acceptance sampling plans evaluate product quality in terms of process yield, which does not differentiate between products that fall within specification limits. To address this issue, a new performance measure called the process loss index Le was developed, which accounts for the quality loss function. This index is determined by dividing the "expected quadratic loss" by the "square of half the specification width." Using this index, two primary types of variables TNT sampling scheme were constructed and evaluated in this study. Their efficacy and features were investigated, discussed, and compared. The findings reveal that the TNT sampling strategy delivers the required quality assurance with a reduced sample size compared to the conventional SSP. © 2024 Taylor & Francis Group, LLC.

关键词： Inspection

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A quantitative assessment of policy-driven impacts on circular economy of electric vehicle batteries in the United States

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Environment systems and Decisions 2025年第1期45卷 1-21页

作者： Ren, Guannan Eveleigh, Timothy Department of Engineering Management and Systems Engineering The George Washington University Washington DC United States

Electric vehicle battery recycling has emerged as a critical process in transitioning to sustainable transportation. As the demand for electric vehicles continues to rise, so does the need to address the end-of-life management of their batteries. Current battery recycling rates need to be increased to meet the growing demands for raw materials. This work incorporates system dynamics to model crucial factors, such as regulatory frameworks, economic incentives, and technological processes that influence the cost-effectiveness and efficiency of battery recycling systems. A composite model that integrates stock-and-flow structures with delays to capture the interconnectedness of variables such as battery production rates, demand and price fluctuations, recycling infrastructure capacity, and the effectiveness of recycling processes is developed to study the overall supply chain efficiency. By simulating scenarios like stricter regulations on battery disposal, incentives for recycling, or investments in research and development for battery designs and advanced recycling technologies, the aggregate model offers policymakers, industry stakeholders, and researchers insights into the effects of policies or process updates on electric vehicle battery recycling rates. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Circular economy Closed-loop supply chain Electric vehicle Policy Recycling Sustainability

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Innovative Mechanical Ventilation Control for Enhanced Indoor Air Quality and Energy Efficiency

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Energy engineering 2025年第3期122卷 861-883页

作者： Giovanni Miracco Francesco Nicoletti Vittorio Ferraro Dimitrios Kaliakatsos Department of Mechanical Energy and Management Engineering(DIMEG)University of CalabriaCosenza87036Italy Department of Computer ModellingElectronics and Systems Engineering(DIMES)University of CalabriaCosenza87036Italy

Indoor air quality(IAQ)is often overlooked,yet a poorly maintained environment can lead to significant health issues and reduced concentration and productivity in work or educational *** study presents an innovative control system for mechanical ventilation specifically designed for university classrooms,with the dual goal of enhancing IAQ and increasing energy *** classrooms with distinct construction characteristics were analyzed:one with exterior walls and windows,and the other completely *** each classroom,a model was developed using DesignBuilder software,which was calibrated with experimental data regarding CO_(2) concentration,temperature,and relative humidity *** proposed ventilation system operates based on CO_(2) concentration,relative humidity,and potential for free heating and *** addition,the analysis was conducted for other locations,demonstrating consistent energy savings across different climates and environments,always showing an annual reduction in energy *** demonstrate that mechanical ventilation,when integrated with heat recovery and free cooling strategies,significantly reduces energy consumption by up to 25%,while also maintaining optimal CO_(2) levels to enhance comfort and air *** findings emphasize the essential need for well-designed mechanical ventilation systems to ensure both psychophysical well-being and IAQ in enclosed spaces,particularly in environments intended for extended occupancy,such as ***,this approach has broad applicability,as it could be adapted to various building types,thereby contributing to sustainable energy management practices and promoting healthier indoor *** study serves as a model for future designs aiming to balance energy efficiency with indoor air quality,especially relevant in the post-COVID era,where the importance of indoor air quality has become more widely recognized.

关键词： Indoor air quality mechanical ventilation system innovative control system energy efficiency Energy-Plus simulation

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Change-point detection with deep learning:A review

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Frontiers of engineering management 2025年第1期12卷 154-176页

作者： Ruiyu XU Zheren SONG Jianguo WU Chao WANG Shiyu ZHOU Department of Industrial Engineering and Management Peking UniversityBeijing 100871China Department of Industrial and Systems Engineering University of IowaIowa CityIA 52242USA Department of Industrial and Systems Engineering University of Wisconsin-MadisonMadisonWI 53706USA

Recent advances in deep learning have led to the creation of various methods for change-point detection(CPD).These methods enhance the ability of CPD tech-niques to handle complex,high-dimensional data,making them more adaptable and less dependent on strict assump-tions about data *** methods have also demonstrated high accuracy and have been applied across various fields,including manufacturing,healthcare,activity monitoring,finance,and environmental *** review provides an overview of how these methods are applied,the data sets they use,and how their performance is *** also organizes techniques into supervised and unsupervised categories,citing key ***,we explore ongoing challenges and suggest directions for future research to improve interpretability,generalizability,and real-world implementation.

关键词： change-point detection deep learning supervised learning unsupervised learning time-series analysis

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Industry 5.0 in Healthcare: An Integrated Framework for Human-Centered Prosthetics Design and Manufacturing 6

Industry 5.0 in Healthcare: An Integrated Framework for Huma...

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6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Ambrogio, Giuseppina Borgia, Carmine Bortolini, Marco Catapano, Gerardo Conforti, Domenico De Napoli, Luigi Gagliardi, Francesco Galizia, Francesco Gabriele Guido, Rosita Longo, Francesco Mirabelli, Federica Mirabelli, Giovanni Mundo, Domenico Regattieri, Alberto Saffioti, Maria Rosaria Scordamaglia, Gabriele Solina, Vittorio Umbrello, Domenico Veltri, Pierpaolo University of Calabria Department of Mechanical Engineering Energy Engineering and Management Engineering Italy University of Bologna Department of Industrial Engineering Italy University of Calabria Department of Computer Engineering Modeling Electronics and Systems Engineering Italy

Industry 5.0 emphasizes human-centric approaches in technological advancement, particularly crucial in healthcare applications such as prosthetics development. While individual technologies like additive manufacturing, machine learning, digital twins, and tissue engineering have shown promise in prosthetics innovation, their integration remains a significant challenge. This paper presents a novel multidisciplinary framework developed through the National Centre for High-Performance Computing (CN-HPC) project, which addresses the gap between individual technological capabilities and their coordinated application in personalized prosthetics development. The framework, implemented through collaboration between six research groups from two universities, employs the House of Quality methodology to align technological integration with patient needs. Our approach encompasses a comprehensive seven-step process, from initial patient requirements definition through virtual modeling, production process optimization, virtual sensing, machine learning enhancement, digital twin simulation, to advanced tissue engineering. A data model facilitates seamless information exchange between different technological domains and research groups. This research contributes to the field by providing a scalable, human-centered framework for technology integration in medical device development, potentially extending beyond prosthetics to other healthcare applications. The proposed framework represents a significant step toward realizing the full potential of Industry 5.0 in healthcare manufacturing through the systematic integration of advanced technologies for delivering personalized prosthetic solutions. © 2024 The Authors. Published by Elsevier B.V.

关键词： Tissue engineering

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Improving lung cancer detection via MobileNetV2 and stacked-GRU with explainable AI

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International Journal of Information Technology (Singapore) 2025年第2期17卷 1189-1196页

作者： Bagheri Tofighi, Abolfazl Ahmadi, Abbas Mosadegh, Hadi Department of Industrial Engineering and Management Systems Amirkabir University of Technology (Tehran Polytechnic) Tehran Iran

Accurate and timely detection of lung cancer is crucial for effective treatment planning. This study introduces MobileNetV2-SGRU, a novel transfer learning-based predictor for lung cancer classification. It utilizes MobileNetV2 to automatically extract meaningful features from lung CT images. These extracted features processed through stacked gated recurrent unit layers, enabling the model to capture the sequential and temporal information present in the images. Additionally, the model incorporates Grad-CAM, an explainable artificial intelligence technique, to enhance interpretability and transparency of the model. An evaluation of MobileNetV2-SGRU on the IQ-OTH/NCCD dataset demonstrated its outstanding performance in lung cancer classification. The model achieves impressive accuracy, precision, recall, and F1-score of 96.83%, 96.78%, 96.83%, and 96.78%, respectively, demonstrating its superior predictive capabilities compared to existing methods. Furthermore, the results indicate reduced computation time and enhanced accuracy in diagnosing lung cancer. With advanced performance metrics and the incorporation of Grad-CAM visualization for interpretability, the model offers valuable insights for clinicians in validating and understanding its predictions, ultimately contributing to more effective treatment planning. © Bharati Vidyapeeth's Institute of Computer Applications and management 2024.

关键词： Explainable AI Grad-CAM Lung cancer Medical imaging MobileNetV2-SGRU Transfer learning

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Graph-based Variation Propagation Network for Modeling and Prediction of Hybrid Multi-Stage Manufacturing systems

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IEEE Transactions on Automation Science and engineering 2025年 22卷 14317-14331页

作者： Alenezi, Dhari F. Shi, Jianjun Li, Jing Georgia Institute of Technology H. Milton Stewart School of Industrial and Systems Engineering AtlantaGA30332 United States Kuwait University Department of Industrial and Management Systems Engineering Kuwait

Multistage Manufacturing systems (MMS) are common in industries involving complex processes with multiple stages, each impacting the final product quality. Traditional product quality modeling approaches struggle with the intricate interdependencies and variable structures within these systems, further complicated by the extensive sensor-generated data. In this paper, we introduce Graph-based Variation Propagation Network (GVPNet), an innovative approach for end-to-end learning of product quality representations and their propagation through MMS stages. GVPNet utilizes a heterogeneous Graph Attention Network (hGAT) architecture that uses a graph representation specifically tailored for MMS, facilitating the effective application of graph neural networks (GNN) in this context. The network’s ability to aggregate information and learn node embeddings enables it to predict quality variables several stages ahead, thus offering a proactive tool for quality control. GVPNet was applied in two real world case studies and demonstrated its superiority in predictive accuracy and robustness over benchmarks. © 2004-2012 IEEE.

关键词： Smart manufacturing

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A New Model of Trapped Charge Sources in Switching Transient Studies in the Presence of Shunt Reactors

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IEEE Access 2025年 13卷 37118-37127页

作者： Akafi-Mobarakeh, Mohsen Shariatinasab, Reza Siano, Pierluigi Vahidi, Behrooz Reza Najafi, Hamid University of Birjand Department of Electrical and Computer Engineering Birjand*** Iran University of Salerno Department of Management and Innovation Systems Fisciano84084 Italy National University of Science and Technology POLITEHNICA Bucharest Department of Power Systems Bucharest060042 Romania Tehran*** Iran

Insulation coordination studies are of great importance in power grid reliability. In this paper, a new method is proposed for modeling trapped charge sources (TCS) in switching transient studies. The TCS is used to take into account the voltage stored in line capacitors during reclosing operation after fault occurrence. The proposed model is designed based on the active filter concept, thus overcoming the limitations of conventional TCS for simulating transient states in EMTP/ATPDraw. Given the natural frequencies of a transmission line to which the proposed TCS (PTCS) is connected, it injects the appropriate frequencies and eliminates voltage oscillations which limit the use of TCS. To verify the efficiency of the PTCS, it is implemented in a real system with a shunt reactor, and the results are then compared with field measurements. A comparison of the results shows that the PTCS eliminates the voltage oscillations in the simulation before closing and provides a smooth voltage with the desired amplitude. Using the proposed model, the maximum line switching overvoltage is correctly calculated;this, in turn, results in a more accurate transmission line insulation design, which is technically and economically beneficial. © 2025 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://***/licenses/by/4.0/

关键词： Electromagnetic transients

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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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