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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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Two-stage robust optimization approach for enhanced community resilience under tornado hazards

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European Journal of Operational Research 2025年第3期325卷 525-540页

作者： Ansari, Mehdi Borrero, Juan S. González, Andrés D. American Airlines Fort WorthTX United States Department of Industrial and Management Systems Engineering University of South Florida United States School of Industrial and Systems Engineering University of Oklahoma United States

Catastrophic tornadoes cause severe damage and are a threat to human wellbeing, making it critical to determine mitigation strategies to reduce their impact. One such strategy, following recent research, is to retrofit existing structures. To this end, in this article we propose a model that considers a decision-maker (a government agency or a public–private consortium) who seeks to allocate resources to retrofit and recover wood-frame residential structures, to minimize the population dislocation due to an uncertain tornado. In the first stage the decision-maker selects the retrofitting strategies, and in the second stage the recovery decisions are made after observing the tornado. As tornado paths cannot be forecasted reliably, we take a worst-case approach to uncertainty where paths are modeled as arbitrary line segments on the plane. Under the assumption that an area is affected if it is sufficiently close to the tornado path, the problem is framed as a two-stage robust optimization problem with a mixed-integer non-linear uncertainty set. We solve this problem by using a decomposition column-and-constraint generation algorithm that solves a two-level integer problem at each iteration. This problem, in turn, is solved by a decomposition branch-and-cut method that exploits the geometry of the uncertainty set. To illustrate the model's applicability, we present a case study based on Joplin, Missouri. Our results show that there can be up to 20% reductions in worst-case population dislocation by investing $15 million in retrofitting and recovery and that our approach outperforms other retrofitting policies. © 2025 Elsevier B.V.

关键词： Retrofitting

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GENERALIZED BAYESIAN NASH EQUILIBRIUM WITH CONTINUOUS TYPE AND ACTION SPACES

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SIAM Journal on Optimization 2025年第2期35卷 789-817页

作者： Tao, Yuan Xu, Huifu Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong Hong Kong

A Bayesian game is a strategic decision-making model where each player's type parameter characterizing its own objective is private information: Each player knows its own type but not its rivals' types, and a Bayesian Nash equilibrium is an outcome of this game where each player makes a strategic optimal decision according to its own type under the Nash conjecture. In this paper, we advance the literature by considering a generalized Bayesian game where each player's action space depends on its own type parameter and its rivals' actions. This reflects the fact that in practical applications, a player's feasible action is often related to its own type (e.g., marginal cost) and the rivals' actions (e.g., common resource constraints in a competitive market). Under some moderate conditions, we demonstrate the existence of a continuous generalized Bayesian Nash equilibrium (GBNE) and the uniqueness of such an equilibrium when each player's action space is only dependent on its type. In the case that each player's action space also depends on rivals' actions, we give a simple example to show that the uniqueness of the GBNE is not guaranteed under standard monotone conditions. To compute an approximate GBNE, we restrict each player's response function to the space of polynomial functions of its type parameter and subsequently convert the GBNE model to a stochastic generalized Nash equilibrium model. To justify the approximation, we discuss the convergence of the approximation scheme. Some preliminary numerical test results show that the approximation scheme works well. Copyright © by SIAM. Unauthorized reproduction of this article is prohibited.

关键词： continuous GBNE continuous type existence and uniqueness polynomial GBNE SGNE

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A Symbiosis of Multi-Criteria Decision Making and Electroencephalography: A Review of Techniques, Applications, and Future Directions

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IEEE Access 2025年 13卷 75067-75084页

作者： Adem, Aylin Çakıt, Erman Dağdevíren, Metin Szopa, Anna Karwowski, Waldemar University of Central Florida Department of Industrial Engineering and Management Systems OrlandoFL32816 United States Gazi University Department of Industrial Engineering Ankara06570 Turkey

Multi-criteria decision-making (MCDM) problems are generally oriented toward strategic decisions and have a significant economic aspect, holding a special place in decision-making processes. To address these problems, specialized techniques have been developed and utilized. Electroencephalography (EEG) is a technique that measures brain activity, and the results can be used both to diagnose neurological disorders and to create more productive and healthier working conditions in a wide variety of areas. This paper discusses the collaborative nature between MCDM and EEG, focusing on how EEG and MCDM processes can enhance each other. Based on the database search results, thirty-five out of 149 papers were selected for the review process. By examining the literature on both macro and micro scales, the following were mainly retrieved: a) the MCDM techniques applied and their use in analyzing EEG data, b) EEG devices and wave types used in the MCDM process, c) the attributes of MCDM or EEG that were focused on, and d) current trends in knowledge and research opportunities. The results of this study will help identify potential future research areas, as well as provide a comprehensive overview of the existing literature. To summarize the findings, it can be concluded that EEG measurements of decision-makers’ cognitive states during the application of MCDM techniques improve the MCDM process and the presentation of these techniques, or they enhance the results obtained by MCDM based on the cognitive states of decision-makers when evaluating alternatives. Additionally, MCDM techniques contribute to improvements in the classification or feature extraction stages of data obtained through EEG. © 2013 IEEE.

关键词： Neurons

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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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Integrating Potential Pronunciations for Enhanced Mispronunciation Detection and Diagnosis Ability in LLMs

Integrating Potential Pronunciations for Enhanced Mispronunc...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Wu, Minglin Xu, Jing Chen, Xueyuan Meng, Helen Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong

ISBN: (纸本)9798350368741

Large Language Models (LLMs) have exhibited significant potentials across various tasks. However, how to leverage the power of LLMs in the mispronunciation detection and diagnosis (MDD) task is still under-explored. In this paper, we propose a PP-ATP model, which integrates potential pronunciations covering common mispronunciations into the prompt part of LLMs, to enhance the MDD ability of LLMs in second language (L2) English. Specifically, the proposed PP-ATP model is composed of an audio encoder, an LLM decoder, and an adapter. Taking speech representations from the audio encoder as the audio prompt and reference sentence with canonical and potential pronunciations as text prompt, the LLM decoder is adapted to predict the actual pronunciation in the given L2 speech. Experiments show that our PP-ATP model achieves new state-of-the-art (SOTA) performance in MDD on CU-CHLOE corpus, confirming the effectiveness of potential pronunciation integration. © 2025 IEEE.

关键词： L2 English large language model mispronunciation detection and diagnosis potential pronunciations

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Single-Loop Variance-Reduced Stochastic Algorithm for Nonconvex-Concave Minimax Optimization

Single-Loop Variance-Reduced Stochastic Algorithm for Noncon...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Jiang, Xia Zhu, Linglingzhi Zheng, Taoli So, Anthony Man-Cho Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong

ISBN: (纸本)9798350368741

Nonconvex-concave (NC-C) finite-sum minimax problems have broad applications in decentralized optimization and various machine learning tasks. However, the nonsmooth nature of NC-C problems makes it challenging to design effective variance reduction techniques. Existing vanilla stochastic algorithms using uniform samples for gradient estimation often exhibit slow convergence rates and require bounded variance assumptions. In this paper, we develop a novel probabilistic variance reduction updating scheme and propose a single-loop algorithm called the probabilistic variance-reduced smoothed gradient descent-ascent (PVR-SGDA) algorithm. The proposed algorithm achieves an iteration complexity of O(ϵ−4), surpassing the best-known rates of stochastic algorithms for NC-C minimax problems and matching the performance of the best deterministic algorithms in this context. Finally, we demonstrate the effectiveness of the proposed algorithm through numerical simulations. © 2025 IEEE.

关键词： nonconvex-concave minimax optimization single-loop stochastic algorithm variance reduction

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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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