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Anomaly Detection in PV Systems using Constrained Low-Rank and Sparse Decomposition IISE Trans. (IF 2.6) Pub Date : 2024-04-05 Wei Yang, Daniel Fregosi, Micheal Bolen, Kamran Paynabar
PV (photovoltaic) systems, also known as solar panel systems, play an essential role in the mitigation of greenhouse gas emissions and the promotion of renewable energy. Through the conversion of s...
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Differentially Private Distributed Estimation and Learning IISE Trans. (IF 2.6) Pub Date : 2024-03-29 Marios Papachristou, M. Amin Rahimian
We study distributed estimation and learning problems in a networked environment where agents exchange information to estimate unknown statistical properties of random variables from their privatel...
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Iteration Complexity and Finite-Time Efficiency of Adaptive Sampling Trust-Region Methods for Stochastic Derivative-Free Optimization IISE Trans. (IF 2.6) Pub Date : 2024-03-27 Yunsoo Ha, Sara Shashaani
ASTRO-DF is a prominent trust-region method using adaptive sampling for stochastic derivative-free optimization of nonconvex problems. Its salient feature is an easy-to-understand-and-implement con...
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Simultaneous Optimal Control of Directional Missed Discovery Rates in Data Stream Diagnosis IISE Trans. (IF 2.6) Pub Date : 2024-03-19 Yan He, Yicheng Kang, Dongdong Xiang, Peihua Qiu
High-dimensional data streams are ubiquitous in modern manufacturing because of their ability to provide valuable information about the industrial system’s performance on a real-time basis. If a sh...
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Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling IISE Trans. (IF 2.6) Pub Date : 2024-03-19 Upala Junaida Islam, Kamran Paynabar, George Runger, Ashif Sikandar Iquebal
Active learning provides a framework to adaptively query the most informative experiments towards learning an unknown black-box function. Various approaches of active learning have been proposed in...
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Sequencing heterogeneous orders in Bucket Brigade order-picking lines IISE Trans. (IF 2.6) Pub Date : 2024-03-18 Yossi Bukchin, Eran Hanany, Eugene Khmelnitsky
Bucket Brigade (BB) is a common approach for dynamic work-sharing in order-picking lines. Differently from typical analysis, we assume heterogeneous orders, which creates blockages and reduced effi...
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Scheduling Policies to Minimize Abandonment Costs in Infomercial Call Centers IISE Trans. (IF 2.6) Pub Date : 2024-03-18 Sina Ansari, Laurens Debo, Seyed M.R. Iravani
Infomercial call centers answer calls in an order that reduces the number of abandoned calls to minimize lost revenue. We study a multi-class queuing system with a single server and customer abando...
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Simultaneous Treatment Effect Estimation and Variable Selection for Observational Data IISE Trans. (IF 2.6) Pub Date : 2024-03-12 Eun-Yeol Ma, Uichin Lee, Heeyoung Kim
Owing to the difficulties inherent in conducting controlled experiments, recent causal inference studies have focused on developing treatment effect estimation using observational data. One major d...
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Image-based Novel Fault Detection with Deep Learning Classifiers using Hierarchical Labels IISE Trans. (IF 2.6) Pub Date : 2024-03-06 Nurettin Sergin, Jiayu Huang, Tzyy-Shuh Chang, Hao Yan
One important characteristic of modern fault classification systems is the ability to flag the system when faced with previously unseen fault types. This work considers the unknown fault detection ...
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Incentivizing compliance behaviors with investment goods in pandemic preparedness and resilience IISE Trans. (IF 2.6) Pub Date : 2024-03-04 Ailing Xu, Yuhan Miao, Ying-Ju Chen, Qiao-Chu He, Zuo-Jun Max Shen
To understand non-compliance behaviors in investment goods in pandemic preparedness and resilience, we resort to a form of bounded rationality that people suffer from a lack of self-control due to ...
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Modeling and Optimization of Supply Chain Resilience to Pandemics and Long-Term Crises IISE Trans. (IF 2.6) Pub Date : 2024-02-28 Dmitry Ivanov, Weiwei Chen, David W. Coit, Nezih Altay
Published in IISE Transactions (Vol. 56, No. 7, 2024)
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Core-based Cost Allocation for Collaborative Multi-stop Truckload Shipping Problem IISE Trans. (IF 2.6) Pub Date : 2024-02-27 Minghui Lai, Yating Wu, Xiaoqiang Cai
With the recently emerged digital platforms in logistic, shipper can easily collaborate by bundling their heavy less-than-truckload orders via multi-stop truckload shipping to reduce transportation...
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The Impact of Early Large-scale Screening on the Evolution of Pandemics IISE Trans. (IF 2.6) Pub Date : 2024-02-27 Marwan ShamsEddin, Hadi El-Amine, Hrayer Aprahamian
We study the problem of large-scale screening in the early stages of a pandemic. In this setting, resources such as testing kits, budget, and hospital beds are scarce, and testing in early stages h...
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Consignment Contract in a Supply Chain with Price, Demand and Yield Randomness: A Distributionally Robust Approach IISE Trans. (IF 2.6) Pub Date : 2024-02-23 Yuanguang Zhong, Ju Liu, Yong-Wu Zhou, Bin Cao, Wenhui Zhou
We investigate a supply chain consisting of a supplier and an e-commence platform who sign a consignment contract with uncertainty in price, demand, and yield. Due to the challenges of actually det...
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The impact of resource sharing on the design of multi-client warehouses IISE Trans. (IF 2.6) Pub Date : 2024-02-23 Negin Jamili, Pieter L. vandenBerg, René deKoster
Third-party logistics (3PL) services are essential in many supply chains and aim at providing flexible and cost-effective transport and warehouse solutions. This study focuses on Warehouse Service ...
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Variational inference based transfer learning for profile monitoring with incomplete data IISE Trans. (IF 2.6) Pub Date : 2024-02-22 Amirhossein Fallahdizcheh, Chao Wang
Profile monitoring is a widely used tool in quality control. The rapid development of sensor technology brings unprecedented opportunities for multi-channel profile data collection, which motivates...
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Inspection Policy Optimization for Hierarchical Multistate Systems Under Uncertain Mission Scenarios: A Risk-Averse Perspective IISE Trans. (IF 2.6) Pub Date : 2024-02-22 Boyuan Zhang, Yu Liu, Shaomin Wu
Most engineered systems intend to perform missions with a pre-specified target success probability to reduce undesirable failure risks. Before executing the next mission, inspection activities are ...
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Quantifying the Benefits of Increasing Decision-Making Frequency for Health Applications with Regular Decision Epochs IISE Trans. (IF 2.6) Pub Date : 2024-02-22 Suyanpeng Zhang, Sze-Chuan Suen, Vinay Sundaram, Cynthia L. Gong
Sequential decision-making problems in the context of uncertainty naturally arise in healthcare settings. In general, the frequency at which decisions can be made or changed is determined by physic...
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Adaptive Sequential Procedures for Quantile Selection with Importance Sampling IISE Trans. (IF 2.6) Pub Date : 2024-02-21 Shing Chih Tsai, Guangxin Jiang, Jun Luo
In this paper, we consider the problem of identifying the simulated system configuration with optimal quantile performance among a finite set of alternative systems. We first propose adaptive seque...
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Mutual-Cognition for Proactive Human-Robot Collaboration: A Mixed Reality-enabled Visual Reasoning-based Method IISE Trans. (IF 2.6) Pub Date : 2024-02-05 Shufei Li, Yingchao You, Pai Zheng, Xi Vincent Wang, Lihui Wang
Human-Robot Collaboration (HRC) is key to flexible automation required by the mass personalization trend, especially towards human-centric intelligent manufacturing. Nevertheless, existing HRC syst...
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Optimizing Patient Transitions to Skilled Nursing Facilities IISE Trans. (IF 2.6) Pub Date : 2024-02-05 Sebastian A. Alvarez Avendaño, Oguzhan Alagoz, John Oruongo, Gabriel Zayas-Cabán
Hospital inpatient care costs is the largest component of health care expenditures in the US. At the same time, the number of non-hospital rehabilitative settings, such as skilled nursing facilitie...
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How Marginal Value of Time Influences Optimality when Remanufacturing to Multiple Generations IISE Trans. (IF 2.6) Pub Date : 2024-02-02 Mengyun Zhang, H. Neil Geismar, James D. Abbey
Because a product’s value decays over time, recovered items (cores) cannot regain their original value when remanufactured—even if kept in pristine condition. We consider a Remanufacturing Original...
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Integrated System Dynamics Modeling and Optimization for Artisanal and Small-scale Gold Supply Chains IISE Trans. (IF 2.6) Pub Date : 2024-02-06 Fatih Aranoglu, Tülay Flamand, Sebnem Duzgun, Gerardo Martinez, Nicole Smith
We address the artisanal and small-scale gold mining in Peru. Using the data collected through the field visits, we develop a system dynamics (SD) model to examine the current operations of the gol...
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Deep Gaussian Process for Enhanced Bayesian Optimization and its Application in Additive Manufacturing IISE Trans. (IF 2.6) Pub Date : 2024-01-31 Raghav Gnanasambandam, Bo Shen, Andrew Chung Chee Law, Chaoran Dou, Zhenyu (James) Kong
Engineering design problems typically require optimizing a quality measure by finding the right combination of controllable input parameters. In additive manufacturing (AM), the output characterist...
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Distribution-free Image Monitoring with Application to Battery Coating Process IISE Trans. (IF 2.6) Pub Date : 2024-01-23 Tingnan Gong, Di Liu, Heeseon Kim, Seong-Hee Kim, Taeheung Kim, Dongki Lee, Yao Xie
This paper presents a distribution-free image monitoring procedure for a manufacturing process, where a series of images are converted into a vector of two feature values extracted from singular va...
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Rebooting simulation IISE Trans. (IF 2.6) Pub Date : 2024-01-23 Barry L. Nelson
Computer simulation has been in the toolkit of industrial engineers for over 50 years and its value has been enhanced by advances in research, including both modeling and analysis, and in applicati...
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Online Nonparametric Monitoring for Asynchronous Processes with Serial Correlation IISE Trans. (IF 2.6) Pub Date : 2024-01-08 Ziqian Zheng, Honghan Ye, Kaibo Liu
Existing multivariate statistical process control (MSPC) methods commonly require all data streams have the same sampling interval. In practice, this assumption may not be valid as different sensor...
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Bayesian mixed-effect higher-order hidden Markov models with applications to predictive healthcare using electronic health records IISE Trans. (IF 2.6) Pub Date : 2024-01-08 Ying Liao, Yisha Xiang, Zhigen Zhao, Di Ai
The disease progression dynamics in electronic health records often reflect patients’ health condition evolution, holding the promise of enabling the development of clinical predictive models. Thes...
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An Analysis of COVID-19 Vaccine Hesitancy in the U.S. IISE Trans. (IF 2.6) Pub Date : 2024-01-05 Hieu Bui, Sandra Ekşioğlu, Rubén Proano, Sarah Nurre Pinkley
Reluctance or refusal to get vaccinated, commonly known as vaccine hesitancy (VH), poses a significant challenge to COVID-19 vaccination campaigns. Understanding the factors contributing to VH is e...
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Efficient Continuous Piecewise Linear Regression for Linearising Univariate Non-Linear Functions IISE Trans. (IF 2.6) Pub Date : 2024-01-02 John Alasdair Warwicker, Steffen Rebennack
Due to their flexibility and ability to incorporate non-linear relationships, mixed-integer non-linear programming (MINLP) approaches for optimisation are commonly presented as a solution tool for ...
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Introduction to the Special Issue on Analytical Methods for Detecting, Disrupting, and Dismantling Illicit Operations IISE Trans. (IF 2.6) Pub Date : 2023-12-21 Thomas C. Sharkey, Burcu B. Keskin, Renata Konrad, Maria E. Mayorga
Published in IISE Transactions (Vol. 56, No. 3, 2024)
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Component-Wise Markov Decision Process for Solving Condition Based Maintenance of Large Multi-Component Systems with Economic Dependence IISE Trans. (IF 2.6) Pub Date : 2023-12-15 Vipul Bansal, Yong Chen, Shiyu Zhou
Condition-based maintenance of multi-component systems is a prevalent engineering problem due to its effectiveness in reducing the operational and maintenance costs of the system. However, developi...
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Countering Terrorist Propaganda: Competitive Resource Allocation to Communities IISE Trans. (IF 2.6) Pub Date : 2023-12-14 Xia Chen, Yucheng Dong, Jun Zhuang
Increased terrorist propaganda has caused greater violence worldwide. Communities are efficient channels through which terrorist organizations can access target audiences; thus, communities are pla...
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Exact Algorithm and Machine Learning-Based Heuristic for the Stochastic Lot Streaming and Scheduling Problem IISE Trans. (IF 2.6) Pub Date : 2023-12-13 Ran Liu, Chengkai Wang, Huiyin Ouyang, Zerui Wu
This paper presents a probabilistic variant of the classic lot streaming and scheduling problem (LSSP), in which the arrival times of products are stochastic. The LSSP involves a multi-product lot ...
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Selection of Auto-Carrier Loading Policy in Automobile Shipping IISE Trans. (IF 2.6) Pub Date : 2023-12-06 Sajeeb Kumar Kirtonia, Yanshuo Sun, Zhi-Long Chen
Auto-carriers are widely used to ship automobiles by land from origins to destinations. To enable the compact storage of multiple automobiles, auto-carriers are specially designed such that automob...
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Distributed Cryptosystem for Service-oriented Smart Manufacturing IISE Trans. (IF 2.6) Pub Date : 2023-12-06 Alexander Krall, Daniel Finke, Hui Yang
Advanced sensing and cloud systems propel the rapid advancements of service-oriented smart manufacturing. As a result, there is widespread generation and proliferation of data in the interest of ma...
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Robust Generalized Scalar-on-Tensor Regression IISE Trans. (IF 2.6) Pub Date : 2023-11-30 Elif Konyar, Mostafa ReisiGahrooei, Ruizhi Zhang
High-dimensional (HD) data, such as images and profiles, are commonly collected from complex systems and contain significant explanatory and predictive information for effective systems monitoring ...
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PointSGRADE: Sparse Learning with Graph Representation for Anomaly Detection by Using Unstructured 3D Point Cloud Data IISE Trans. (IF 2.6) Pub Date : 2023-11-27 Chengyu Tao, Juan Du
Surface anomaly detection by using 3D point cloud data has recently received significant attention. To completely measure the common free-form surfaces without loss of details, advanced 3D scanning...
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Fulfillment Flexibility Strategy for Dual-channel Retail Networks IISE Trans. (IF 2.6) Pub Date : 2023-11-29 Yuanguang Zhong, Xueliang Zheng, Wei Xie
Flexibility design has been widely adopted in practice as a competitive strategy to respond effectively to uncertainties. In this paper, we analyze the fulfillment flexibility for dual-channel reta...
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Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow IISE Trans. (IF 2.6) Pub Date : 2023-11-28 Yuxuan Li, Chaoyue Zhao, Chenang Liu
The optimal power flow (OPF) problem, as a critical component of power system operations, becomes increasingly difficult to solve due to the variability, intermittency, and unpredictability of rene...
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Data-Driven Dynamic Optimization for Real-Time Parking Reservation Considering Parking Unpunctuality IISE Trans. (IF 2.6) Pub Date : 2023-11-28 Pengyu Yan, Mingyan Bai, Xiaoqiang Cai, Zhibin Chen, Hongke Xie
This paper examines a real-time parking reservation service that dynamically allocates a limited number of parking slots (which can be reused) to serve parking requests in a crowded area. The study...
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Decision support for selecting cost-efficient order picking solutions IISE Trans. (IF 2.6) Pub Date : 2023-11-16 Fabian Schäfer, Fabian Lorson, Alexander Hübner
Enabled via recent technological advances coupled with the advent of new systems providers and decreased price points, automated and robotized order-picking solutions (e.g., pick-assisting autonomo...
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Modeling User Choice Behavior under Data Corruption: Robust Learning of the Latent Decision Threshold Model IISE Trans. (IF 2.6) Pub Date : 2023-11-10 Feng Lin, Xiaoning Qian, Bobak Mortazavi, Zhangyang Wang, Shuai Huang, Cynthia Chen
Recent years have witnessed the emergence of many new mobile Apps and user-centered systems that interact with users by offering choices with rewards. These applications have been promising to addr...
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An Adaptive Approach for Online Monitoring of Large Scale Data Streams IISE Trans. (IF 2.6) Pub Date : 2023-11-08 Shuchen Cao, Ruizhi Zhang
In this paper, we propose an adaptive top-r method to monitor large-scale data streams where the change may affect a set of unknown data streams at some unknown time. Motivated by parallel and dist...
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Automated Deviation-Aware Landmark Selection for Freeform Product Accuracy Qualification in 3D Printing IISE Trans. (IF 2.6) Pub Date : 2023-11-08 Weizhi Lin, Qiang Huang
Landmarks are essential in non-rigid shape registration for identifying the correspondence between designs and actual products. In 3D printing, manual selection of landmarks becomes labor-intensive...
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Ranking and Pricing under a Cascade Model of Consumer Review Browsing IISE Trans. (IF 2.6) Pub Date : 2023-11-02 Jingtong Zhao, Xin Pan, Van-Anh Truong, Jie Song
In online platforms, the reviews posted by consumers who arrive earlier are playing an increasingly important role in the purchasing decisions of consumers who arrive later. Motivated by this obser...
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Robust expected improvement for Bayesian optimization IISE Trans. (IF 2.6) Pub Date : 2023-10-31 Ryan B. Christianson, Robert B. Gramacy
Bayesian Optimization (BO) links Gaussian Process (GP) surrogates with sequential design toward optimizing expensive-to-evaluate black-box functions. Example design heuristics, or so-called acquisi...
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Optimal Shipping, Collaboration, and Outsourcing Decisions in a Hybrid Cross-docking Supply Chain IISE Trans. (IF 2.6) Pub Date : 2023-10-20 Seulchan Lee, Alexandar Angelus, Jon M. Stauffer, Chelliah Sriskandarajah
Motivated by the supply chain of our oil-field service industry partner, we study shipping, collaboration, and outsourcing decisions in a decentralized, three-stage supply chain consisting of suppl...
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Similarity-based Sampling for Simulation with Binary Outcomes IISE Trans. (IF 2.6) Pub Date : 2023-10-16 Haitao Liu, Ping Cao, Loo Hay Lee, Ek Peng Chew
Abstract–We consider a feasibility determination problem via simulation with stochastic binary outcomes, in which the design space can be either discrete or continuous, and outcomes can be predicte...
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Integrated multi-plant collaborative production, inventory, and hub-spoke delivery of make-to-order products IISE Trans. (IF 2.6) Pub Date : 2023-10-16 Kefei Liu, Zhibin Jiang, Liping Zhou
Motivated by make-to-order applications with committed delivery dates in a variety of industries, we investigate the integrated multi-plant collaborative production, inventory, and hub-spoke delive...
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Change Point Detection of Multimode Processes Considering Both Mode Transitions and Parameter Changes IISE Trans. (IF 2.6) Pub Date : 2023-10-05 Jun Xu, Jie Zhou, Xiaofang Huang, Kaibo Wang
Multimode processes are common in modern industry and refer to processes that work in multiple operating modes. Motivated by the torque control process of a wind turbine, we determine that there ex...
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Data-driven Adaptive Testing Resource Allocation Strategies for Real-time Monitoring of Infectious Diseases IISE Trans. (IF 2.6) Pub Date : 2023-10-04 Xin Zan, Jaclyn Hall, Tom Hladish, Xiaochen Xian
Since 2002 with the SARS outbreak, infectious diseases, including the ongoing COVID-19 pandemic, have continued to be a major global public health threat. It is critical to develop effective data s...
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The digital twin synchronization problem: Framework, formulations, and analysis IISE Trans. (IF 2.6) Pub Date : 2023-10-02 Barış Tan, Andrea Matta
As the adoption of digital twins increases steadily, it is necessary to determine how to operate them most effectively and efficiently. In this article, the digital twin synchronization problem is ...
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Admission and Routing Control of Multiple Queues with Multiple Types of Customers IISE Trans. (IF 2.6) Pub Date : 2023-09-25 Sha Chen, Izak Duenyas, Seyed Iravani
We study the routing and admission control problem in a parallel queueing system with heterogeneous servers serving multiple types of customers. The system makes admission decision regarding whethe...
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A network-of-networks adaptation for cross-industry manufacturing repurposing IISE Trans. (IF 2.6) Pub Date : 2023-09-29 Alexandre Dolgui, Oleg Gusikhin, Dmitry Ivanov, Xingyu Li, Kathryn Stecke
During a crisis, manufacturing processes in supply chains of different industries may network with each other as an adaptation response. We propose and examine a “network-of-networks” mechanism of ...
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Statistical and Dynamic Model of Surface Morphology Evolution during Polishing in Additive Manufacturing IISE Trans. (IF 2.6) Pub Date : 2023-09-28 Adithyaa Karthikeyan, Soham Das, Satish T.S. Bukkapatnam, Ceyhun Eksin
Many industrial components, especially those realized through 3D printing undergo surface finishing processes, predominantly, in the form of mechanical polishing. The polishing processes for custom...
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Ontology-guided Attribute Learning to Accelerate Certification for Developing New Printing Processes IISE Trans. (IF 2.6) Pub Date : 2023-09-27 Tsegai O. Yhdego, Hui Wang, Zhibin Yu, Hongmei Chi
Identifying printing defects is vital for process certification, especially with evolving printing technologies. However, this task proves challenging, especially for micro-level defects necessitat...
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The Influence Coverage Optimization Problem IISE Trans. (IF 2.6) Pub Date : 2023-09-25 Majid Akhgar, Juan S. Borrero
We introduce the Influence Coverage Optimization Problem (ICOP), which is an influence maximization problem where the activation of nodes also depends on their location on the plane. Specifically, ...
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Dynamic Inspection and Maintenance Scheduling for Multi-State Systems Under Time-Varying Demand: Proximal Policy Optimization IISE Trans. (IF 2.6) Pub Date : 2023-09-15 Yiming Chen, Yu Liu, Tangfan Xiahou
Abstract Inspection and maintenance activities are effective ways to reveal and restore the health conditions of many industrial systems, respectively. Most extant works on inspection and maintenance optimization problems assumed that systems operate under a time-invariant demand. Such a simplified assumption is oftentimes violated by a changeable market environment, seasonal factors, and even unexpected
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Maintenance optimization for capital goods when information is incomplete and environment-dependent IISE Trans. (IF 2.6) Pub Date : 2023-09-11 Ragnar Eggertsson, Rob Basten, Geert-Jan van Houtum
Abstract– We study the problem of inspection and maintenance planning of capital goods based on observations of the capital good’s degradation state. However, the observations are imprecise, and their quality depends on the environment. For example, when performing maintenance for heating, ventilation, and air-conditioning units (HVACs) in trains, the health of the cooling component of an HVAC can