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IISE Transactions

短名	IISE Trans.
Journal Impact	2.00
国际分区	OPERATIONS RESEARCH & MANAGEMENT SCIENCE(Q2)
期刊索引	SCI Q2中科院 3 区

ISSN	2472-5854, 2472-5862
h-index	107
国内分区	工程技术(3区)工程技术工程工业(4区)工程技术运筹学与管理科学(4区)

IISE TRANSACTIONS 目前在以下服务中被提取/索引：CSA/ASCE 土木工程文摘； CSA-计算机与信息系统文摘； CSA-腐蚀文摘； CSA-电子与通信文摘； CSA-工程材料文摘；带有 METADEX 的 CSA-材料研究数据库； CSA-机械与交通工程文摘； CSA-固态和超导文摘； INSPEC INFORMATION SERVICES AND SCIENCE CITATION INDEX.INSTITUTE OF INDUSTRIAL AND SYSTEMS ENGINEERS 和我们的出版商 TAYLOR & FRANCIS 尽一切努力确保我们出版物中包含的所有信息（“内容”）的准确性。但是，工业和系统工程师协会和我们的出版商 TAYLOR & FRANCIS、我们的代理和我们的许可方不对内容的准确性、完整性或对任何目的的适用性作出任何陈述或保证。本出版物中表达的任何观点和观点均为作者的观点和观点，并非工业与系统工程师协会和我们的出版商 TAYLOR & FRANCIS 的观点或认可。不应依赖内容的准确性，而应通过主要信息来源进行独立验证。工业和系统工程师协会和我们的出版商 TAYLOR & FRANCIS 不对任何直接或间接与与使用内容有关或因使用内容而产生的。访问和使用条款和条件可在 HTTP://WWW.TANDFONLINE.COM/PAGE/TERMS-AND-CONDITIONS 找到。

期刊主页投稿网址

涉及主题	计算机科学工程类数学经济业务物理统计量子力学人工智能操作系统生物程序设计语言
出版信息	出版商: Taylor and Francis Ltd.，出版周期: ，期刊类型: journal
基本数据	创刊年份: 2017，原创研究文献占比: 97.85%，自引率:15.00%， Gold OA占比: 5.26%

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A Partial Domain Generalization Method for Modeling Multiple Multistage Manufacturing Processes

2024-9-13

SmartFixture: Physics-guided Reinforcement Learning for Automatic Fixture Layout Design in Manufacturing Systems

2024-9-5

High-Dimensional Categorical Process Monitoring: A Data Mining Approach

2024-9-5

Nondestructive Fatigue Life Prediction for Additively Manufactured Metal Parts through a Multimodal Transfer Learning Framework

2024-9-3

A Profit Maximization Problem of Equipment Rental and Scheduling with Split Services

2024-9-3

A two-stage stochastic programming model for electric substation flood mitigation prior to an imminent hurricane

2024-8-20

Information-Directed Policy Sampling for Episodic Bayesian Markov Decision Processes

2024-8-19

A Multivariate Student- <i>t</i> Process Model for Dependent Tail-weighted Degradation Data

2024-8-7

An unsupervised embedding method based on streaming videos for process monitoring in repetitive production systems

2024-8-6

Multi-Laser Scan Assignment and Scheduling Optimization for Large Scale Metal Additive Manufacturing

2024-8-6

Tensor-Based Statistical Learning Methods for Diagnosing Product Quality Defects in Multistage Manufacturing Processes

2024-7-29

Optimizing the fleet of emergency medical service vehicles

2024-7-29

MFRL-BI: Design of a Model-free Reinforcement Learning Process Control Scheme by Using Bayesian Inference

2024-7-26

Courier routing for a new last-mile logistics service

2024-7-25

Design of unreliable flow lines: How to jointly allocate buffer space and spare parts

2024-7-24

Robust Radiotherapy Planning with Spatially Based Uncertainty Sets

2024-7-24

Robust Optimization Approaches in Inventory Management: Part B - The Comparative Study

2024-7-22

Robust Optimization Approaches in Inventory Management: Part A - The Survey

2024-7-22

Efficient Estimation and Selection for Regularized Dynamic Logistic Regression

2024-7-16

FUSION3D: Multimodal Data Fusion for 3D Shape Reconstruction - A Soft Sensing Approach

2024-7-9

Smartformer: An Intelligent Transformer Compression Framework for Time-Series Modeling

2024-7-9

A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals

2024-7-3

Project Selection and Scheduling with Multiplicative Enhancement Effects and Delay Risk: An Application in Intelligent Manufacturing Technologies

2024-7-2

Process Monitoring for Covariance Matrixes with Latent Structures

2024-7-1

Service-level computation in time-varying queueing system with priorities: Application to physician staffing in the emergency department

2024-6-28

Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things

2024-6-18

Data-driven Contract Design for Supply Chain Coordination with Algorithm Sharing and Algorithm Competition

2024-5-30

Anomaly Detection in PV Systems using Constrained Low-Rank and Sparse Decomposition

2024-5-10

Impact of Sharing Imprecise Information on Fixed-Bin Selective Assembly

2024-5-9

Online Nonparametric Process Monitoring for IoT Systems Using Edge Computing

2024-5-7

A Nonlinear Quantile Regression for Accelerated Destructive Degradation Testing Data

2024-5-3

Scheduling policies to minimize abandonment costs in infomercial call centers

2024-5-2

Contributions to AI and Machine Learning for Manufacturing

2024-5-2

Image-based novel fault detection with deep learning classifiers using hierarchical labels

2024-5-2

Minimum-Cost Ordering for Selective Assembly

2024-4-26

Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling

2024-4-22

Simultaneous Optimal Control of Directional Missed Discovery Rates in Data Stream Diagnosis

2024-4-22

Simultaneous treatment effect estimation and variable selection for observational data

2024-4-16

Quantifying the benefits of increasing decision-making frequency for health applications with regular decision epochs

2024-4-10

Adaptive sequential procedures for quantile selection with importance sampling

2024-4-8

Differentially Private Distributed Estimation and Learning

2024-3-29

Inspection policy optimization for hierarchical multistate systems under uncertain mission scenarios: A risk-averse perspective

2024-3-28

Iteration complexity and finite-time efficiency of adaptive sampling trust-region methods for stochastic derivative-free optimization

2024-3-27

Sequencing heterogeneous orders in Bucket Brigade order-picking lines

2024-3-18

The impact of resource sharing on the design of multi-client warehouses

2024-3-18

Variational inference based transfer learning for profile monitoring with incomplete data

2024-3-18

Integrated system dynamics modeling and optimization for artisanal and small-scale gold supply chains

2024-3-15

Deep Gaussian process for enhanced Bayesian optimization and its application in additive manufacturing

2024-3-11

How marginal value of time influences optimality when remanufacturing to multiple generations

2024-3-7

Distribution-free image monitoring with application to battery coating process

2024-2-29

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IISE Transactions

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最新文章

A Partial Domain Generalization Method for Modeling Multiple Multistage Manufacturing Processes

SmartFixture: Physics-guided Reinforcement Learning for Automatic Fixture Layout Design in Manufacturing Systems

High-Dimensional Categorical Process Monitoring: A Data Mining Approach

Nondestructive Fatigue Life Prediction for Additively Manufactured Metal Parts through a Multimodal Transfer Learning Framework

A Profit Maximization Problem of Equipment Rental and Scheduling with Split Services

A two-stage stochastic programming model for electric substation flood mitigation prior to an imminent hurricane

Information-Directed Policy Sampling for Episodic Bayesian Markov Decision Processes

A Multivariate Student- <i>t</i> Process Model for Dependent Tail-weighted Degradation Data

An unsupervised embedding method based on streaming videos for process monitoring in repetitive production systems

Multi-Laser Scan Assignment and Scheduling Optimization for Large Scale Metal Additive Manufacturing

Tensor-Based Statistical Learning Methods for Diagnosing Product Quality Defects in Multistage Manufacturing Processes

Optimizing the fleet of emergency medical service vehicles

MFRL-BI: Design of a Model-free Reinforcement Learning Process Control Scheme by Using Bayesian Inference

Courier routing for a new last-mile logistics service

Design of unreliable flow lines: How to jointly allocate buffer space and spare parts

Robust Radiotherapy Planning with Spatially Based Uncertainty Sets

Robust Optimization Approaches in Inventory Management: Part B - The Comparative Study

Robust Optimization Approaches in Inventory Management: Part A - The Survey

Efficient Estimation and Selection for Regularized Dynamic Logistic Regression

FUSION3D: Multimodal Data Fusion for 3D Shape Reconstruction - A Soft Sensing Approach

Smartformer: An Intelligent Transformer Compression Framework for Time-Series Modeling

A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals

Project Selection and Scheduling with Multiplicative Enhancement Effects and Delay Risk: An Application in Intelligent Manufacturing Technologies

Process Monitoring for Covariance Matrixes with Latent Structures

Service-level computation in time-varying queueing system with priorities: Application to physician staffing in the emergency department

Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things

Data-driven Contract Design for Supply Chain Coordination with Algorithm Sharing and Algorithm Competition

Anomaly Detection in PV Systems using Constrained Low-Rank and Sparse Decomposition

Impact of Sharing Imprecise Information on Fixed-Bin Selective Assembly

Online Nonparametric Process Monitoring for IoT Systems Using Edge Computing

A Nonlinear Quantile Regression for Accelerated Destructive Degradation Testing Data

Scheduling policies to minimize abandonment costs in infomercial call centers

Contributions to AI and Machine Learning for Manufacturing

Image-based novel fault detection with deep learning classifiers using hierarchical labels

Minimum-Cost Ordering for Selective Assembly

Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling

Simultaneous Optimal Control of Directional Missed Discovery Rates in Data Stream Diagnosis

Simultaneous treatment effect estimation and variable selection for observational data

Quantifying the benefits of increasing decision-making frequency for health applications with regular decision epochs

Adaptive sequential procedures for quantile selection with importance sampling

Differentially Private Distributed Estimation and Learning

Inspection policy optimization for hierarchical multistate systems under uncertain mission scenarios: A risk-averse perspective

Iteration complexity and finite-time efficiency of adaptive sampling trust-region methods for stochastic derivative-free optimization

Sequencing heterogeneous orders in Bucket Brigade order-picking lines

The impact of resource sharing on the design of multi-client warehouses

Variational inference based transfer learning for profile monitoring with incomplete data

Integrated system dynamics modeling and optimization for artisanal and small-scale gold supply chains

Deep Gaussian process for enhanced Bayesian optimization and its application in additive manufacturing

How marginal value of time influences optimality when remanufacturing to multiple generations

Distribution-free image monitoring with application to battery coating process

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