Annals of Operations Research最新文献_第5页

Agricultural supply chain warehousing optimization mechanism based on CBA-NGA in the context of edge computing 边缘计算背景下基于CBA-NGA的农产品供应链仓储优化机制

IF 4.5 3区管理学

Annals of Operations Research Pub Date : 2026-06-01 DOI: 10.1007/s10479-026-07133-w

Kaiyang Zhong, Yu Feng, Zehao Wang, Zhiguo Zhong, Yifei Lv

{"title":"Agricultural supply chain warehousing optimization mechanism based on CBA-NGA in the context of edge computing","authors":"Kaiyang Zhong, Yu Feng, Zehao Wang, Zhiguo Zhong, Yifei Lv","doi":"10.1007/s10479-026-07133-w","DOIUrl":"10.1007/s10479-026-07133-w","url":null,"abstract":"<div><p>With the rapid digitalization of agricultural supply chains, optimizing agricultural warehousing through edge computing has gained increasing attention. This study proposes an edge-enabled predictive optimization mechanism for agricultural product warehousing, combining edge computing and a novel CBA-NGA algorithm. Edge devices are deployed for real-time acquisition and local processing of environmental data—such as temperature, humidity, wind speed, and wind direction—providing immediate feedback for warehouse management. A forecasting model based on the CBA-NGA algorithm is constructed to address inventory loss prediction, improving convergence speed and prediction precision over traditional models. Empirical results show that the model reduces mean squared error (MSE) from 33.5614 to 17.1911, demonstrating substantial performance enhancement. Compared to standard CBA methods, the CBA-NGA model offers better adaptation to complex, nonlinear environmental interactions under edge computing conditions. This research contributes to the literature by integrating CNN-BiLSTM-Attention-based predictive modeling with edge intelligence and NGA-based optimization, providing a scalable and adaptive solution for loss prevention in dynamic agricultural storage environments. The findings have practical implications for improving the efficiency, responsiveness, and sustainability of smart warehousing systems in modern agriculture.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"361 3","pages":"1697 - 1716"},"PeriodicalIF":4.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Co-investment under revenue uncertainty based on stochastic coalitional game theory 基于随机联合博弈论的收益不确定性下的共同投资

IF 4.1 3区管理学

Annals of Operations Research Pub Date : 2026-06-01 DOI: 10.1007/s10479-026-07222-w

Amal Sakr, Andrea Araldo, Tijani Chahed, Daniel Kofman

{"title":"Co-investment under revenue uncertainty based on stochastic coalitional game theory","authors":"Amal Sakr, Andrea Araldo, Tijani Chahed, Daniel Kofman","doi":"10.1007/s10479-026-07222-w","DOIUrl":"10.1007/s10479-026-07222-w","url":null,"abstract":"<div><p>The introduction of new services, such as Mobile Edge Computing (MEC), requires a massive investment that cannot be assumed by a single stakeholder, for instance the Infrastructure Provider (<i>InP</i>). Service Providers (SPs) however also have an interest in the deployment of such services. We hence propose a co-investment scheme in which all stakeholders, i.e., the <i>InP</i> and the SPs, form the so-called grand coalition composed of all the stakeholders with the aim of sharing costs and revenues and maximizing their payoffs. The challenge comes from the fact that future revenues are uncertain. We devise in this case a novel stochastic coalitional game formulation which builds upon robust game theory and derive a lower bound on the probability of the stability of the grand coalition, wherein no player can be better off outside of it. In the presence of highly dependent fluctuations of revenues however, stability can be too conservative. In this case, we make use also of profitability, in which payoffs of players are non-negative, as a necessary condition for co-investment, and we derive a lower bound on the probability that co-investment is profitable. The proposed framework is showcased for MEC deployment, where computational resources need to be deployed in nodes at the edge of a telecommunication network. Numerical results show high lower bound on the probability of stability when the SPs’ revenues are of similar magnitude, even with high levels of uncertainty. In the case where revenues are highly variable however, the lower bound on stability can be trivially low whereas co-investment is still profitable.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"362 1-3","pages":"293 - 355"},"PeriodicalIF":4.1,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148394905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing accuracy and diversity: a multi-task approach to forecast combinations 优化准确性和多样性：预测组合的多任务方法

IF 4.1 3区管理学

Annals of Operations Research Pub Date : 2026-05-30 DOI: 10.1007/s10479-026-07291-x

Giovanni Felici, Antonio M. Sudoso

{"title":"Optimizing accuracy and diversity: a multi-task approach to forecast combinations","authors":"Giovanni Felici, Antonio M. Sudoso","doi":"10.1007/s10479-026-07291-x","DOIUrl":"10.1007/s10479-026-07291-x","url":null,"abstract":"<div><p>We present a multi-task optimization approach based on a deep learning architecture for time series forecasting. We leverage large collections of time series to identify the weights of forecasting models that can be combined to produce forecasts for each series. This method jointly addresses two tasks: the selection of different forecasting models, and their effective combination. In doing so, it keeps into account, in an original way, both the accuracy and diversity of the forecasting methods. For a given time series, the model combination module extracts features and uses them to optimize the weights of the forecasting methods. Simultaneously, the model selection module extracts other features to identify the subset of methods to be used for the prediction. This selection process is framed as a classification problem, with the labels representing the set of models to be used for a series. These labels are determined by solving an auxiliary optimization problem that identifies accurate and diverse methods for each time series. The outputs of the two modules are then combined and the entire neural network is jointly trained by minimizing a custom loss function via gradient descent optimization. Experimental results on a large set of series from the M4 competition dataset and from real road traffic data show that our proposal enhances point forecast accuracy compared to state-of-the-art methods.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"362 1-3","pages":"493 - 520"},"PeriodicalIF":4.1,"publicationDate":"2026-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-026-07291-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148394797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A heterogeneous ensemble learning framework for detecting acute viral respiratory infections via multisource data fusion 基于多源数据融合的急性呼吸道病毒感染检测的异构集成学习框架

IF 4.1 3区管理学

Annals of Operations Research Pub Date : 2026-05-29 DOI: 10.1007/s10479-026-07264-0

Zhenkun Liu, Koen W. De Bock, Lifang Zhang, Jianzhou Wang, Liang Liang

{"title":"A heterogeneous ensemble learning framework for detecting acute viral respiratory infections via multisource data fusion","authors":"Zhenkun Liu, Koen W. De Bock, Lifang Zhang, Jianzhou Wang, Liang Liang","doi":"10.1007/s10479-026-07264-0","DOIUrl":"10.1007/s10479-026-07264-0","url":null,"abstract":"<div><p>Acute viral respiratory infections (AVRIs), including COVID-19 and SARS, present ongoing public health challenges. Traditional diagnostic methods often rely on limited inputs—typically cough or speech sounds—rarely incorporate self-reported symptoms, and still require clinical visits or medical imaging, leading to higher costs and increased exposure risks. To support affordable, contact-free self-testing, we introduce the heterogeneous ensemble framework with multisource data fusion mechanism. This framework integrates respiratory, cough, and speech audio data with self-reported information. Within this system, deep learning models are employed to extract and analyze audio features for estimating infection probability, while conventional machine learning classifiers handle the self-reported data. Finally, predictions from both data types are combined using a meta-learning strategy to enhance overall detection performance. Experiments on COVID-19 detection validate the proposed framework, and the interpretability analysis reveals the critical predictive features and classifiers. This multisource fusion strategy also provides a transferable foundation for detecting other AVRIs.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"362 1-3","pages":"521 - 551"},"PeriodicalIF":4.1,"publicationDate":"2026-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148394752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A coalitional extension of the ordinal Shapley-Shubik value 序Shapley-Shubik值的联合推广

IF 4.1 3区管理学

Annals of Operations Research Pub Date : 2026-05-29 DOI: 10.1007/s10479-026-07287-7

Alfredo Valencia-Toledo, Juan Vidal-Puga

引用次数: 0

Analytic renewal equation solutions for polynomial-hazard models: explicit construction and error bounds 多项式风险模型的解析更新方程解：显式构造和误差界

IF 4.1 3区管理学

Annals of Operations Research Pub Date : 2026-05-27 DOI: 10.1007/s10479-026-07258-y

Serguei Maximov, Jose G. Tirado-Serrato, Margarita J. Toledo-Vazquez, Alfredo Sanchez

{"title":"Analytic renewal equation solutions for polynomial-hazard models: explicit construction and error bounds","authors":"Serguei Maximov, Jose G. Tirado-Serrato, Margarita J. Toledo-Vazquez, Alfredo Sanchez","doi":"10.1007/s10479-026-07258-y","DOIUrl":"10.1007/s10479-026-07258-y","url":null,"abstract":"<div><p>This paper develops an analytic solution framework for renewal equations arising from lifetime distributions with polynomial cumulative hazard functions. The approach builds on a recently developed inference framework for such models, enabling a consistent transition from parameter estimation to dynamic reliability analysis. Recasting the renewal equation using a zero-mass kernel yields a constructive representation of the renewal density. We show that the solution admits a decomposition into an explicit baseline term and a finite polynomial correction multiplied by the survival function. The correction coefficients are obtained from a lower-triangular linear system, providing a computable alternative to classical series expansions. A uniform error bound with stretched-exponential decay is established, together with a principled criterion for selecting the polynomial order. A case study involving circuit breaker reliability, based on Weibull parameters reported in the literature, demonstrates that the analytic approximation <b>closely matches numerical</b> convolution-based solutions while enabling efficient evaluation in maintenance cost calculations. The proposed framework provides a tractable analytic alternative to numerical methods and supports repeated evaluation scenarios arising in reliability analysis and maintenance planning.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"364 3","pages":"3131 - 3175"},"PeriodicalIF":4.1,"publicationDate":"2026-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148965328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing efficiency and workflow in oncology outpatient services through simulation-based optimization 通过模拟优化提高肿瘤门诊服务的效率和工作流程

IF 4.1 3区管理学

Annals of Operations Research Pub Date : 2026-05-26 DOI: 10.1007/s10479-026-07181-2

Chenhao Zhou, Xin Ding, Weiwei Chen, Lei Lei, Jacqueline Norrell, Alison Tray, Andrew M. Evens

{"title":"Enhancing efficiency and workflow in oncology outpatient services through simulation-based optimization","authors":"Chenhao Zhou, Xin Ding, Weiwei Chen, Lei Lei, Jacqueline Norrell, Alison Tray, Andrew M. Evens","doi":"10.1007/s10479-026-07181-2","DOIUrl":"10.1007/s10479-026-07181-2","url":null,"abstract":"<div><p>Outpatient chemotherapy clinics face rising demand and growing patient dissatisfaction, creating pressures to improve efficiency while sustaining quality care. This study uses an agent-based simulation of a National Cancer Institute (NCI)-designated cancer center’s infusion clinic to evaluate the effectiveness of three proposed operational changes: setting up an on-site laboratory, adapting nurse staffing based on anticipated demand increases, and balancing appointment scheduling via simulation optimization. The model, calibrated with historical data, tracks patient visit length and nurse utilization. Our study shows that combining an on-site lab with optimized scheduling reduces average visit length by about 75–90 minutes (approximately 30%) under various demand levels, smoothing workflow peaks. The study also shows that modest increases in nursing staff ensure timely patient throughput with 7–10% decreases in nurse utilization. Joint implementation of these operational changes outperforms individual changes, highlighting important synergies and the value of an integrated operations strategy. Overall, the study demonstrates a generalizable simulation-based framework to guide oncology process redesign and strategic decisions such as capacity expansion or facility relocation.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"362 1-3","pages":"457 - 482"},"PeriodicalIF":4.1,"publicationDate":"2026-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-026-07181-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148394773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A coupled task scheduling approximation algorithm for minimizing the sum of completion times 最小化完成时间总和的耦合任务调度近似算法

IF 4.1 3区管理学

Annals of Operations Research Pub Date : 2026-05-21 DOI: 10.1007/s10479-026-07261-3

József Békési, György Dósa, Gábor Galambos

引用次数: 0

Credit risk modeling innovations in a changing world 变化世界中的信用风险模型创新

IF 4.5 3区管理学

Annals of Operations Research Pub Date : 2026-05-20 DOI: 10.1007/s10479-026-07278-8

Galina Andreeva, Jonathan Crook, Christophe Mues

引用次数: 0

Interval extensions of the Owen value in a cooperative game with a coalition structure and augmenting system 具有联盟结构和增广系统的合作对策中欧文值的区间扩展