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Annals of Operations Research
1997 - 2025
Current editor(s): Endre Boros From Springer Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 340, month 9, 2024
- Reliability and statistical computing pp. 1-1

- Hoang Pham
- Reliability and maintenance modeling for a production system by means of point process observations pp. 3-26

- Reza Ahmadi
- Discrete half-logistic distributions with applications in reliability and risk analysis pp. 27-57

- Alessandro Barbiero and Asmerilda Hitaj
- On cumulative residual extropy of coherent and mixed systems pp. 59-81

- Siddhartha Chakraborty and Biswabrata Pradhan
- Software dependability analysis under neutrosophic environment using optimized Elman recurrent neural network-based classification algorithm and Mahalanobis distance-based ranking algorithm pp. 83-115

- Subhashis Chatterjee and Deepjyoti Saha
- Simulation-based system reliability estimation of a multi-state flow network for all possible demand levels pp. 117-132

- Ping-Chen Chang, Ding-Hsiang Huang and Cheng-Fu Huang
- Confidence-interval-based fuzzy supplier selection model with lifetime performance index pp. 133-147

- Kuen-Suan Chen and Chun-Min Yu
- Developing a novel fuzzy testing model for capability index with asymmetric tolerances pp. 149-162

- Kuen-Suan Chen and Chun-Min Yu
- Fuzzy evaluation of product reliability based on ratio-based lifetime performance index pp. 163-180

- Kuen-Suan Chen, Chun-Min Yu, Tsang-Chuan Chang and Hsuan-Yu Chen
- Effect of change in environment on reliability growth modeling integrating fault reduction factor and change point: a general approach pp. 181-215

- Vikas Dhaka and Nidhi Nijhawan
- Data-driven reliability and resilience measure of transportation systems considering disaster levels pp. 217-243

- Hongyan Dui, Kaixin Liu and Shaomin Wu
- Maintenance optimization in a digital twin for Industry 4.0 pp. 245-269

- Abhijit Gosavi and Vy K. Le
- A reliability prediction model for a multistate cloud/edge-based network based on a deep neural network pp. 271-287

- Ding-Hsiang Huang, Cheng-Fu Huang and Yi-Kuei Lin
- Failure mode and effect analysis by exploiting text mining and multi-view group consensus for the defect detection of electric vehicles in social media data pp. 289-324

- Decui Liang, Fangshun Li and Xinyi Chen
- An efficient partial sampling inspection for lot sentencing based on process yield pp. 325-344

- Shih-Wen Liu and Chien-Wei Wu
- Improving reliability with optimal allocation of maintenance resources: an application to power distribution networks pp. 345-365

- Mateus Martin, Fabio Luiz Usberti and Christiano Lyra
- Comparisons of coherent systems with active redundancy and component lifetimes following the proportional odds model pp. 367-387

- Arindam Panja, Pradip Kundu and Biswabrata Pradhan
- Availability contracts under hierarchical maintenance pp. 389-423

- Pradipta Patra and U. Dinesh Kumar
- Two sample Bayesian acceptance sampling plan pp. 425-449

- Deepak Prajapati, Shuvashree Mondal and Debasis Kundu
- A mathematical maintenance model for a production system subject to deterioration according to a stochastic geometric process pp. 451-478

- Hasan Rasay, Fariba Azizi and Farnoosh Naderkhani
- Smart junction: advanced zone-based traffic control system with integrated anomaly detector pp. 479-506

- Krishnendhu S. P., Prabu Mohandas and Srijith C. S.
- Extended replacement policy for a system under shocks effect pp. 507-530

- Shey-Huei Sheu, Tzu-Hsin Liu, Wei-Teng Sheu, Yu-Hung Chien and Zhe-George Zhang
- Stochastic debugging based reliability growth models for Open Source Software project pp. 531-569

- Shakshi Singhal, P. K. Kapur, Vivek Kumar and Saurabh Panwar
- Dynamic travel time prediction with spatiotemporal features: using a GNN-based deep learning method pp. 571-591

- Dujuan Wang, Jiacheng Zhu, Yunqiang Yin, Joshua Ignatius, Xiaowen Wei and Ajay Kumar
- Optimum design and replacement policies for k-out-of-n systems with deviation time and cost pp. 593-617

- Junyuan Wang, Xufeng Zhao and Jiawei Xiang
- A double sampling plan for truncated life tests under two-parameter Lindley distribution pp. 619-641

- Chien-Wei Wu, Armin Darmawan and Nien-Yun Wu
- A hybrid method to solve reliability-cost-oriented bi-objective machine configuration problem for a flow shop system pp. 643-669

- Cheng-Ta Yeh, Louis Cheng-Lu Yeng, Yi-Kuei Lin and Yu-Lun Chao
- Reliability evaluation of production systems with finite buffers subject to time-dependent and operation-dependent failures pp. 671-691

- Ding Zhang, Yi Luo and Qiang Liu
- Measuring the system resilience of project portfolio network considering risk propagation pp. 693-721

- Xingqi Zou, Qing Yang, Qinru Wang and Bin Jiang
- Developing operational resilience to navigate transportation disruptions: the role and boundaries of efficiency priority pp. 723-755

- Henry Ataburo, Getrude Effah Ampong and Dominic Essuman
- Allocation rules for communication situations with incompatibilities pp. 757-784

- Manuela Basallote, José M. Gallardo, Carmen Hernández-Mancera and Andrés Jiménez-Losada
- Positivity and convexity in incomplete cooperative games pp. 785-809

- Martin Černý, Jan Bok, David Hartman and Milan Hladík
- Projection methods for finding the greatest element of the intersection of max-closed convex sets pp. 811-836

- Tomáš Dlask
- Percentile optimization in multi-armed bandit problems pp. 837-862

- Zahra Ghatrani and Archis Ghate
- Pricing heterogeneous products to heterogeneous customers who buy sequentially pp. 863-890

- Refael Hassin and Justo Puerto
- Monitoring of group-structured high-dimensional processes via sparse group LASSO pp. 891-911

- Sangahn Kim, Mehmet Turkoz, Myong K. Jeong and Elsayed A. Elsayed
- A game-decision-theoretic approach to optimize the dynamic credit terms in supply chain finance pp. 913-941

- Haitao Li, Wenguang Tang and Liuqing Mai
- The allowable value for cooperative games with restricted permutations pp. 943-959

- Xianghui Li, Bin Jiang and Yang Li
- Decision-making and performance of the agricultural supply chain: risk-neutral farmer vs target-oriented farmer pp. 961-980

- Luqi Qin and Erbao Cao
- A robust reverse pharmaceutical supply chain design considering perishability and sustainable development objectives pp. 981-1033

- Fatemeh Shekoohi Tolgari and Naeme Zarrinpoor
- Impact of gray markets on strategic channel choice and social welfare pp. 1035-1062

- Abhishek Srivastava, Arqum Mateen, Gopalakrishnan Narayanamurthy, Suman Niranjan and Ashutosh Sarkar
- Mediating role of green talent management between green strategic orientation and sustainable supply chain performance among SMEs of Oman pp. 1063-1089

- Umair Waqas, Sonia Umair, Beata Mrugalska, Ibrahim Rashid Shamsi and IIya Bystrov
- Optimality analysis and duality conditions for a class of conic semi-infinite program having vanishing constraints pp. 1091-1123

- Tamanna Yadav, S. K. Gupta and Sumit Kumar
- Extension of the Directed Search Domain algorithm for multi-objective optimization to higher dimensions pp. 1125-1160

- Boxi Yu and Sergey Utyuzhnikov
- Data analytics-based auditing: a case study of fraud detection in the banking context pp. 1161-1188

- Jean Robert Kala Kamdjoug, Hyacinthe Djanan Sando, Jules Raymond Kala, Arielle Ornela Ndassi Teutio, Sunil Tiwari and Samuel Fosso Wamba
- A new mathematical model for designing and improving the performance of a home health care logistics network pp. 1189-1220

- Esmaeil Akhondi-Bajegani, F. Jolai and S. Ali Torabi
- Queueing-inventory: analytical and simulation modeling and classical and retrial queues and inventory pp. 1221-1224

- Achyutha Krishnamoorthy, Srinivas R. Chakravarthy, Agassi Melikov and Viswanath C. Narayanan
Volume 339, month 8, 2024
- Deep learning applications in operations research pp. 1-2

- Ajay Kumar, Alexandra Brintrup, Eric W. T. Ngai, Ravi Shankar and Myong K. Jeong
- Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary survey pp. 3-51

- Mohamed Abdel-Basset, Victor Chang, Hossam Hawash, Ripon K. Chakrabortty and Michael Ryan
- Great partners: how deep learning and blockchain help improve business operations together pp. 53-78

- Suyuan Luo and Tsan-Ming Choi
- A deep reinforcement learning assisted simulated annealing algorithm for a maintenance planning problem pp. 79-110

- Fuat Kosanoglu, Mahir Atmis and Hasan Hüseyin Turan
- Root cause analysis of manufacturing variation from optical scanning data pp. 111-130

- Anh Tuan Bui
- The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods pp. 131-161

- Sule Birim, Ipek Kazancoglu, Sachin Kumar Mangla, Aysun Kahraman and Yigit Kazancoglu
- Examining the impact of deep learning technology capability on manufacturing firms: moderating roles of technology turbulence and top management support pp. 163-183

- Sheshadri Chatterjee, Ranjan Chaudhuri, Demetris Vrontis and Thanos Papadopoulos
- Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing pp. 185-201

- Jeongsub Choi, Mengmeng Zhu, Jihoon Kang and Myong K. Jeong
- A data-driven spatially-specific vaccine allocation framework for COVID-19 pp. 203-226

- Zhaofu Hong, Yingjie Li, Yeming Gong and Wanying Chen
- A global forecasting method of heterogeneous household short-term load based on pre-trained autoencoder and deep-LSTM model pp. 227-259

- Wenhui Zhao, Tong Li, Danyang Xu and Zhaohua Wang
- Multichannel convolution neural network for gas mixture classification pp. 261-295

- YongKyung Oh, Chiehyeon Lim, Junghye Lee, Sewon Kim and Sungil Kim
- Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales pp. 297-328

- Md. Iftekharul Alam Efat, Petr Hajek, Mohammad Zoynul Abedin, Rahat Uddin Azad, Md. Al Jaber, Shuvra Aditya and M. Kabir Hassan
- Identifying purchase intention through deep learning: analyzing the Q &D text of an E-Commerce platform pp. 329-348

- Jing Ma, Xiaoyu Guo and Xufeng Zhao
- Forecasting commodity prices: empirical evidence using deep learning tools pp. 349-367

- Hachmi Ben Ameur, Sahbi Boubaker, Zied Ftiti, Wael Louhichi and Kais Tissaoui
- Does the energy sector serve as a hedge and safe haven? pp. 369-395

- A. S. M. Sohel Azad, Aziz Hayat and Huson Joher Ali Ahmed
- End-to-end risk budgeting portfolio optimization with neural networks pp. 397-426

- A. Sinem Uysal, Xiaoyue Li and John M. Mulvey
- A data-driven system for cooperative-bus route planning based on generative adversarial network and metric learning pp. 427-453

- Jiguang Wang, Yilun Zhang, Xinjie Xing, Yuanzhu Zhan, Wai Kin Victor Chan and Sunil Tiwari
- Enhancing deep learning algorithm accuracy and stability using multicriteria optimization: an application to distributed learning with MNIST digits pp. 455-475

- Davide La Torre, Danilo Liuzzi, Marco Repetto and Matteo Rocca
- COVID-19 vaccine hesitancy: a social media analysis using deep learning pp. 477-515

- Serge Nyawa, Dieudonné Tchuente and Samuel Fosso-Wamba
- An improved transformer model with multi-head attention and attention to attention for low-carbon multi-depot vehicle routing problem pp. 517-536

- Yang Zou, Hecheng Wu, Yunqiang Yin, Lalitha Dhamotharan, Daqiang Chen and Aviral Tiwari
- Incorporating causality in energy consumption forecasting using deep neural networks pp. 537-572

- Kshitij Sharma, Yogesh K. Dwivedi and Bhimaraya Metri
- A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making pp. 573-612

- Carlos Galera-Zarco and Goulielmos Floros
- Improving the predictive accuracy of the cross-selling of consumer loans using deep learning networks pp. 613-630

- Noureddine Boustani, Ali Emrouznejad, Roya Gholami, Ozren Despic and Athina Ioannou
- Incorporating topic membership in review rating prediction from unstructured data: a gradient boosting approach pp. 631-662

- Nan Yang, Nikolaos Korfiatis, Dimitris Zissis and Konstantina Spanaki
- Management of resource sharing in emergency response using data-driven analytics pp. 663-692

- Jifan Zhang, Salih Tutun, Samira Fazel Anvaryazdi, Mohammadhossein Amini, Durai Sundaramoorthi and Hema Sundaramoorthi
- Collaborative truck multi-drone delivery system considering drone scheduling and en route operations pp. 693-739

- Teena Thomas, Sharan Srinivas and Chandrasekharan Rajendran
- Data-driven optimization models for inventory and financing decisions in online retailing platforms pp. 741-764

- Bingnan Yang, Xianhao Xu, Yeming Gong and Yacine Rekik
- Exploiting time-varying RFM measures for customer churn prediction with deep neural networks pp. 765-787

- Gary Mena, Kristof Coussement, Koen W. Bock, Arno Caigny and Stefan Lessmann
- High-dimensional stochastic control models for newsvendor problems and deep learning resolution pp. 789-811

- Jingtang Ma and Shan Yang
- Efficient visibility algorithm for high-frequency time-series: application to fault diagnosis with graph convolutional network pp. 813-833

- Sangho Lee, Jeongsub Choi and Youngdoo Son
- Role of land use in China’s urban energy consumption: based on a deep clustering network and decomposition analysis pp. 835-859

- Wei Fan, Chunxia Zhu, Lijun Fu, Charbel Jose Chiappetta Jabbour, Zhiyang Shen and Malin Song
- Forecasting duty-free shopping demand with multisource data: a deep learning approach pp. 861-887

- Dong Zhang, Pengkun Wu, Chong Wu and Eric W. T. Ngai
- IDILIM: incident detection included linear management using connected autonomous vehicles pp. 889-908

- Ilgin Gokasar, Alperen Timurogullari, Sarp Semih Ozkan and Muhammet Deveci
- Automatic MILP solver configuration by learning problem similarities pp. 909-936

- Abdelrahman Hosny and Sherief Reda
- Complex networks and deep learning for copper flow across countries pp. 937-963

- Lorenzo Federico, Ayoub Mounim, Pierpaolo D’Urso and Livia De Giovanni
- The third party logistics provider freight management problem: a framework and deep reinforcement learning approach pp. 965-1024

- Amin Abbasi-Pooya and Michael T. Lash
- Optimizing inland container shipping through reinforcement learning pp. 1025-1050

- Vid Tomljenovic, Yasemin Merzifonluoglu and Giacomo Spigler
- Intermittent demand forecasting with transformer neural networks pp. 1051-1072

- G. Peter Zhang, Yusen Xia and Maohua Xie
- An introduction to robust data analysis and its applications pp. 1073-1075

- Panos M. Pardalos, Hossein Moosaei, Milan Hladík and M. Tanveer
- Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020) pp. 1077-1118

- Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya and U. Rajendra Acharya
- The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning pp. 1119-1148

- S. Liu and L. N. Vicente
- A novel robust network data envelopment analysis approach for performance assessment of mutual funds under uncertainty pp. 1149-1175

- Pejman Peykani, Ali Emrouznejad, Emran Mohammadi and Jafar Gheidar-Kheljani
- Infection vulnerability stratification risk modelling of COVID-19 data: a deterministic SEIR epidemic model analysis pp. 1177-1203

- Ajay Kumar, Tsan-Ming Choi, Samuel Fosso Wamba, Shivam Gupta and Kim Hua Tan
- Robust optimization approaches for portfolio selection: a comparative analysis pp. 1205-1221

- Antonios Georgantas, Michalis Doumpos and Constantin Zopounidis
- Comprehensive review on twin support vector machines pp. 1223-1268

- M. Tanveer, T. Rajani, R. Rastogi, Y. H. Shao and M. A. Ganaie
- Data envelopment analysis model with decision makers’ preferences: a robust credibility approach pp. 1269-1306

- Hashem Omrani, Arash Alizadeh, Ali Emrouznejad and Tamara Teplova
- Value of intermediate imaging in adaptive robust radiotherapy planning to manage radioresistance pp. 1307-1328

- Arkajyoti Roy, Shaunak S. Dabadghao and Ahmadreza Marandi
- Intuitionistic fuzzy least square twin support vector machines for pattern classification pp. 1329-1378

- Scindhiya Laxmi, S. K. Gupta and Sumit Kumar
- Efficiency evaluation with data uncertainty pp. 1379-1403

- Jie Wu, Lulu Shen, Ganggang Zhang, Zhixiang Zhou and Qingyuan Zhu
- When platform exploits data analysis advantage: change of OEM-led supply chain structure pp. 1405-1431

- Ping Yan, Jun Pei, Ya Zhou and Panos M. Pardalos
- Regularized linear discriminant analysis based on generalized capped $$l_{2,q}$$ l 2, q -norm pp. 1433-1459

- Chun-Na Li, Pei-Wei Ren, Yan-Ru Guo, Ya-Fen Ye and Yuan-Hai Shao
- A tensor train approach for internet traffic data completion pp. 1461-1479

- Zhiyuan Zhang, Chen Ling, Hongjin He and Liqun Qi
- Orthogonal nonnegative matrix factorization problems for clustering: A new formulation and a competitive algorithm pp. 1481-1497

- Ja’far Dehghanpour and Nezam Mahdavi-Amiri
- An extended robust mathematical model to project the course of COVID-19 epidemic in Iran pp. 1499-1523

- Reza Lotfi, Kiana Kheiri, Ali Sadeghi and Erfan Babaee Tirkolaee
- Robustification of the k-means clustering problem and tailored decomposition methods: when more conservative means more accurate pp. 1525-1568

- Jan Pablo Burgard, Carina Moreira Costa and Martin Schmidt
- Natural language interactions enhanced by data visualization to explore insurance claims and manage risk pp. 1569-1587

- Md Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca and Guandong Xu
- Applying robust optimization to the shelter location–allocation problem: a case study for Istanbul pp. 1589-1635

- Levent Eriskin and Mumtaz Karatas
- A Benders decomposition algorithm for the multi-mode resource-constrained multi-project scheduling problem with uncertainty pp. 1637-1677

- Maryam Sadeghloo, Saeed Emami and Ali Divsalar
- An integrated multi-objective multi-product inventory managed production planning problem under uncertain environment pp. 1679-1723

- Umar Muhammad Modibbo, Srikant Gupta, Aquil Ahmed and Irfan Ali
- A discussion on the robust vector autoregressive models: novel evidence from safe haven assets pp. 1725-1755

- Le Chang and Yanlin Shi
- Adoption of robust business analytics for product innovation and organizational performance: the mediating role of organizational data-driven culture pp. 1757-1791

- Ranjan Chaudhuri, Sheshadri Chatterjee, Demetris Vrontis and Alkis Thrassou
- Incorporation of gene ontology in identification of protein interactions from biomedical corpus: a multi-modal approach pp. 1793-1811

- Kanchan Jha, Sriparna Saha and Pratik Dutta
- Can diverse and conflicting interests of multiple stakeholders be balanced? pp. 1813-1837

- Miriam F. Bongo and Charlle L. Sy
- Extremal properties of evolving networks: local dependence and heavy tails pp. 1839-1870

- Natalia Markovich
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