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Robust assessment of life insurance products Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-23 Carole Bernard, Corrado De Vecchi, Steven Vanduffel
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Value of loan credit insurance in the capital-constrained supply chain Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-22 Hechen Zhong, Nina Yan, Jizhou Lu, Kin Keung Lai
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Enhanced branch-and-bound algorithm for chance constrained programs with Gaussian mixture models Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-22 Jinxiang Wei, Zhaolin Hu, Jun Luo, Shushang Zhu
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Designing a reliable-sustainable supply chain network: adaptive m-objective ε-constraint method Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-22 Arash Sepehri, Erfan Babaee Tirkolaee, Vladimir Simic, Sadia Samar Ali
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Cub model-based clustering of Likert-type data with a tourist satisfaction application Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-20 Nicolò Biasetton, Pierpaolo D’Urso, Marta Disegna, Luigi Salmaso
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The impacts of green credit guidelines on total factor productivity of heavy-polluting enterprises: A quasi-natural experiment from China Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-18 Xiaoling Wang, Yiting Han, Baofeng Shi, Mohammad Zoynul Abedin
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Five themes of U.S. home price cycles: a dynamic modelling approach Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-18 Ramaprasad Bhar, A. G. Malliaris, Mary Malliaris, Mark S. Rzepczynski
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A mathematical maintenance model for a production system subject to deterioration according to a stochastic geometric process Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-18 Hasan Rasay, Fariba Azizi, Farnoosh Naderkhani
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Decisions for power battery closed-loop supply chain: cascade utilization and extended producer responsibility Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-18 Yuting Yan, Jian Cao, Yun Zhou, Gengui Zhou, Jinyi Chen
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An experimental design for comparing interactive methods based on their desirable properties Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-17 Bekir Afsar, Johanna Silvennoinen, Francisco Ruiz, Ana B. Ruiz, Giovanni Misitano, Kaisa Miettinen
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Multi-period portfolio selection with interval-based conditional value-at-risk Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-17 Alvaro A. Gomez, Giorgio Consigli, Jia Liu
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Artificial intelligence driven demand forecasting: an application to the electricity market Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-17 Marco Repetto, Cinzia Colapinto, Muhammad Usman Tariq
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An integrated HPF-TODIM-MULTIMOORA approach for car selection through online reviews Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-16 Dun Liu, Jie Xu, Yinfeng Du
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Robust sourcing contract design for the manufacturer under supply risk Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-16 Yi Li, Yuxin Yao, Kin Keung Lai
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The profitability-sustainability trade-off in complex chemical value chains Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-15 Matteo Cosmi, Joachim Arts, Steffen Klosterhalfen
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Contract manufacturer encroachment and its impact on OEM’s sales mode and social welfare in a platform-based supply chain Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-15 Bin Liu, Peng Liu, Yuelin Shen
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Classification and estimation of case-mix adjusted performance indices for binary outcomes Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-15 Marco Doretti, Giorgio E. Montanari
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Flexible supply-demand matching mechanism for C2B crowdsourcing logistics platforms with heterogeneous environment-inclined merchants Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-14 Shanyong Wang, Shiqiang Li, Haonan He, Qi Zhou
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Autoregressive conditional dynamic semivariance models with value-at-risk estimates Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-12 Sree Vinutha Venkataraman
A variant of the autoregressive conditional heteroscedastic (ARCH) process called as autoregressive conditional dynamic semivariance process (ARCDS) that closely relates to semivariance in the residuals is introduced and in the volatility formulation. As in ARCH formulation, the conditional volatility varies over time. The conditions for stationarity and regularity for the ARCDS process and the information
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Sustainable supply chain evaluation with supplier sustainability in terms of reliability Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-11 Kuan-Yu Lin, Yi-Kuei Lin
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Project management and scheduling 2022 Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-11 Tom Servranckx, José Coelho, Mario Vanhoucke
This article summarises the research studies published in the special issue on Project Management and Scheduling devoted to the 18th International Conference on Project Management and Scheduling (PMS). The special issue contains state-of-the art research in the field of (non-)robust project and machine scheduling and the contribution of each individual study to the academic literature are discussed
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An upper bound for the inter-exit time of two jobs in an m-machine flow shop Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-11 Marcello Urgo, Massimo Manzini
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Financial sustainability and automatic balance mechanisms for NDC pension systems with disability benefits Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-10 Susanna Levantesi, Massimiliano Menzietti, Lorenzo Fratoni
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A Benders decomposition approach for a new sustainable pharmaceutical supply chain network: a case study in France Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-09 Fariba Goodarzian, Ajith Abraham, Jesús Muñuzuri, Atour Taghipour, Peiman Ghasemi
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Arc-dependent networks: theoretical insights and a computational study Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-09 Alvaro Velasquez, P. Wojciechowski, K. Subramani, Matthew Williamson
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A multi-objective model for the assessment of potential environmental risk using big data covering air quality Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-09 Yinghao Pan, Zhixiang Zhou, Jie Wu
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OWA-based multi-criteria decision making based on fuzzy methods Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-09 Pierpaolo D’Urso, Jalal Chachi, Ahmad Kazemifard, Livia De Giovanni
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Developing a novel fuzzy testing model for capability index with asymmetric tolerances Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-08 Kuen-Suan Chen, Chun-Min Yu
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Semi-Markov control models for systems of large populations of interacting objects with possible unbounded costs: a mean field approach Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-08 M. Elena Martínez-Manzanares, J. Adolfo Minjárez-Sosa
This paper is about optimal control problems associated to stochastic systems composed of a large number of N (\(N\sim \infty \)) interacting objects (e.g., particles, agents, data, etc.) evolving among a finite or countable set of classes or categories according to a semi-Markov process. Such systems are modeled by a control model \(\mathcal{S}\mathcal{M}_{N}\) where the states are vectors whose components
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Disaster relief supply chain network planning under uncertainty Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-08 Gang Wang
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A double sampling plan for truncated life tests under two-parameter Lindley distribution Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-08 Chien-Wei Wu, Armin Darmawan, Nien-Yun Wu
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A joint sustainable order-packing vehicle routing optimisation for the cold chain e-fulfilment Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-06 Y. P. Tsang, Haoran Ma, K. H. Tan, C. K. M. Lee
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Integrated preventive–proactive–reactive offshore wind farms maintenance planning Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-05 Grzegorz Bocewicz, Rasmus Dovnborg Frederiksen, Peter Nielsen, Zbigniew Banaszak
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Improving triple bottom line (TBL) performance: analyzing impacts of industry 4.0, lean six sigma and circular supply chain management Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-05 Saumyaranjan Sahoo, Arvind Upadhyay
The primary objective of the article is to scrutinize the potential benefits of amalgamating industry 4.0 technologies, lean six sigma practices (LSSP), and circular supply chain management (CSCM) to augment overall performance across economic, environmental, and social dimensions, commonly referred to as the triple bottom line. The research uses survey methodology to collect data from senior-level
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A scenario-based robust optimization model for the sustainable distributed permutation flow-shop scheduling problem Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-05 Amir M. Fathollahi-Fard, Lyne Woodward, Ouassima Akhrif
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Variational approach for a technology acquisition strategy model in context of the Internet of Things Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-04
Abstract In the era of highly dynamicity and uncertainty, it is of great importance to analyze the strategic decision process for companies’ technology acquisition between internal and external. In particular, the Internet of Things (IoT) has emerged as one of the crucial technologies that contribute to the resiliency and flexibility of companies willing to remain competitive in the markets. Despite
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Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-03
Abstract In the rapidly evolving landscape of manufacturing, the ability to make accurate predictions is crucial for optimizing processes. This study introduces a novel framework that combines predictive uncertainty with explanatory mechanisms to enhance decision-making in complex systems. The approach leverages Quantile Regression Forests for reliable predictive process monitoring and incorporates
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Endorsers measurement for decarbonised processed food supply chain through newly befitted interval valued neutrosophic vague sets Ann. Oper. Res. (IF 4.8) Pub Date : 2024-04-03
Abstract Nowadays, the efforts to achieve carbon neutrality are getting much significance. The demand for processed food items is increasing, to fulfil the same substantial carbon footprint is generated. Hence, the decarbonisation prospects need to be explored for the existing network of the food supply chain. Owing to the same, the presented work identifies and analyses the dimension of endorsers
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Reliable design of humanitarian supply chain under correlated disruptions: a two-stage distributionally robust approach Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-28 ChangJun Wang, Li-Meng-Tao Zhong
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Robust portfolio optimization with fuzzy TODIM, genetic algorithm and multi-criteria constraints Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-27
Abstract This paper adopts the multi-criterion decision-making model of fuzzy-TODIM and genetic algorithm (GA) for optimal portfolio allocation. We applied Markowitz’s portfolio parameters as inputs for the fuzzy TODIM model to rank stocks that are constituents of each index from three different markets. Portfolios are then generated dynamically using three weighting techniques and subject to multi-objective
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Mitigating bullwhip effect in supply chains by engaging in digital transformation: the moderating role of customer concentration Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-26 Feng Liu, Mingjie Fang, Shufeng Xiao, Yangyan Shi
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Optimizing inland container shipping through reinforcement learning Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-26 Vid Tomljenovic, Yasemin Merzifonluoglu, Giacomo Spigler
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Revenue maximization for multiple advertisements placement on a web banner using a pixel-price model Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-24 Edmar Langendoen, Flavius Frasincar, Mark Riezebos, Vladyslav Matsiiako, David Boekestijn
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Inventory models for non-instantaneous deteriorating items with expiration dates under the joined effect of preservation technology and linearly time-dependent holding cost when order-size linked to advance payment Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-22 Jui-Jung Liao, H. M. Srivastava, Shy-Der Lin
The aim of this study is to investigate a joint replenishment and preservation technology investment problem for non-instantaneous deteriorating items in which preservation technology investment affects not only the deterioration rate but also the length of the non-deterioration period. Regarding efforts towards delaying the deterioration process, the longer these items are kept in storage, the higher
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Coordination mechanism of integrative humanitarian-business partnership for relief supplies with the consideration of public engagement amidst the Coronavirus Disease 2019 pandemic Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-22 Fanshun Zhang, Hao Huang, Cejun Cao, Qin Yang
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Analysis of a time–cost trade-off in a resource-constrained GERT project scheduling problem using the Markov decision process Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-21 Shadi Sadri, S. M. T. Fatemi Ghomi, Amin Dehghanian
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Fixed-income average options: a pricing approach based on Gaussian mean-reverting cyclical models Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-21 Belén León-Pérez, Manuel Moreno
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Mathematical programming-based methodology for the evaluation of supply chain collaborative planning scenarios Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-21
Abstract Nowadays, supply chain (SC) decentralised decision making is the most usual situation in SC operations planning. In this context, different companies can collaboratively plan to achieve a certain level of individual and SC performance. However in many cases, there is reluctance to collaborate because it is not known a priori which benefits will be reported. This paper aims to develop a mathematical
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A novel two-phase trigonometric algorithm for solving global optimization problems Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-21 A. Baskar, M. Anthony Xavior, P. Jeyapandiarajan, Andre Batako, Anna Burduk
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Synergy level measurement and optimization models for the supply-transmission-demand-storage system for renewable energy Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-20 Shiwei Yu, Limin You, Shuangshuang Zhou, Juan Yang
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Procurement portfolio management for resilient supply chains: value of information for risk averse decision making Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-20 Yasemin Merzifonluoglu
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A comparative analysis of how to handle stockout scenarios: the impact of newsvendor’s risk attitude Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-20 Doran Wood, Sıla Çetinkaya
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Deep reinforcement learning imbalanced credit risk of SMEs in supply chain finance Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-20 Wen Zhang, Shaoshan Yan, Jian Li, Rui Peng, Xin Tian
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A new proactive and reactive approach for resource-constrained project scheduling problem under activity and resource disruption: a scenario-based robust optimization approach Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-19 Maziar Khoshsirat, Seyed Meysam Mousavi
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Design and management of humanitarian supply chains for pandemics: lessons from COVID-19 Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-18 Rameshwar Dubey, David J. Bryde, Cyril Foropon
The COVID-19 pandemic has been an unprecedented challenge for humanity, causing widespread disruptions to daily life and economies worldwide. However, amidst the challenges, it has also presented an opportunity to reflect on our competencies, capabilities, and objectives. One area that has gained significant attention during this time is the humanitarian supply chain management theories, which offered
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Triangle width problem: at the intersection of graph theory, scheduling, and matrix visualization Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-18 Khadija Hadj Salem, Luc Libralesso, Vincent Jost, Florian Fontan, Frédéric Maffray
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Utilization of data and information flows for enhancing a chambermaid scheduling decision making in a smart hospitality supply chain Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-18 Rapeepan Pitakaso, Kanchana Sethanan, Kongkidakhon Worasan, Paulina Golinska-Dawson
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Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-16 Jeongsub Choi, Mengmeng Zhu, Jihoon Kang, Myong K. Jeong
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Metric estimation approach for managing uncertainty in resource leveling problem Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-15 Ilia Tarasov, Alain Haït, Alexander Lazarev, Olga Battaïa
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Supply chain performance evaluation using a network data envelopment analysis model with bias-corrected estimates Ann. Oper. Res. (IF 4.8) Pub Date : 2024-03-15 Ilias Vlachos, Panagiotis D. Zervopoulos, Gang Cheng