Article
Management
Maryam Dehghani, Babak Abbasi, Fabricio Oliveira
Summary: The study analyzes how a proactive transshipment policy can help avoid future shortages and reduce wastage in blood supply chains, with significant cost savings and potential benefits shown in comparison experiments.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Management
Saif Benjaafar, Daniel Jiang, Xiang Li, Xiaobo Li
Summary: The paper explores an optimal policy for systems with a general network structure in the context of on-demand rental services. It demonstrates that the optimal policy can be described in terms of a specific region in the state space and proposes a provably convergent approximate dynamic programming algorithm to handle high-dimensional problems.
MANAGEMENT SCIENCE
(2022)
Article
Management
Qing Li, Peiwen Yu, Lilun Du
Summary: This paper explores the idea of transshipping perishable goods in offline grocery retailing, showing that transshipment can play a dual role of inventory balancing and inventory separation. By separating inventories, retailers can sell older items more easily and reduce waste as a result. The optimal inventory separation policy is characterized by two increasing switching curves dividing the state space into three regions, and numerical studies are conducted to quantify the value of transshipment.
OPERATIONS RESEARCH
(2022)
Article
Management
Niels van der Laan, Ward Romeijnders
Summary: We propose a new solution method for two-stage mixed-integer recourse models that can handle general mixed-integer variables in both stages. Our method is based on Benders' decomposition, where we iteratively construct tighter approximations of the expected second stage cost function using a new family of optimality cuts derived from extended formulations of the second stage problems. We show convergence of our method by proving that the optimality cuts recover the convex envelope of the expected second stage cost function. Finally, we demonstrate the potential of our approach through numerical experiments on investment planning and capacity expansion problems.
OPERATIONS RESEARCH
(2023)
Article
Mathematics, Applied
Harsha Gangammanavar, Suvrajeet Sen
Summary: The SDLP algorithm is proposed for multistage stochastic linear programming problems, allowing for recursive assimilation of newly sampled data and avoiding a priori representation of uncertainty. The approximations used within SDLP can be viewed through the lens of proximal methods or via regularization. Additionally, the introduction of basic feasible policies provides a piecewise affine solution discovery scheme.
SIAM JOURNAL ON OPTIMIZATION
(2021)
Article
Economics
Lihong Cheng, Xiaolong Guo, Xiaoxiao Li, Yugang Yu
Summary: Emerging advanced technologies allow logistics service providers to offer supply chain services beyond just shipping, such as inventory management. This study investigates a preventive transshipment system led by a logistics service provider, where the provider serves as the decision-maker and provides optimal ordering and transshipment policies for online retailers. The results demonstrate that implementing this system can significantly increase the total profit for both the retailer and the logistics service provider.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Computer Science, Interdisciplinary Applications
F. S. Oliveira, Nahim B. Zahur, Fulan Wu
Summary: We examined the issue of petroleum stockpiling in ASEAN and computed the optimal policies for building up and drawing down stocks. By analyzing various factors such as petroleum prices, oil imports and production, and GDP, we determined the effects of different conditions on the optimal policy. Using a stochastic program, we proposed an inter-generational equity rule to calculate the level of inventory in the final states and found that developing a strategic petroleum reserve would bring significant benefits to ASEAN countries, with net benefits ranging from US$25-125 billion. Our suggested target stockpile aligns with the International Energy Agency's recommendation.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Felipe D. R. Machado, Andre Luiz Diniz, Carmen L. T. Borges, Lilian C. Brandao
Summary: Optimizing power generation planning is crucial for cost-effectiveness and meeting power demand, and the use of parallel computing methods can significantly enhance the efficiency of solving this problem.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Management
Sheng Liu, Zhixing Luo
Summary: This study proposes a novel structured approximation framework for the stochastic dynamic driver dispatching and routing problem in last-mile delivery systems, focusing on on-time performance. The framework approximates the value function and establishes its performance guarantee under large-demand scenarios. Efficient exact algorithms based on Benders decomposition and column generation are developed to provide verifiably optimal solutions within minutes. Evaluation on real-world data shows that our framework outperforms the current company policy by 36.53% on average in terms of delivery time. Several policy experiments with varying fleet sizes and dispatch frequencies are conducted to understand the value of dynamic dispatching and routing.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Article
Transportation Science & Technology
Karmel S. Shehadeh, Emily L. Tucker
Summary: This study addresses the problem of determining warehouse locations and prepositioning relief item inventory in preparation for a disaster season. It proposes two-stage stochastic programming and distributionally robust optimization models to tackle uncertainty. The experimental results show the potential of these methods in improving computational efficiency and operational performance.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Computer Science, Interdisciplinary Applications
Yuqi Wei, Min Yang, Jingxian Chen, Liang Liang, Tao Ding
Summary: This study proposes a lateral transshipment policy that considers both replenishment and recycling, models the inventory problem as stochastic dynamic programming, applies two dynamic programming methods to deal with the curse of dimensionality, and tests the proposed inventory policies using random demand samples. The results show that both policies are efficient in improving profitability and reducing waste.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Energy & Fuels
Zhuangzhuang Li, Ping Yang, Yi Yang, Guanpeng Lu, Yufeng Tang
Summary: This paper proposes a stochastic hydro unit commitment model to maximize the total revenue of a hydropower producer in a liberalized market. The model takes into account the uncertainty of market prices using a scenario tree and solves the problem efficiently using Benders Decomposition and Modified Stochastic Dual Dynamic Programming.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Fatima Ezzahra Achamrah, Fouad Riane, Christine Di Martinelly, Sabine Limbourg
Summary: This paper addressed a two-level supply chain with a multi-product, multi-vehicle inventory sharing routing problem, and proposed a two-phase matheuristic to solve it. The study showed the significant benefits of inventory sharing on the overall supply chain.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Management
Zihan Zhou, Xinhui Wang
Summary: Small businesses with multiple stocking locations face challenges of high ordering costs and imbalanced inventories. To address these challenges, an inventory system of multiple retailers is considered, where they order together periodically and transship available inventory between retailers. Analytical approaches are provided to evaluate costs and determine optimal order interval, order-up-to level, and timing of transshipment. The findings highlight the optimal order interval, timing of transshipments, and the effectiveness of transshipment in reducing costs.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Rossana Cavagnini, Luca Bertazzi, Francesca Maggioni
Summary: We study a fixed-charge transportation problem with stochastic and dynamic demand. Our proposed multi-stage mixed integer stochastic programming formulation proves that transshipment can provide significant cost savings. Computational studies demonstrate the effectiveness of our heuristic approach in providing efficient solutions in a short amount of time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Rob Shone, Kevin Glazebrook, Konstantinos G. Zografos
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2019)
Editorial Material
Management
Jorg Fliege, Kevin Glazebrook
IMA JOURNAL OF MANAGEMENT MATHEMATICS
(2019)
Article
Operations Research & Management Science
Thomas W. Archibald, Edgar Possani
Summary: This paper analyses the contract dynamics between an entrepreneur and an investor, highlighting that both parties benefit from a contract involving repayments and a share of the start-up company. Additionally, the study observes that the entrepreneur tends to take riskier actions as repayments become more difficult, ultimately leading to the company's inability to survive.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Management
James A. Grant, David S. Leslie, Kevin Glazebrook, Roberto Szechtman, Adam N. Letchford
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2020)
Article
Operations Research & Management Science
Jamie Fairbrother, Konstantinos G. Zografos, Kevin D. Glazebrook
TRANSPORTATION SCIENCE
(2020)
Article
Management
Stephen Ford, Michael P. Atkinson, Kevin Glazebrook, Peter Jacko
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2020)
Article
Computer Science, Interdisciplinary Applications
Chunhai Yu, Zebin Qu, Thomas W. Archibald, Zhaoning Luan
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Management
Yanhong Sun, Rongjing Chen, Thomas Archibald, Shuai Yan
Summary: This paper examines the competition between incumbents and copycats in a market with consumers who exhibit both strategic purchasing behavior and conspicuous consumption behavior. The study finds that the incumbent should adopt a high-price selling strategy when strategic consumers' patience is higher than a threshold, and a low-price selling strategy otherwise. The copycat's profit increases with strategic consumers' patience, but higher patience amplifies the negative effects of status preference on the copycat's profit. An increase in consumers' sensitivity to social status helps soften the competition and reduce the incumbent's loss of profit.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Computer Science, Information Systems
Chunhai Yu, Yuxiao Ren, Thomas W. Archibald
Summary: This article investigates the influence of cooperative advertising phenomenon in the market and its impact on the supply chain. By establishing a differential game model, the study analyzes the advertising strategies and supply chain profits in different scenarios, and presents the trajectories of goodwill and reference prices over time. The conclusions provide implications for managers to design optimal advertising strategies.
ENTERPRISE INFORMATION SYSTEMS
(2023)
Review
Management
Rob Shone, Kevin Glazebrook, Konstantinos G. Zografos
Summary: This paper provides a comprehensive review and critical evaluation of stochastic modeling applications within aviation, with a particular focus on demand and capacity management, and the mitigation of air traffic congestion. Promising research opportunities in air traffic management are identified based on recent developments in the literature.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Management
Xiyuan Ma, Roberto Rossi, Thomas Welsh Archibald
Summary: This paper addresses the single-item single-stocking location non-stationary stochastic lot-sizing problem under a reorder point - order quantity control strategy. The authors present stochastic dynamic programs (SDP) and mixed integer non-linear programming (MINLP) heuristics to determine optimal policy parameters and efficiently compute near-optimal parameters for a broad class of problem instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Shuai Yan, Thomas Welsh Archibald, Xiaohua Han, Yiwen Bian
Summary: This study examines the benefits of introducing the buy online and return to store (BORS) strategy in a competitive market. The findings suggest that the return rate and consumer hassle cost significantly influence the retailers' strategy and the existence of a prisoner's dilemma. The unit cross-selling profit also plays a role in determining the retailers' refund policy choices when implementing BORS.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Economics
Chenzi Yang, Fernando Moreira, Thomas Welsh Archibald
Summary: Increasing bank capital requirements have dual effects on housing tenure. These requirements increase the gap between housing purchase rates based on real estate loans and non-real estate loans, driving the imbalance in the housing market. However, capital requirements also lead to a decrease in real estate loans, which directly motivate residents to rent properties.
AUSTRALIAN ECONOMIC PAPERS
(2023)
Article
Management
Jake Clarkson, Kevin D. Glazebrook, Kyle Y. Lin
OPERATIONS RESEARCH
(2020)
Proceedings Paper
Automation & Control Systems
Xiyuan Ma, Roberto Rossi, Thomas Archibald
Review
Management
Vinicius N. Motta, Miguel F. Anjos, Michel Gendreau
Summary: This survey presents a review of optimization approaches for the integration of demand response in power systems planning and highlights important future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Philipp Schulze, Armin Scholl, Rico Walter
Summary: This paper proposes an improved branch-and-bound algorithm, R-SALSA, for solving the simple assembly line balancing problem, which performs well in balancing workloads and providing initial solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Roshan Mahes, Michel Mandjes, Marko Boon, Peter Taylor
Summary: This paper discusses appointment scheduling and presents a phase-type-based approach to handle variations in service times. Numerical experiments with dynamic scheduling demonstrate the benefits of rescheduling.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Oleg S. Pianykh, Sebastian Perez, Chengzhao Richard Zhang
Summary: Efficient scheduling is crucial for optimizing resource allocation and system performance. This study focuses on critical utilization and efficient scheduling in discrete scheduling systems, and compares the results with classical queueing theory.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Review
Management
Hamed Jahani, Babak Abbasi, Jiuh-Biing Sheu, Walid Klibi
Summary: Supply chain network design is a large and growing area of research. This study comprehensively surveys and analyzes articles published from 2008 to 2021 to detect and report financial perspectives in SCND models. The study also identifies research gaps and offers future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Patrick Healy, Nicolas Jozefowiez, Pierre Laroche, Franc Marchetti, Sebastien Martin, Zsuzsanna Roka
Summary: The Connected Max-k-Cut Problem is an extension of the well-known Max-Cut Problem, where the objective is to partition a graph into k connected subgraphs by maximizing the cost of inter-partition edges. The researchers propose a new integer linear program and a branch-and-cut algorithm for this problem, and also use graph isomorphism to structure the instances and facilitate their resolution. Extensive computational experiments show that, if k > 2, their approach outperforms existing algorithms in terms of quality.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Victor J. Espana, Juan Aparicio, Xavier Barber, Miriam Esteve
Summary: This paper introduces a new methodology based on the machine learning technique MARS for estimating production functions that satisfy classical production theory axioms. The new approach overcomes the overfitting problem of DEA through generalized cross-validation and demonstrates better performance in reducing mean squared error and bias compared to DEA and C2NLS methods.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Stefano Nasini, Rabia Nessah
Summary: In this paper, the authors investigate the impact of time flexibility in job scheduling, showing that it can significantly affect operators' ability to solve the problem efficiently. They propose a new methodology based on convex quadratic programming approaches that allows for optimal solutions in large-scale instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Zhiqiang Liao, Sheng Dai, Timo Kuosmanen
Summary: Nonparametric regression subject to convexity or concavity constraints is gaining popularity in various fields. The conventional convex regression method often suffers from overfitting and outliers. This paper proposes the convex support vector regression method to address these issues and demonstrates its advantages in prediction accuracy and robustness through numerical experiments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Kuo-Hao Chang, Ying-Zheng Wu, Wen-Ray Su, Lee-Yaw Lin
Summary: The damage and destruction caused by earthquakes necessitates the evacuation of affected populations. Simulation models, such as the Stochastic Pedestrian Cell Transmission Model (SPCTM), can be utilized to enhance disaster and evacuation management. The analysis of SPCTM provides insights for government officials to formulate effective evacuation strategies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Qinghua Wu, Mu He, Jin-Kao Hao, Yongliang Lu
Summary: This paper studies a variant of the orienteering problem known as the clustered orienteering problem. In this problem, customers are grouped into clusters and a profit is associated with each cluster, collected only when all customers in the cluster are served. The proposed evolutionary algorithm, incorporating a backbone-based crossover operator and a destroy-and-repair mutation operator, outperforms existing algorithms on benchmark instances and sets new records on some instances. It also demonstrates scalability on large instances and has shown superiority over three state-of-the-art COP algorithms. The algorithm is also successfully applied to a dynamic version of the COP considering stochastic travel time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Bjorn Bokelmann, Stefan Lessmann
Summary: Estimating treatment effects is an important task for data analysts, and uplift models provide support for efficient allocation of treatments. However, evaluating uplift models is challenging due to variance issues. This paper theoretically analyzes the variance of uplift evaluation metrics, proposes variance reduction methods based on statistical adjustment, and demonstrates their benefits on simulated and real-world data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Congzheng Liu, Wenqi Zhu
Summary: This paper proposes a feature-based non-parametric approach to minimizing the conditional value-at-risk in the newsvendor problem. The method is able to handle both linear and nonlinear profits without prior knowledge of the demand distribution. Results from numerical and real-life experiments demonstrate the robustness and effectiveness of the approach.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Laszlo Csato
Summary: This paper compares the performance of the eigenvalue method and the row geometric mean as two weighting procedures. Through numerical experiments, it is found that the priorities derived from the two eigenvectors in the eigenvalue method do not always agree, while the row geometric mean serves as a compromise between them.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Guowei Dou, Tsan-Ming Choi
Summary: This study investigates the impact of channel relationships between manufacturers on government policies and explores the effectiveness of positive incentives versus taxes in increasing social welfare. The findings suggest that competition may be more effective in improving sustainability and social welfare. Additionally, government incentives for green technology may not necessarily enhance sustainability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
