Article
Mathematics
Beatriz Abdul-Jalbar, Roberto Dorta-Guerra, Jose M. Gutierrez, Joaquin Sicilia
Summary: This study investigates a two-echelon inventory system where a single vendor supplies an item to two buyers, exploring the pros and cons of centralized and decentralized strategies.
Article
Social Issues
Ji Chen, Jiayan Huang, Weihua Su, Dalia Streimikiene, Tomas Balezentis
Summary: Large disruptions like the pandemic have increased uncertainty and risk in businesses, making business continuity management an essential solution for emergency response. This study analyzes the impact of risk factors introduced by COVID-19 on business performance in China, using statistical surveys and logistic regression. It also proposes epidemic prevention strategies focused on investment and government regulation for sustainable business development.
TECHNOLOGY IN SOCIETY
(2021)
Article
Management
George Liberopoulos, Michalis Deligiannis
Summary: When buyers face stockouts, they may lose goodwill and become less inclined to select the same supplier, while in-stock experiences may restore the prospect of being chosen. In this study, the researchers develop a multiperiod model to explore the optimal inventory control policy for suppliers. The model takes into account the buyer's rating of the supplier, which is updated based on the supplier's past service performance. The optimal decision depends on the trade-off between the risk of being downgraded and the increase in ordering and inventory costs. The study provides insights into the conditions for optimal basestock policies and highlights the potential impact of arbitrary stockout costs on profits in a newsvendor setting.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
Marcello M. Mariani, Matteo Borghi
Summary: This study examines the impact of AI-empowered service operations on customer satisfaction. The findings reveal that positive customer interaction with mechanical AI positively influences overall customer satisfaction, while negative customer interaction with mechanical AI does not significantly alter customer satisfaction.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Falguni Mahato, Chandan Mahato, Gour Chandra Mahata
Summary: This study aims to develop a sustainable smart manufacturing model by reducing waste and controlling pollution in the production system. Two different production models are proposed to decrease pollution levels, and an application experiment is conducted with three pollution control mechanisms. The results show that the model with variable pollution costs is more sustainable.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Management
Yi Wang, Sheng Hao Zhang
Summary: This study examines the impact of partner selection on the value of information sharing in a distribution system. The findings suggest that partnering with the high priority retailer is more effective, and a selective-information sharing system serves as an effective pilot run to full-information sharing.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Operations Research & Management Science
Gabi Hanukov
Summary: This article investigates a service system in which customers can leave the service station and enter orbit during the processing of their order. The system is modeled and analyzed using the matrix geometric method, and the optimal orbiting time, optimal RS storage capacity, and optimal preservation technology investment are calculated.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Operations Research & Management Science
Bara Kim, Jeongsim Kim, Sungji Lee
Summary: In this study, we analyze a production-inventory queueing system and investigate customers' equilibrium strategies, profit maximization, and social welfare maximization. We also develop a method for computing equilibrium strategies and calculate the maximum profit rate and maximum social benefit rate. Additionally, we compare the profit-maximizing solution with the welfare-maximizing solution through numerical experiments.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Engineering, Industrial
Hector Rivera-Gomez, Ali Gharbi, Jean-Pierre Kenne, Ruth Ortiz-Zarco, Jose Ramon Corona-Armenta
Summary: This paper proposes a new joint control policy that considers the interactions between production quality and maintenance. A stochastic mathematical model is developed using specialized optimization techniques to solve the quality constrained problem. Numerical examples are provided to demonstrate the usefulness of the proposed approach and investigate the interactions between production-quality and maintenance strategies.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Management
Xiaobei Shen, Yimin Yu, Jing-Sheng Song
Summary: This paper studies the optimal inventory ordering, expediting, and allocation decisions in a multiechelon supply chain with a fixed fulfillment time window. The results show that echelon base stock policy and rationing policy are optimal for inventory ordering and allocation/expediting, respectively. A polynomial-time algorithm is also developed to compute the optimal policy. The study fills a gap in the literature and provides an efficient decision tool for managing centralized and decentralized supply chains.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Manufacturing
Christiane B. Haubitz, Ulrich W. Thonemann
Summary: Inventory optimization approaches often focus on steady-state performance and may overlook the transition from an initial state to the optimized state. This study addresses the issue by proposing a phased approach to changing base stock levels in order to avoid undesirable effects. By modeling the inventory transition as a finite-horizon optimization problem and applying specific methods, it is possible to control the transition process effectively and improve fill rates without exceeding the initial inventory budget.
PRODUCTION AND OPERATIONS MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Priyamvada, Aalok Kumar
Summary: Supply chain and production systems faced challenges during COVID-19 and improved customer service. This research focuses on solving inventory pricing and retailer profit issues in order to meet consumer demand and maintain stock availability.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Economics
Esma Birisci, Ronald G. McGarvey
Summary: This study explores production planning in all-you-care-to-eat food service operations by considering forecast uncertainty and deriving strategies to minimize food waste. The results provide insights for food service operators to modify production levels and manage the tradeoff between demand shortfall and food waste.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Management
B. Gerrits, E. Topan, M. C. Van Der Heijden
Summary: This study aims to improve the performance of multi-echelon, closed loop spare part supply chains through operational interventions based on real-time status information. Proactive interventions, including lateral transshipments, emergency shipments, stock reservations, expediting part repairs, and early new buys of parts, are found to have the most impact in reducing costs. Communicating losses in the supply chain for early new buys has a positive impact on fill rates at negligible costs. Expedite repair and stock reservations using the proposed rules are not profitable. The results are based on simulation experiments using data from a global IT company in Germany.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Operations Research & Management Science
Ioannis Mallidis, Nikolaos Sariannidis, Dimitrios Vlachos, Volha Yakavenka, Georgia Aifadopoulou, Konstantinos Zopounidis
Summary: We developed and applied a socially responsible inventory model to determine the optimal order quantity and donation timing. The results showed that implementing the proposed donation policy could potentially lead to significantly higher profits compared to the non-donation policy and the naive policy.
OPERATIONAL RESEARCH
(2022)
Article
Operations Research & Management Science
Jun Pei, Qingru Song, Baoyu Liao, Xinbao Liu, Panos M. Pardalos
Summary: This paper introduces a novel algorithm to solve a serial-batching scheduling problem with specific conditions, which outperforms other algorithms in solution quality and running time according to computational experiments.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Engineering, Manufacturing
Jun Pei, Ping Yan, Subodha Kumar, Xinbao Liu
Summary: The sharing economy has rapidly developed using B2C and C2C models, impacting traditional sales businesses. Research suggests that in internal sharing scenarios, the choice between B2C and C2C sharing depends on product costs and transaction costs, while in external sharing scenarios, the positive impact of B2C sharing may be stronger than that of C2C sharing.
PRODUCTION AND OPERATIONS MANAGEMENT
(2021)
Article
Engineering, Industrial
Zhiping Zhou, Jun Pei, Xinbao Liu, Hong Fu, Panos M. Pardalos
Summary: This study investigates the impact of member enterprises' resource occupation on the performance of IoT-based collaborative virtual enterprises. The findings suggest that information and operational resources are positively associated with business and market performance. Decision authority decentralisation plays a moderating role in enhancing overall performance and facilitating the positive effects of operational resources on performance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Operations Research & Management Science
Souhir Elleuch, Bassem Jarboui, Nenad Mladenovic, Jun Pei
Summary: In the field of automatic programming, an AP-tree is used to represent a program for solving AP problems. A new neighborhood structure, based on the elementary tree transformation, is proposed to adapt the AP-tree. Experimental comparison shows clear advantages of the new BVNP method in terms of convergence speed and computational stability.
OPTIMIZATION LETTERS
(2022)
Article
Engineering, Industrial
Lei Guan, Jun Pei, Xinbao Liu, Zhiping Zhou, Panos M. Pardalos
Summary: This paper studies the ridesharing problem in urban transportation aiming to enlarge the ridesharing market at a limited cost. A novel multi-objective optimization model based on cumulative prospect theory is established to address the preferred travel mode of commuters. The perceived value of commuters influences their choice of travel mode.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Mathematics, Applied
Shaojun Lu, Jun Pei, Xinbao Liu, Panos M. Pardalos
Summary: The paper proposes a hybrid metaheuristic method to tackle the challenges in the production process of high-end equipment, aiming to achieve automation, integration, and intelligence through maintenance planning and order scheduling optimization. The problem is proven to be NP-hard, thus the authors propose a hybrid discrete black hole algorithm and variable neighborhood search (DBH-VNS) approach to solve the problem.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Chaoming Hu, Min Kong, Jun Pei, Xinbao Liu, Panos M. Pardalos
Summary: This research focuses on the integrated inventory and production scheduling problem in a manufacturer handling perishable goods, aiming to minimize both inventory cost and production cost through an optimal schedule. It investigates both single-plant and multi-plant problems, providing solutions for each. The proposed hybrid intelligent algorithm for the multi-plant problem outperforms other algorithms in terms of effectiveness and efficiency, as demonstrated in experiments.
ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE
(2021)
Article
Management
Xiaofei Qian, Wujuan Yang, Jun Pei, Xinbao Liu, Panos M. Pardalos
Summary: This paper studies an information security investment game between two firms with complementary information assets, analyzing the firms' investments and profits in Nash equilibrium and social optimum. Results show that joint decision-making leads to higher profits for the two firms as a whole, but not necessarily for each individual firm. Additionally, higher insurance prices do not always reduce profits for a single firm, and higher investment efficiency does not always result in larger profits.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2022)
Article
Operations Research & Management Science
Ping Yan, Jun Pei, Ya Zhou, Panos M. Pardalos
Summary: The development of digital technology enables e-commerce platforms to predict online demand more accurately and reduce partners' demand uncertainty through shared forecast information. The study found that the platform's forecast information influences firms' channel strategies, and the platform commission rate can impact firms' benefits from the information.
ANNALS OF OPERATIONS RESEARCH
(2021)
Review
Engineering, Industrial
Jun Pei, Ya Zhou, Ping Yan, Panos M. Pardalos
Summary: This paper provides a comprehensive review and critical hints for future research on scheduling problems with learning and deteriorating effects in practical manufacturing systems. The authors propose a novel classification scheme and analyze the evolution of related scheduling models and algorithms.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Multidisciplinary
Junying Hu, Xiaofei Qian, Jun Pei, Changchun Tan, Panos M. Pardalos, Xinbao Liu
Summary: This paper proposes a modified support vector machine (SVM) model for quality prediction in semiconductor manufacturing, considering high dimensional and nonlinear data characteristics. Through feature selection and parameter optimization, the model achieves higher classification accuracy with a smaller feature subset compared to other SVM models based on different algorithms, and outperforms common machine learning algorithms in quality prediction for semiconductors.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
(2022)
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)
