Article
Computer Science, Cybernetics
Fei Yan, Hong-Zhuan Chen, Zhichao Zhang
Summary: Technology licensing has a significant impact on the R&D cooperation and price decisions of supply chain members. Different licensing methods have different effects on the supply chain members' cooperative and price R&D decisions.
Article
Management
Jingqi Wang, Tingliang Huang, Junghee Lee
Summary: This study examines the impacts of cross-licensing in a supply chain and finds that the supplier tends to adopt cross-licensing after manufacturers' investments are sunk. Additionally, cross-licensing may increase innovation, the superior manufacturer's profit, and social welfare under certain conditions. For policy makers, encouraging cross-licensing with low effectiveness level when the superior manufacturer's innovation cost is either low or high may enhance societal welfare.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Liwen Liu, Changwei Pang, Xianpei Hong
Summary: This paper examines the impact of consumers' quality preferences on OEMs' patent licensing decisions and profit in the context of remanufacturing. The study finds that the quality of remanufactured products influences the OEM's willingness to license the patented technology and the profit obtained through licensing. Two-part tariff licensing is identified as the optimal patent licensing strategy for the OEM.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Psychology, Multidisciplinary
Huaige Zhang, Yu Zhang, Menghuan Zhou
Summary: This paper studies the optimal choices of technology licensing in different mixed competition environments, and finds that the licensor prefers fixed-fee licensing as the degree of substitution increases, while consumers prefer royalty licensing.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Business
Yuelong Zheng, Siman Liu, Yan Zhao, Chunjia Han, Qijun Zhou, Lin Wang, Francesco Colace, Wadee Alhalabi, Hind Alsharif
Summary: General purpose technologies (GPTs) are considered as a major driver of productivity and economic growth. Cooperation R&D, with a balanced power structure, is found to be the preferred choice for GPTs. Fairness concerns and government support play important roles in improving the R&D efficiency of GPT cooperation.
JOURNAL OF INNOVATION & KNOWLEDGE
(2023)
Article
Management
Yanting Huang, Zongjun Wang
Summary: This research investigates the interaction between a retailer's information sharing behavior and a manufacturer's encroachment strategies in a closed-loop supply chain. The study shows that information sharing is beneficial to the manufacturer but detrimental to the retailer. In cases of manufacturer encroachment, the retailer may be willing to share information, and encroachment is always profitable for the manufacturer.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Automation & Control Systems
Aixia Chen, Yankui Liu
Summary: Technology research and development (R&D) in emerging supply chains is crucial with uncertainty. Researchers constructed a new ambiguity set to characterize distribution uncertainty of technology concern and developed a decision-making optimization model, studying a case on electric vehicles to show the impact of uncertainty on government subsidy strategies.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Business
Miying Yang, Mingtao Fu, Zihan Zhang
Summary: This paper explores the adoption of digital technologies in manufacturing firms at a supply chain level, addressing the drivers, process, and impact of adoption. It introduces a new conceptual framework and highlights the importance of technological intelligence and supply chain cooperation.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Engineering, Multidisciplinary
Fuli Zhang, Yangyang Peng, Xiaolin Xu, Xing Yin, Lianmin Zhang
Summary: We investigate the R&D strategy of firms in competitive environments from a supply chain perspective. Our main findings include that cooperative R&D strategy is adopted when the technology spillover effect is either too large or too small, while non-cooperative strategy is accepted when the spillover effect is moderate. Cooperative R&D could increase social welfare when both the technology spillover effect and the unit production cost are high.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Ye Gao, Hongwei Gao, Han Xiao, Fanjun Yao
Summary: The research focuses on improving and strengthening the coordination of vaccine supply chains using artificial intelligence and blockchain technologies during the COVID-19 pandemic. The study models the supply chain as a two-player dynamic game and examines the applicability and effectiveness of the technologies, as well as their impact on environmental performance. The results show that the difficulty in obtaining certified vaccines is not directly proportional to the profit of vaccine manufacturers, and the manufacturers are more sensitive to changes in the vaccine attenuation rate.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Ke Yan, Guowei Hua, T. C. E. Cheng
Summary: This study finds that whether firms engage in cooperative promotion mainly depends on the wholesale price, and the retail price of decentralized and centralized green supply chains differs. Due to the influence of channel structure, the centralized supply chain contributes more to cooperative promotion.
Article
Engineering, Industrial
Zachary A. Collier, Joseph Sarkis
Summary: This paper discusses supply chain attacks in the modern supply chain, introduces the application of zero trust concept in the supply chain, and explores the steps for organizations to transition to a zero trust model.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Management
Feng Yang, Junjun Kong, Tianzhuo Liu, Sheng Ang
Summary: In this study, we examine a two-echelon supply chain composed of a manufacturer and a retailer, investigating the cooperation issues under different modes. We find that the cartelization mode can increase the profitability for the entire supply chain and the manufacturer, but not for the retailer. Unless the manufacturer effectively motivates the retailer to cooperate, the green supply chain in cartelization mode cannot achieve Pareto improvement. Additionally, we discuss coordination issues and find that revenue-sharing contracts are more flexible in coordinating the cartelized supply chain.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Management
Hai Li, Qiankai Qing, Juan Wang, Xianpei Hong
Summary: The study examines the impacts of parallel importation on profits and unit licensing fees, as well as the leading manufacturer's optimal licensing decision. It shows that while the leading manufacturer's profit may suffer due to parallel importation, they may still find motivation to license the technology under certain circumstances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Business
Sahar Ebrahimi Bajgani, Sara Saberi, Fuminori Toyasaki
Summary: To address the ventilator capacity shortage during the Covid-19 pandemic, remanufacturing was proposed for agile and cost-effective solutions. Recycling was also introduced to tackle raw material shortages post-pandemic. However, implementing reverse logistics activities presents operational challenges like quality control and product information leakage from OEMs to reverse logistic service providers.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Operations Research & Management Science
Zhuzhu Song, Wansheng Tang, Ruiqing Zhao
Summary: The repositioning of empty containers from surplus to shortage areas results in economies of scope for transportation services. The liner company should focus on fewer forwarders while the forwarders should expand service scope. The order of canvassing routes with low potential market demand may not necessarily be optimal for the liner company.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Management
Shichen Zhang, Yao Yao, Jianxiong Zhang
Summary: This study explores the effects of consumer showrooming on supplier encroachment and retailer omnichannel retailing. The results show that both the supplier and the retailer can benefit from showrooming when the consumers' hassle costs and the retailer's additional revenue are at an intermediate level. However, the retailer's omnichannel strategy may limit this win-win range.
Article
Management
Fanjun Yao, Elena Parilina, Georges Zaccour, Hongwei Gao
Summary: This paper explores the impact of consumers' environmental concern on the strategies and outcomes of a supply chain. Taking a supply chain perspective instead of a single-firm one is more realistic since the retailer has a direct influence on sales through pricing policy. Therefore, the contractual arrangement in the supply chain becomes an important issue.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Yao Yao, Jianxiong Zhang, Xiaoqing Fan
Summary: This paper examines the impact of retailer's strategic pricing on the supplier's encroachment incentive and suggests that it can serve as a novel and costless anti-encroachment device.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Pierre Bernhard, Marc Deschamps, Georges Zaccour
Summary: The use of satellite technology has become increasingly important for nations, companies, and individuals. However, since the first satellite was launched in 1957, space has been polluted with debris, especially in low orbits. The current situation is concerning, with frequent collision risk alerts and avoidance maneuvers by satellites and the International Space Station. The introduction of mega-constellations of satellites has further exacerbated these problems. This paper provides an economic analysis to balance the size of satellite constellations with the cost of preserving the space environment, aiming to contribute to the sustainable development of the space economy.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Economics
Elena M. Parilina, Georges Zaccour
Summary: Sustaining cooperation over a finite time horizon is challenging, as players tend to deviate from cooperation in the last stage. This paper proposes two payment schemes that have desirable properties, ensuring players cooperate throughout the entire planning horizon.
JOURNAL OF ECONOMIC DYNAMICS & CONTROL
(2022)
Article
Ecology
Aichouche Oubraham, Patrick Saint-Pierre, Georges Zaccour
Summary: To meet the increasing demand, agricultural practices have shifted from organic fertilization to intensive and specialized farming that uses chemical fertilization. However, this has resulted in serious ecological issues. This study proposes using viability theory to find policies that can preserve soil quality and ensure acceptable incomes for farmers.
ECOLOGICAL MODELLING
(2022)
Review
Management
Pietro De Giovanni, Georges Zaccour
Summary: This article reviews dynamic quality models in both single-agent setup and competitive frameworks. The objectives are to provide the reader with the latest developments in this field, identify the boundaries between different quality concepts, and outline a research agenda. The article is not only relevant to active researchers in the field but also to scholars and practitioners in operations management, marketing, industrial engineering, and operations research who are interested in quality dynamics.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Arka Mukherjee, Margarida Carvalho, Georges Zaccour
Summary: Product recalls are often a result of quality failures, but these crises are usually temporary and the affected firm can eventually recover. The decisions and profits of the manufacturer are influenced by stochastic parameters such as crisis likelihood, recovery likelihood, crisis impact, and recovery intensity. Additionally, myopic firms are more severely affected by a product recall than farsighted firms, especially when the impact of the recall is high.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Operations Research & Management Science
Elnaz Kanani Kuchesfehani, Elena M. Parilina, Georges Zaccour
Summary: This study models a closed-loop supply chain as a stochastic dynamic game, considering the strategic interactions between the manufacturer and retailer, the intertemporal nature of product remanufacturing, and the uncertainty in parameter values. It characterizes and compares the solutions in two different scenarios and provides numerical experiments.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Biology
Ilyass Dahmouni, Elena M. Parilina, Georges Zaccour
Summary: We study a discrete-time fish war model with a moratorium on fishing activities when the fish stock reaches a critical low value. The moratorium is in place until the stock recovers to a desirable level. We determine conditions for avoiding the moratorium and find the optimal duration when it is necessary. When players cannot avoid the moratorium, we propose a moratorium-free strategy profile that matches the Nash equilibrium in linear-state strategies under certain conditions. Numerical examples are provided to illustrate our findings.
MATHEMATICAL BIOSCIENCES
(2023)
Article
Operations Research & Management Science
Hosain Zaman, Georges Zaccour
Summary: We analyze the government's vehicle scrappage program and the strategic behavior of manufacturers in response to increased consumer willingness to pay. In a two-period game, we determine equilibrium prices and subsidy levels. Our findings show that prices increase over time and are higher with the subsidy compared to the benchmark case. Moreover, if consumers act strategically, equilibrium prices will be higher than if they behave myopically.
CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH
(2023)
Article
Management
Can Baris Cetin, Georges Zaccour
Summary: In this study, the best remanufacturing strategy for OEM and IR in an innovative industry is investigated, taking into account the consumer valuation of products and the level of innovation. The research focuses on including innovative features in remanufactured products instead of passively carrying over product quality. Three remanufacturing strategies are considered: not remanufacturing, remanufacturing without adding innovative features, and remanufacturing with upgrades. The impact of competition and remanufacturing strategy on firms' environmental impact and consumer surplus is analyzed.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Automation & Control Systems
Utsav Sadana, Puduru Viswanadha Reddy, Georges Zaccour
Summary: In this article, we study a class of deterministic finite-horizon two-player nonzero-sum differential games where players are endowed with different kinds of controls. We seek to derive conditions for the existence of feedback Nash equilibrium strategies for the players and provide a verification theorem for identifying such equilibrium strategies. Furthermore, we specialize the obtained results in a scalar two-player linear-quadratic differential game with impulse control and provide an analytical characterization of the feedback Nash equilibrium for the first time.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Management
Jafar Chaab, Georges Zaccour
Summary: This paper examines the pricing of a new product in the presence of sophisticated consumer behaviors. The study finds that forward-looking consumer behavior can either strengthen or weaken the effectiveness of a penetration pricing strategy, while the superiority of committed pricing in terms of firm's profit heavily depends on consumer behaviors.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
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)
