Article
Management
Chen Tian, Tiaojun Xiao, Jennifer Shang
Summary: This research investigates the channel differentiation strategy that a manufacturer should adopt when facing free riders in the emergence of e-commerce. The study finds that consumers are more likely to engage in free riding when faced with differentiated products, and provides optimal strategies for manufacturers. Furthermore, through an agent-based model, the research derives managerial insights for more complex situations.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Parisa Haghi Motlagh, G. Reza Nasiri
Summary: This article presents methods for implementing static and dynamic pricing strategies with discounts and revenue sharing contracts in retail and chain stores/channels. The results of the study show that the algorithm used to solve the complex problem has acceptable quality and efficiency.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Management
Wenjuan Yang, Jiantong Zhang, Hong Yan
Summary: The study finds that the impact of OCRs on direct and retail prices varies under different channel structures. In a centralized channel, OCRs can reduce retail prices; in a decentralized channel, manufacturers are more likely to charge higher direct prices, and retailers have the opportunity to increase retail prices.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Management
Mengmeng Li, Shinji Mizuno
Summary: This paper examines a periodic review, joint dynamic pricing and inventory problem in a dual-channel supply chain, taking into account three power structures between the manufacturer and retailer. The effects of power structure on pricing and inventory decisions are analyzed, and the optimal strategies under different power structures are compared. The findings highlight the influence of power structure on pricing and inventory decisions in the dual-channel supply chain.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
Limeng Chai, Desheng Dash Wu, Alexandre Dolgui, Yongrui Duan
Summary: Store brands can help B&M retailers combat showrooming and increase profits; when there is a mismatch in products, store brands can fill in the gaps left by national brands; the impact of store brand awareness on B&M stores varies and a comprehensive strategy is needed.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Mathematics, Interdisciplinary Applications
Lixin Wang, Xiaolong Jiao, Qian Hao
Summary: This paper examines the incentive mechanism of information sharing in the dual-channel agricultural product supply chain and proposes a point bank reward mechanism and risk evaluation and control mechanism using TRIZ theory. The study provides a new research method and incentive measure for effectively mobilizing the enthusiasm of information sharing.
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2021)
Article
Green & Sustainable Science & Technology
Xuelong Zhang, Doudou Wu, Xiangzhong Zhao
Summary: This paper studies the optimal profit change in a manufacturer-led dual-channel supply chain and proposes a two-step pricing decision model to coordinate the profit allocation among channel members. The research findings indicate that after coordination, the retailer's profits increase while the manufacturer's profits decrease.
Article
Computer Science, Artificial Intelligence
Guangzhou Yan, Yaodong Ni, Xiangfeng Yang
Summary: This study examines pricing and recovery strategies in a closed-loop supply chain, proposing two Stackelberg game models for different recycling channels under uncertainties. It discusses optimal decisions and maximum expected profits under centralized decision-making models. Numerical experiments show significant impacts of the online channel on pricing decisions, alongside sensitivity analysis on key uncertain parameters.
Article
Green & Sustainable Science & Technology
Xuelong Zhang, Yuxin Xu, Xiaofan Chen, Jiuying Liang
Summary: This study examines the strategic pricing decision models of manufacture-led dual-channel supply chains with the free-rider problem under the service level and cost. The impact of the degree of consumer free-rider problem on the optimal pricing strategy and service level of the dual-channel supply chain is analyzed using the Stackelberg model, and a numerical simulation is conducted. The findings show that in retailer's dual-channel supply chain, increasing consumer free-riding behavior decreases retailer enthusiasm but improves service levels and lowers prices. In manufacturer's dual-channel supply chain, deepening consumer free-riding behavior leads to a decline in retailer service levels and enthusiasm, as well as decreased wholesale prices and retailer pricing. The results provide important insights for making optimal pricing decisions in manufacture-led dual-channel supply chains.
Article
Engineering, Industrial
Wenguang Tang, Haitao Li, Kaihao Cai
Summary: The study examines the optimization of credit terms in a dual-channel supply chain, focusing on decentralized and centralized decision-making strategies. It suggests a new credit term-based contract to incentivize cooperation between manufacturer and retailer and proposes a profit-sharing scheme for a win-win outcome. Numerical studies provide additional managerial insights.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Management
Yichao Yuan, Tiaojun Xiao
Summary: This paper examines the effectiveness of two decoy strategies, namely the decoy low-quality product strategy (DL strategy) and the decoy high-quality product strategy (DH strategy) in the presence of perceived substitutability by consumers. The study finds that under symmetric information, the choice between DL and DH strategies depends on the unit production cost of high-quality products. Under asymmetric information, the high-type retailer has no incentive to provide false information, while the low-type retailer may distort information and both types have an incentive to choose the wrong strategy.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Danping Wen, Tiaojun Xiao, Mehdi Dastani
Summary: This study investigates the optimization of pricing strategy and collection rate in a supply chain considering environmental responsibility behaviors. Game-theoretical models are developed to explore this issue under perfect rationality and bounded rationality scenarios. The study finds that different pricing strategies have different impacts on the profitability of the manufacturer and retailer, and the consumers' acceptance degree of remanufactured products plays a crucial role in determining the optimal strategy.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Mathematics
Shiming Yi, Liying Yu, Ziyuan Zhang
Summary: This study investigates the differential pricing in a dual-channel supply chain, finding that the total profit of the supply chain is better in a centralized decision scenario, along with higher customer value in both channels. Under separate pricing, the manufacturer's profit is larger while the online retail platform's profit is smaller. Value-added services play an important role in maximizing the profit of the online retail platform and customer value.
Article
Economics
Mengmeng Li, Shinji Mizuno
Summary: This paper investigates the dynamic versus static pricing problem in a dual-channel supply chain, considering stochastic demand and price sensitivity. Four different pricing strategies are examined, and stochastic dynamic programming models are developed to determine the optimal pricing and inventory policy for maximizing total expected profit. Numerical studies reveal the effectiveness of the strategies and identify key factors affecting pricing decisions.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Engineering, Industrial
Xuan Xi, Yulin Zhang
Summary: E-commerce platforms are adopting a dual-format model, providing both reselling and marketplace channels. This study explores the addition of marketplace channels and pricing strategies in an e-commerce supply chain, involving a platform, manufacturer, and reseller. The results show that the platform is willing to add the marketplace channel for the reseller under differential pricing, while the manufacturer prefers entering the marketplace alone. However, under uniform pricing, the manufacturer may introduce the marketplace channel separately in certain conditions for a win-win situation with the platform.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
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)