Article
Management
Feng Tao, Liang Wang, Tijun Fan, Hao Yu
Summary: This study investigates RFID adoption strategies in a decentralized supply chain, revealing that the powerful supplier is more likely to adopt RFID, while suppliers are more likely to forgo the use of RFID under intense upstream competition. The equilibrium RFID adoption strategy can bring all supply chain members to a Pareto optimal outcome when inventory availability rates are low or one is close to 1 while the other is low.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Ke Fu, Ce Wang, Jiayan Xu
Summary: This study fills the research gap regarding the impact of trade credit on information sharing in supply chains. The findings show that the provision of trade credit affects the retailer's information sharing decision and supply chain performance.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Operations Research & Management Science
Feng Tao, Yanhong Xie, Yao-Yu Wang, Fujun Lai, Kin Keung Lai
Summary: Using a newsvendor model, this study investigates equilibrium contracting strategies in two competing supply chains and their impact on members. The study reveals that consignment contracts no longer dominate when inventory inaccuracy is considered, with wholesale price contracts becoming equilibrium strategies. Additionally, the threshold point of inventory inaccuracy is found to be related to the channel cost-sharing rate and level of competition between supply chains.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Management
Abhishek Roy, Stephen M. Gilbert, Guoming Lai
Summary: This study investigates how strategic inventory affects competing suppliers' choices between short-term transactional and long-term commitment contracts in a nonexclusive reselling environment. The results show that strategic inventory under short-term contracts intensifies price competition between suppliers, but this effect can be mitigated when long-term contracts are offered. Additionally, long-term contracts can arise as an equilibrium outcome, especially in cases of high substitutability or holding costs.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Business
Benyong Hu, Lin Liu, Chao Meng
Summary: This study shows that sharing demand information between the game developer and distributor in an online game supply chain can influence marketing investment and product quality decisions. Information sharing motivates the distributor to invest more in marketing, especially when the market demand is not very sensitive to the game price, while it leads the developer to be less conservative in product quality and commit higher investments. Additionally, there is a region of Pareto improvement where both supply chain members benefit from voluntarily sharing demand information.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Article
Management
Yang Liu, Jun Tian, Gengzhong Feng
Summary: The study highlights the importance for governments to balance inventory cost and stock-out cost when pre-positioning relief supplies. By classifying and introducing option contracts, it is possible to establish a pre-positioning system for relief supplies, enhance emergency response capabilities, and reduce inventory risks.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
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
Engineering, Multidisciplinary
Qiuling Meng, Lijuan Wan, Quanwu Zhao
Summary: Remanufacturing is a meaningful approach for achieving circular economy, but the lack of cost information sharing hampers its development. This study examines the issues of cost information sharing in a supply chain with remanufacturing, and finds that sharing information on new product volume can lower wholesale price and benefit both social welfare and the environment.
INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT
(2023)
Article
Operations Research & Management Science
Yujie Zhao, Hong Zhou, Jiepeng Wang
Summary: This paper examines the value of demand information and acquisition strategy in a supply chain with supplier encroachment, using a Bayesian game model and signaling mechanism. It analyzes the impact of dual information asymmetry, the interaction between channel substitution rate and information acquisition, and the effects of subsidies and signaling on payoffs. The study reveals a double information inaccuracy effect and the positive impact of signaling on enterprises' payoffs with lower substitution rate.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Management
Debajyoti Biswas, Hamed Jalali, Amir H. Ansaripoor, Pietro De Giovanni
Summary: This research proposes a game theory model to analyze the trade-offs between traceability and sustainability in the adoption of blockchain technology in global supply chains. The study finds that high distrust levels discourage firms from implementing blockchain, while low distrust levels make it an economically suitable technology with minimal environmental damages. The study also highlights the importance of consumer sensitivity to price and quality in determining the adoption of blockchain technology.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Peral Toktas-Palut
Summary: This study focuses on coordinating an integrated green supply chain through contracts, developing a two-part tariff contract to ensure fair distribution of benefits among supply chain members.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Operations Research & Management Science
Mengqi Liu, Yueli Zhao, Rui Huang, Sandun Perera
Summary: This study investigates the issue of information sharing and pricing strategies between a retailer and manufacturers in a two-tier supply chain using game theory. The study finds that information sharing does not always lead to a win-win situation, and the attitudes towards information sharing vary among the retailer and manufacturers under different cost efficiencies.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Operations Research & Management Science
Peng Liu, Rong Zhang, Bin Liu
Summary: With the rapid development of e-commerce platforms, this paper investigates the information-sharing strategy for an e-commerce platform where two competing original equipment manufacturers outsource their manufacturing services and sell substitutable products directly to consumers. A game-theoretic model is employed to examine six information-sharing scenarios, and the results show that the platform benefits the most when it shares information only with the contract manufacturer. Information sharing can also benefit the whole supply chain by increasing profit. Additionally, the paper explores the impacts of different leader-follower relationships on information sharing.
OPERATIONAL RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Chong Xin, Yunzhu Zhou, Minghe Sun, Xin Chen
Summary: This study investigates the purchasing strategies, pricing decisions, and incentive mechanism for a two-echelon green product supply chain. Both the manufacturer and the retailer can benefit from producing and selling the green product, and the two purchasing opportunity strategy is superior in improving performance.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Mathematics
Tianjian Yang, Chunmei Li, Xiongping Yue, Beibei Zhang
Summary: This study examines the adoption of blockchain technology and information sharing in a low-carbon supply chain. The results suggest that supply chain members are more likely to adopt blockchain technology in the absence of sharing or in voluntary sharing scenarios. Mandatory sharing leads to participation in blockchain when the value-added service efficiency exceeds a threshold value.
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)