Article
Computer Science, Interdisciplinary Applications
Jianhu Cai, Rui Dong, Zhijun Zeng, Xiaoqing Hu
Summary: This paper introduces sales effort into the supply chain competition model and analyzes the decision differences between two sales-effort modes. It also proposes a cost-sharing contract to settle the problem and achieve Pareto improvements.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Sricharan Chirra, Rakesh D. Raut, Dinesh Kumar
Summary: This study examines the barriers to flexibility in Indian automobile supply chains and finds that the procurement function has the highest impact on inhibiting sustainable supply chain flexibility. The obtained barrier index can be used to assess the performance of companies across the industry. The proposed model provides valuable insights for practicing officials to focus on significant barriers, bridging the gap between supply chain flexibility, sustainability, and sales promotions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Management
Saravanan Kuppusamy, Michael J. Magazine, Uday Rao
Summary: This study focuses on the modeling framework and managerial implications for taxi company selection and pricing contracts by an electric vehicle infrastructure service provider, showcasing factors that influence profits and the set of participating taxi companies adopting EVs.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Industrial
Stephen M. Disney, Borja Ponte, Xun Wang
Summary: This study investigates the dynamics of order-up-to policy under lost-sales scenarios, analyzing the operational performance of lost-sales systems. It reveals that the nonlinearity of lost sales induces complex behaviors in inventory systems.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Multidisciplinary
Benrong Zheng, Jie Chu, Liang Jin
Summary: This study examines the reverse channel choice for manufacturers and coordination mechanisms in CLSCs amidst dual competitive sales channels. It is found that manufacturers and retailers can maximize profits through different recycling channel structures, and a simple price contract with profit sharing can help coordinate dual-channel CLSCs effectively.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Mathematics, Applied
Xiuqing Mu, Kai Kang, Jing Zhang
Summary: This article investigates the decision and coordination issues of credit sales in a dual-channel supply chain, and proposes a two-part credit contract based on asymmetric Nash bargaining to achieve supply chain coordination and Pareto improvements for all members.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Management
Trevor Cadden, Ronan McIvor, Guangming Cao, Raymond Treacy, Ying Yang, Manjul Gupta, George Onofrei
Summary: This study empirically develops and tests a supply chain analytical capabilities model, finding that supply chain organizational learning and supply chain data-driven culture are moderating factors that significantly impact the relationship between big data characteristics and supply chain agility.
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Xiaohua Han, Qiuyan Chen
Summary: With the development of information communication technologies, firms are adopting online sales channel to market remanufactured products for sustainable operations. The optimal product portfolio for manufacturers depends on cost-saving from remanufacturing and can impact carbon emissions. The introduction of online sales channel strategy may increase total carbon emissions but benefit average emissions per product, and product portfolio choice also affects carbon emissions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Automation & Control Systems
Nana Wan
Summary: This paper develops a closed-loop supply chain with a manufacturer and a retailer, which adopts either a retail channel or a dual-channel sales mode for product selling and a manufacturer, retailer, or hybrid recycling mode for used product collection. Six game theory models are formulated to determine the optimal pricing and recycling rate decisions based on different sales and recycling modes. The paper explores the strategies for selecting optimal sales and recycling modes through model comparisons and numerical analysis. The findings reveal that customers, the environment, and the manufacturer generally prefer the dual-channel sales mode. However, the retailer's preference for the dual-channel (retail channel) sales mode depends on the discount coefficient of demand. Additionally, customers, the environment, and the manufacturer favor the hybrid (retailer) recycling mode when the competition intensity for recycling is relatively low (high). However, the retailer's choice of recycling mode varies depending on the type of supply chain.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Riccardo Accorsi, Susan Cholette, Riccardo Manzini, Lorenzo Mucci
Summary: This paper explores the tactical operations of a circular containers network in the food supply chain, examining the interplay between uncertainty, service level, and transportation. Through a linear programming model and simulations, the study demonstrates the potential for improving the current solution and quantifies the impact of washing service levels and supplier travel distances on network solution and costs.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Computer Science, Interdisciplinary Applications
Mohammad Kaviyani-Charati, Mariam Ameli, Fatemeh Heidarzadeh Souraki, Armin Jabbarzadeh
Summary: This paper presents a multi-objective, multi-period, and multi-product mathematical model for a non-profit food bank supply chain. The study found that using a heterogeneous fleet can reduce food waste and transportation costs, and have significant positive effects on demand satisfaction and food waste rate.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Mohammad Asghari, Hamid Afshari, S. M. J. Mirzapour Al-e-hashem, Amir M. Fathollahi-Fard, Maxim A. Dulebenets
Summary: This study focuses on pricing and advertising decisions in a closed-loop supply chain network. While pricing decisions have received significant attention, advertising decisions have been overlooked. The research develops an operational and tactical plan for promoting advertising programs considering different elasticity effects. The proposed optimization model considers pricing decisions in a comprehensive manner and introduces an improvement to the standard particle swarm optimization algorithm using crowd-learning theory. The findings show that the proposed metaheuristic outperforms alternative solution approaches in terms of computational time and solution quality. The research provides valuable insights for configuring pricing schemes and advertising campaigns to enhance the efficiency of closed-loop supply chains.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Management
Mohsen ElHafsi, Jianxin Fang, Essia Hamouda
Summary: This study discusses the optimal strategy for manufacturers facing customers with different service requirements, proposing a two-step strategy within a continuous time integrated production and inventory control framework, and introducing heuristic policies to address computational complexity.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Management
Martin Albrecht
Summary: This paper introduces an auction mechanism for the coordination of supply chains to efficiently solve lot-sizing problems. The mechanism consists of two stages where the buyer generates supply proposals in the first stage and the bidding process takes place in the second stage. This mechanism is efficient and scalable, identifying optimal solutions in special cases and close-to-optimal solutions in general settings.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2021)
Article
Computer Science, Artificial Intelligence
Ali Zahedi, Amirhossein Salehi-Amiri, Mostafa Hajiaghaei-Keshteli, Ali Diabat
Summary: This study proposed a closed-loop supply chain network model with sales agency and customers, aiming to maximize total profit and considering the role of different customer clusters at various stages. The model was validated for efficiency using metaheuristics and hybrid algorithms in a real-world case study.
Article
Engineering, Industrial
Vinay V. Panicker, Ratnaji Vanga, R. Sridharan
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2013)
Review
Mathematics, Interdisciplinary Applications
Qian Wang, Yong Tian, Lili Lin, Ratnaji Vanga, Lina Ma
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2020)
Article
Transportation
Shahrzad Nikghadam, Ratnaji Vanga, Jafar Rezaei, Lori Tavasszy
Summary: Cooperation between vessel service providers can enhance port performance, as shown by a port simulation model. The model includes explicit information exchange between pilotage and towage service providers, leading to significant time savings and improved performance for both parties. These findings provide empirical evidence of the benefits of cooperation in ports.
MARITIME TRANSPORT RESEARCH
(2023)
Article
Transportation
Emanuel Febrianto Prakoso, Yousef Maknoon, Adam Pel, Lorant A. Tavasszy, Ratnaji Vanga
Summary: This article focuses on improving performance of a loading facility with uncertain truck arrivals due to road congestion. By using machine learning classifiers to predict truck presence probabilities and utilizing a mixed-integer quadratic programming model for real-time slot rescheduling, the proposed method minimizes cost and improves performance.
FRONTIERS IN FUTURE TRANSPORTATION
(2022)
Article
Computer Science, Information Systems
Yong Tian, Qian Wang, Haobin Li, Ratnaji Vanga
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)
