Article
Multidisciplinary Sciences
Fabian Stoeckl, Wolf-Peter Schill, Alexander Zerrahn
Summary: Green hydrogen production can help reduce carbon emissions in the transportation sector, but its interactions with the power sector need further study. There is a trade-off between energy efficiency and temporal flexibility in hydrogen supply chains, with different production methods optimal depending on the share of renewables and hydrogen. Large-scale hydrogen supply chains can deliver substantial power sector benefits by reducing renewable curtailment.
SCIENTIFIC REPORTS
(2021)
Article
Green & Sustainable Science & Technology
Kanying Liu, Wei Li, Fu Jia, Yong Lan
Summary: Behaviour-based pricing considers customer willingness to pay, behavioural characteristics, and purchase histories to dynamically adjust pricing strategies, promoting the development of green products. This paper explores pricing decisions and coordination mechanisms in the green product supply chain under a behavioural pricing model, comparing centralization and decentralization scenarios for optimal pricing and supply chain decision-making.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Green & Sustainable Science & Technology
Viviana D'Angelo, Valeria Belvedere
Summary: This article explores the overlap between green supply chains and digital supply chains using bibliometric analysis. By analyzing the bibliographic data of 131 studies, the intellectual structure of these research domains and the different levels of overlap in the identified clusters were examined. The results reveal gaps in academic research on green and digital supply chains and suggest further exploration on the potential benefits for companies in terms of environmental and operational performance.
Article
Green & Sustainable Science & Technology
Liurui Deng, Wentang Xu, Juan Luo
Summary: The implementation of green supply chain management, which combines environmental awareness and economic development, is an effective sustainable development approach. Introducing the concept of green effectively is the main direction for the sustainable development of agriculture in the future. Research shows that green credit policies have positive incentive mechanisms in agricultural supply chains, benefiting both farmers and banks, while also improving the overall utility level of the supply chain.
Article
Engineering, Environmental
Liqiang Chen, Ming Gao
Summary: This study focuses on the service functions in online recycling and establishes four models to optimize the profits of supply chain members. Through numerical simulations, it was found that the manufacturer's self-built platform + recycling channel model provides better prices and service quality when the recycling incentive upper limit is within the range of (0, 3).
Article
Green & Sustainable Science & Technology
Xiaoli Jiang, Minghui Shao, Buhe Bateer
Summary: Carbon fiber-reinforced polymer composites have become widely used in modern life. Although there have been advancements in recycling techniques for composite wastes, the current methods are limited to laboratory scale. This study investigates the environmental and economic impacts of existing recycling techniques and suggests combining conventional and emerging methods for more cost-effective and environmentally beneficial recycling scenarios. The research provides valuable insights for future waste management and sustainable development.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2023)
Article
Economics
Kaiying Cao, Yunyi Su, Guoxin Han, Tsan-Ming Choi
Summary: The study explores two different strategies for trade-in of unused EW, namely not offering a rebate and offering a rebate. The results show that not offering a rebate is better when the percentage of replacement consumers with unused EW and the extra operational cost of providing a rebate are sufficiently large.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Environmental Sciences
Dyfed Rhys Morgan, David Styles, Eifiona Thomas Lane
Summary: This study assesses the environmental impact of packaging and distribution in the life cycle of micro-brewed beer and proposes three mitigation options. The findings show that by changing from single use glass bottles to aluminium cans or reusable glass bottles and using trucks for distribution, participating breweries can achieve reductions across multiple impact categories. However, implementing reusable glass bottles would require significant investment and coordination.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Computer Science, Artificial Intelligence
Qingqi Long, Xiaoying Tao, Ying Shi, Shuzhu Zhang
Summary: As green sensitivity increases, green supply chains can evolve from low to advanced stages. Governments play a leading role in enhancing green sensitivity, encouraging enterprises and consumers to adopt green strategies, and driving the development of green supply chains.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2021)
Article
Energy & Fuels
Bradie S. Crandall, Todd Brix, Robert S. Weber, Feng Jiao
Summary: This article provides a techno-economic assessment of green hydrogen carriers, identifying green formic acid as the most cost-effective and safest option. It also offers research and policy outlooks to guide efforts towards a green hydrogen economy.
Article
Green & Sustainable Science & Technology
Lifan Yang, Yan Wang, Wuyi Zhang, Zhengzhou Tan, Syed Umair Anwar
Summary: This study focuses on decision-making in symbiotic supply chains and derives the conditions for different degrees of symbiosis. The results show that decision-making is influenced by internal and external enterprise factors, with technical and market factors playing a role in partial symbiosis and a threshold formed by these factors in complete symbiosis. Additionally, the impact of government policies (subsidies or taxes) on the symbiotic supply chain is studied through numerical experiments.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Chemistry, Physical
Zhijie Yang, Haibo Huang, Feng Lin
Summary: This article examines the environmental impact of Li-ion batteries (LIBs) and compares their environmental sustainability with EVs. By reviewing life cycle assessment studies, the article provides insights into materials development, manufacturing, recycling, and discusses the future technological development.
ADVANCED ENERGY MATERIALS
(2022)
Article
Green & Sustainable Science & Technology
Adel A. Alamri
Summary: This paper proposes a new mathematical expression to represent the percentage of returned items that can be remanufactured. The expression considers both the expected number of times an item can be remanufactured and the number of times it can be optimally remanufactured based on its recovery quality. The model also considers joint production and remanufacturing options.
Article
Economics
Yong Wang, Qiong Jiang, Xu Guan, Xiangyang Guan
Summary: This study investigates the selection and coordination mechanism of recycling modes in a reverse supply chain. The findings suggest that enrolling both traditional recyclers and smart recyclers is the optimal recycling channel strategy, and the competition between them impacts the pricing strategy and profitability of firms. Two coordination contracts are proposed to mitigate the double marginalization issue and improve the overall performance of the supply chain.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Engineering, Chemical
Hui Xuan Oh, Denny K. S. Ng, Viknesh Andiappan
Summary: This study proposes a mathematical decision-making model to identify the minimum cost of establishing the hydrogen supply chain. The research finds that liquefied hydrogen is suitable for delivery to oil refineries and power plants, while gaseous hydrogen is suitable for delivery to refueling stations. Distance and hydrogen demand are identified as the two most significant deciding factors.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Operations Research & Management Science
Ana Meca, Greys Sosic
OPERATIONS RESEARCH LETTERS
(2016)
Article
Management
Hailong Cui, Sampath Rajagopalan, Amy R. Ward
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2020)
Article
Management
Fang Tian, Greys Sosic, Laurens Debo
MANAGEMENT SCIENCE
(2019)
Article
Management
Hailong Cui, Sampath Rajagopalan, Amy R. Ward
Summary: This study investigates the impact of manufacturing on return rates using operational data from an automotive accessories manufacturer. Results show that increased worker specialization has a significant U-shaped effect on return rates, increased workload in production leads to higher return rates, and product personalization results in lower return rates.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2021)
Article
Management
Sanjith Gopalakrishnan, Daniel Granot, Frieda Granot, Greys Sosic, Hailong Cui
Summary: This paper explores greenhouse gas emissions in the supply chains of the top 2,500 global companies, proposing a cooperative game theory methodology for a balanced carbon emission allocation scheme. The scheme is transparent and incentivizes suppliers to reduce emissions, while meeting certain desirable properties.
MANAGEMENT SCIENCE
(2021)
Article
Management
Greys Sosic
Summary: Research suggests that there is significant potential to build coproduction plants for seawater desalination in the United States, which could compete financially with existing desalination facilities and reduce carbon emissions. Selective salt recovery can help alleviate the issue of residual concentrate disposal, while also generating additional revenue.
MANAGEMENT SCIENCE
(2021)
Article
Mathematics, Applied
Ana Meca, Greys Sosic
Summary: This paper investigates PMAS profit games with population monotonicity, exploring stable coalition structures and developing relationships under different stability concepts in cooperative games. The study shows that while population monotonicity does not significantly strengthen existing results, there are still general results applicable to arbitrary cooperative games, such as the relationship between vNM farsighted stable sets and core partitions.
Article
Green & Sustainable Science & Technology
Greys Sosic
Summary: The linking of emission permit markets allows participants in different systems to purchase allowances for domestic compliance. However, not all participants prefer this option despite its potential efficiency gains. By formulating the linking problem as a cooperative game, it is shown that linking all jurisdictions satisfies core stability criteria and maximizes gains. Analysis further indicates that the most likely stable configuration includes a market linking Australia, the EU, and the U.S., and another linking Canada with South Korea.
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)