Article
Economics
Peiyue Cheng, Tingsong Wang
Summary: This article investigates the joint effect of policies and operational measures in a carbon-constrained closed-loop supply chain network model. The results show that the retailer-led mode promotes resource recovery and supply chain performance but weakens manufacturers' profit. Carbon caps and trading scheme are effective in emission reduction, indicating the importance of carbon caps allocation method. Government subsidies stimulate green manufacturers to reduce emissions, and environmental awareness positively affects emission abatement level.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Green & Sustainable Science & Technology
Chui-Yu Chiu, Chen-Yang Cheng, Ting-Ying Wu
Summary: The concept of green supply chain has been embraced by companies to reduce resource waste, with government subsidy being identified as a key factor impacting net income more than the recycling rate of used products.
Article
Green & Sustainable Science & Technology
Jianteng Xu, Peng Wang, Qi Xu
Summary: This paper investigates the impact of recycling subsidy and carbon tax policies on green closed-loop supply chains, analyzes the issue of information asymmetry, and proposes solutions for optimal decisions and performance.
Article
Computer Science, Artificial Intelligence
Kazi Wahadul Hasan, Syed Mithun Ali, Sanjoy Kumar Paul, Golam Kabir
Summary: The benefits of the circular economy are driving industries to form closed-loop supply chains (CLSCs) that minimize cost and environmental impact. However, disruptions in the production process hinder the attainment of these objectives. This study develops a complex mathematical model to minimize total cost, energy consumption, CO2 emissions, and waste generation by considering disruption risks. Three existing heuristics and an updated hyper-heuristic algorithm are employed to compare their efficiency and effectiveness. The results show that CLSCs can mitigate production shortages and reduce costs, energy consumption, CO2 emissions, and waste generation.
APPLIED SOFT COMPUTING
(2023)
Article
Green & Sustainable Science & Technology
Yigit Kazancoglu, Damla Yuksel, Muruvvet Deniz Sezer, Sachin Kumar Mangla, Lianlian Hua
Summary: This article introduces a complex multi-objective optimization model for green dual-channel supply chain network design, aiming to optimize network flow by achieving economic and environmental objectives. By reducing CO2 emissions and particulate matter concentration, environmental goals are met, while minimizing overall costs also meets economic objectives.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Artificial Intelligence
Hossein Mirzaee, Hamed Samarghandi, Keith Willoughby
Summary: Due to increasing air pollution caused by production in various industries, green supply chain management (GSCM) has gained attention. This paper studies the problem of green supplier selection in a closed-loop supply chain considering both green and non-green evaluation criteria, and proposes a cap-and-trade mechanism to control air pollution caused by manufacturers. To solve this problem, a multi-objective robust optimization (RO) model is proposed. A numerical example using randomly generated data validates the model. Results show that the developed model effectively enhances decision-making and the cap-and-trade mechanism improves the total utility of the supply chain compared to a penalty-based system within a specific range of carbon allowance.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Economics
Yuting Quan, Jiangtao Hong, Jingpu Song, Mingming Leng
Summary: This study examines the trade-in service in a closed-loop supply chain with a manufacturer and a retailer. The findings suggest that both firms prefer to operate the trade-in service by themselves in most cases, and identify the conditions under which the supply chain benefits from a scenario. Trade-in customers can enjoy different prices in the two scenarios.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Green & Sustainable Science & Technology
Zhongwei Yu, Yang Lin, Yingming Wang, Mark Goh
Summary: This paper presents a systematic two-stage analysis to improve coordination in a three-echelon closed-loop supply chain under differentiated carbon tax regulation. The study applies non-cooperative and cooperative game theory to explore optimal operations and achieve profit coordination. The results show that adjusting carbon tax rates on different products can effectively reduce emissions and a grand coalition can achieve optimal environmental and economic performance. The proposed Shapley value algorithm incorporating differentiated carbon tax costs improves the utilities of carbon taxpayers and benefits policy formulation and industrial practices.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Jie Jian, Bin Li, Nian Zhang, Jiafu Su
Summary: This paper examines the decision-making process of a green closed-supply chain involving a manufacturer and a retailer. It analyzes the decisions and reasons of supply chain members under centralized and decentralized decision-making scenarios. The study finds that a profit-sharing contract can enhance the relationship between supply chain members and promote sustainable economic and environmental development.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Management
Jian Li, Kin Keung Lai, Yongming Li
Summary: This paper investigates the interaction mechanism between carbon tax and cap-and-trade in closed-loop supply chains and the impact of multiple carbon policies. The findings show a non-linear complementary relationship between carbon price and carbon tax, and demonstrate that remanufacturing and low-carbon investment can optimize cost and carbon emissions. Moreover, a mixed strategy combining remanufacturing and low-carbon investment is effective in simultaneously optimizing cost and carbon emissions.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Benrong Zheng, Liang Jin
Summary: This study examines the issue of remanufacturing patent licensing in secondary markets and compares two relicensing schemes. The results show that the OEM earns higher profits when licensing a third-party for remanufacturing, and consumers benefit more in this model. Additionally, when consumers have a high willingness-to-pay for remanufactured products, the OEM licensing the retailer for remanufacturing performs better.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Lily Poursoltan, Seyed-Mohammad Seyed-Hosseini, Armin Jabbarzadeh
Summary: This study introduces a green closed-loop supply chain framework for ventilators, addressing environmental sustainability and carbon emissions constraints, using a stochastic optimization model with strategic and tactical decision making. The proposed model is applied to a case study of Iranian medical ventilator production to analyze the impact of carbon emissions and demand variations on the optimal solution in the COVID-19 pandemic context. Sensitivity analyses show the managerial dimensions of the proposed model under the COVID-19 pandemic.
Article
Green & Sustainable Science & Technology
Lang Liu, Yutao Pu, Zhenwei Liu, Junjie Liu
Summary: This paper builds a green closed-loop supply chain model using generalized stochastic Petri nets (GSPN) and converts it into a Markov model to calculate the steady-state probability. The model is analyzed from the perspectives of time performance and operation efficiency of each link. Compared to previous studies, this paper finds that when the whole green closed-loop supply chain system reaches a dynamic equilibrium state, the product has a steady-state probability at all stages, and decision makers need to focus on the supervision and management of key links such as marketing, packaging processing, market feedback, and market demand formulation. Managers of green closed-loop supply chain systems need to adjust their decision-making strategies in a timely manner to ensure efficient operation of the system. This paper provides theoretical support for improving the operational efficiency of green closed-loop supply chain system and offers new ideas for research on green closed-loop supply chain operation mode.
Article
Computer Science, Interdisciplinary Applications
Alireza Goli
Summary: Blockchain technology is a new financial concept that speeds up supply chains and improves the accuracy and speed of financial transactions in international trades. A comprehensive framework has been proposed to design a blockchain-enabled closed-loop supply chain, taking into account the role of the product portfolio. The results show that by optimizing the proposed mathematical model, the financial indexes of the supply chain, especially the change in equity, can be significantly improved. Compared to the integrated portfolio-supply chain model, this framework has a lower error rate and reduced lost revenue.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
M. Masanta, B. C. Giri, P. Das
Summary: This study investigates a multi-echelon closed-loop supply chain model integrating learning impact. The findings suggest that the learning effect can outweigh the loss caused by inspection errors, benefiting both the consignor and the consignee.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Industrial
Shuai Liu, Guowei Hua, T. C. E. Cheng, Tsan-Ming Choi, Jing-Xin Dong
Summary: This paper investigates the pricing strategies and impact of a logistics robot sharing platform. It finds that a high service response speed may not bring benefits to the platform, but it can still profit from additional services if customers are sensitive to them. Two extended models are explored, namely the model with endogenous additional services and the case considering the service response speed.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Tsan-Ming Choi, Lipan Feng, Yongjian Li
Summary: Corporate social responsibility is crucial for fashion companies, and they need to consider ethics in product development. Using game theory modeling analysis, we identify key factors that influence optimal decisions in fashion product development. We also propose practical measures to encourage ethical operations and discuss potential moral hazard problems.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Bin Shen, Yuan Xin, Tsan-Ming Choi, Kejing Zhang
Summary: In this study, game-theoretical models were developed to analyze the optimal renter's integration strategies (RISs) in a luxury supply chain with conspicuous consumers. The findings suggest that integration is not always a wise strategy for the renter and the optimal strategy depends on the proportion of conspicuous consumers and the trade-off between profit maximization and retail competition effects. The study also evaluates the environmental impacts of different RISs and discusses the effects of consumer segmentation on the optimal strategy.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Tsan-Ming Choi, Ting Zhang
Summary: This paper explores the impact of altruistic behaviors of a newsvendor in a two-echelon supply chain on the upstream manufacturer and the system performance. It finds that altruistic behavior of a risk-neutral or risk-seeking newsvendor benefits the manufacturer and the supply chain, while altruistic behavior of a risk-averse newsvendor harms them. The study also shows that the altruistic behavior of the manufacturer can increase the expected profit of the whole supply chain.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Industrial
Yadong Xu, Guowei Hua, T. C. E. Cheng, Tsan-Ming Choi, Yisong Li, Shuai Liu
Summary: Consumer behavior has changed in the e-commerce age, with more consumers tending to purchase multiple versions of apparel products and return those that do not meet their requirements. This paper explores how retailers should handle these bracketing consumers and provides managerial insights.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Jiaxin Lin, Tsan-Ming Choi, Yong-Hong Kuo
Summary: Dual-channel e-commerce retailers commonly offer return freight insurance (RFI) to resolve disputes regarding product returns, but not all retailers provide it. By building consumer-utility-based analytical models, we find that retailers who purchase RFI for consumers do not necessarily charge higher prices. The study highlights the importance of the RFI premium and its impact on consumer surplus and social welfare.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Xiaoping Xu, Luling Yan, Tsan-Ming Choi, T. C. E. Cheng
Summary: Blockchain technology has been widely applied in various industries, including remanufacturing. This paper explores the combination of remanufacturing and blockchain and proposes a supply chain model involving a manufacturer, a third-party firm, and an online platform. Through a game analysis, it is found that the optimal production quantities and collection rates increase with the allocated cap and platform-enabled power. Additionally, the adoption of blockchain depends on the emissions intensity.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Industrial
Dmitry Ivanov, Alexandre Dolgui, Jennifer V. Blackhurst, Tsan-Ming Choi
Summary: The COVID-19 pandemic has led to the emergence of new research areas in supply chain resilience, including viability. Viability extends the understanding of resilience from performance-based assessment to the survivability of supply chains and ecosystems during both short-term disruptions and long-term crises. This editorial paper reviews the existing literature on supply chain viability, identifies seven major pillars of supply chain viability theory, and suggests future research directions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Yingjia Wang, Xiaoyan Xu, Tsan-Ming Choi, Bin Shen
Summary: Fashion knockoffs, although harmful in general, can actually benefit the original-designer-label supply chain and its agents under certain conditions, as shown by our game-theoretical models considering risk attitudes.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Manufacturing
Xuanming Bai, Tsan-Ming Choi, Yongjian Li, Xiaochen Sun
Summary: This study uses game-theoretical models to investigate how firms should adjust their trade-in strategies in response to the emergence of resale platforms. The study finds that the trade-in-for-upgrade (TU) mode encourages consumer repurchases, while the trade-in-for-upgrade-and-cash (TUC) mode has a greater promotion effect on consumers' first purchases. The presence of a resale platform does not affect the amount of the trade-in rebate in the TUC mode, but in the TU mode, the firm should provide a more generous trade-in rebate depending on the unit product cost. The firm should choose the TU mode to take advantage of the platform's promotion effect if the unit product cost is high and choose the TUC mode to avoid the platform's cannibalization effect if the unit product cost is low.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Public, Environmental & Occupational Health
Shu Guo, Tsan-Ming Choi
Summary: This article aims to explore the design of sterilization legislation for second-hand clothing supply chains in Least Developed Countries (LDCs). The popular import of second-hand clothing in LDCs, along with the associated social health risks and lack of relevant legislations, pose significant challenges.
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)
Article
Operations Research & Management Science
Abhishek Srivastava, Tsan-Ming Choi, Aarushi Mahajan, Vivek Roy
Summary: Manufacturers are taking proactive measures to counter gray markets by implementing strategies such as price adjustment flexibility and flexible channel choices to reduce product diversion and mitigate the risk of unauthorized sales. These strategies help improve overall profitability.
NAVAL RESEARCH LOGISTICS
(2023)
Article
Management
Aasheesh Dixit, Tsan-Ming Choi, Patanjal Kumar, Suresh K. Jakhar
Summary: This paper examines the impacts of reciprocity and fairness concerns on environmental sustainability in a single-airport two-airlines system through the analysis of mathematical models. The results show that reciprocity from the airport towards an airline improves the greening level, and the presence of fairness concerns affects revenue-sharing fraction. Enhancing passengers' environmental awareness is favorable for enhancing environmental sustainability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Ting Zhang, Tsan-Ming Choi, Tai-Chiu (Edwin) Cheng
Summary: Social comparisons during the purchase of public products can affect firms' pricing, quality, and product-line strategies. Greater social-comparison benefit reduces price competition and increases profits, while higher social-comparison cost intensifies price competition and decreases profits. Product quality differences and product-line extension strategies are also influenced by social comparisons.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(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)
