Article
Operations Research & Management Science
Fei Cheng, Tong Chen, Xiaodong Jing, Yuting Shen
Summary: Research shows that managers are generally optimistic about the future. In a competitive market, remanufacturers may overestimate consumers' willingness to pay for remanufactured products. A game-theoretic model is developed to analyze competition between an original equipment manufacturer and an independent remanufacturer, and it is found that the remanufacturer's optimistic bias can lead to win-win outcomes.
RAIRO-OPERATIONS RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Lin Qin, Weida Chen, Yongming Zhang, Junfei Ding
Summary: Construction machinery remanufacturing is a crucial decision for OEMs, as it involves high energy consumption, quality uncertainty, and carbon emissions. Three remanufacturing models are established and compared, and optimal mode and strategy are discussed based on product quantity, profits, and carbon emissions. Integrated remanufacturing is selected for maximizing new products quantity under CRS, while authorization remanufacturing is preferred under PRS. Integrated remanufacturing generates the highest amount of remanufactured products and results in the highest profits for OEM. Authorization remanufacturing leads to the lowest carbon emissions under CRS, but the opposite under PRS.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Economics
Baozhuang Niu, Haotao Xu, Lei Chen
Summary: This paper examines consumers' valuation of remanufactured products with and without blockchain quality information and explores the incentives for both the supplier and the remanufacturer to adopt blockchain technology. The research findings suggest that when a manufacturer sells both regular and remanufactured products, the manufacturer is more likely to adopt blockchain technology, while the supplier's preference depends on the consumers' risk aversion and the quality uncertainty of the remanufactured product.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Computer Science, Interdisciplinary Applications
Liwen Liu, Changwei Pang, Xianpei Hong
Summary: This paper examines the impact of consumers' quality preferences on OEMs' patent licensing decisions and profit in the context of remanufacturing. The study finds that the quality of remanufactured products influences the OEM's willingness to license the patented technology and the profit obtained through licensing. Two-part tariff licensing is identified as the optimal patent licensing strategy for the OEM.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Mathematics
Hong Sun, Yan Li
Summary: This paper investigates the acquisition and production problem in the remanufacturing business. Analytically tractable solutions are developed for the deterministic demand model, and the optimal policy structure is fully characterized for the stochastic demand model. The impact of core quality fraction uncertainty on the solutions is also examined. The proposed models and solutions not only address the core acquisition and production problem in remanufacturing but also solve the combinatorial optimization problem.
Article
Business
Cheng-Hu Yang, Xin Ma, Srinivas Talluri, Dmitry Ivanov
Summary: The acquisition of used products is crucial for remanufacturing, but it is difficult to accurately assess the quality of these products due to limited historical information. This article investigates the joint acquisition and remanufacturing problem with a discrete empirical distribution and develops integer programming models to make optimal decisions. The difference between the estimated and true distributions negatively affects the decision-making process, even if the estimated distribution passes a hypothesis test. A multisource information fusion approach is proposed to overcome suboptimal outcomes.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Pengfei Zhao, Qianwang Deng, Juan Zhou, Wenwu Han, Guiliang Gong, Chao Jiang
Summary: This study examines the remanufacturing of single and multiple categories of end-of-life products under uncertainty quality and carbon emissions policies. Three production decision models are proposed, with strategies developed for optimal profit, minimum cost, and effectiveness evaluation. Numerical simulations and comparative studies demonstrate that these models can achieve greater profit and lower carbon emissions in real production settings.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Industrial
Xianpei Hong, Xinlu Cao, Yeming Gong, Wanying Chen
Summary: This study evaluates the performance of a closed-loop supply chain system integrating quality information decisions with remanufacturing operational decisions. It provides a new decision tool to assist green manufacturers in deciding whether to acquire information from a third-party quality assessment agency before disclosing the quality information. The study also finds that profits are higher under mandatory information disclosure when the green manufacturer refuses to assess product quality.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Green & Sustainable Science & Technology
Zongbao Zou, Cong Wang, Qinjia Zhong
Summary: This study analyzes how the retailer's decision on remanufacturing affects the OEM's decision on new product quality. The results show that the retailer's motivation for developing the remanufacturing industry depends on the profitability of remanufactured products and the OEM's strategy. The OEM can influence the retailer's decision by improving the quality of new products when the profitability of remanufacturing is moderate. However, when the profitability is high, the OEM cannot prevent the retailer from developing remanufacturing.
Article
Computer Science, Interdisciplinary Applications
Kai Li, Jing Liu, Hong Fu, NengGui Zhao
Summary: Research on remanufacturing has shifted towards a more comprehensive approach, focusing on the integration of multiple product lifecycles. Future studies will continue to explore the competitive and cooperative relationships among stakeholders in the supply chain.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2021)
Article
Computer Science, Cybernetics
Bangyi Li, Juan Tang, Zhi Liu, Bengang Gong
Summary: This study investigates the operational strategies of remanufacturing considering uncertain quality of EOL products and differential consumers' WTP for new products. The results suggest that if the OEM's remanufacturing capability is high, the in-house mode brings the highest environmental performance, OEM's profit, and consumer surplus. Otherwise, the outsourcing mode is the best benefit to the environment (and consumers if the unit production cost of new products is not too high). The preference of the decision-makers and the third-party remanufacturer to different remanufacturing modes is affected by consumers' WTP for new and remanufactured products and the quality level standard. These findings provide practical insights into remanufacturing mode selection under uncertain product quality and differential consumers' WTP.
Article
Business
Conghu Liu, Jian Chen, Xiaoqiao Wang
Summary: Research shows that consumer concerns about the quality of remanufactured products hinder the large-scale development of the remanufacturing industry. To address this issue, a quantitative evaluation model was proposed to assess the quality of remanufactured products. The model established the quality loss function of remanufactured parts based on Taguchi's quality concept and examined the relationship between social loss, functional limit, and quality loss of remanufactured products. The parameter estimation algorithm based on a neural network was also evaluated to handle dynamic changes and uncertainties in remanufacturing technology and the market. The model's application was demonstrated through a case study on the quantitative evaluation of remanufactured engines, which was verified through market feedback. This article provides new and effective tools and insights for practitioners and decision-makers to enhance the quality of remanufactured products and bridge the gap in consumer cognition, with the aim of promoting the high-quality development of the remanufacturing industry.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Engineering, Industrial
Huiying Mao, Wenbin Wang, Conghu Liu, Yi Xu, Shuiying Zhao
Summary: This study examines the impact of a government-implemented carbon emission quota policy on the remanufacturing industry. The results show that the policy incentivizes remanufacturers to improve product quality and increase production. However, the size of the carbon emission limit has a positive or negative effect on total carbon emissions.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Review
Environmental Sciences
Jiali Zhao, Zheng Xue, Tao Li, Jinfeng Ping, Shitong Peng
Summary: This study developed a prediction model to forecast the energy consumption, completion time, and probability of processing routes in the remanufacturing process. Using the graphical evaluation and review technique (GERT) to convert the remanufacturing process into an uncertain network, considering multivariant uncertainties instead of merely stochastic uncertainty in prior works.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Business
Yibin Zhang, Jiangtao Hong, Xue Li, Victor Shi
Summary: This study proposes a holistic supply chain quality management framework to explore the relationship between supply chain quality system integration, supply chain relationship quality, and quality performance, and validates the model using empirical data. The results demonstrate that supply chain quality management plays a crucial role in helping companies achieve high quality.
EMERGING MARKETS FINANCE AND TRADE
(2022)
Article
Management
Dongmei Xue, Ruud H. Teunter, Stuart X. Zhu, Weihua Zhou
Summary: This paper examines a duopoly channel in the context of the smartphone industry, where a high-end firm sells its own brand at a high profit margin and a low-end firm sells its own brand at a low profit margin but can differentiate by remanufacturing high-end cores. The study analyzes how cost structure and customers' valuation influence the equilibrium strategies of both firms, including conditions for the low-end firm to engage in remanufacturing and how the high-end firm reacts to maintain its market share.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Management
Michiel A. J. Uit Het Broek, Ruud H. Teunter, Bram de Jonge, Jasper Veldman
Summary: This study investigates the value of condition-based load-sharing for two-unit systems with economic dependency, finding that substantial cost savings of up to 40% can be achieved compared to the optimal condition-based maintenance policy. The structure of the optimal policy is influenced by maintenance setup costs and penalties for not meeting production targets.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Management
Dennis Prak, Ruud Teunter, Mohamed Zied Babaic, John E. Boyland, Aris Syntetos
Summary: Existing methods for estimating parameters in inventory control lack guidance, with traditional MM and ML estimators proving to be less robust. We propose a new MM alternative that outperforms standard methods in accuracy and performance.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Management
Weijian Zhang, Xianliang Shi, Anqiang Huang, Guowei Hua, Ruud H. Teunter
Summary: Combating epidemics is a significant threat to humanity, and quick access to sufficient medical supplies is crucial. This study is the first to consider capital reserves in addition to physical stocks, and it reveals that increased demand uncertainty can lead to lower safety stock levels, making reliance on capital reserves a better option.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Fabio Neves-Moreira, Jasper Veldman, Ruud H. Teunter
Summary: Service operation vessels have become the dominant mode for maintaining offshore wind farms, but current repair kit problem approaches fail to account for all characteristics. Proposed mixed-integer programming models aim to determine and validate repair kits under different weather conditions to reduce turbine downtime and allow emergency resupplies. Valuable insights on repair kit composition and relevant business indicators for various scenarios are provided, emphasizing the importance of adapting repair kits based on weather forecasts and the potential for significant downtime reductions through emergency resupply allowances.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Engineering, Industrial
Michiel A. J. Uit Het Broek, Ruud H. Teunter, Bram de Jonge, Jasper Veldman
Summary: Condition-based maintenance and production policies play important roles in manufacturing industry as they can reduce costs and improve reliability by dynamically adjusting production rates and implementing maintenance. Integrating maintenance and production policies together can effectively lower failure risks and achieve higher cost savings.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Niels van der Laan, Ruud H. Teunter, Ward Romeijnders, Onur A. Kilic
Summary: This paper addresses the data-driven newsvendor problem under a service-level constraint. Existing approaches suffer from overfitting and fail to achieve the target service-level. To overcome this issue, the authors propose new data-driven approaches based on distributionally robust chance constrained optimization. Extensive experiments, including simulations and a real-life bikesharing system, demonstrate the effectiveness of the proposed methods.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Management
T. A. Arno Kasper, Martin J. Land, Ruud H. Teunter
Summary: This study proposes a shift towards system state dispatching in the production control literature on high-variety manufacturing. The results show that FOCUS enables a big leap forward in production control performance, significantly reducing the number of orders delivered late and mean tardiness compared to state-of-the-art production control methods.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Management
Luoyi Sun, Guowei Hua, T. C. E. Cheng, Ruud H. Teunter, Jingxin Dong, Yixiao Wang
Summary: Online sharing platforms have gained attention in various industries and have potential for the 3D printing industry. This paper explores the optimal pricing strategy for a 3DP capacity sharing platform and examines how usage level and printer heterogeneity impact consumers' choice between owning or renting. The study emphasizes the importance of technological progress in reducing printer prices to benefit the industry.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Ruud H. Teunter, Stefan Kuipers
Summary: This study examines the optimal inventory control of two products with demand substitution. Using a simplified Economic Order Quantity model, the authors present new insights into the optimal ordering strategies for two substitute products and find that partial substitution is always achieved through one-way substitution rather than two-way substitution.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Management
Yue Cai, Ruud H. Teunter, Bram de Jonge
Summary: Developments in sensor techniques enable continuous monitoring and better prediction of failures in operating systems, leading to improved maintenance decisions. This study presents a novel fully data-driven approach for condition-based maintenance, which sets the maintenance threshold purely based on past condition data and failures. Numerical results demonstrate the convergence of the data-driven approach to the optimal threshold.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Industrial
T. A. Arno Kasper, Martin J. Land, Ruud H. Teunter
Summary: Reducing Work-In-Process (WIP) in manufacturing systems has advantages such as predictable throughput times and increased manageability. Various WIP control methods, including CONWIP and Kanban for repetitive manufacturing, and LUMS COR and POLCA for high-variety manufacturing, have been developed. By simultaneously considering release, authorization, and dispatching decisions, the non-hierarchical method DRACO outperforms traditional methods and improves overall manageability.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Engineering, Manufacturing
Luoyi Sun, Guowei Hua, Ruud H. Teunter, T. C. E. Cheng, Zuo-Jun Max Shen
Summary: The rapid development of blockchain technology has prompted traditional centralized intermediaries to rethink their transaction models, especially in the peer-to-peer market. Token-based blockchain systems with cryptocurrency are gaining popularity, but little is known about how they compare to non-token-based systems. This study uses an analytical framework to determine the optimal strategies for both types of platforms and analyzes their properties and characteristics. The findings suggest that transitioning from non-token-based platforms to token-based platforms can increase social welfare, unless the non-token-based system has significantly higher prices. Additionally, the research finds that token-based platforms have higher matching probabilities and government interventions can improve social welfare by promoting fair consensus mechanisms and higher decentralization levels.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Economics
Yixiao Wang, Eric Pels, Ruud H. Teunter, Luoyi Sun, Jianhong Wu
Summary: This study uses a game theoretic model to analyze the impact of infrastructure pricing regulation on various aspects, such as demand, social welfare, and investment in transport management. The study finds that product differentiation by transport operators and profit/welfare orientation of infrastructure operators significantly affect the sensitivity of transport mode to access charges. Additionally, numerical studies show that the introduction of HSR on-track competition and congested infrastructures have different effects on industry benefits and consumer surplus in European and Chinese markets.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Management
Meng Wu, Stuart X. Zhu, Ruud H. Teunter
Summary: The research discusses the advantages of firms offering advance orders for new products, analyzing the trade-offs between these advantages and the revenue loss from selling at a discount in advance. The study also examines the question of whether firms should advertise the advance ordering opportunity for strategic consumers. Several structural insights into the optimal policy are provided, showing that the policy is driven by the proportion of strategic consumers and the discount level needed to encourage advance purchases.
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)
