Article
Economics
Qingning Cao, Yuanzhao Tang, Sandun Perera, Jianqiang Zhang
Summary: This paper examines the bundling strategies in a two-level supply chain and explores how costs influence the decisions of both manufacturers and retailers. The findings show that the manufacturer adopts bundling when costs are moderate, while the retailer engages in bundling when costs are medium or moderately low. The study also reveals that bundling can lead to higher supply chain profits, consumer surplus, and social welfare, benefiting both manufacturers and retailers.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Management
Kenji Matsui
Summary: This paper investigates whether a retailer should bargain over the wholesale price with a manufacturer or accept the price determined by the manufacturer. A game-theoretic model is developed to describe a supply chain with one manufacturer and one retailer. The results show that in a single-channel supply chain, the retailer can achieve a higher profit through bargaining, but in a dual-channel supply chain, if the retailer's bargaining power is strong and consumers have high substitutability between channels, accepting the wholesale price can yield a higher profit.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Mojtaba Arab Momeni, Vipul Jain, Kannan Govindan, Amirhossein Mostofi, Soheil Javaheri Fazel
Summary: This paper proposes a new strategy that integrates technological capabilities and supply chain management initiatives to address the challenge of deteriorative products expiring. The strategy aligns with the zero-waste concept in the circular economy era and circular supply chain. The research focuses on integrating a supply chain and developing a buy-back coordination mechanism to incentivize cooperation among members and encourage participation in regenerative operations. The study demonstrates the economic feasibility of the proposed strategy and shows that an integrated supply chain equipped with the mentioned technology can achieve higher profits.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Bo Li, Herui Wang, Wei Zheng
Summary: This study investigates the optimal decisions, profits, and social welfare in a green supply chain when the manufacturer or retailer conducts green product development. The results show that in the manufacturer-led model, the product greenness and leader's profit are higher, while in the retailer-led model, the retail price and wholesale price may vary.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Management
Xianjin Du, Huimin Zhan, Xiaoxuan Zhu, Xiuli He
Summary: The study examines the impact of manufacturer's overconfidence on supplier innovation and supply chain profits under different contract settings, revealing that overconfidence has varying effects in different contract settings, and supplier's unawareness of overconfidence affects the effectiveness of contract settings differently.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Operations Research & Management Science
Wei Lu, Yu Jiang, Panpan Xia, Zhimin Huang
Summary: This study examines how retailer overconfidence affects the supply chain transparency for manufacturers. The results show that in the reselling model, overconfident retailers have a stronger incentive to increase supply chain transparency compared to the agency selling model. Surprisingly, even at a moderate channel substitution rate, overconfident retailers may still promote supply chain transparency, contrary to conventional wisdom. Additionally, from the perspective of entry cost, overconfident retailers are more motivated to increase transparency in the reselling model compared to normal retailers. For the agency selling model, these findings are reversed. Overall, the study sheds light on why some retailers voluntarily share information with manufacturers and highlights the potential benefits of overconfidence bias in certain situations.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Yaqing Xu, Jiang Zhang, Zihao Chen, Yihua Wei
Summary: This paper investigates a supply chain system with discrete stochastic demands in a single manufacturer and multiple retailers setting, utilizing a Stackelberg game model and nonlinear integer programming model to find solutions, with the introduction of Fast Fourier Transform to reduce computational complexity.
Article
Environmental Sciences
Yafei Zu, Deqiang Deng, Lianghua Chen
Summary: This paper studies the optimal strategies for reducing product carbon emissions under different contracts, finding that the consignment contract can achieve a Pareto improvement for the entire supply chain, with varying impacts on the retailer and the manufacturer.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Business
Yi He, Lidong Chen, Jingjing Mu, Azmat Ullah
Summary: This study examines the impact of different contracts on supply chain members' decisions and profits in a manufacturer-retailer-streamer supply chain. The findings suggest that the retailer prefers an only commission contract with a high-ability streamer, benefiting both the retailer and the manufacturer. In certain cases, a win-win-win outcome can be achieved among the manufacturer, retailer, and high-ability streamer.
ELECTRONIC COMMERCE RESEARCH
(2022)
Article
Operations Research & Management Science
Chirantan Mondal, Bibhas C. Giri
Summary: This paper explores a two-echelon sustainable supply chain model and finds that retailer-led revenue sharing can achieve a win-win situation, benefiting consumers, manufacturers, and the entire supply chain.
OPERATIONAL RESEARCH
(2022)
Article
Management
Fanjun Yao, Elena Parilina, Georges Zaccour, Hongwei Gao
Summary: This paper explores the impact of consumers' environmental concern on the strategies and outcomes of a supply chain. Taking a supply chain perspective instead of a single-firm one is more realistic since the retailer has a direct influence on sales through pricing policy. Therefore, the contractual arrangement in the supply chain becomes an important issue.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
R. Bhattacharjee, T. Maiti, B. C. Giri
Summary: This paper examines the impact of payment time on sales volume and interest loss in the marketplace, and proposes a method to adjust wholesale prices based on payment terms. By developing a single-manufacturer and a single-retailer supply chain model and discussing and analyzing in a retailer-Stackelberg game structure, the optimal payment time and its influencing factors are determined.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2023)
Article
Engineering, Industrial
Ganesh Balasubramanian, Arulanantha Prabu Ponnachiyur Maruthasalam
Summary: Manufacturer encroachment and store brand substitution can impact retailers and manufacturers. When national brand and store brand are close substitutes, retailers may not benefit from manufacturer encroachment. Additionally, the substitution effect from store brands can hinder direct selling by manufacturers, impacting manufacturer encroachment. The coexistence of manufacturer encroachment and store brands could potentially lead to a win-win-win outcome for all parties involved.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Environmental Sciences
Zhen Chen, Liangshan Shao, Yanbin Wang
Summary: This paper focuses on the pricing and coordination strategy of a green supply chain, with manufacturers and retailers as the research objects. It investigates the optimal balancing strategy under the reference price effect, considering a risk-averse manufacturer. Various decision-making models are established and the optimal equilibrium strategy is analyzed. Numerical simulation is used for validation and it is found that the cost-sharing contract model outperforms the decentralized decision model.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Management
Binwei Dong, Wansheng Tang, Chi Zhou, Yufei Ren
Summary: This paper examines an OEM's sourcing strategy choice in the presence of competitive and noncompetitive CMs, revealing various factors and effects in different scenarios. Overall, as market competition intensifies, the OEM tends to assist noncompetitive CMs to expand capacity.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Operations Research & Management Science
Congcong Yang, Alfred Taudes, Guozhi Dong
CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH
(2017)
Article
Computer Science, Interdisciplinary Applications
Sven O. Krumke, Alfred Taudes, Stephan Westphal
COMPUTERS & OPERATIONS RESEARCH
(2011)
Article
Engineering, Industrial
Helmut Haberleitner, Herbert Meyr, Alfred Taudes
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2010)
Article
Operations Research & Management Science
Alfred Taudes, Christian Rudloff
MATHEMATICAL METHODS OF OPERATIONS RESEARCH
(2012)
Article
Multidisciplinary Sciences
Jakob Hackel, Hitoshi Yamamoto, Isamu Okada, Akira Goto, Alfred Taudes
Summary: Many studies explore promoting environmentally conscious behavior in public goods systems through various types of incentives. Despite evidence showing the asymmetric effects of economic and social incentives on cooperation, more analysis is needed to draw conclusions for a wider set of incentive possibilities.
Proceedings Paper
Computer Science, Information Systems
Martin Hrusovsky, Alfred Taudes
Summary: The bullwhip effect, where order fluctuations in a supply chain propagate upstream, can be reduced by sharing order or inventory information. However, sharing this information can create vulnerabilities in other areas. To address this, we propose using cryptographic methods to share average order/inventory levels without compromising sensitive data.
DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2022 WORKSHOPS
(2022)
Article
Business
Andreas Thoeni, Alfred Taudes, A. Min Tjoa
INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT
(2018)
Proceedings Paper
Computer Science, Information Systems
Edward W. N. Bernroider, Sebastian Margiol, Alfred Taudes
RESEARCH AND PRACTICAL ISSUES OF ENTERPRISE INFORMATION SYSTEMS, 10TH IFIP WG 8.9 WORKING CONFERENCE, CONFENIS 2016
(2016)
Proceedings Paper
Computer Science, Information Systems
Feng Tian, Alfred Taudes, Congcong Yang, Aimin Deng
2015 12TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT (ICSSSM)
(2015)
Proceedings Paper
Political Science
Alfred Taudes, Hannes Leo
ELECTRONIC GOVERNMENT AND ELECTRONIC PARTICIPATION
(2014)
Article
Business
Martin Natter, Andreas Mild, Udo Wagner, Alfred Taudes
Article
Business
Martin Natter, Thomas Reutterer, Andreas Mild, Alfred Taudes
Article
Economics
A Taudes, M Trcka, M Lukanowicz
JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION
(2002)
Article
Management
M Natter, A Mild, M Feurstein, G Dorffner, A Taudes
MANAGEMENT SCIENCE
(2001)
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)