Article
Green & Sustainable Science & Technology
Libin Guo, Yuxiao Shang
Summary: For cross-border e-commerce companies, the study analyzes the strategy of retailers and explores the business strategies of the cross-border e-commerce platform through a Stackelberg game model between two competing retailers. The results show that information-sharing strategies are influenced by market potential and competition intensity, while free shipping strategies depend on market potential and competition intensity as well. The platform's profitability is highest when information sharing and free shipping occur simultaneously. The study also emphasizes the need for appropriate operational strategies to influence the decisions of retailers and carriers.
Article
Energy & Fuels
Ozge Erol, Ummuhan Basaran Filik
Summary: This paper focuses on the energy sharing management of a microgrid comprising photovoltaic wind turbine prosumers with energy storage systems, and plug-in electric vehicle charging stations. It proposes a Stackelberg game approach that allows prosumers to dynamically change roles as buyers or sellers based on pricing policies, and shape their energy consumption strategies using specified decision parameters. Simulation results demonstrate that this approach increases the total profit for the microgrid operator and reduces dependency on the utility grid.
Article
Business
Yanan Yu, Yong He, Xuan Zhao
Summary: Consumer demand information on healthy food can be collected and shared through big data technologies, impacting the evolution of organic farming. Using evolutionary game approach, this study examines the long-term effect of information sharing on producers' organic farming adoption, highlighting the importance of profit matrix under information symmetry and asymmetry. Cooperative forecasting for information sharing can lead to easier equilibrium achievement, with higher green preference and lower effort cost favoring conversion and sharing.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Computer Science, Cybernetics
Xiaogang Cao, Jing Yuan, Hui Wen, Cuiwei Zhang
Summary: This paper uses the Stackelberg game model to study the demand information sharing and pricing decision of a manufacturer and a retailer selling products through the same online platform. The results show that: the pricing strategy of the retailer is the highest when both of them obtain information, while the manufacturer's pricing strategy is affected by the related attributes of different products. In the online platform sales model, the demand information data sharing owned by the online platform can bring more expected profits to the whole supply chain and the members of the supply chain, and the higher the accuracy of the information, the higher the expected profit. When the cost of obtaining demand information is zero, the retailer and manufacturer tend to obtain information, and for the online platform, charging a certain fee can achieve higher expected profits than free sharing.
Article
Computer Science, Information Systems
Chuan Zhang, Hui-Min Ma
Summary: This study examines the e-retailer's incentive to share demand information with competing suppliers and how it influences their selling mode choices. Contrary to conventional wisdom, the findings show that the e-retailer voluntarily shares information when the agency selling mode is adopted. The e-retailer's information sharing strategy is influenced by the commission fee rate, demand uncertainty, and competition intensity.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Yukun Cheng, Xiaotie Deng, Mengqian Zhang
Summary: Transportation sharing in goods, facilitated by the mobile Internet and cloud computing platforms, has become a thriving sector in the sharing economy. However, the influx of competitors has led to an oversupply of vehicles, reducing social efficiency. To address this issue, a business solution is proposed, wherein a joint venture is established to provide shared electric cars for different competitors to operate on, thus reducing infrastructure costs.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Chemistry, Multidisciplinary
Yapin Tian, Chao Yang, Junjie Yang, Xinming Nie
Summary: This paper investigates a mobile vehicle data sharing scheme based on consortium blockchain, which limits decentralization and uses Stackelberg game to obtain the optimal revenue strategy. Load testing shows that the proposed scheme has higher buyer's revenue and better block transmission performance.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Chi Zhang, Tao Shen, Fenhua Bai
Summary: In this article, a smart contract-based and DQ-driven incentive mechanism is proposed to address the problem of perception data sharing with limited resources of IoT devices. The proposed mechanism ensures the security and quality of shared data through the use of smart contracts and DQ evaluation. A TLSNC scheme based on trust scores is designed to obtain maximum social welfare while considering the limitations of computing resources. Numerical results show the effectiveness of the DQ evaluation mechanism and the security of the TEE-based model.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Economics
Huiling Zhong, Fa Zhang, Yimiao Gu
Summary: Blockchain technology is gradually being applied to the container shipping industry to make it more transparent and efficient. This study proposes a game theory-based framework to address decision-making in the emerging blockchain market.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Oceanography
Xu Xin, Miaohui Liu, Xiaoli Wang, Haichao Chen, Kang Chen
Summary: This paper investigates the importance of promoting blockchain technology in the post-COVID-19 era to improve port customs clearance efficiency and logistics transparency. Through the construction of different investment scenarios and the discussion of consumer surplus and social welfare under different cooperation frameworks, it is found that blockchain technology investment can increase the profits of shipping supply chain participants. Balanced investment strategies and the impact of blockchain technology on the logistics capabilities of the shipping supply chain are also identified.
OCEAN & COASTAL MANAGEMENT
(2022)
Article
Computer Science, Artificial Intelligence
Jingyao Song, Changyan Xu, Chuanxu Wang
Summary: The shipping industry plays a crucial role in global trade and economic development, especially in the post-epidemic era where its rapid growth has stimulated global economic recovery. However, as climate change becomes a common concern, reducing greenhouse gas emissions and achieving sustainable development in the shipping industry has become a priority for all stakeholders.
Article
Business, Finance
Jinqiong Lei, Musen Xue
Summary: This study examines the manufacturer's choice between drop-shipping and batch ordering contracts, as well as the retailer's information sharing strategy in the context of product quality decisions. The findings reveal that under the batch ordering contract, the retailer is more likely to share demand information when the quality investment efficiency is high, while under the drop-shipping contract, the retailer always chooses to share information. Without information sharing, the manufacturer selects the batch ordering contract if the revenue-sharing rate is high. With information sharing, the manufacturer prefers the batch ordering contract when either the revenue-sharing rate is low and quality investment efficiency is low or the revenue-sharing rate is high and quality investment efficiency is high, otherwise, the manufacturer favors the drop-shipping contract. Additionally, the results indicate the possible existence of a prisoner's dilemma, where the drop-shipping contract is the dominant strategy for the manufacturer and sharing demand information is the dominant strategy for the retailer.
JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING
(2022)
Article
Operations Research & Management Science
Mingzhu Yu, Qi Gao, Zelong Yi
Summary: In this study, the retailer's information sharing decision in a real supply chain with a single supplier and a single retailer is examined under different counterfeiter encroachment situations. The researchers propose a Stackelberg game model to analyze the optimal wholesale price, order quantity, and production quantity. The information sharing strategies and the impact of the counterfeiter on the authentic supply chain are analyzed. It is revealed that under certain conditions, the retailer voluntarily shares information with the supplier, and the presence of the counterfeiter may increase the profit of the authentic supply chain.
ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Energy & Fuels
Qiao Peng, Xiuli Wang, Yi Kuang, Yifei Wang, Hongyang Zhao, Zhicheng Wang, Jianhu Lyu
Summary: This paper discusses the positive significance of integrating the sharing economy and the power industry for the development of the energy market. A distributed electrical-gas-thermal energy sharing mechanism centered on an energy hub is established to create a more adaptable integrated energy system body. By constructing a Stackelberg model with the integrated energy system operator as the leader and prosumers as the followers, the paper aims to simultaneously optimize profit and comfort, using a distributed algorithm for privacy protection and optimal solution finding.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2021)
Article
Mathematics
Fangfang Guo, Tao Zhang, Xiuquan Huang, Yaoguang Zhong
Summary: Based on the Stackelberg game theory, this paper investigates the incentive effects of five government subsidy strategies on agricultural products in e-commerce. A two-tier e-commerce supply chain is constructed to examine the impact of these strategies on the greenness, price, and profit of the supply chain. The results indicate that government subsidies have a significant effect, with direct subsidization from the government to farmers having the strongest impact on the sales and greenness of agricultural products. This study provides policy implications for governments to establish a sustainable mechanism through direct subsidization.
Article
Engineering, Industrial
Hiroshi Matsuhisa, Nobuo Matsubayashi
Summary: This study investigates the formation of an alliance between competing manufacturers and a monopolistic platform retailer, and analyzes the impact of the degree of differentiation among manufacturers on the formation of the alliance and the profitability of the retailer.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Lingxuan Kong, Ge Zheng, Alexandra Brintrup
Summary: Supply Chain Financing is used to optimize cash flows in supply networks, but recent scandals have shown inefficiencies in risk evaluation. This paper proposes a Federated Learning framework to address order-level risk evaluation.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Jing Gu, Xinyu Shi, Junyao Wang, Xun Xu
Summary: The asymmetric market power between a firm and its partners negatively affects the firm's financial performance. Building relationships with suppliers or customers that have matched market power is the best approach. The strength of the buyer-supplier relationship amplifies the negative impact of asymmetric market power, while the level of relationship embeddedness reduces its negative effect. Moreover, firm-specific institutional, industry, and regional economic heterogeneities also influence the financial impact of asymmetric market power.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yu Du, Jun-qing Li
Summary: This study investigates the group scheduling of a distributed flexible job shop problem using the concrete precast process. The proposed solution utilizes three coordinated double deep Q-networks (DQN) as a learn-to-improve reinforcement learning approach. The algorithm shows superiority in minimizing costs and energy consumption.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Xiaoyu Yan, Weihua Liu, Ou Tang, Jiahe Hou
Summary: This study analyzes the market amplification effect and the impact of entrant's overconfidence on a two-sided platform. The results show that overconfident entrants can lead to price increases and benefit both the existing firms and themselves to a certain extent.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Illya Kaynov, Marijn van Knippenberg, Vlado Menkovski, Albert van Breemen, Willem van Jaarsveld
Summary: The One-Warehouse Multi-Retailer (OWMR) system is a typical distribution and inventory system. Previous research has focused on heuristic reordering and allocation strategies, which are time-consuming and problem-specific. This paper proposes a Deep Reinforcement Learning (DRL) algorithm for OWMR problems, which infers a multi-discrete action distribution and improves performance with a random rationing policy.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yimeng Sun, Ruozhen Qiu, Minghe Sun
Summary: This study considers a multi-period inventory management problem for a retailer offering limited-time discounts and having a joint service-level requirement under demand uncertainty. It proposes a double-layer iterative approach to solve the problem and maximize total profit while balancing the service level using a posteriori method and an affinely adjustable robust chance-constrained model.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Anas Neumann, Adnene Hajji, Monia Rekik, Robert Pellerin
Summary: This paper presents a new mathematical formulation for planning and scheduling activities of Engineer-To-Order (ETO) projects, along with a new ETO strategy to reduce the impacts of design uncertainty. The study proposes a hybrid Layered Genetic Algorithm combined with an adaptive Lamarckian learning process (LLGA) and compares it with the branch-and-cut procedure of CPLEX. The results show good performance of the proposed mathematical model for small and medium-sized instances.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Thilini Ranasinghe, Chanaka D. Senanayake, Eric H. Grosse
Summary: Production systems are undergoing transformative changes, necessitating adaptability from human workers. This study developed an analytical model to account for stochastic processing times and learning heterogeneity, revealing insights into system performance.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Sunil Tiwari, Pankaj Sharma, Ashish Kumar Jha
Summary: Black Swan events such as the COVID-19 pandemic and the Suez Canal blockage have a significant impact on firms' technology adoption decisions, especially in terms of disruptions and digitalization in the supply chains. This study investigates the influence of institutional forces and environmental contingencies on supply chain digitalization from an institutional and contingency theory perspective. The findings emphasize the importance of organizational readiness and people readiness, including top management involvement and employee training, in facilitating digitalization.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Fabio Neves-Moreira, Pedro Amorim
Summary: Omnichannel retailers are using stores as distribution centers to provide faster online order fulfillment services. However, in-store picking operations can impact the offline customer experience. To address this, we propose a Dynamic In-store Picker Routing Problem (diPRP) that minimizes customer encounters while fulfilling online orders. Our solution approach combines mathematical programming and reinforcement learning to find efficient picking policies that reduce customer encounters.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Richard Kraude, Ram Narasimhan
Summary: In this study, the relationship between Vertical Integration (VI) and Environmental Performance (EP) is examined, revealing that highly integrated firms produce less waste but engage in fewer environmental initiatives. These findings are crucial for understanding the impact of stakeholder exposure on organizational behavior.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Review
Engineering, Industrial
Korina Katsaliaki, Sameer Kumar, Vasilis Loulos
Summary: This research conducts a systematic literature review (SLR) and content analysis on Supply Chain Coopetition (SCC) through the PRISMA framework. It examines the theory of coopetition and organizational relationships in intra-firm and inter-firm supply chains, focusing on collaboration between rival manufacturers. The study identifies structures and mechanisms of coopetition, such as buyer-supplier coopetition, supply networks coopetition, and production and distribution/logistics coopetition. It provides a holistic approach to SCC management practices and serves as a guide for future research.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)