Article
Operations Research & Management Science
Elnaz Kanani Kuchesfehani, Elena M. Parilina, Georges Zaccour
Summary: This study models a closed-loop supply chain as a stochastic dynamic game, considering the strategic interactions between the manufacturer and retailer, the intertemporal nature of product remanufacturing, and the uncertainty in parameter values. It characterizes and compares the solutions in two different scenarios and provides numerical experiments.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Environmental Sciences
Yanting Huang, Yuqing Liang
Summary: This study investigates the impact of online and offline dual recycling channels in a closed-loop supply chain, and how government subsidies affect pricing decisions and recycling mode selection of channel members. Findings show that in dual recycling modes, remanufacturers can maximize profits by setting appropriate recycling and transfer prices, while collectors prefer single offline recycling due to competitive threats from online recycling. The relationship between collection quantities in the three modes depends on consumer preferences for the online recycling channel. Additionally, government subsidies play a positive role in promoting recycling and remanufacturing willingness of remanufacturers and collectors.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Zhe Wang, Yue Wang, Bangyi Li, Yongbo Cheng
Summary: In order to enhance the product ecological design and collection efficiency of closed-loop supply chain, the paper proposes three responsibility sharing models and investigates their impact on optimal decisions and profits. The study shows that responsibility sharing can improve the collection efficiency of the supply chain and the optimal sharing ratios depend on the relative environmental impact of using recycled materials.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Benrong Zheng, Kun Wen, Liang Jin, Xianpei Hong
Summary: This paper investigates two recycling cooperation modes, the recycling alliance mode and cost sharing mode, in a closed-loop supply chain. The optimal choice of recycling cooperation depends on the remanufacturing efficiency and the relative recycling cost efficiency of the manufacturer and retailer. The analysis shows that both recycling modes can lead to improvements for the manufacturer and retailer, with the retailer preferring the cost-sharing mode.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Engineering, Industrial
Dandan Gao, Nengmin Wang, Zhengwen He, Li Zhou
Summary: This paper investigates the impact of return decisions on the bullwhip effect in the online closed-loop supply chain. The analysis reveals that setting the inspection system on logistics centre can effectively mitigate the bullwhip effect in most cases. Additionally, consumers' return and exchange behaviors in e-commerce have different impacts on the supply chain efficiency.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Haitao Chen, Zhaohui Dong, Gendao Li, Kaiqi He
Summary: This paper investigates remanufacturing process innovation, pricing decisions, and cost-sharing mechanism in a closed-loop supply chain under different power structures. The Nash model shows the most effective performance among the three models, while the retailer in the Retailer-led model has the highest optimal cost-sharing proportion, which is not affected by consumers' perception of remanufactured products.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Zuqing Huang, Wei Shao, Lijun Meng, Guoqing Zhang, Qiang (Patrick) Qiang
Summary: This study explores how to increase profits and encourage consumer participation in closed-loop supply chains through licensing agreements and pricing strategies in the presence of disruptions in collection and remanufacturing costs. The results show that a centralized supply chain is more effective in encouraging consumer participation compared to a decentralized supply chain; in the event of disruptions in collection or remanufacturing costs, profits for OEMs and TPRs will greatly increase, and OEMs will raise licensing fees to extract more profit; there exists a certain region of price resilience when disruptions increase in the supply chain.
Article
Thermodynamics
Jing Zhao, Qin Zhang
Summary: In the photovoltaic industry, lead time management is a key issue, with cost-sharing contracts proving effective in controlling the lead time of module manufacturers. The reduction in government subsidies impacts production capacity and profit.
Article
Green & Sustainable Science & Technology
Ehsan Shekarian, Ahmadreza Marandi, Jukka Majava
Summary: The study examines the impacts of various factors in a closed-loop supply chain system with a dual-channel, introducing a new demand function format and considering the effects of different collection settings. Consumers' willingness to choose remanufactured products is found to have a more significant influence on prices and profits than their sensitivity to the carbon footprint.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Green & Sustainable Science & Technology
Yahia Zare Mehrjerdi, Mohammad Shafiee
Summary: This paper addresses the integration of sustainability and resilience in the supply chain, emphasizing the importance of information sharing and multiple sourcing strategies for enhancing supply chain resilience. The study utilizes fuzzy TOPSIS and a multi-objective mixed-integer programming model to optimize cost, energy consumption, and pollution while increasing job opportunities in the closed-loop supply chain. Real data from a tire industry is used to validate the proposed model, highlighting the necessity of combining sustainability and resilience in supply chain management.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Industrial
Shupeng Huang, Haiyan Lu, Junyi Lin, Borja Ponte
Summary: The effective operations of closed-loop supply chains are beneficial in achieving sustainability goals and economic performance. This study explores how the stochastic capacity constraint of collection stations influences the bullwhip effect in closed-loop supply chains. The research findings suggest that looser or more stable capacity constraints at collection stations tend to reduce the bullwhip effect, but interactions between relevant parameters should be considered. Additionally, a trade-off between sustainability and economic performance is identified when partial backlog in return collection is associated with the stochastic capacity constraint of a collection station.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Operations Research & Management Science
Renbang Shan, Li Luo, Ran Kou
Summary: This paper examines the cost-sharing strategies of a manufacturer, retailer, and third-party recycler in a Stackelberg game considering government subsidy and retailer's service effort. The study finds that the service investment cost-sharing strategy is ineffective for profit coordination, while recycling and service and recycling investment cost-sharing strategies can achieve profit coordination under certain conditions. Changes in factors such as government subsidy and service sensitivity coefficients affect the effectiveness of cost-sharing strategies.
RAIRO-OPERATIONS RESEARCH
(2021)
Article
Economics
Lingxian Fu, Jie Tang, Fanyong Meng
Summary: This paper investigates the reverse channel in dynamic closed-loop supply chain system and analyzes the decisions and profits of supply chain members considering the quantitative characteristics of products. The study shows the diverse optimal collection decisions for different development levels of the supply chain. A transfer payment coordination mechanism based on the Nash bargaining model is proposed to address the objective inconsistency between the supply chain and its members. Additionally, a case study using statistical data of Chinese new energy vehicles demonstrates the robustness of the results and offers recommendations for government and NEV managers in China.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Computer Science, Interdisciplinary Applications
Yue Yu, Honglin Yang, Zhiyuan Zhen
Summary: This paper explores the issue of channel selection in a closed-loop supply chain, involving a manufacturer, an e-commerce platform, and a third-party collector. The manufacturer has three collection modes to choose from, namely platform collection, collector collection, and dual-channel collection. The optimal collection prices for the manufacturer, platform, and collector are determined through a two-echelon Stackelberg game. The study also investigates the equilibrium evolution of channel selection under supply disruption and price shock. Two re-entry strategies, side payment, and vertical shareholding, are proposed to assist the collector in rejoining the supply chain, with vertical shareholding being more effective under weak competition intensity.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Industrial
Shuzhen Chen, Yuchen Pan, Desheng Wu, Alexandre Dolgui
Summary: This paper develops a game model to analyze the long-term collection strategies in a closed-loop supply chain with a manufacturer, a remanufacturer, and a retailer. The results show that the manufacturer can develop the remanufacturing technology quickly and achieve higher profits under certain conditions. The choice between direct and indirect reverse channels depends on the entry barrier and cost advantage.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Jiaping Xie, Yu Xia, Ling Liang, Weisi Zhang, Minghong Shi
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2018)
Article
Computer Science, Interdisciplinary Applications
Lingcheng Kong, Ling Liang, Jianhong Xu, Weisi Zhang, Weijun Zhu
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2019)
Article
Green & Sustainable Science & Technology
Jiaping Xie, Lihong Wei, Weisi Zhang, Yu Xia, Jing Li
Article
Computer Science, Interdisciplinary Applications
Guoshu Dong, Lihong Wei, Jiaping Xie, Weisi Zhang, Zhefu Zhang
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2019)
Article
Computer Science, Interdisciplinary Applications
Guoshu Dong, Lihong Wei, Jiaping Xie, Weisi Zhang
COMPUTERS & INDUSTRIAL ENGINEERING
(2020)
Article
Computer Science, Interdisciplinary Applications
Ling Liang, Lin Tian, Jiaping Xie, Jianhong Xu, Weisi Zhang
Summary: This paper explores the impact of two operation modes and pricing strategies of the car-sharing market on platform revenue, seeking to find the optimal pricing mechanism under different conditions. The study reveals that as the market becomes more saturated, platform pricing is more beneficial to the automobile manufacturer.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Zhenzhen Mao, Weisi Zhang, Bin Yang, Tao Zhang
Summary: This study analyzed the pricing decisions and optimal mode selection of manufacturers under the COVID-19 epidemic. The analysis showed that manufacturers will join third-party platforms when operation and maintenance costs are low, and sharing prices increase as these costs rise, while selling prices decrease. Manufacturers will retain sales channels when the value perception factor is below a certain threshold, and both selling and sharing demands decrease as this factor decreases in a growing market, and vice versa. The study also found that mixed sharing is the best choice for manufacturers when operation and maintenance costs are low and the value perception factor is high, while manufacturers will choose no car-sharing when the value perception factor is relatively low.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Industrial
Jiaping Xie, Lihong Wei, Weijun Zhu, Weisi Zhang
Summary: Consumer credit in e-commerce can stimulate consumption and regional economic growth, with the effectiveness depending on the behaviors of participants and their dishonesty aversion levels. For mid-to low-end product transactions, sellers, consumers, and the entire platform supply chain may benefit from credit, but the impact on the platform remains uncertain.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Xie Jiaping, Li Zhong, Xia Yu, Liang Ling, Zhang Weisi
COMPUTERS & INDUSTRIAL ENGINEERING
(2017)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
