Facing serious environmental problems,governments and manufacturers are taking action to reduce carbon emissions.Among these endeavors,carbon tax policy are widely adopted by governments,and trade-old-for-new(TON)and ...Facing serious environmental problems,governments and manufacturers are taking action to reduce carbon emissions.Among these endeavors,carbon tax policy are widely adopted by governments,and trade-old-for-new(TON)and trade-old-for-remanufactured(TOR)are offered by manufacturers and subsidized by governments.To explore the effects of remanufacturer competition and carbon tax on the manufacturer’s TON and TOR decisions and the environment,we formulate three profit maximization models and present some theoretical and numerical analyses.The results show that,under the remanufacturer competition and carbon tax,the manufacturer’s optimal price and production decisions mainly depend on consumer willingness and carbon tax rate.A higher consumer willingness to manufacturer’s remanufactured products will decrease the demand for the manufacturer’s TON,but it always increases the demand for the manufacturer’s TOR.A higher consumer willingness to remanufacturer’s products will not affect the demand for the manufacturer’s TON;however,it will reduce the demand for manufacturer’s TOR.In addition,we find that a higher carbon tax rate always reduces total carbon emission reduction,and that it may increase the manufacturer’s profit due to the increase in TOR demand.展开更多
To address the charging infrastructure challenges associated with slow electric vehicle(EV)industry growth,this study investigates the collaboration between private charging-pile-sharing platforms struggling with prof...To address the charging infrastructure challenges associated with slow electric vehicle(EV)industry growth,this study investigates the collaboration between private charging-pile-sharing platforms struggling with profitability and automotive companies.This collaboration is crucial,as it demands a balanced price and service quality management due to consumer expectations.This paper introduces a Stackelberg game model to explore the relationship between a charging platform and an automotive company.Through numerical analysis,we assess how this cooperation might improve the platform’s efficiency and benefit society,potentially overcoming existing industry hurdles.Our findings indicate that such partnerships could benefit all parties involved,despite possible negative environmental impacts.However,after collaborat-ing,platforms may increase consumer prices and payments to suppliers,potentially lowering service quality for brand-associated consumers due to a compromise between shorter waiting times and service quality.This research offers valu-able insights for stakeholders on the effects of cooperation,enabling better strategic decisions in the EV charging sector.展开更多
A new methodology was proposed for contamination source identification using information provided by consumer complaints from a probabilistic view.Due to the high uncertainties of information derived from users,the ob...A new methodology was proposed for contamination source identification using information provided by consumer complaints from a probabilistic view.Due to the high uncertainties of information derived from users,the objective of the proposed methodology doesn't aim to capture a unique solution,but to minimize the number of possible contamination sources.In the proposed methodology,all the possible pollution nodes are identified through the CSA methodology firstly.And then based on the principle of total probability formula,the probability of each possible contamination node is obtained through a series of calculation.According to magnitude of the probability,the number of possible pollution nodes is minimized.The effectiveness and feasibility of the methodology is demonstrated through an application to a real case of ZJ City.Four scenarios were designed to investigate the influence of different uncertainties on the results in this case.The results show that pollutant concentration,injection duration,the number of consumer complaints nodes used for calculation and the prior probability with which consumers would complaint have no particular effect on the identification of contamination source.Three nodes were selected as the most possible pollution sources in water pipe network of ZJ City which includes more than 3 000 nodes.The results show the potential of the proposed method to identify contamination source through consumer complaints.展开更多
基金supported by the National Natural Science Foundation of China(71973001).
文摘Facing serious environmental problems,governments and manufacturers are taking action to reduce carbon emissions.Among these endeavors,carbon tax policy are widely adopted by governments,and trade-old-for-new(TON)and trade-old-for-remanufactured(TOR)are offered by manufacturers and subsidized by governments.To explore the effects of remanufacturer competition and carbon tax on the manufacturer’s TON and TOR decisions and the environment,we formulate three profit maximization models and present some theoretical and numerical analyses.The results show that,under the remanufacturer competition and carbon tax,the manufacturer’s optimal price and production decisions mainly depend on consumer willingness and carbon tax rate.A higher consumer willingness to manufacturer’s remanufactured products will decrease the demand for the manufacturer’s TON,but it always increases the demand for the manufacturer’s TOR.A higher consumer willingness to remanufacturer’s products will not affect the demand for the manufacturer’s TON;however,it will reduce the demand for manufacturer’s TOR.In addition,we find that a higher carbon tax rate always reduces total carbon emission reduction,and that it may increase the manufacturer’s profit due to the increase in TOR demand.
基金supported by the National Natural Science Foundation of China(72474034,72104034)Humanities and Social Science Fund of the Ministry of Education of China(21YJC630037,22XJC910001)China Postdoctoral Science Foundation(2022T150072)。
文摘To address the charging infrastructure challenges associated with slow electric vehicle(EV)industry growth,this study investigates the collaboration between private charging-pile-sharing platforms struggling with profitability and automotive companies.This collaboration is crucial,as it demands a balanced price and service quality management due to consumer expectations.This paper introduces a Stackelberg game model to explore the relationship between a charging platform and an automotive company.Through numerical analysis,we assess how this cooperation might improve the platform’s efficiency and benefit society,potentially overcoming existing industry hurdles.Our findings indicate that such partnerships could benefit all parties involved,despite possible negative environmental impacts.However,after collaborat-ing,platforms may increase consumer prices and payments to suppliers,potentially lowering service quality for brand-associated consumers due to a compromise between shorter waiting times and service quality.This research offers valu-able insights for stakeholders on the effects of cooperation,enabling better strategic decisions in the EV charging sector.
基金Project(50908165) supported by the National Natural Science Foundation of China
文摘A new methodology was proposed for contamination source identification using information provided by consumer complaints from a probabilistic view.Due to the high uncertainties of information derived from users,the objective of the proposed methodology doesn't aim to capture a unique solution,but to minimize the number of possible contamination sources.In the proposed methodology,all the possible pollution nodes are identified through the CSA methodology firstly.And then based on the principle of total probability formula,the probability of each possible contamination node is obtained through a series of calculation.According to magnitude of the probability,the number of possible pollution nodes is minimized.The effectiveness and feasibility of the methodology is demonstrated through an application to a real case of ZJ City.Four scenarios were designed to investigate the influence of different uncertainties on the results in this case.The results show that pollutant concentration,injection duration,the number of consumer complaints nodes used for calculation and the prior probability with which consumers would complaint have no particular effect on the identification of contamination source.Three nodes were selected as the most possible pollution sources in water pipe network of ZJ City which includes more than 3 000 nodes.The results show the potential of the proposed method to identify contamination source through consumer complaints.
