Research On Operation Optimization And Stability Of Capacity Sharing System Based On Platform

The emergence of the capacity sharing platform breaks the shackles of information asymmetry between the supply and demand sides of the capacity,mobilizes the idle capacity,and greatly improves the supply of the capacity.At the same time,the emergence of the capacity sharing platform stimulates the potential demand of the capacity in the capacity sharing market.Capacity sharing based on the platform is concerned by the industry and scholars.This dissertation applies operation management,optimization theory,game theory,system dynamic to explore the impact of capacity sharing platform,capacity owner and capacity demander’s behavior decision on capacity sharing system,and studies the operation optimization and the stability of capacity sharing system.With regard to the operation optimization of capacity sharing system,this dissertation discusses the optimal capacity sharing platform’s pricing stategy considering different profit models,different charging modes,matchingconstraint,and different decision-making objectives.In the aspect of capacity sharing system stability,this dissertation explores the stability of capacity sharing system composed of capacity sharing platform,capacity owner and capacity demander from the perspectives of service cost and reputation of capacity sharing platform.The main contents of this dissertation are as follows.First,this dissertation studies the profit model and charging mode of capacity sharing platform.To explore the impact of the profit model and charging mode of the capacity sharing platform on the capacity sharing system,this dissertation constructs a mathematical model aiming at the capacity sharing platform profit maximization.This dissertation analyzes the optimal decision-making problem of unilateral charging and bilateral charging under the two profit models of the capacity sharing platform with transaction fee and registration fee,and discusses the relationship of the optimal profit between unilateral charging and bilateral charging under the same profit model.This dissertation also explores the relationship between the optimal profit and the optimal pricing of the capacity sharing platform under the two profit models when the service cost is zero.The results show that: under the same profit model,the optimal profit of the capacity sharing platform with bilateral charging is higher than that with unilateral charging;when the service cost of the capacity sharing platform is zero,under the two profit models the optimal profit of the capacity sharing platform is equal,and the optimal registration fee is the same as the total amount of the optimal transaction fee.Next,this dissertation studies the optimal capacity sharing platform’s pricing with matching constraints.In reality,the capacity sharing platform integrates and matches the idle capacity.For each unit of capacity successfully matched,the capacity sharing platform charges a certain transaction fee to both of the owner and the demander.Under the condition that the production capacity sharing platform charges transaction fees from bilateral users and has different matching rates,this dissertation studies the optimal pricing when the capacity sharing platform chooses different goals,the maximum profit and the maximum social welfare.Moreover,it analyzes and compares the impact of the operation modes and matching ratio of the two types of operation modes on the optimal transaction fees and the utility of capacity sharing participants.The results show that: the optimal transaction fee charged by the capacity sharing platform with the goal of profit maximization is higher than that charged by the capacity sharing platform with the goal of social welfare maximization,and the optimal transaction fee charged by the profit maximization is independent of the matching rate,while the optimal transaction fee charged by the social welfare maximization platform increases with the increase of the matching rate.Then,this dissertation investigates pricing strategy of capacity sharing platform based on multi-dimensional decision-making objective.In order to study the pricing of capacity sharing platform with multi-dimensional decision-making objectives,the optimal pricing strategy of the capacity sharing platform with multi-dimensional decision-making objectives is constructed under the condition that the capacity sharing platform only charges the transaction fee to the capacity owner.This disessertation assumes the capacity sharing platform considers own profit and the utility of capacity owners and capacity demanders with a certain weight when it makes the pricing strategy,and discusses the influence of the weight on the optimal transaction cost,the number of suppliers and demanders,and the optimal profit of the capacity sharing platform.Moreover,this dissertation analyzes and compares the results of two special cases when the weight is 1 and 1/2.The results show that: the optimal transaction fee and profit,the number and utility of capacity demanders are increasing in the weight,but the number and utility of capacity owners decrease with the increase of the weight,however,the number and utility of the capacity owners decrease with the increase of the weight.Furthermore,this dissertation studies the impact of the service cost of capacity sharing platform on the stability of the capacity sharing system.Under the condition that different service level of capacity sharing platform produces different operation cost,this dissertation constructes an evolutionary game model of capacity sharing system,and analyzes the stability and the evolutionary stability strategy of capacity sharing system.Through the numerical simulation,this dissertation analyzes the effects of initial probability,cost and benefit of information upgrade on the system evolution.The results show that: when the revenue of high service level of capacity sharing platform can not make up for the cost loss,the evolutionary stable strategies of capacity sharing system are(low service level,do not participate in capacity sharing,do not participate in capacity sharing)and(low service level,participate in capacity sharing,participate in capacity sharing);else,the evolutionary stable strategy of production sharing system is(high service level,participate in production sharing,participate in production sharing).Finally,this dissertation researches the stability of the capacity sharing system with the reputation of capacity sharing platform.First,this dissertation analyzes the stability and evolutionary stability strategies of capacity sharing systems without considering or considering the reputation of the capacity sharing platform through the evolutionary game theory.Then,this dissertation constructes a system dynamics model of capacity sharing system considering platform reputation,and analyzes the impact of reputation on the evolution of capacity sharing system through system dynamics method.The results show that: if the reputation transformation level of capacity-sharing platform reaches a certain level,it can effectively promote capacity-sharing platform to supervise the opportunism behavior of capacity owners and capacity demanders.