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Quantitative Research On Influencing Factors Of B2C Online Retail Product Demand Under Fuzzy Environment

Posted on:2020-11-20Degree:MasterType:Thesis
Country:ChinaCandidate:G HanFull Text:PDF
GTID:2428330575481280Subject:Logistics engineering
Abstract/Summary:PDF Full Text Request
In view of the fact that domestic and foreign scholars have not studied the impact of sales price and the time to market of the next generation of products on product demand,this study believes that there is a fuzzy relationship between product demand and price and time.When making sales plans,decision-makers of B2 C online retail enterprises need to take into account all kinds of factors that affect corporate benefits.The demand for products largely determines the profitability of enterprises.Therefore,this study is of reference significance for decision-makers of B2 C online retail enterprises.The purpose of this paper is to quantify the impact of price and time on market demand.Firstly,this paper summarizes and sorts out the research status of demand and price,demand and time,fuzzy theory and geometric programming theory at home and abroad.Secondly,the economic theory related to product demand is summarized,the fuzzy sets and triangular fuzzy variables related to fuzzy theory are summarized,and the geometric programming algorithm and dual theory are illustrated with examples.After that,define and influence product demand factors in B2 C online retail,and combine with industry characteristics to describe the demand that cannot be satisfied immediately,and define safety inventory with industry characteristics.Finally,the sales revenue and related expenses are defined and the maximum profit model is established.The model is transformed and programmed by geometric programming algorithm and solved by example.The purpose of this paper is to quantify the impact of price and time on market demand.The fuzzy demand variables in B2 C online retail system were defined and the maximum profit model including sales revenue,storage cost,promotion cost,distribution cost and out-of-stock cost was constructed.Combined with the characteristics of B2 C online retail that can be pre-sold,safety inventory was defined and constraints were set.The maximum profit model is transformed by geometric programming algorithm,and the maximum profit optimistic model and the maximum profit pessimistic model are obtained.When the geometric programming algorithm is used to transform the maximum profit model,the fuzzy set theory is used to define the price impact factor,time impact factor and maximum profit,and the upper and lower limits of the three values are obtained.Finally,the dual theory is used to transform the model into a fuzzy positive geometric programming model.Use Python software to program optimistic and pessimistic models.Finally,the sales case of MIX is used to calculate the fuzzy geometric programming model.By grasping relevant data on the network,the triangular fuzzy number of price impact factor and time impact factor is solved and the triangular fuzzy number of maximum profit is further obtained.
Keywords/Search Tags:B2C online retail, fuzzy theory, demand, geometric planning, price, product cycle
PDF Full Text Request
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