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Study On Optimal Decision-Making Of Product Pricing In Marketing

Posted on:2010-04-14Degree:MasterType:Thesis
Country:ChinaCandidate:Z R WuFull Text:PDF
GTID:2189360272482257Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the progress of reform and opening of China and the further development ofChinese socialist market economy, companies pay more and more attentions to marketmanagement and administration, and they become more and more aware of the importanceof using optimization theory and methods to make the optimal decisions when solvingvarious decision-making problems. Particularly, as marketing becomes more and moreimportant, companies need optimal decision-making theories to guide their decision-makingin marketing. Considering such practical demands, this thesis attempts to study optimalpricing decision-making problems in marketing, and to provide some theoretical guidanceto the marketing decision-making.In marketing, the pricing decision-making is one of the most important decision-makings for companies. Many researchers have studied this issue. However, there are stillsome unsolvable problems to need further study. This thesis mainly focuses on some pricingproblems and the main works are as follows:1,According to the different objects of the pricing, the different pricing characteristicsare studied and the different pricing strategies are proposed, respectively.2,For the problem of balanced pricing of the products, an improved model of theexisting model of the problem is proposed. The simulations are made and the similarconclusions to those of the existing model are obtained.3,For the single-stage multi-brand pricing decision-making problems, a non-linearoptimization model is set up, and it is solved by genetic algorithm and the optimal decisionstrategy is given.In conclusion, the theories and methodologies in various disciplines, such as operationsresearch, economics, and management, are integrated in the our work to deal with thepricing problems in marketing, and some analysis results are obtained.
Keywords/Search Tags:Product pricing, Balanced pricing, Pricing decision making, Geneticalgorithms
PDF Full Text Request
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