Model Penentuan Harga ( Price ) Dinamis
Information about the demand curve is not available enough practically, those sellersface some constrains to get the optimal revenue. The seller’s revenue is influencedby the dynamic pricing caused by price sensitivity and the uncertaintyavailable marketing share. The thesis aims to create mathematical model for determiningthe dynamic pricing by learning both properties determination model anddynamic pricing factors. The results of the research shows that for two parameterscase, the seller is faced to uncertain market share and price sensitivity, thus theseller can determine lower bound regret (pT) on the T - period cumulatif regretunder an arbitrary policy. While in the one parameter case, the seller is faced touncertain price sensitivity, that the seller can determine lower bound regret ( lnT ) on the T - period cumulatif regret based on the arbitrary policy. Then as aconclusion to this is that by the used policy, the upper bound of can be reached, sothat the revenue of the seller can be optimal.
Year of publication: |
2012-01-09
|
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Authors: | Laili, Erna |
Other Persons: | Iryanto (contributor) ; Tulus (contributor) |
Subject: | Modelling | Dinamic pricing |
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