Fuzzy rule-based demand forecasting for dynamic pricing of a maritime company
Küçük Resim Yok
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the pricing problem of a transportation service provider company is considered. Our goal is to find optimal prices by using probabilistic dynamic programming. A fuzzy IF-THEN-rule based system is used to identify the demand levels under different prices and other characteristics of the journey. The results obtained by optimal price policies show that the revenue increases by applying dynamic pricing policy instead of fixed pricing. Thus, the diversification of pricing policies under different conditions is beneficial for the company. (C) 2014 Elsevier B.V. All rights reserved.
Açıklama
Anahtar Kelimeler
Dynamic Pricing, Dynamic Programming, Fuzzy If-Then Rules, Transportation, Demand Forecasting, Revenue Management, Stochastic Demand, System, Model, Information, Choice
Kaynak
Knowledge-Based Systems
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
70
