Developing a New Model of Pricing and Inventory Control of Multiproduct Industries

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Ghadimi, Ashkan | 2011

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 41215 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Hajji, Alireza
Abstract:
Dealing with uncertainty in demand, Seasonal product retailers have to make two important decisions. The first one is pricing of the products during their selling season and the second issue is the inventory level and also reordering decisions during the aforementioned period. It is worth mentioning that all products are using a shared capacity which left us barehanded with the pricing and optimizing inventory levels independently. In this thesis, a new model for retailers is presented which includes demand learning and determines optimal prices and inventory policies for multiproduct industries
Keywords:
Pricing ; Optimizing Inventory Policy ; Multiproduct Industries ; Demand Learning

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