Risk tolerance and a retailer's pricing and ordering policies within a newsvendor framework
This paper evaluates the pricing and ordering policies of a retailer, facing a price-dependent stochastic demand, within a newsvendor framework, under different degrees of risk tolerance and under a variety of optimizing objectives. These are (i) maximizing expected profit, for a retailer who may be risk-seeker, risk-averse or risk neutral; (ii) deriving a maximin strategy of maximizing a minimum guaranteed profit and (iii) modeling the probability of exceeding a target profit, as a constraint or as an objective. Some analytical properties and numerical examples illustrate the main features of the models and provide some comparative policy analysis across the model.
Year of publication: |
2012
|
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Authors: | Arcelus, F.J. ; Kumar, Satyendra ; Srinivasan, G. |
Published in: |
Omega. - Elsevier, ISSN 0305-0483. - Vol. 40.2012, 2, p. 188-198
|
Publisher: |
Elsevier |
Keywords: | Supply chain management Inventory management Newsvendor problem Price-dependent demand Degree of risk tolerance Alternate optimization objectives |
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