Risk tolerance and a retailer's pricing and ordering policies within a newsvendor framework |
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Authors: | F.J. Arcelus Satyendra KumarG. Srinivasan |
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Affiliation: | a Emeritus Professor, University of New Brunswick, Canada b Departamento de Gestión de Empresas, Universidad Pública de Navarra, Campus de Arrosadía, 31006 Pamplona, Navarra, Spain c JDA Software India Pvt. Ltd., 6th Block, Orion Block, The “V” Ascendas IT Park, Madhapur, Hyderabad 500081, India d Faculty of Business Administration, University of New Brunswick, Fredericton, Canada |
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Abstract: | 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. |
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Keywords: | Supply chain management Inventory management Newsvendor problem Price-dependent demand Degree of risk tolerance Alternate optimization objectives |
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