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Risk tolerance and a retailer's pricing and ordering policies within a newsvendor framework
Authors:F.J. Arcelus  Satyendra KumarG. Srinivasan
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
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.
Keywords:Supply chain management   Inventory management   Newsvendor problem   Price-dependent demand   Degree of risk tolerance   Alternate optimization objectives
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