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            Joint Pricing and Inventory Control under Reference Price Effects

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            Author(s)
            Gimpl-Heersink, Lisa
            Language
            English
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            Abstract
            In this work, we address the problem of simultaneously determining a pricing and inventory replenishment strategy under reference price effects. This reference price effect models the fact that consumers not only react sensitively to the current price, but also to deviations from a reference price formed on the basis of past purchases. Immediate effects of price reductions on profits have to be weighted against the resulting losses in future periods. By providing an analytical analysis and numerical simulations we study how the additional dynamics of the consumers’ willingness to pay affect an optimal pricing and inventory control model and whether a simple policy such as a base-stock-list-price policy holds in such a setting.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/186862
            Keywords
            Analytical Analysis; Control; Dynamic Programming; Effects; Gimpl; Heersink; Integrated Pricing and Inventory Models; Inventory; Joint; Price; Pricing; Reference; Stochastic Demand Models; under; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJM Management and management techniques::KJMV Management of specific areas::KJMV5 Production and quality control management; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJM Management and management techniques::KJMV Management of specific areas::KJMV8 Purchasing and supply management
            DOI
            10.3726/b13901
            ISBN
            9783631753804
            Publisher
            Peter Lang International Academic Publishing Group
            Publication date and place
            Bern, 2018
            Series
            Forschungsergebnisse der Wirtschaftsuniversitaet Wien,
            Pages
            124
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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