Modelling imperfect advance demand information and analysis of optimal inventory policies |
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Authors: | Tarkan Tan Refik Güllü Nesim Erkip |
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Institution: | 1. Department of Technology Management, Technische Universiteit Eindhoven, P.O. Box 513, 5600MB Eindhoven, The Netherlands;2. Industrial Engineering Department, Bogazici University, 34342 Istanbul, Turkey;3. Department of Industrial Engineering, Bilkent University, 06800 Ankara, Turkey |
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Abstract: | We consider an inventory control problem where it is possible to collect some imperfect information on future demand. We refer to such information as imperfect Advance Demand Information (ADI), which may occur in different forms of applications. A simple example is a company that uses sales representatives to market its products, in which case the collection of sales representatives’ information as to the number of customers interested in a product can generate an indication about the future sales of that product, hence it constitutes imperfect ADI. Other applications include internet retailing, Vendor Managed Inventory (VMI) applications and Collaborative Planning, Forecasting, and Replenishment (CPFR) environments. We develop a model that incorporates imperfect ADI with ordering decisions. Under our system settings, we show that the optimal policy is of order-up-to type, where the order level is a function of imperfect ADI. We also provide some characterizations of the optimal solution. We develop an expression for the expected cost benefits of imperfect ADI for the myopic problem. Our analytical and empirical findings reveal the conditions under which imperfect ADI is more valuable. |
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Keywords: | Supply chain management Inventory/production Advance demand information Dynamic base-stock policy Periodic review |
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