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• W3028370152 abstract "Abstract- Forecasting is an under estimated field of research in supply chain management. Uncertainties inherent in customer demands make it difficult for supply chains to achieve just-in-time inventory replenishment, resulting in loosing sales opportunities or keeping excessive chain-wide inventories. In this paper, we propose two adaptive inventory-control models for a supply chain consisting of one supplier and multiple retailers. Development of an approach that provides opportunity to construct models for formation of multidimensional options that describe forecast image of regions and municipalities. Agreeing with thesis the future grows out of past, patterns of past cannot be fully transferred to future. They should be adjusted in accordance with existing ideas about future. To accomplish this opportunity, it is proposed to provide model of each process with an adaptive mechanism and express idea of future with help of target settings, at which adaptive change of models is aimed. There has been theoretically substantiated methodology for constructing adaptively targeted models. Results showed that from cutting costs to keeping consumers happy, forecasting is a vital component of supply chain management, helping companies fill orders on time, avoid unnecessary inventory expenses and plan for price fluctuations." @default.
• W3028370152 created "2020-05-29" @default.
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• W3028370152 date "2020-04-27" @default.
• W3028370152 modified "2023-09-28" @default.
• W3028370152 title "Adaptively Targeted Models of Economic Forecast-ing by Supply Chain Management" @default.
• W3028370152 hasPublicationYear "2020" @default.
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