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- W2909853783 abstract "This paper describes the design model integration between predictive tire scrap and inventory stock with consideration of multi echelon logistics. Cox regression model was used to investigate the relationship between a set of one or more covariates and the hazard rate of tire to predict scraping time of tire. The result of prediction was used to calculate stock in every equipment user, distribution center and factory. Economic Order Quantity was used to calculate stock. This paper adopts the SPSS Modeler based analytical and simulation method to obtain the optimal configurations cost model of maintenance and stock inventory. The equipment and logistics challenges of mining companies provide a real context for the presentation of this research." @default.
- W2909853783 created "2019-01-25" @default.
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- W2909853783 date "2018-10-24" @default.
- W2909853783 modified "2023-09-28" @default.
- W2909853783 title "Integration Model of Stock Inventory with Multi-Echelon Logistic and Predictive Maintenance" @default.
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- W2909853783 doi "https://doi.org/10.1145/3288155.3290588" @default.
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