@inproceedings{c2d3647dc6b34ca3b6fb63dc225fab60,
title = "Integration model of stock inventory with multi-echelon logistic and predictive maintenance",
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.",
keywords = "Cox Regression, Maintenance and Inventory integration, Multi echelon, Tire Prediction Scrap",
author = "Prihandoyo, {Ari Agung} and T. Yuri and Romadhani Ardi",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 4th International Conference on Industrial and Business Engineering, ICIBE 2018 ; Conference date: 24-10-2018 Through 26-10-2018",
year = "2018",
month = oct,
day = "24",
doi = "10.1145/3288155.3290588",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "41--47",
booktitle = "ICIBE 2018 - 2018 4th International Conference on Industrial and Business Engineering",
address = "United States",
}