eISSN:2278-5299

International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35,  Peer-reviewed, Open-access Journal

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MODEL ESTIMATION AND TREND FOR THE SALE OF TRUCK SPARE PARTS USING LEAST SQUARES AND BAYESIAN NETWORKS

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.6 Issue 3, pp 74-83,Year 2017

MODEL ESTIMATION AND TREND FOR THE SALE OF TRUCK SPARE PARTS USING LEAST SQUARES AND BAYESIAN NETWORKS

Juan Manuel Flores Santillán, Tonahtiu Arturo Ramírez Romero,Miguel Patiño Ortíz

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Received : 20 June 2017; Accepted : 25 June 2017 ; Published : 30 June 2017

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Abstract

The estimation and trend for the sale of truck spare parts over twelve months horizon is a crucial planning for all those people who have a managerial or strategic position in any company which is dedicated to merchandise this kind of items. A model estimation based on least squares and Bayesian Networks (MBN) is developed using six variables which are identified economic indicators and daily sale of truck spare part variable is calculated in order to get its trend. The empirical results suggest that MBN can significantly improve the estimation for sale of truck spare part for 12-month ahead prediction in order to generate a strategy with others areas such as marketing, purchasing and logistics.

Key Words   
Model estimation, sales of spare parts, least squares, Bayesian networks
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To cite this article

Juan Manuel Flores Santillán, Tonahtiu Arturo Ramírez Romero,Miguel Patiño Ortíz , " Model Estimation And Trend For The Sale Of Truck Spare Parts Using Least Squares And Bayesian Networks ", International Journal of Latest Research in Science and Technology . Vol. 6, Issue 3, pp 74-83 , 2017


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