Super-SBM and GM (1,1) Model Approaches for Global Automobile

The-Vinh Do; Quoc-Chien Luu; Thi-Nguyen Nguyen

Title:
Super-SBM and GM (1,1) Model Approaches for Global Automobile

Authors:
Thi-Nguyen Nguyen | The-Vinh Do | Quoc-Chien Luu

Cite This Article :

Thi-Nguyen Nguyen | The-Vinh Do | Quoc-Chien Luu "Super-SBM and GM (1,1) Model Approaches for Global Automobile" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-1, December 2021, pp.794-801, URL: https://www.ijtsrd.com/papers/ijtsrd47880.pdf

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Abstract :
In the success of many enterprises, the development orientation in the future is an important role. The study measures the performance and ranks the automotive companies around the world by the integration of GM (1,1) model in grey theory and Super-SBM model in data development analysis (DEA). GM (1,1) model is used for predicting the input variables and output variables in the future time. And then, the super-SBM model was used for calculating the efficiency score of each automotive company in every term. Estimated values are standard when their average MAPEs are under 38.332%. The empirical results indicate that four good automotive companies attained efficiency in the previous time; seven good automotive companies are expected to reach the performance in the future time. The research presents an overview observation of the automotive industry around the world.

Keywords :
automobile industry, data development analysis, Grey theory, GM (1,1) model, Super-SBM model

Publication Details:

Unique Identification Number : IJTSRD47880

Published In : Volume-6 | Issue-1, December 2021

Page Number(s) : 794-801

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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