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Using the optimization algorithm to evaluate and predict the business performance of logistics companies–a case study in Vietnam

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  • Tien-Muoi Le
  • Chia-Nan Wang
  • Han-Khanh Nguyen

Abstract

In the current market economy, it is important to evaluate and forecast the situation and business performance of enterprises to provide the necessary information for managers to plan for future use of resources. This study aims to evaluate and predict the business performance of logistics companies in Vietnam. The authors use the optimal algorithm in the data envelopment analysis (DEA) to evaluate the business efficiency of the companies in the years 2014–2017. In addition, the authors use Grey system theory to forecast business results and their future use during the period of 2018–2021. The research shows that Gemadept Corporation and Sea & Air Freight International use the their business resources effectively and as expected, and that these companies will continue to thrive in the future. This study provides a method to measure, evaluate, and forecast the business performance of the logistics companies. Managers and the government can rely on this approach for implementation and overall planning of logistics enterprises in the future.

Suggested Citation

  • Tien-Muoi Le & Chia-Nan Wang & Han-Khanh Nguyen, 2020. "Using the optimization algorithm to evaluate and predict the business performance of logistics companies–a case study in Vietnam," Applied Economics, Taylor & Francis Journals, vol. 52(38), pages 4196-4212, July.
    • Handle: RePEc:taf:applec:v:52:y:2020:i:38:p:4196-4212
    DOI: 10.1080/00036846.2020.1733474
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    Cited by:

    1. Han-Khanh Nguyen & Mai-Nam Vu, 2021. "Assess the Impact of the COVID-19 Pandemic and Propose Solutions for Sustainable Development for Textile Enterprises: An Integrated Data Envelopment Analysis-Binary Logistic Model Approach," JRFM, MDPI, vol. 14(10), pages 1-23, October.
    2. Han Khanh Nguyen, 2021. "Application of Mathematical Models to Assess the Impact of the COVID-19 Pandemic on Logistics Businesses and Recovery Solutions for Sustainable Development," Mathematics, MDPI, vol. 9(16), pages 1-21, August.

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