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Optimizing the Financial Efficiency of Logistics Companies with Data Envelopment Analysis Model

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Proceedings of the 8th International Conference on Computational Science and Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 835))

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Abstract

The Covid-19 Recession, which also refers to the Great Lockdown, has caused the fall of many industries in 2020. Even though this recession has somehow encouraged the booming of online business, logistics organizations still suffer from various business risks including route closure, default risk, high parcel volume, risk of the highly contagious Covid-19 virus and technological risk. The logistics industry is very prominent in moving the national economy of a country and is also the key to transport necessities and medical supplies during the Great Lockdown. Therefore, to assist logistics players in identifying their strengths and shortcomings while improving their weaknesses, this research aims to propose a research framework to optimize and compare the financial performance of listed logistics companies in Malaysia with Data Envelopment Analysis (DEA) model. This research found that 41.18% of logistics companies are efficient, namely COMPLET, GDEX, LITRAK. MISC, MMCCORP, SURIA and XINHWA. This research has also successfully found the benchmarks for inefficient logistics companies for their financial and operational enhancements. Future studies can apply this research framework with DEA model on other industries.

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Authors and Affiliations

  1. Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Bandar Barat, 31900, Kampar, Perak, Malaysia

    Lee Pei Fun, Lam Weng Siew & Lam Weng Hoe

Authors
  1. Lee Pei Fun
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  2. Lam Weng Siew
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  3. Lam Weng Hoe
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Correspondence to Lam Weng Siew .

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Editors and Affiliations

  1. Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia

    Rayner Alfred

  2. School of Information, Science, Security, Network, Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    Yuto Lim

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Fun, L.P., Siew, L.W., Hoe, L.W. (2022). Optimizing the Financial Efficiency of Logistics Companies with Data Envelopment Analysis Model. In: Alfred, R., Lim, Y. (eds) Proceedings of the 8th International Conference on Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 835. Springer, Singapore. https://doi.org/10.1007/978-981-16-8515-6_1

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