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A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies

Author

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  • Min-Chun Yu

    (Department of Business Administration, National Kaohsiung University of Applied Sciences, Kaohsiung 807, Taiwan)

  • Chia-Nan Wang

    (Department of Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, Kaohsiung 807, Taiwan)

  • Nguyen-Nhu-Y Ho

    (Department of Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, Kaohsiung 807, Taiwan)

Abstract

Logistics plays an important role in globalized companies and contributes to the development of foreign trade. A large number of external conditions, such as recession and inflation, affect logistics. Therefore, managers should find ways to improve operational performance, enabling them to increase efficiency while considering environmental sustainability due to the industry’s large scale of energy consumption. Based on data collected from the financial reports of top global logistics companies, this study uses a DEA model to calculate corporate efficiency by implementing a Grey forecasting approach to forecast future sustainability values. Consequently, the study addresses the problem of how to enhance operational performance while accounting for the impact of external conditions. This research can help logistics companies develop operation strategies in the future that will enhance their competitiveness vis-à-vis rivals in a time of global economic volatility.

Suggested Citation

  • Min-Chun Yu & Chia-Nan Wang & Nguyen-Nhu-Y Ho, 2016. "A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies," Sustainability, MDPI, vol. 8(9), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:9:p:866-:d:76940
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    References listed on IDEAS

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    Cited by:

    1. Füsun Küçükbay & Ebru Sürücü, 2019. "Corporate sustainability performance measurement based on a new multicriteria sorting method," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(3), pages 664-680, May.
    2. Chia-Nan Wang & Nhat-Luong Nhieu & Yu-Chi Chung & Huynh-Tram Pham, 2021. "Multi-Objective Optimization Models for Sustainable Perishable Intermodal Multi-Product Networks with Delivery Time Window," Mathematics, MDPI, vol. 9(4), pages 1-25, February.
    3. Thi-Nham Le & Chia-Nan Wang, 2017. "The Integrated Approach for Sustainable Performance Evaluation in Value Chain of Vietnam Textile and Apparel Industry," Sustainability, MDPI, vol. 9(3), pages 1-21, March.
    4. Jin-chi Hsieh & Ching-cheng Lu & Ying Li & Yung-ho Chiu & Ya-sue Xu, 2019. "Environmental Assessment of European Union Countries," Energies, MDPI, vol. 12(2), pages 1-18, January.
    5. Nguyen-Nhu-Y Ho & Phuong Mai Nguyen & Thi-Minh-Ngoc Luu & Thi-Thuy-Anh Tran, 2022. "Selecting Partners in Strategic Alliances: An Application of the SBM DEA Model in the Vietnamese Logistics Industry," Logistics, MDPI, vol. 6(3), pages 1-15, September.
    6. Chia Nan Wang & Anh Phuong Le, 2018. "Application in International Market Selection for the Export of Goods: A Case Study in Vietnam," Sustainability, MDPI, vol. 10(12), pages 1-24, December.
    7. Han-Khanh Nguyen, 2020. "Combining DEA and ARIMA Models for Partner Selection in the Supply Chain of Vietnam’s Construction Industry," Mathematics, MDPI, vol. 8(6), pages 1-20, May.
    8. Daeheon Choi & Chune Young Chung & Jason Young, 2019. "Sustainable Online Shopping Logistics for Customer Satisfaction and Repeat Purchasing Behavior: Evidence from China," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    9. Wim Lambrechts & Semen Son-Turan & Lucinda Reis & Janjaap Semeijn, 2019. "Lean, Green and Clean? Sustainability Reporting in the Logistics Sector," Logistics, MDPI, vol. 3(1), pages 1-23, January.
    10. Dimitrios Folinas & Naoum Tsolakis & Dimitrios Aidonis, 2018. "Logistics Services Sector and Economic Recession in Greece: Challenges and Opportunities," Logistics, MDPI, vol. 2(3), pages 1-16, August.
    11. Ehsan Javanmardi & Sifeng Liu & Naiming Xie, 2020. "Exploring Grey Systems Theory-Based Methods and Applications in Sustainability Studies: A Systematic Review Approach," Sustainability, MDPI, vol. 12(11), pages 1-32, May.
    12. Kedong Yin & Danning Lu & Xuemei Li, 2017. "A Novel Grey Wave Method for Predicting Total Chinese Trade Volume," Sustainability, MDPI, vol. 9(12), pages 1-16, December.
    13. Paul D. Larson, 2021. "Relationships between Logistics Performance and Aspects of Sustainability: A Cross-Country Analysis," Sustainability, MDPI, vol. 13(2), pages 1-13, January.

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