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Sustainability 2016, 8(9), 866; doi:10.3390/su8090866

A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies

1
Department of Business Administration, National Kaohsiung University of Applied Sciences, Kaohsiung 807, Taiwan
2
Department of Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, Kaohsiung 807, Taiwan
*
Authors to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 12 May 2016 / Revised: 2 August 2016 / Accepted: 18 August 2016 / Published: 29 August 2016
(This article belongs to the Special Issue Sustainability in Supply Chain Management)
View Full-Text   |   Download PDF [1437 KB, uploaded 29 August 2016]   |  

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. View Full-Text
Keywords: logistics industry; sustainability; data envelopment analysis (DEA); grey forecasting logistics industry; sustainability; data envelopment analysis (DEA); grey forecasting
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Yu, M.-C.; Wang, C.-N.; Ho, N.-N.-Y. A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies. Sustainability 2016, 8, 866.

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