Preprint Article Version 1 NOT YET PEER-REVIEWED

A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies

Version 1 : Received: 24 August 2016 / Approved: 25 August 2016 / Online: 25 August 2016 (10:12:27 CEST)

How to cite: Yu, M.; Wang, C.; Ho, N. A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies. Preprints 2016, 2016080204 (doi: 10.20944/preprints201608.0204.v1). Yu, M.; Wang, C.; Ho, N. A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies. Preprints 2016, 2016080204 (doi: 10.20944/preprints201608.0204.v1).

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.

Subject Areas

logistics industry; sustainability; data envelopment analysis (DEA); grey forecasting

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