A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies
Keywords
logistics industrysustainability
data envelopment analysis (DEA)
grey forecasting
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
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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.Date
2016-08-01Type
ArticleIdentifier
oai:doaj.org/article:f848337ec0e04c8aba736503e44b51312071-1050
10.3390/su8090866
https://doaj.org/article/f848337ec0e04c8aba736503e44b5131