Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis |
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| Institution: | 1. Department of Pediatric Cardiac Surgery Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, 100037 Beijing, P. R. China;2. Department of Surgery, Capital Institute of Pediatrics, 100020 Beijing, P.R. China;3. Department of Surgery, Beijing United Family Hospital, China;4. Departments of Paediatrics and Surgery, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia |
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| Abstract: | Monitoring company emissions from freight transport is essential if future greenhouse gas (GHG) reductions are to be realised. Modern economies are characterised increasingly by lower density freight movements. However, weight-based measures of freight transport activity (tonne-kilometre, tonnes lifted) are not good at describing volume-limited freight. After introducing the need for performance measurement, the problem of benchmarking is outlined in more detail. A context-dependent undesirable output data envelopment analysis (DEA) model, designed to be sensitive to business context, is then tested on a simulated set of fleet profiles. DEA can produce more consistent measures of good-practice, compared to ratio-based key performance indicators (KPI), providing emission reduction targets for companies and an aggregate reporting tool. |
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| Keywords: | Carbon measurement Logistics activity Benchmarking DEA |
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