Optimisation of key performance measures in air cargo demand management
Journal of Transport and Supply Chain Management
| Field | Value | |
| Title | Optimisation of key performance measures in air cargo demand management | |
| Creator | May, Alexander Anslow, Adrian Ojiako, Udechukwu Wu, Yue Marshall, Alasdair Chipulu, Maxwell | |
| Description | This article sought to facilitate the optimisation of key performance measures utilised for demand management in air cargo operations. The focus was on the Revenue Management team at Virgin Atlantic Cargo and a fuzzy group decision-making method was used. Utilising intelligent fuzzy multi-criteria methods, the authors generated a ranking order of ten key outcome-based performance indicators for Virgin Atlantic air cargo Revenue Management. The result of this industry-driven study showed that for Air Cargo Revenue Management, ‘Network Optimisation’ represents a critical outcome-based performance indicator. This collaborative study contributes to existing logistics management literature, especially in the area of Revenue Management, and it seeks to enhance Revenue Management practice. It also provides a platform for Air Cargo operators seeking to improve reliability values for their key performance indicators as a means of enhancing operational monitoring power. | |
| Publisher | AOSIS | |
| Date | 2014-04-09 | |
| Identifier | 10.4102/jtscm.v8i1.125 | |
| Source | Journal of Transport and Supply Chain Management; Vol 8, No 1 (2014); 9 pages 1995-5235 2310-8789 | |
| Language | eng | |
| Relation |
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:
https://jtscm.co.za/index.php/jtscm/article/view/125/209
https://jtscm.co.za/index.php/jtscm/article/view/125/210
https://jtscm.co.za/index.php/jtscm/article/view/125/211
https://jtscm.co.za/index.php/jtscm/article/view/125/208
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