Original Research

Optimisation of key performance measures in air cargo demand management

Alexander May, Adrian Anslow, Udechukwu Ojiako, Yue Wu, Alasdair Marshall, Maxwell Chipulu
Journal of Transport and Supply Chain Management | Vol 8, No 1 | a125 | DOI: https://doi.org/10.4102/jtscm.v8i1.125 | © 2014 Alexander May, Adrian Anslow, Udechukwu Ojiako, Yue Wu, Alasdair Marshall, Maxwell Chipulu | This work is licensed under CC Attribution 4.0
Submitted: 11 October 2013 | Published: 09 April 2014

About the author(s)

Alexander May, School of Management, University of Southampton, United Kingdom
Adrian Anslow, Revenue Management and Pricing Analytics, Virgin Atlantic Cargo, United Kingdom
Udechukwu Ojiako, Faculty of Management, University of Johannesburg, South Africa
Yue Wu, School of Management, University of Southampton, United Kingdom
Alasdair Marshall, School of Management, University of Southampton, United Kingdom
Maxwell Chipulu, School of Management, University of Southampton, United Kingdom and Faculty of Management, University of Johannesburg, South Africa


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Abstract

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.

Keywords

Optimisation; Key Performance Measures; Demand Management; Air Cargo

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