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.