Prioritisation of performance indicators in air cargo demand management: an insight from industry

May, Alexander; Anslow, Adrian; Wu, Yue; Ojiako, Udechukwu; Chipulu, Max; Marshall, Alasdair

Abstract

Purpose – Real operational data are used to optimise the performance measurement of air cargo capacity demand management at Virgin Atlantic Cargo by identifying the best KPIs from the range of outcome-based KPIs in current use.
Design/methodology/approach – Intelligent fuzzy multi-criteria methods are used to generate a ranking order of key outcome-based performance
indicators. More specifically, KPIs used by Virgin Atlantic Cargo are evaluated by experts against various output criteria. Intelligent fuzzy multi-criteria group making decision-making methodology is then applied to produce rankings.
Findings – A useful ranking order emerges from the study albeit with the important limitation that the paper looked solely at indices focussing exclusively on outcomes while ignoring behavioural complexity in the production of outcomes.
Originality/value – This paper offers a practical overview of the development of performance measures useful for air cargo capacity demand management.

Citation

May, A., Anslow, A., Wu, Y., Ojiako, U., Chipulu, M., & Marshall, A. (2014). Prioritisation of performance indicators in air cargo demand management: an insight from industry. Supply chain management, 19(1), 108-113. https://doi.org/10.1108/SCM-07-2013-0230

• Journal Article Type: Article
• Acceptance Date: Oct 9, 2013
• Online Publication Date: Jan 7, 2014
• Publication Date: 2014
• Deposit Date: Sep 26, 2021
• Print ISSN: 1359-8546
• Publisher: Emerald
• Peer Reviewed: Peer Reviewed
• Volume: 19
• Issue: 1
• Pages: 108-113
• DOI: https://doi.org/10.1108/SCM-07-2013-0230
• Keywords: logistics; modelling; air cargo; revenue management; KPIs; fuzzy multi-criteria decision
• Public URL: http://researchrepository.napier.ac.uk/Output/2802437