Optimisation of key performance measures in air cargo demand management
May, Alexander and Anslow, Adrian and Ojiako, Udechukwu and Wu, Yue and Marshall, Alasdair and Chipulu, Maxwell (2014) Optimisation of key performance measures in air cargo demand management. Journal of Transport and Supply Chain Management, 8 (1). a125. (https://doi.org/10.4102/jtscm.v8i1.125)
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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
ORCID iDs
May, Alexander, Anslow, Adrian, Ojiako, Udechukwu ORCID: https://orcid.org/0000-0003-0506-2115, Wu, Yue, Marshall, Alasdair and Chipulu, Maxwell;-
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Item type: Article ID code: 88212 Dates: DateEvent9 April 2014Published22 February 2014AcceptedSubjects: Social Sciences > Commerce > Business Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 19 Feb 2024 12:26 Last modified: 11 Nov 2024 14:13 URI: https://strathprints.strath.ac.uk/id/eprint/88212