Prioritisation of performance indicators in air cargo demand management: an insight from industry
Prioritisation of performance indicators in air cargo demand management: an insight from industry
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.
108-113
May, A.
9829296a-561a-49e5-a78b-b4cfad7f5ca1
Anslow, A.
cb6dad07-c6ec-4f5d-8d05-0f8f1f8db7b9
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Ojiako, Udechukwu
ba4aa342-5408-48d7-b71d-8197388bbb80
Chipulu, M.
12545803-0d1f-4a37-b2d2-f0d21165205e
Marshall, A.
93aa95a2-c707-4807-8eaa-1de3b994b616
2014
May, A.
9829296a-561a-49e5-a78b-b4cfad7f5ca1
Anslow, A.
cb6dad07-c6ec-4f5d-8d05-0f8f1f8db7b9
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Ojiako, Udechukwu
ba4aa342-5408-48d7-b71d-8197388bbb80
Chipulu, M.
12545803-0d1f-4a37-b2d2-f0d21165205e
Marshall, A.
93aa95a2-c707-4807-8eaa-1de3b994b616
May, A., Anslow, A., Wu, Y., Ojiako, Udechukwu, Chipulu, M. and Marshall, A.
(2014)
Prioritisation of performance indicators in air cargo demand management: an insight from industry.
Supply Chain Management, 19 (1), .
(doi:10.1108/SCM-07-2013-0230).
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.
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More information
Accepted/In Press date: 9 October 2013
e-pub ahead of print date: 7 January 2014
Published date: 2014
Organisations:
Centre of Excellence for International Banking, Finance & Accounting
Identifiers
Local EPrints ID: 358618
URI: http://eprints.soton.ac.uk/id/eprint/358618
ISSN: 1359-8546
PURE UUID: aa8697d3-e783-4758-b7e7-82e5b2a7b155
Catalogue record
Date deposited: 11 Oct 2013 13:34
Last modified: 15 Mar 2024 03:33
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Contributors
Author:
A. May
Author:
A. Anslow
Author:
Udechukwu Ojiako
Author:
M. Chipulu
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