A1 Journal article (refereed), original research

Traditional and extended fleets in literature and practice: definition and untapped potential


Publication Details
Authors: Kinnunen Sini-Kaisu, Happonen Ari, Marttonen-Arola Salla, Kärri Timo
Publisher: Inderscience
Publication year: 2020
Language: English
Related Journal or Series Information: International Journal of Strategic Engineering Asset Management
Journal acronym: IJSEAM
Volume number: 3
Issue number: 3
Start page: 239
End page: 261
Number of pages: 23
ISSN: 1759-9733
eISSN: 1759-9741
JUFO-Level of this publication: 1
Open Access: Not an Open Access publication

Abstract

The concept of fleet is traditionally discussed in
certain industries, such as military, marine, logistics, and aviation
industries, where leadership- and asset management -related decisions
concerning a fleet of assets are made. Recently, the term fleet has also been
utilized in the asset management context, where the fleet can consist of machines
or equipment. To achieve the benefits of managing large groups of assets, it
would be beneficial to exploit the learnings from the traditional fleet
management fields in other environments, where fleets can be considered in an extended
manner. E.g. digitalization generates massive amounts of data which can be
exploited more efficiently for fleet management purposes. Data is increasingly
gathered not only of physical assets but of other assets, such as business
processes and humans, as well. The literature lacks a comprehensive review of
existing fleet research. The aim of this paper is to identify fleets appearing
in the literature and to find out whether we should make extended fleet
definitions to which the fleet management practices from traditional and
well-studied fleets can be applied. The research has been conducted by reviewing
the literature and describing empirical examples of different fleets. The empirical
part is based on interviews made in six cases with 19 interviews in ten
companies. The results indicate that traditional fleets have been studied widely,
but e.g. the more complex fleets in the manufacturing industry context could be
studied more deeply. In addition, fleet management learnings can be applied
widely to different types of asset groups, in other words to extended fleets. There
is potential to apply fleet management e.g. to improving business processes, managing
complex systems as a fleet, and categorizing fleets at multiple levels.


Last updated on 2020-21-07 at 13:04