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Future Logistical Services from Connected Vehicles: A Case Study at Scania CV AB
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences.
2017 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The road based transportation operations are growing rapidly, but the current infrastructure cannot sustain the entire growth. At the same time vehicle utilisation and fill rates are low. Improved efficiency of the operations is a necessary way forward for road based transportation. Parallel to this, heavy vehicle producers are currently improving the efficiency with services accompanying the product that are focused on the driver and the vehicle performance. However, the data from connected vehicles required for these services only entail a small amount of the operational data generated by connected vehicles. The case study aims to answer how to use connected vehicle operational data in order to suggest value adding services in a dynamic road distribution system. The applied methodology is an inductive study with an explanatory approach to map the current and future service offerings of the case company. This knowledge is combined with an exploratory approach with interviews of transport planners and theories of Lean and fleet management. Primarily, it is concluded that the perspective of operational data requires widening. Considering not only driver and vehicle operations but rather the entire transport operation of a company. It is also concluded that value creation with operational data is possible during three phases of fleet management. First, if knowledge about order data is accessible, the planning of transportations can be improved using route optimisation and operations research. Secondly, it is possible to create value during the execution phase, throughless manual supervision and communication by transport planners. Lastly, both the currently used operational data and further data usage can contribute to a better understanding of the performance of a fleet operation and facilitate for continuous improvements during an evaluation phase.

Place, publisher, year, edition, pages
2017. , p. 51
Keywords [en]
Lean, Logistics, Transport Management, Supply Chain, Fleet Management System, Connected Vehicles, Big Data, Operations Research, Service Development
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ltu:diva-64013OAI: oai:DiVA.org:ltu-64013DiVA, id: diva2:1109796
External cooperation
Scania CV AB
Subject / course
Student thesis, at least 30 credits
Educational program
Industrial and Management Engineering, master's level
Supervisors
Examiners
Available from: 2017-06-20 Created: 2017-06-14 Last updated: 2017-06-20Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf