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Identifying root causes of inefficiencies in road haulage: case studies from Sweden, Switzerland and Germany

Sternberg, Henrik LU and Harispuru, Lina (2017) In International Journal of Logistics Research and Applications 20(1). p.73-83
Abstract
Road haulage operations in general, and distribution in particular, are inefficient. Given the societal importance of road haulage and the low efficiency of the sector, road hauliers need to improve their operations and systematically tackle inefficiencies. However, the real causes of these inefficiencies, the “root causes”, have not been sufficiently examined in previous studies. This paper expands on prior research by adapting existing models that can be used to identify the root causes of inefficiencies, and to enable systematic improvements in road transport operations. Our research is based on a lean approach and an adapted version of Ishikawa’s model. It is shown as a matrix based on transport processes and the Ishikawa categories to... (More)
Road haulage operations in general, and distribution in particular, are inefficient. Given the societal importance of road haulage and the low efficiency of the sector, road hauliers need to improve their operations and systematically tackle inefficiencies. However, the real causes of these inefficiencies, the “root causes”, have not been sufficiently examined in previous studies. This paper expands on prior research by adapting existing models that can be used to identify the root causes of inefficiencies, and to enable systematic improvements in road transport operations. Our research is based on a lean approach and an adapted version of Ishikawa’s model. It is shown as a matrix based on transport processes and the Ishikawa categories to identify the root causes of inefficiencies in road haulage that influence performance. The adapted model was tested in three road haulage case studies. Our findings suggest that most efficiency problems appear in the actual transport execution. (Less)
Abstract (Swedish)
Road haulage operations in general, and distribution in particular, are inefficient. Given the societal importance of road haulage and the low efficiency of the sector, road hauliers need to improve their operations and systematically tackle inefficiencies. However, the real causes of these inefficiencies, the “root causes”, have not been sufficiently examined in previous studies. This paper expands on prior research by adapting existing models that can be used to identify the root causes of inefficiencies, and to enable systematic improvements in road transport operations. Our research is based on a lean approach and an adapted version of Ishikawa’s model. It is shown as a matrix based on transport processes and the Ishikawa categories to... (More)
Road haulage operations in general, and distribution in particular, are inefficient. Given the societal importance of road haulage and the low efficiency of the sector, road hauliers need to improve their operations and systematically tackle inefficiencies. However, the real causes of these inefficiencies, the “root causes”, have not been sufficiently examined in previous studies. This paper expands on prior research by adapting existing models that can be used to identify the root causes of inefficiencies, and to enable systematic improvements in road transport operations. Our research is based on a lean approach and an adapted version of Ishikawa’s model. It is shown as a matrix based on transport processes and the Ishikawa categories to identify the root causes of inefficiencies in road haulage that influence performance. The adapted model was tested in three road haulage case studies. Our findings suggest that most efficiency problems appear in the actual transport execution. (Less)
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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Road freight transportation, haulier efficiency, Lean transportation, Transport improvement, Road freight transportation, haulier efficiency, Lean transportation, transport improvement
in
International Journal of Logistics Research and Applications
volume
20
issue
1
pages
11 pages
publisher
Taylor & Francis
external identifiers
  • scopus:84991039882
  • wos:000397817000007
ISSN
1469-848X
DOI
10.1080/13675567.2016.1241861
language
English
LU publication?
yes
id
999961cb-a415-4f9b-b965-fb9b1033985b
date added to LUP
2016-10-24 14:46:41
date last changed
2022-04-24 18:31:53
@article{999961cb-a415-4f9b-b965-fb9b1033985b,
  abstract     = {{Road haulage operations in general, and distribution in particular, are inefficient. Given the societal importance of road haulage and the low efficiency of the sector, road hauliers need to improve their operations and systematically tackle inefficiencies. However, the real causes of these inefficiencies, the “root causes”, have not been sufficiently examined in previous studies. This paper expands on prior research by adapting existing models that can be used to identify the root causes of inefficiencies, and to enable systematic improvements in road transport operations. Our research is based on a lean approach and an adapted version of Ishikawa’s model. It is shown as a matrix based on transport processes and the Ishikawa categories to identify the root causes of inefficiencies in road haulage that influence performance. The adapted model was tested in three road haulage case studies. Our findings suggest that most efficiency problems appear in the actual transport execution.}},
  author       = {{Sternberg, Henrik and Harispuru, Lina}},
  issn         = {{1469-848X}},
  keywords     = {{Road freight transportation; haulier efficiency; Lean transportation; Transport improvement; Road freight transportation; haulier efficiency; Lean transportation; transport improvement}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{73--83}},
  publisher    = {{Taylor & Francis}},
  series       = {{International Journal of Logistics Research and Applications}},
  title        = {{Identifying root causes of inefficiencies in road haulage: case studies from Sweden, Switzerland and Germany}},
  url          = {{http://dx.doi.org/10.1080/13675567.2016.1241861}},
  doi          = {{10.1080/13675567.2016.1241861}},
  volume       = {{20}},
  year         = {{2017}},
}