TY  - CONF
TI  - Value Stream Mapping in machine allocation for construction logistics – a case study
AU  - Gloser, Franz-Ferdinand
AU  - Welle, Jörn
AU  - Wursthorn, Nico
AU  - John, (Paul) Christian
AU  - Haghsheno, Shervin
AD  - PhD Student, Karlsruhe Institute of Technology (KIT), Institute of Technology and Management in Construction, franz-ferdinand.gloser@kit.edu, orcid.org/0009-0006-7692-6194
AD  - Site manager, Implenia AG, Germany, joern.welle@gmx.de
AD  - PhD Student, Karlsruhe Institute of Technology (KIT), Institute of Technology and Management in Construction, Germany nico.wursthorn@kit.edu, orcid.org/0009-0007-4146-808X
AD  - PhD Student, Karlsruhe Institute of Technology (KIT), Institute of Technology and Management in Construction, Germany, christian.john@kit.edu, orcid.org/0009-0005-0648-9331
AD  - Professor, Karlsruhe Institute of Technology (KIT), Institute of Technology and Management in Construction, Germany, shervin.haghsheno@kit.edu, orcid.org/0000-0002-0602-6370
ED  - Hamzeh, Farook
ED  - Poshdar, Mani
ED  - Garcia-Lopez,, Nelly P.
ED  - Gan, Vincent
PY  - 2026
DA  - 2026/06/22
T2  - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)
C3  - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)
CY  - Singapore, Singapore
SP  - 1834
EP  - 1845
DO  - 10.24928/2026/0227
SN  - 2789-0015 (ISSN)
AB  - Construction projects are frequently affected by coordination problems, unreliable information flows, and logistical disruptions. In construction SMEs, these issues become particularly visible in machine allocation, where limited resource pools, cross-site competition, and incomplete visibility of machine status can create waste and reduce planning reliability. This paper investigates the machine allocation process of a medium-sized construction company through an exploratory case study that combines Value Stream Mapping (VSM), detailed process reconstruction, and a follow-up survey of those involved in the process on perceived usefulness. The analysis shows that major bottlenecks arise from fragmented availability checks, insufficient transparency of maintenance status, weak return notifications, and repeated clarification loops across process participants. Based on these findings, improvement features were developed and discussed with the core process participants interviewed. The follow-up survey indicates that time-based visibility of machine availability, stronger links to construction schedules, and improved resource transparency are perceived as particularly useful. The results are primarily beneficial to practitioners, as they provide their dispatchers and on-site employees with an improved overview of the machinery fleet. The features should be aligned with the needs of the employees in order to have a positive impact on machine utilization rates.
KW  - Construction logistics
KW  - machine allocation
KW  - value stream mapping
KW  - information flow
KW  - lean construction
L1  - https://www.iglc.net/papers/details/2525/pdf
UR  - https://www.iglc.net/papers/details/2525
DB  - IGLC.net
LA  - English
N1  - Export date: 04 October 2026
ER  -