Bryan Adey

Dr. Bryan Adey

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2018 in Automation in Construction
Verified
Journal Article
Closed access
Borja García de SotoBorja García de Soto
Borja García de Soto
IAIsolda Agustí-Juan
Isolda Agustí-Juan
JHJens Hunhevicz
Jens Hunhevicz
SJSamuel Joss
Samuel Joss
KGKonrad Graser
Konrad Graser
BABryan Adey
Bryan Adey

1 October 2018 in Automation in Construction
Verified
Journal Article
Closed access
QCQian Chen
Qian Chen
Borja García de SotoBorja García de Soto
Borja García de Soto
BABryan Adey
Bryan Adey

1 May 2013 in Construction and Building Materials
Verified
Journal Article
Closed access
AJAmin Jamali
Amin Jamali
UAUeli Angst
Ueli Angst
BABryan Adey
Bryan Adey
BEBernhard Elsener
Bernhard Elsener

7 August 2012 in Materials and Corrosion
Verified
Journal Article
Closed access
PDF file
UAUeli Angst
Ueli Angst
BEBernhard Elsener
Bernhard Elsener
AJA. Jamali
A. Jamali
BABryan Adey
Bryan Adey

1 March 2013 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
MDMarkus Deublein
Markus Deublein
MSMatthias Schubert
Matthias Schubert
BABryan Adey
Bryan Adey
JKJochen Köhler
Jochen Köhler
MFMichael H. Faber
Michael H. Faber

8 June 2020 in Construction Innovation
Verified
Journal Article
Closed access
QCQian Chen
Qian Chen
BABryan Adey
Bryan Adey
CHCarl Haas
Carl Haas
DHDaniel M. Hall
Daniel M. Hall
Purpose: Building information modelling (BIM) and radio frequency identification (RFID) technologies have been extensively explored to improve supply chain visibility and coordination of material flow processes, particularly in the pursuit of Industry 4.0. It remains challenging, however, to effectively use these technologies to enable the precise and reliable coordination of material flow processes. This paper aims to propose a new workflow designed to include the use of detailed look-ahead plans when using BIM and RFID technologies, which can accurately track and match both the dynamic site needs and supply status of materials.Design/methodology/approach: The new workflow is designed according to lean theory and is modeled using business process modeling notation. To digitally support the workflow, an integrated BIM-RFID database system is constructed that links information on material demands with look-ahead plans. The new workflow is then used to manage material flows in the erection of an office building with prefabricated columns. The performance of the new workflow is compared with that of a traditional workflow, using discrete event simulations. The input for the simulations was derived from expert opinion in semi-structured interviews.Findings: The new workflow enables contractors to better observe on-site status and differences between the actual and planned material requirements, as well as to alert suppliers if necessary. The simulation results indicate that the new workflow has the potential to reduce the duration of the material flow processes by 16.1% compared with the traditional workflow.Research limitations/implications: The new workflow is illustrated using a real-world-like situation with input data based on expert opinion. Although the workflow shows potential, it should be tested on a real-world site.Practical implications: The new workflow allows project participants to combine detailed near-term look-ahead plans with BIM and RFID technologies to better manage material flow processes. It is particularly useful for the management of engineer-to-order components considering the dynamic site progress.Originality/value: The research improves on existing research focused on using BIM and RFID technologies to improve material flow processes by showing how the workflow can be adapted to use detailed look-ahead plans. It reinforces data-driven construction material management practices through improved visibility and reliability in planning and control of material flow processes.