A platform for research: civil engineering, architecture and urbanism
APRT-FMEA buffer sizing method in scheduling of a wind farm construction project
The purpose of this paper is to present an efficient model for project buffer sizing by taking failure mode and effects analysis (FMEA) into account to reach a more realistic schedule.
In the first phase of the project, several turbines were installed according to the primary schedule with an average duration of 142 days. Then, some of critical chain project management algorithms were separately applied in the implementation and installation of the other wind turbines. The adaptive procedure with resource tightness (APRT) method turned out to be the best method in terms of obtaining a more realistic schedule in this case study. Finally, FMEA was simultaneously applied with APRT.
Applying the hybrid method to the scheduling of the wind turbines, yielded the more realistic schedule than traditional.
The proposed hybrid APRT-FMEA algorithm was implemented on a real wind farm construction project which was completed with 37 percent shorter duration than the initial estimation; in spite of the initial estimation of 142 days, the project completed in 103 days.
Introducing and implementing a new algorithm which is a combination of buffer sizing algorithms and one of the well-known and mostly used risk assessment methods in order to provide the more realistic project schedule in the construction of wind turbines.
Introducing and implementing a novel algorithm which is a combination of conventional buffer sizing method and one of the efficient risk assessment methods in order to make the schedule more realistic.
APRT-FMEA buffer sizing method in scheduling of a wind farm construction project
The purpose of this paper is to present an efficient model for project buffer sizing by taking failure mode and effects analysis (FMEA) into account to reach a more realistic schedule.
In the first phase of the project, several turbines were installed according to the primary schedule with an average duration of 142 days. Then, some of critical chain project management algorithms were separately applied in the implementation and installation of the other wind turbines. The adaptive procedure with resource tightness (APRT) method turned out to be the best method in terms of obtaining a more realistic schedule in this case study. Finally, FMEA was simultaneously applied with APRT.
Applying the hybrid method to the scheduling of the wind turbines, yielded the more realistic schedule than traditional.
The proposed hybrid APRT-FMEA algorithm was implemented on a real wind farm construction project which was completed with 37 percent shorter duration than the initial estimation; in spite of the initial estimation of 142 days, the project completed in 103 days.
Introducing and implementing a new algorithm which is a combination of buffer sizing algorithms and one of the well-known and mostly used risk assessment methods in order to provide the more realistic project schedule in the construction of wind turbines.
Introducing and implementing a novel algorithm which is a combination of conventional buffer sizing method and one of the efficient risk assessment methods in order to make the schedule more realistic.
APRT-FMEA buffer sizing method in scheduling of a wind farm construction project
APRT-FMEA buffer sizing method
Zohrehvandi, Shakib (author) / Khalilzadeh, Mohammad (author)
Engineering, Construction and Architectural Management ; 26 ; 1129-1150
2019-05-10
22 pages
Article (Journal)
Electronic Resource
English
Buffer Sizing in Construction Scheduling Using Critical Chain Project Management
Springer Verlag | 2022
|Project buffer sizing and dynamic buffer consumption algorithm in power generation construction
Emerald Group Publishing | 2021
|Data-driven project buffer sizing in critical chains
Elsevier | 2022
|Construction Project Buffer Management in Scheduling Planning and Control
British Library Conference Proceedings | 2006
|Zusammenhang zwischen System-FMEA, Konstruktions-FMEA und Prozess-FMEA
Springer Verlag | 2019
|