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Project buffer sizing and dynamic buffer consumption algorithm in power generation construction

Zohrehvandi, S ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1108/ECAM-08-2020-0605
  3. Publisher: Emerald Group Holdings Ltd , 2022
  4. Abstract:
  5. Purpose: The aim of this research is to propose a buffer sizing and buffer controlling algorithm (BSCA) as a heuristic algorithm for calculating project buffer and feeding buffers as well as dynamic controlling of buffer consumption in different phases of a wind power plant project in order to achieve a more realistic project duration. Design/methodology/approach: The BSCA algorithm has two main phases of planning and buffer sizing and construction and buffer consumption. Project buffer and feeding buffers are determined in the planning and buffer sizing phase, and their consumption is controlled in the construction and buffer consumption phase. The heuristic algorithm was coded and run in MATLAB software. The sensitivity analysis was conducted to show the BSCA influence on project implementation. Then, to evaluate the BSCA algorithm, inputs from this project were run through several algorithms recently presented by researchers. Finally, the data of 20 projects previously accomplished by the company were applied to compare the proposed algorithm. Findings: The results show that BSCA heuristic algorithm outperformed the other algorithms as it shortened the projects' durations. The average project completion time using the BSCA algorithm was reduced by about 15% compared to the previous average project completion time. Originality/value: The proposed BSCA algorithm determines both the project buffer and feeding buffers and simultaneously controls their consumption in a dynamic way. © 2021, Emerald Publishing Limited
  6. Keywords:
  7. Buffer management ; Project management ; Schedule management ; Wind farm construction project ; Feeding ; MATLAB ; Sensitivity analysis ; Wind power ; Buffer sizing ; Design/methodology/approach ; Matlab- software ; Project buffers ; Project completion time ; Project implementation ; Realistic projects ; Heuristic algorithms
  8. Source: Engineering, Construction and Architectural Management ; Volume 29, Issue 2 , 2022 , Pages 716-738 ; 09699988 (ISSN)
  9. URL: https://www.emerald.com/insight/content/doi/10.1108/ECAM-08-2020-0605/full/html