TY - JOUR
T1 - A heuristic buffer sizing algorithm for implementing a renewable energy project
AU - Zohrehvandi, Shakib
AU - Khalilzadeh, Mohammad
AU - Amiri, Maghsoud
AU - Shadrokh, Shahram
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/9
Y1 - 2020/9
N2 - The swiftly growing wind farm projects together with the increasing uncertainty of these types of construction projects makes it more probable that projects will face delay. This research aims to introduce a heuristic algorithm to determine the sizes of project buffer and feeding buffers as well as dynamically control buffer consumption, named as Fuzzy Overlapping Buffer Management Algorithm (FOBMA). In this paper, the pentagonal fuzzy numbers were used to determine the appropriate amount of project activity resources. Also, an overlapping method was applied to obtain more realist activity durations. The FOBMA algorithm was compared to other algorithms using the data of 15 real-world wind farm projects as well as 15 randomly generated numerical examples. Moreover, the sensitivity analysis was conducted to validate the performance of the proposed algorithm. The findings demonstrate that the proposed FOBMA algorithm outperforms the other algorithms and yielded more realistic and shorter project duration.
AB - The swiftly growing wind farm projects together with the increasing uncertainty of these types of construction projects makes it more probable that projects will face delay. This research aims to introduce a heuristic algorithm to determine the sizes of project buffer and feeding buffers as well as dynamically control buffer consumption, named as Fuzzy Overlapping Buffer Management Algorithm (FOBMA). In this paper, the pentagonal fuzzy numbers were used to determine the appropriate amount of project activity resources. Also, an overlapping method was applied to obtain more realist activity durations. The FOBMA algorithm was compared to other algorithms using the data of 15 real-world wind farm projects as well as 15 randomly generated numerical examples. Moreover, the sensitivity analysis was conducted to validate the performance of the proposed algorithm. The findings demonstrate that the proposed FOBMA algorithm outperforms the other algorithms and yielded more realistic and shorter project duration.
KW - Buffer management
KW - Buffer sizing and controlling algorithm
KW - Construction project
KW - Pentagonal fuzzy numbers
KW - Project scheduling
KW - Wind farm
UR - http://www.scopus.com/inward/record.url?scp=85084953869&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2020.103267
DO - 10.1016/j.autcon.2020.103267
M3 - Article
AN - SCOPUS:85084953869
SN - 0926-5805
VL - 117
JO - Automation in Construction
JF - Automation in Construction
M1 - 103267
ER -