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A heuristic buffer sizing algorithm for implementing a renewable energy project
Abstract 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.
Highlights A heuristic Fuzzy Overlapping Buffer Management Algorithm (FOBMA) is proposed. The algorithm simultaneously calculates the sizes of project buffer and feeding buffers, and controls buffer consumption dynamically. Pentagonal fuzzy numbers were used to determine the amount of project activity resources. An overlapping method was applied to obtain more realist activity durations. The performance of this algorithm was compared to the other algorithms using a range of actual projects and randomly generated numerical examples. The findings demonstrate that the algorithm outperforms the other algorithms.
A heuristic buffer sizing algorithm for implementing a renewable energy project
Abstract 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.
Highlights A heuristic Fuzzy Overlapping Buffer Management Algorithm (FOBMA) is proposed. The algorithm simultaneously calculates the sizes of project buffer and feeding buffers, and controls buffer consumption dynamically. Pentagonal fuzzy numbers were used to determine the amount of project activity resources. An overlapping method was applied to obtain more realist activity durations. The performance of this algorithm was compared to the other algorithms using a range of actual projects and randomly generated numerical examples. The findings demonstrate that the algorithm outperforms the other algorithms.
A heuristic buffer sizing algorithm for implementing a renewable energy project
Zohrehvandi, Shakib (Autor:in) / Khalilzadeh, Mohammad (Autor:in) / Amiri, Maghsoud (Autor:in) / Shadrokh, Shahram (Autor:in)
12.05.2020
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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