Project Management for a Wind Turbine Construction by Applying Fuzzy Multiple Objective Linear Programming Models

Meeting the demand of energy is a challenge for many countries these days, and generating electricity from renewable resources has become a main trend for future economic development. The construction of a renewable energy plant is costly and timely; therefore, a good project management model is ess...

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Veröffentlicht in:Energies (Basel) Jg. 9; H. 12; S. 1060
Hauptverfasser: Kang, He-Yau, Lee, Amy, Huang, Tzu-Ting
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.12.2016
Schlagworte:
fuzzy multiple objective linear programming (FMOLP)
Linear programming
program evaluation and review technique (PERT)
Project management
renewable energy
wind turbine
ISSN:1996-1073, 1996-1073
Online-Zugang:Volltext
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Zusammenfassung:Meeting the demand of energy is a challenge for many countries these days, and generating electricity from renewable resources has become a main trend for future economic development. The construction of a renewable energy plant is costly and timely; therefore, a good project management model is essential. In this paper, a fuzzy multiple objective linear programming (FMOLP) model is constructed based on program evaluation and review technique (PERT) first. With the consideration of the different degrees of importance of the multiple objectives, a fuzzy multiple weighted-objective linear programming (FMWOLP) model is constructed next. Through each proposed model, a compromise solution can be devised to maximize the total degree of satisfaction while considering multiple objectives. The results can provide references for the management on what activities and how long these activities should be crashed, how much the total project cost should be, and how long the total project duration time should be. Finally, the proposed models are applied to a case study of a wind turbine construction in Taiwan.
Bibliographie:ObjectType-Article-1
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ISSN:1996-1073
1996-1073
DOI:10.3390/en9121060