Studies on Optimal Fuzzy Scheduling for Construction Projects

碩士 === 國立臺灣科技大學 === 營建工程技術學系 === 86 === Activity durations are generally represented by crisp values in traditional construction scheduling problems. However, due to the existence of environmentalvariation, there are many uncertainties when defining activity duration. The purpose of this thesis is t...

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Main Authors: Chen An-Ting, 陳安亭
Other Authors: Leu Sou-Sen
Format: Others
Language:zh-TW
Published: 1998
Online Access:http://ndltd.ncl.edu.tw/handle/12658553921112172027
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spelling ndltd-TW-086NTUST5120062015-10-13T17:30:24Z http://ndltd.ncl.edu.tw/handle/12658553921112172027 Studies on Optimal Fuzzy Scheduling for Construction Projects 專案工程模糊排程最適化求解之探討 Chen An-Ting 陳安亭 碩士 國立臺灣科技大學 營建工程技術學系 86 Activity durations are generally represented by crisp values in traditional construction scheduling problems. However, due to the existence of environmentalvariation, there are many uncertainties when defining activity duration. The purpose of this thesis is to analyze the construction scheduling problems under uncertainty. The proposed model includes three submodels. They are resource-constrained model, time/cost trade-off model, and resource leveling model. To develop such a model, fuzzy sets theory was used to describe the uncertainactivity duration. Genetic Algorithms (GAs) was used to search optimal solutionsof the scheduling problems. α-cuts were used to transfer fuzzy activities durationinto crisp values, under scheduler''s risk acceptable level. Completely optimal fuzzy scheduling models were then discussed. Leu Sou-Sen 呂守陞 1998 學位論文 ; thesis 0 zh-TW
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description 碩士 === 國立臺灣科技大學 === 營建工程技術學系 === 86 === Activity durations are generally represented by crisp values in traditional construction scheduling problems. However, due to the existence of environmentalvariation, there are many uncertainties when defining activity duration. The purpose of this thesis is to analyze the construction scheduling problems under uncertainty. The proposed model includes three submodels. They are resource-constrained model, time/cost trade-off model, and resource leveling model. To develop such a model, fuzzy sets theory was used to describe the uncertainactivity duration. Genetic Algorithms (GAs) was used to search optimal solutionsof the scheduling problems. α-cuts were used to transfer fuzzy activities durationinto crisp values, under scheduler''s risk acceptable level. Completely optimal fuzzy scheduling models were then discussed.
author2 Leu Sou-Sen
author_facet Leu Sou-Sen
Chen An-Ting
陳安亭
author Chen An-Ting
陳安亭
spellingShingle Chen An-Ting
陳安亭
Studies on Optimal Fuzzy Scheduling for Construction Projects
author_sort Chen An-Ting
title Studies on Optimal Fuzzy Scheduling for Construction Projects
title_short Studies on Optimal Fuzzy Scheduling for Construction Projects
title_full Studies on Optimal Fuzzy Scheduling for Construction Projects
title_fullStr Studies on Optimal Fuzzy Scheduling for Construction Projects
title_full_unstemmed Studies on Optimal Fuzzy Scheduling for Construction Projects
title_sort studies on optimal fuzzy scheduling for construction projects
publishDate 1998
url http://ndltd.ncl.edu.tw/handle/12658553921112172027
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