Simulated annealing for multiple construction project scheduling with multiple resource constraints

Multi-project scheduling is one of the most important and challenging parts of project scheduling. Having multiple projects with activities competing for multiple limited resources is common for almost all construction companies. However, available models can not handle properly scheduling of real m...

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Main Author: Seyed Mohsen Shahandashti.
Other Authors: Chen Po-Han
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/18188
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-181882023-03-03T19:25:48Z Simulated annealing for multiple construction project scheduling with multiple resource constraints Seyed Mohsen Shahandashti. Chen Po-Han School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Construction management Multi-project scheduling is one of the most important and challenging parts of project scheduling. Having multiple projects with activities competing for multiple limited resources is common for almost all construction companies. However, available models can not handle properly scheduling of real multiple projects. This research as its main contribution proposes a model for scheduling multiple projects with multiple resource constraints using Simulated Annealing algorithm. This model is more efficient than previously proposed ones since it is not as time consuming and impractical for real cases as exact methods and it is not as sensitive to the problem type as heuristics. This model can be used for a variety of real multi-project scheduling problems and it is easy to reproduce and follow by engineers. Master of Engineering (CEE) 2009-06-24T01:19:19Z 2009-06-24T01:19:19Z 2008 2008 Thesis http://hdl.handle.net/10356/18188 en 148 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering::Construction management
spellingShingle DRNTU::Engineering::Civil engineering::Construction management
Seyed Mohsen Shahandashti.
Simulated annealing for multiple construction project scheduling with multiple resource constraints
description Multi-project scheduling is one of the most important and challenging parts of project scheduling. Having multiple projects with activities competing for multiple limited resources is common for almost all construction companies. However, available models can not handle properly scheduling of real multiple projects. This research as its main contribution proposes a model for scheduling multiple projects with multiple resource constraints using Simulated Annealing algorithm. This model is more efficient than previously proposed ones since it is not as time consuming and impractical for real cases as exact methods and it is not as sensitive to the problem type as heuristics. This model can be used for a variety of real multi-project scheduling problems and it is easy to reproduce and follow by engineers.
author2 Chen Po-Han
author_facet Chen Po-Han
Seyed Mohsen Shahandashti.
format Theses and Dissertations
author Seyed Mohsen Shahandashti.
author_sort Seyed Mohsen Shahandashti.
title Simulated annealing for multiple construction project scheduling with multiple resource constraints
title_short Simulated annealing for multiple construction project scheduling with multiple resource constraints
title_full Simulated annealing for multiple construction project scheduling with multiple resource constraints
title_fullStr Simulated annealing for multiple construction project scheduling with multiple resource constraints
title_full_unstemmed Simulated annealing for multiple construction project scheduling with multiple resource constraints
title_sort simulated annealing for multiple construction project scheduling with multiple resource constraints
publishDate 2009
url http://hdl.handle.net/10356/18188
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