Multimode Resource-Constrained Multiple Project Scheduling Problem under Fuzzy Random Environment and Its Application to a Large Scale Hydropower Construction Project
This paper presents an extension of the multimode resource-constrained project scheduling problem for a large scale construction project where multiple parallel projects and a fuzzy random environment are considered. By taking into account the most typical goals in project management, a cost/weight...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/463692 |
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| Summary: | This paper presents an extension of the multimode resource-constrained
project scheduling problem for a large scale construction project where
multiple parallel projects and a fuzzy random environment are considered.
By taking into account the most typical goals in project management,
a cost/weighted makespan/quality trade-off optimization model is constructed.
To deal with the uncertainties, a hybrid crisp approach is used to transform the
fuzzy random parameters into fuzzy variables that are subsequently defuzzified
using an expected value operator with an optimistic-pessimistic index. Then a
combinatorial-priority-based hybrid particle swarm optimization algorithm is developed
to solve the proposed model, where the combinatorial particle swarm optimization and
priority-based particle swarm optimization are designed to assign modes to activities and to schedule
activities, respectively. Finally, the results and analysis of a practical
example at a large scale hydropower construction project are presented to demonstrate the practicality
and efficiency of the proposed model and optimization method. |
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| ISSN: | 2356-6140 1537-744X |