Bidding Strategy to Support Decision-Making Based on Comprehensive Information in Construction Projects
© 2016 Ru Liang et al. This paper develops a unified method to support contractor for bidding selection in construction projects. A cross-functional contractor with 28 candidate units distributed in the three departments (construction units, design units, and suppliers) is used as an example. This p...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
Hindawi Publishing Coporation
2016
|
| Online Access: | http://hdl.handle.net/20.500.11937/42401 |
| _version_ | 1848756409599000576 |
|---|---|
| author | Liang, R. Sheng, Z. Xu, F. Wu, Changzhi |
| author_facet | Liang, R. Sheng, Z. Xu, F. Wu, Changzhi |
| author_sort | Liang, R. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2016 Ru Liang et al. This paper develops a unified method to support contractor for bidding selection in construction projects. A cross-functional contractor with 28 candidate units distributed in the three departments (construction units, design units, and suppliers) is used as an example. This problem is first formulated as a 0-1 quadratic programming problem through optimizing individual performance and collaborative performance of the candidate units based on individual information and collaborative information. Then, a multiobjective evolutionary algorithm is designed to solve this problem and a bidding selection problem for a major bridge project is used to demonstrate our proposed method. The results show that the decision-maker (DM) obtains a better contractor if he pays more attention to collaborative performance. |
| first_indexed | 2025-11-14T09:11:45Z |
| format | Journal Article |
| id | curtin-20.500.11937-42401 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:11:45Z |
| publishDate | 2016 |
| publisher | Hindawi Publishing Coporation |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-424012017-09-13T14:25:25Z Bidding Strategy to Support Decision-Making Based on Comprehensive Information in Construction Projects Liang, R. Sheng, Z. Xu, F. Wu, Changzhi © 2016 Ru Liang et al. This paper develops a unified method to support contractor for bidding selection in construction projects. A cross-functional contractor with 28 candidate units distributed in the three departments (construction units, design units, and suppliers) is used as an example. This problem is first formulated as a 0-1 quadratic programming problem through optimizing individual performance and collaborative performance of the candidate units based on individual information and collaborative information. Then, a multiobjective evolutionary algorithm is designed to solve this problem and a bidding selection problem for a major bridge project is used to demonstrate our proposed method. The results show that the decision-maker (DM) obtains a better contractor if he pays more attention to collaborative performance. 2016 Journal Article http://hdl.handle.net/20.500.11937/42401 10.1155/2016/4643630 Hindawi Publishing Coporation fulltext |
| spellingShingle | Liang, R. Sheng, Z. Xu, F. Wu, Changzhi Bidding Strategy to Support Decision-Making Based on Comprehensive Information in Construction Projects |
| title | Bidding Strategy to Support Decision-Making Based on Comprehensive Information in Construction Projects |
| title_full | Bidding Strategy to Support Decision-Making Based on Comprehensive Information in Construction Projects |
| title_fullStr | Bidding Strategy to Support Decision-Making Based on Comprehensive Information in Construction Projects |
| title_full_unstemmed | Bidding Strategy to Support Decision-Making Based on Comprehensive Information in Construction Projects |
| title_short | Bidding Strategy to Support Decision-Making Based on Comprehensive Information in Construction Projects |
| title_sort | bidding strategy to support decision-making based on comprehensive information in construction projects |
| url | http://hdl.handle.net/20.500.11937/42401 |