| Issue |
MATEC Web Conf.
Volume 174, 2018
3rd Scientific Conference Environmental Challenges in Civil Engineering (ECCE 2018)
|
|
|---|---|---|
| Article Number | 04008 | |
| Number of page(s) | 8 | |
| Section | Innovative Construction Technologies and Exploitation of Buildings and Structures (Including Industrial, Hydrotechnical, Communal, Transportation and Geotechnical), BIM in Civil Engineering, Legal and Organizational Issues of Preparation and Implementation of Construction Projects | |
| DOI | https://doi.org/10.1051/matecconf/201817404008 | |
| Published online | 26 June 2018 | |
Bicriteria problem of discrete optimization in planning a multiunit construction project
Faculty of Civil Engineering, Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland
* Corresponding author: michal.podolski@pwr.edu.pl
The paper describes the bicriteria discrete optimization problem, that may occur during the scheduling of multiunit construction projects. The multiunit project involves the construction of many civil structures with the same sets of activities needed, but different in size. In the project the deadlines of activities in units are adopted. The missing of them by the contractor causes the payment of the disincentive penalty. The early completion of the activities in units is rewarded extra income for the construction contractor i.e. a incentive bonus. Changing the order of the execution of the units changes the value of the objective functions: the duration of the project and the cost (the sum of the disincentive penalties and incentive bonuses). The proposed model of the project is the bicriteria NP-hard flow shop problem with constraints characteristic for construction projects. The paper presents the method of determining the set of Paretooptimal solutions for small projects. The computational example of the model of the project is also included in the paper.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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