Design of System for Controlling, Scheduling and Monitoring of Construction Project using System Software
| Autor(en): |
P. V. Ramadevi
|
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | International Journal of Advanced Civil Engineering and Architecture Research, 2014, n. 1, v. 3 |
| Seite(n): | 72-80 |
| Abstrakt: | Construction monitoring, controlling and scheduling is one of the important tool in a construction project. Every construction project involve with a lot of activities which need to be planned, monitored, controlled and scheduled properly to ensure the completion of the project. These project management techniques of planning, scheduling and controlling are used to complete the project within the stipulated time, scope, quality and cost. These techniques can be applied to all types of projects. Resource allocation and levelling are among the top challenges in project management, due to the complexity of projects. The main objective of this project is to optimize the resource schedule of construction project activities in order to minimize the total duration of the project, maximization of net present value, or minimization of average tardiness subjected to both precedence and resources constraints using an optimization technique called Ant Colony Optimizing Algorithm (ACO). This work describes an algorithm approach to Resource Constraint Project Scheduling Problems (RCPSP) in construction industry. The study on the optimization technique that is genetic algorithm and its terminology, operator, parameter used is clearly depicted. The modern approach of using ant colony algorithm technique to solve the Resource Constraint Project Scheduling Problems (RCPSP) problem for a construction project with constraints and to find the best optimal solution by overcoming the drawbacks in other optimization technique. The algorithm adapts to dynamic factors such as changes to the project plan or disturbances in the schedule execution. The ACO procedure then searches for an optimum set of tasks and priorities that produce shorter project duration and better-levelled resource profiles. |
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Datenseite - Reference-ID
10379512 - Veröffentlicht am:
11.11.2019 - Geändert am:
11.11.2019
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