Scheduling of Repetitive Activities for Height-Rise Buildings: Optimisation by Genetic Algorithms

In this paper, a developed prototype for the scheduling of repetitive activities in heightrise buildings was presented. The activities that describe the behaviour of the most of activities in multi-storey buildings are scheduled using the developed approach. The prototype combines three methods to attain the optimized planning. The methods include Critical Path Method (CPM), Gantt and Line of Balance (LOB). The developed prototype; POTER is used to schedule repetitive and non-repetitive activities with respect to all constraints that can be automatically generated using a generic database. The prototype uses the method of genetic algorithms for optimising the planning process. As a result, this approach enables contracting organisations to evaluate various planning solutions that are calculated, tested and classified by POTER to attain an optimal time-cost equilibrium according to their own criteria of time or coast.