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Stochastic Location Based Method Workflow Planning in Construction Project

Ghannad, Pedram | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47161 (09)
  4. University: Sharif University of Technology
  5. Department: Physics
  6. Advisor(s): Mortaheb, Mohammad Mehdi
  7. Abstract:
  8. Most construction projects contain activities repeated in project units or locations with definite consequence. These kinds of projects are called repetitive projects. One of the fundamental objectives of planning and scheduling of repetitive projects is using resources optimally and without interruption, a concept known as continuous workflow. Traditional planning and scheduling methods like Critical Path Method (CPM) are criticized for their disability to produce a reliable workflow. Ignoring the concept of workflow in project schedule causes time and cost overrun that arise from additional waiting times and also increase the risk of accessibility to resources on time. Therefore in this research, the effects of workflow and its continuity on project completion time and cost are discussed at first. Improving learning effect, more efficient use of time-dependent resources, decreasing waiting times, less additional movement and decreasing risk of absence and delay of crews are found to be the most important effects of continuous workflow in construction projects. In order to maintain the continuity of workflow in project schedule with a high confidence level, the research proposes stochastic location-based planning method with Monte Carlo simulation for planning and scheduling of construction projects. Although continuoues workflow decreases direct cost but too much emphasis on the continuity constraint could lead to increasing the time of project completion that increases in indirect costs of project, therefore planners face a time-cost trade off problem in this situation. Hence in the second part of this research, a method is introduced with application of Multi-objective Non-dominating Sorting Genetic algorithm II (NSGA-II) to find fast and precise solutions for the time-cost trade off problem. This method and model is meant to help planners choose the best solution and strategy for planning and scheduling of their projects
  9. Keywords:
  10. Monte Carlo Simulation ; Workflow ; Non-Dominate Sorting Genetic Algorithm (NSGAII) Method ; Location Based Planning Method ; Time-Cost Trade Off

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