Abstract

Extreme weather significantly impacts construction schedules and costs and can be a source of schedule de­lays and budget overruns. A multi-objective optimization model, presented herein for the scheduling of construction projects under extreme weather conditions, can generate optimal/near optimal schedules that minimize the time and cost of construction projects in extreme weather regions. The model computations are organized as follows: (1) a scheduling module for developing practical schedules for construction projects, (2) a cost module for computing total project cost, and (3) a multi-objective module for determining optimal/near optimal trade-offs between project time and cost. Two practical examples of the effects of extreme weather on construction time and direct cost are provided, the first of which shows the impact of extreme weather on construction time and cost, and the second of which demonstrates the ability of the model to generate and visually present the optimal trade-offs between the duration and costs of construction projects under extreme weather conditions.

Highlights

  • Extreme weather conditions significantly affect project schedules and costs and may reduce workers’ productivity tremendously

  • El-Rayes and Moselhi (2001) developed a decision support system to quantify the impact of rainfall on the productivity and duration of highway construction operations

  • The objective of this module is to search for optimal/ near-optimal trade-offs between project time and total cost using a multi-objective genetic algorithm model

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Summary

Introduction

Extreme weather conditions significantly affect project schedules and costs and may reduce workers’ productivity tremendously. (2) minimize the cost and time of construction projects and maximize their quality using a time-cost-quality trade-off analysis (El-Rayes, Kandil 2005; Afshar et al 2007; Diao et al 2011); and (3) minimize the time and maximize profits of construction projects using a timeprofit trade-off analysis (Senouci, El-Rayes 2009; Fathi, Afshar 2010; Elazouni, Abido 2011; Jiang et al 2011) These studies have significantly contributed to this valuable research area, little or no reported research has focused on the scheduling of construction projects in extreme weather regions. It can generate scheduling plans that provide optimal trade-offs between project duration and cost

Decision variables
Search space
Model implementation
Weather-adjusted activity durations
Activity start and finish times
Weather-adjusted activity direct cost
Multi-objective genetic algorithm module
Findings
Summary and conclusions
Full Text
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