Hassan, A; El-Rayes, K and Attalla, M (2023) Stochastic scheduling optimization of repetitive construction projects to minimize project duration and cost. International Journal of Construction Management, 23(9), pp. 1447-1456. ISSN 1562-3599
Abstract
Considering risk and uncertainty during the scheduling optimization of repetitive construction projects is a challenging task. This article presents the development of a novel multi-objective stochastic scheduling optimization model for minimizing the expected project duration and cost of repetitive construction projects. The developed model integrated Monte Carlo simulation with a multi-objective genetic algorithm to: (1) consider uncertainties associated with the production rates of the construction crews; and (2) identify an optimal crew formation and crew deployment date for each activity that minimize the project duration and cost. The performance of the developed model was analyzed using a real-life case study that highlighted the novel model capabilities in generating a set of optimal trade-off solutions between expected project duration and cost while considering all uncertainties in crew production rates. These novel capabilities of the developed model enable construction planners to identify and implement an optimal resource utilization plan that account for inherent project risks.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | genetic algorithms; linear scheduling; Monte Carlo simulation; optimization; repetitive construction projects; uncertainty |
| Index terms: | genetic algorithm, case study, linear scheduling, duration, repetitive construction, construction planner, scheduling, Monte Carlo simulation, resource utilization |
| Subjects: | algorithms, building construction, data collection methods, site logistics, project controls, operations research, practitioner, modelling and simulation |
| Topics: | Time Control, Digital Applications, Research Practice, Construction Technology, Site Management, Roles and Professions |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here