A genetic algorithm for resource leveling of construction projects

Iranagh, Mahdi Abbasi
Sönmez, Rifat
Critical path method (CPM) is commonly used in scheduling of construction projects. However, CPM only considers the precedence relations between the activities and does not consider resource optimization during scheduling of projects. Optimal allocation of resources can be achieved by resource levelling. Resource levelling is crucial for effective use of construction resources particularly to minimize the project costs. However, commercial scheduling software has very limited capabilities for solving the resource levelling problem. In this study a genetic algorithm (GA) is developed for the resource levelling problem. The performance of GA is compared with the performance of Microsoft Project 2010 for several sample projects. The comparisons indicate that the GA outperforms resource levelling heuristic of Microsoft Project 2010 significantly. Furthermore, exact solutions were obtained for the sample problems using linear-integer programming technique. Exact solutions reveal that the algorithm is capable of achieving adequate solutions. Hence, the GA provides a powerful alternative for the resource levelling problem.


The Resource allocation capabilities of commercial construction project management software for the resource leveling problem /
Rezvan Khah, Emad; Sönmez, Rifat; Atan, S. Tankut; Department of Civil Engineering (2014)
Critical path method (CPM) has been commonly used for scheduling of construction projects. However, CPM only considers the relations between the activities, but does not optimize the resource allocation. Resource leveling problem (RLP) concentrates on optimizing resource utilization histograms obtained by Critical Path Method (CPM) without changing the project duration. Resource leveling is crucial for effective use of construction resources particularly, manpower and machinery resources to minimize the pro...
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The resource-constrained project scheduling problem (RCPSP) aims to find a schedule of minimum makespan by starting each activity such that resource constraints and precedence constraints are respected. However, as the problem is NP-hard (Non-Deterministic Polynomial-Time Hard) in the strong sense, the performance of exact procedures is limited and can only solve small-sized project networks. In this study a genetic algorithm is proposed for the RCPSP. The proposed genetic algorithm (GA) aims to find near-o...
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The general resource constrained multi-project scheduling problem (RCMPSP) consists of simultaneous scheduling of two or more projects with common resource constraints, while minimizing duration of the projects. Critical Path Method and other scheduling methods do not consider resource conflicts and practically used commercial project management software packages and heuristic methods provide very limited solutions for the solution of the RCMPSP. Considering the practical importance of multi-project schedul...
Citation Formats
M. A. Iranagh and R. Sönmez, “A genetic algorithm for resource leveling of construction projects,” 2012, vol. 2, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84911874180&origin=inward.