Resource-Constrained Scheduling in Repetitive Projects

Abstract

The optimal allocation of resources is a critical factor for the successful implementation of construction projects since it ensures stability in the work execution. Resource allocation is a complex optimization analysis, especially when it comes to linear or repetitive projects. In such projects, the Line of Balance scheduling method is preferred to the CPM-based scheduling. This study aims at developing a multi-objective model for optimizing resource allocation in such type of projects under different objective criteria and problem constraints. The practical implications of each criterion in terms of project cost are considered to provide some guidance on what criterion may be more suitable under particular circumstances. The optimization is obtained through a genetic algorithm formulation implemented in a spreadsheet form and with the use of a commercial optimization software. Indicative evaluation results are presented on the basis of a case study and show that criteria involving as decision parameters the cumulative exceedance of resources above a given resource availability threshold or the total number of resource movements in and out of the project may be the most appropriate to simulate actual costs and provide effective resource allocation solutions.