Construction projects which involve multiple similar units and a set of activities that is repeated in these units are knows as repetitive projects. Repetitive projects optimization is crucial for the project to succeed and to achieve its objectives. As a result, several optimization methods have been developed to satisfy several optimization objectives. These methods usually consider the most important constraints and factors that can impact the repetitive project schedule. These methods can be grouped into three groups: mathematical, heuristic, and metaheuristic methods. This paper investigated the developed methods to identify their objectives, implications, main features and limitations. The most important constraints that may affect repetitive projects were also examined to be used in further optimization models. A quantitative analysis for the developed methods is also addressed in the paper. On the basis of this work, implications and guidelines for future research are addressed to enhance repetitive projects optimization and to cover the current unresolved problems.