The need to develop an optimized project schedule system is critical because of the impact of project failure on society. Project failure is influenced by the combination of cost, time and scope. Structured schedule management is more effective as compared to non-structured or random schedules in project success. This paper presents a comprehensive strategy for developing an effective and structured project schedule procedure for the construction of a solar power plant in South Africa. Existing data from the already constructed solar power plant is used in the analysis. The integration of linear schedule method (LSM), critical path method (CPM) and statistical analysis is used to develop the proposed improved and structured project schedule procedure. The results analysis shows that LSM provides a significant relationship between time-buffer and duration for all activities and its implication when there are changes. Furthermore, the integration of CPM and statistical analysis shows that ‘earliest start’ has substantial influence of more than 60% on the ‘earliest finish’ compared to the duration of the activity. In context the ‘earliest start’ p-value for all activity paths is less than the p-value of duration of activity.The research study concludes that the ‘earliest start’ of the activities within critical paths are very important as to determine the project completion time. Therefore, it is recommended that LSM should be applied to the repetitive activities, subsequently the critical path should be calculated using CPM and afterward the ‘earliest start’ of the activities within the critical path should be objectively determined.