Theory of Optimisation for Projects

Knowledge of the critical path and the degree of criticality and sensitivity of the task time is a specific problem requiring further research. Until now, there is no specific procedure to resolve resource contentions and general optimisation method due to its complexity (Herroelen, 2001) & (Penga & Huangb, 2013). The major result the author presents is a revision of the critical chain project scheduling process model by Tukel et al. (2006). The proposed TOP methodology presented, integrates different heterogeneous scenarios data sources to reduce the risk of the expected project time. The main contributions that the proposed TOP methodology can provide to the nuclear arena are the following: (1) delays are less likely when using the Criticality Index concept for selection of the critical chain using Monte-Carlo to manage highly uncertain tasks. The methodology will provide a unique, integrated and placid source of information, (2) complete view of heterogeneous critical task activities based on the array of information for validating the time sensitivity of tasks on the expected project time by correlation. The correlations display the degree of linear relationship between the task time and expected project time, (3) accurate information for project managers to make decisions. Using the TOP the nuclear area will be able to distinguish between the time sensitivity or insensitivity relationship between the task time and expected project time by Pearson product-moment, Spearman’s rank and Kendall’s tau rank that are not easily available with a simple system, and (4) ability to validate the time sensitivity of the task time on the expected project time by correlation using 50% sizing rule for time sensitivity dimension.