A Generalized Time-Scale Network Simulation Using Chronographic Dynamics Relations

The scheduling information for complex and fast-track projects is often incomplete, and some decisions are postponed for a later date when new data is available. One solution is to propose several alternative task execution sequences, which could mitigate some uncertain and doubtful results. However, the use of non-time-scaled solutions prevents their integration into the existing construction planning software. This paper reviews and analyses the roles, advantages and disadvantages of the Temporal Function as proposed by the Chronographic Scheduling Method and introduces a generalized time-scale network simulation by means of production-based dynamics relations. The proposed solution uses decision points as part of the temporal functions which manage the uncertainty and their interdependencies. These functions are extended to represent the existing risks associated with an activity and its respective probabilities. The probabilities are represented by an entity that contains the most probable duration, and productivity values with their corresponding costs. This model is characterized by its relative ability to perform simulation studies based on the probabilistic aspect of the dynamic relationships and the streamlining of interactions between activities.