An integrated method for managing complex engineering projects using the design structure matrix and advanced simulation

Abstract

This thesis proposes an integrated project management framework for complex engineering projects such as the development of an automobile. The integrated method streamlines project planning and control using three modules: structuring, modeling, and scheduling. In the structuring module, the design structure matrix (DSM) method is used to structure the information flows among tasks and capture the iteration loops. By classifying various types of information dependencies, a critical dependency path is identified and redundant constraints are removed for the modeling and scheduling analyses. In the modeling module, a generalized process model predicts complex behaviors of iterative processes using advanced simulation techniques such as the Latin Hypercube Sampling and parallel discrete event simulation. The model computes the probability distribution of lead time and identifies critical paths in a resource-constrained, iterative project. Using the results of analyses from the structuring and modeling modules, a network-based schedule in the form of a PERT or Gantt chart is developed in the scheduling module. The schedule is used as the basis for monitoring and control of the project. The primary goal of this work is to develop an integrated method that guides project management efforts by improving the effectiveness and predictability of complex processes. The method can also be used for identifying leverage points for process improvements and evaluating alternative planning and execution strategies. Better project management will ultimately result in a better quality product with timely delivery to customers. Two case studies are performed to illustrate the utility of the method.