Repetitive Project Optimization with Dynamic Programming Method

Abstract

Repetitive Scheduling Method is a scheduling method tailored specifically for projects with repetitive activities.
 Project optimization is done to optimize the cost and duration to be as small and fast as they can be, but
 applications of project optimization in repetitive projects are inefficient and leaves a lot of room for error.
 Research analyses uses dynamic programming with the program Python and Google OR-Tools. This
 research starts with designing a set of dynamic programing script for project optimization, testing it on a
 project, and comparing it to results based on manual application. Project optimization analyses using dynamic
 programming will result on comparisons between cost and duration in a project. The script is then slightly
 adjusted and implemented on multiple critical path project. It is concluded that dynamic programming method
 is more efficient and faster in project optimization.