Applying An Overlapped Design Schedule Based Dependency Structure Matrix to Minimize Project Makespan

Abstract

Design process scheduling is conducted by optimizing human resources or workers allocation to several tasks in project with several real constraints to achieve the objective, minimizing the project makespan. In real business case, despite the tasks are already allocated to the optimal workers, rework still can happen because of the uncertainty. The rework can lead to unexpected extra time consumption. To anticipate this unexpected problem, tasks overlapping method is proposed in this research to reduce the project makespan after worker allocation. However the task overlapping method has a drawback, it requires more coordination and interaction between workers who conduct each of overlapping tasks. This research emphasize overlapped design schedule in a design process based on worker cluster from Dependency Structure Matrix (DSM). Worker DSM is used to encounter the task overlapping’s drawback. Workers who come from same cluster have more coordination and interaction to each other. It is expected workers who assigned on tasks overlapped are from same cluster. This research’s intention is to provide the workers allocation to obtain optimal project makespan result and create worker clustering from worker-DSM to identify the tasks that can be overlapped in design process. It is also expected to show the possible rework time from tasks overlapping’s reduction time. Keywords— human resources allocation; project makespan; dependency structure matrix; worker cluster; overlapped design process; rework time