Pipe‐spool module assembly involves a variety of uncertain factors and constraints, which complicate the assembly scheduling process. These factors also pose a challenge for the scheduler who struggles to produce a schedule that optimizes both the use of available resources (e.g. space) and meets the project's delivery deadlines. In the relatively quick production cycle of module assembly, the scheduling process plays an operative role. Thus, automation of the process would enhance productivity of the schedule updating process. This paper seeks to address this issue.
A simulation‐based approach is presented for scheduling pipe‐spool module assembly. This approach incorporates physical and logical constraints. General purpose simulation (GPS) is used to model these logical and heuristic constraints.
The application of the proposed model to an actual case study demonstrates the significant improvement in the assembly schedule when compared to traditional CPM‐based scheduling techniques.
The proposed model allows schedulers to experiment with various rules in order to improve the scheduling process by, for example, instantly updating the schedule.
