<p>The Line of Balance (LOB) technique is essential for scheduling repetitive projects, offering benefits over the Critical Path Method (CPM) by ensuring consistent workflow and reducing project duration through the learning rate effect. This effect shortens activity durations when the same crew repeats tasks. Consistent crew assignments for each activity are key to maximizing this benefit, as routing crews between activities can disrupt the learning rate momentum. However, crew routing can be cost-effective by lowering indirect costs. This study explores the balance between maintaining distinct crews for each activity and allowing crew routing. Results indicate that while specific crew assignments optimize duration, they require more crews. In contrast, routing reduces the number of crews but extends project duration. The study proposes a simulation approach to optimize crew numbers and movements. However, the study has limitations, as the simulation model must be customized for each specific project, and crew assignments must comply with the model’s requirements.</p>

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Simulation based scheduling of crew routing with learning and forgetting effects in repetitive projects

  • Tayseir Hegazy,
  • Khaled Hamdy,
  • Hatem El-Behairy,
  • Yasmeen A. S. Essawy

摘要

The Line of Balance (LOB) technique is essential for scheduling repetitive projects, offering benefits over the Critical Path Method (CPM) by ensuring consistent workflow and reducing project duration through the learning rate effect. This effect shortens activity durations when the same crew repeats tasks. Consistent crew assignments for each activity are key to maximizing this benefit, as routing crews between activities can disrupt the learning rate momentum. However, crew routing can be cost-effective by lowering indirect costs. This study explores the balance between maintaining distinct crews for each activity and allowing crew routing. Results indicate that while specific crew assignments optimize duration, they require more crews. In contrast, routing reduces the number of crews but extends project duration. The study proposes a simulation approach to optimize crew numbers and movements. However, the study has limitations, as the simulation model must be customized for each specific project, and crew assignments must comply with the model’s requirements.