Repetitive scheduling (RS) using conventional methods suffers from many drawbacks due to forced resource continuity assumptions that increase time and cost. Moreover, it leads to an increased work-in-progress (WIP) inventory of units as a result of the unit's idle time between successive activities. Interruption-based RS techniques were introduced to reduce project duration, however, they didn't address WIP inventory and its repercussions. Accordingly, this research developed a new lean-driven Pull-Batch-based Repetitive Scheduling (PBRS) technique that utilizes batch- and pull-production lean concepts to reduce WIP, time, and cost. It has a built-in multi-objective optimization algorithm to determine the optimum number of batches and crews that minimizes time and cost considering the counter impact of resource and unit idleness. A real case study was used to evaluate the performance of the new PBRS technique against the existing ones. The results demonstrated the PBRS superiority and the optimization model's capability to generate optimum schedules.

由于强迫的资源连续性假设增加了时间和成本，因此使用常规方法的重复调度（RS）遭受许多缺点。此外，由于单元在连续活动之间的空闲时间，导致单元的在制品（WIP）库存增加。引入了基于中断的RS技术来减少项目工期，但是，它们并未解决WIP库存及其影响。因此，本研究开发了一种新的精益驱动的基于拉式批量的重复计划（PBRS）技术，该技术利用批量生产和拉式生产精益概念来减​​少WIP，时间和成本。它具有一个内置的多目标优化算法，可以确定最佳的批次和人员数量，并考虑到资源和单位闲置的负面影响，从而将时间和成本降至最低。实际案例研究用于评估新的PBRS技术相对于现有技术的性能。结果证明了PBRS的优越性和优化模型生成最佳计划的能力。