Resource-constrained project scheduling problem (RCPSP) has been one of the most important topics in project scheduling in recent decades. RCPSP, due to the strategic importance of the projects and internal and external pressures for timely completion, is a very challenging task. When executing a project, controlling and monitoring it also becomes vital. This paper aims to present a new soft computing framework that incorporates decision making about RCPSP parameters, RCPSP modeling, adding project and activities buffer, and monitoring the project. In the decision-making procedure, the activities durations are interval, but resource requirements are real numbers. So, the decision-making problem needs a hybrid procedure. To overcome this matter, the hybrid projection measure is extended to obtain the experts weights and build the aggregated decision matrix. In the RCPSP section, the activities durations are not determined and vary between certain ranges. The resource requirements and range of activities durations are obtained from group decision-making method. In addition, this model is solved with simulated annealing (SA) algorithm. In the third step, buffers are considered in a way that allocating project buffer to activities’ buffers becomes based on a new normalized important factor. The normalized important factor is introduced by considering activity duration and resource requirements. Finally, a novel controlling procedure is extended by activity buffer monitoring. Two buffer threshold sets and violations are applied, and each one of them sends a particular alarm to the project manager. Project manager’s decisions in optimistic and pessimistic situations are discussed. Ultimately, the method is solved in a real case study, and the results are discussed. The application shows that the presented method is flexible in many situations. It also increases the probability of timely completion of the project in addition to tracking the deviations from the plan. The proposed method introduces a comprehensive framework, so it gives project managers a better vision. It can also act as an ideal monitoring tool to control schedule deviations and to help project manager for proper actions during the project execution.

资源受限的项目计划问题（RCPSP）在最近几十年中一直是项目计划中最重要的主题之一。由于项目的战略重要性以及及时完成的​​内外部压力，RCPSP是一项非常具有挑战性的任务。在执行项目时，控制和监视它也至关重要。本文旨在提出一个新的软计算框架，该框架融合了有关RCPSP参数的决策，RCPSP建模，添加项目和活动缓冲区以及监视项目。在决策过程中，活动持续时间是间隔时间，但是资源需求是实数。因此，决策问题需要一个混合过程。为了解决这个问题，扩展了混合投影测度以获得专家权重并建立汇总决策矩阵。在RCPSP部分中，活动持续时间不确定，并且在某些范围内有所不同。资源需求和活动持续时间的范围是从小组决策方法获得的。此外，该模型还通过模拟退火（SA）算法求解。在第三步中，考虑缓冲区的方式是基于活动的新缓冲区将项目缓冲区分配给活动的缓冲区。通过考虑活动持续时间和资源需求来引入标准化的重要因素。最后，通过活动缓冲区监视扩展了一种新颖的控制过程。应用了两个缓冲区阈值集和违例，他们每个人都会向项目经理发送特定的警报。讨论了项目经理在乐观和悲观情况下的决策。最终，该方法在实际案例中得以解决，并讨论了结果。该应用表明，所提出的方法在许多情况下都是灵活的。除了跟踪与计划的偏差之外，它还增加了及时完成项目的可能性。所提出的方法引入了一个全面的框架，因此为项目经理提供了更好的视野。它也可以作为理想的监视工具来控制进度偏差并帮助项目经理在项目执行期间采取适当的措施。并讨论结果。该应用表明，所提出的方法在许多情况下都是灵活的。除了跟踪与计划的偏差之外，它还增加了及时完成项目的可能性。所提出的方法引入了一个全面的框架，因此为项目经理提供了更好的视野。它也可以作为理想的监视工具来控制进度偏差并帮助项目经理在项目执行期间采取适当的措施。并讨论结果。该应用表明，所提出的方法在许多情况下都是灵活的。除了跟踪与计划的偏差之外，它还增加了及时完成项目的可能性。所提出的方法引入了一个全面的框架，因此为项目经理提供了更好的视野。它也可以作为理想的监视工具来控制进度偏差并帮助项目经理在项目执行期间采取适当的措施。