通过概率简化方法进行工程师对订单项目进度计划:一个案例研究

S. Salvatori, Vito Introna, V. Cesarotti, I. Baffo
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引用次数: 0

摘要

对于采用“工程师到订单”方法管理业务的公司来说,进度管理是一项特别重要的活动。在许多情况下,特别是在较小的企业中,应用确定性方法或甚至参考自己的经验进行估算的项目持续时间是非常不准确或高估的。由于这些原因,在这篇论文中,这是以前在暑期学校提出的工作的扩展版本。,作者在一个案例研究中提出了概率简化方法的应用,将结果与确定性方法和实际持续时间得出的结果进行比较。方法的应用是根据项目管理协会定义的顺序。为了估计活动持续时间,使用了物理模型和统计模型,而不是通过关键路径方法计算整个项目持续时间。结果比较表明,采用统计学方法可导致可容忍的并发症,但可以得到更准确的估计。此外,考虑最可能、最乐观和最悲观持续时间的可能性,使企业能够考虑到可能延迟项目完成的潜在风险。此应用程序侧重于特定的案例研究,但结论可能是许多其他组织的共同之处。
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Engineer-to-order Project Schedule Planning through a probabilistic simplified approach: a case study
Schedule management is a particularly important activity for companies that manage their business with an engineer-to-order approach. In many cases, especially in smaller enterprises, projects duration, estimated applying deterministic approaches or even referring to own experiences, are significantly inaccurate or overestimated. For these reasons, in this paper which is the extended version of a previous work presented at the Summer School “F. Turco”, authors propose an application of a probabilistic simplified approach on a case study comparing the results to those deriving from deterministic approaches and actual durations. Methodologies have been applied according to the sequence defined by Project Management Institute. To estimate activities durations both physical and statistical models have been used, instead entire projects duration has been calculated through critical path method. Results comparison shows that adopting a statistical approach leads to tolerable complications but allows to get more accurate estimations. Moreover, the possibility to consider most probable, optimistic and pessimistic duration allows enterprise to take into account potential risks that could delay project conclusion. This application is focused on a particular case study nevertheless conclusion could be common to many other organizations.
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