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Prediction of Spacecraft Project Duration: Adaptation of Markoff Chain Analysis

机译:航天器项目工期的预测:标记链分析的改编

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摘要

In research and development projects like spacecraft projects, many activities bear uncertainty on its progress and completion, chance of rework and going back to previous stages of the project. In predicting the time of completion, the progress and the total duration of such projects, existing project duration prediction models do not come closer to reality. These models, due to the limitation imposed by assumptions underlying such models, can not account for the rework occurs in projects and/ or going back of the project activities to its earlier stages. In this paper, using the stochastic ability (through transition probability matrix) of Markoff chain analysis, a model is adapted for predicting spacecraft project duration. The model has been partially validated using actual data from one of the INSAT-3 missions. The results are compared with the results generated on the same data using prevailing major models. The application of Markoff model shows significant improvement over the existing models. Further, the managerial implications of the application of this model, specifically from project control point of view also has been touched upon.
机译:在诸如航天器项目之类的研发项目中,许多活动对其进度和完成情况,返工的机会以及项目的前期阶段都有不确定性。在预测此类项目的完成时间,进度和总工期时,现有的项目工期预测模型并没有更接近实际。由于这些模型所基于的假设所施加的限制,这些模型无法解释项目中发生的返工和/或项目活动回到其早期阶段。在本文中,利用Markoff链分析的随机能力(通过过渡概率矩阵),建立了适用于预测航天器项目工期的模型。该模型已使用INSAT-3任务之一的实际数据进行了部分验证。将结果与使用主流模型在相同数据上生成的结果进行比较。 Markoff模型的应用显示出对现有模型的显着改进。此外,还涉及了此模型的应用程序的管理意义,特别是从项目控制的角度。

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