A methodology for the present acumen of knowledge on theory of optimisation for projects

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Abstract

Knowledge of the critical path and the degree of criticality and sensitivity of the task time is a specific problem requiring further research. Until now, there is no specific procedure to resolve resource contentions and general optimisation method due to its complexity (Herroelen, 2001) & (Penga & Huangb, 2013). The major result the author presents is a revision of the critical chain project scheduling process model by Tukel et al. (2006). The proposed TOP methodology presented, integrates different heterogeneous scenarios data sources to reduce the risk of the expected project time. The main contributions that the proposed TOP methodology can provide to the nuclear arena are the following: (1) delays are less likely when using the Criticality Index concept for selection of the critical chain using Monte-Carlo to manage highly uncertain tasks. The methodology will provide a unique, integrated and placid source of information, (2) complete view of heterogeneous critical task activities based on the array of information for validating the time sensitivity of tasks on the expected project time by correlation. The correlations display the degree of linear relationship between the task time and expected project time, (3) accurate information for project managers to make decisions. Using the TOP the nuclear area will be able to distinguish between the time sensitivity or insensitivity relationship between the task time and expected project time by Pearson product-moment, Spearman’s rank and Kendall’s tau rank that are not easily available with a simple system, and (4) ability to validate the time sensitivity of the task time on the expected project time by correlation using 50% sizing rule for time sensitivity dimension.
一种方法,为目前的知识的敏锐性的理论优化项目
关键路径的知识以及任务时间的临界程度和灵敏度是一个需要进一步研究的具体问题。到目前为止,由于其复杂性,没有具体的程序来解决资源竞争和一般的优化方法(Herroelen, 2001)和(Penga & Huangb, 2013)。作者提出的主要成果是Tukel等人(2006)对关键链项目调度过程模型的修正。提出的TOP方法集成了不同的异构场景数据源,以降低预期项目时间的风险。提出的TOP方法可以为核领域提供的主要贡献如下:(1)当使用临界指数概念选择关键链时,使用蒙特卡罗管理高度不确定的任务时,延迟的可能性较小。该方法将提供一个独特的、集成的和平静的信息源,(2)基于一系列信息的异构关键任务活动的完整视图,通过相关性来验证任务在预期项目时间上的时间敏感性。相关性显示了任务时间与项目预期时间之间的线性关系程度,(3)为项目经理决策提供了准确的信息。使用TOP,核区域将能够通过皮尔逊积矩、斯皮尔曼秩和肯德尔秩来区分任务时间与预期项目时间之间的时间敏感或不敏感关系,这些关系在简单的系统中是不容易获得的,并且(4)能够通过使用时间敏感性维度的50%大小规则的相关性来验证任务时间对预期项目时间的时间敏感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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