Abstract

Information flow exchange within highly distributed, co-located, self-organising and networked projects is critical for successful planning, and ultimately, for successful infrastructure project delivery. While conventional project scheduling methods are still widely used as project support tools, most lack capacity for harnessing and exploiting both direct and indirect forms of information flow interdependency between activities in these project types. The present study sets out to develop and present a practical method for modelling and analysing information flow interdependencies in infrastructure projects. We propose and apply a five-stage approach, using an integrated form of Network Analysis augmented with fuzzy Cross-impact Matrix Multiplication Analysis. The findings classify project activities based on their dependency levels with other directly and indirectly related project activities. The novel contribution to project management practice is that key information flow interdependencies can thus be identified and then more effectively harnessed due to an enhanced ability to interpret the information with a clearer understanding of originating communication context.

摘要

高度分布式、协同定位、自组织和网络项目中的信息流交换对于成功规划以及最终成功交付基础设施项目至关重要。虽然传统的项目调度方法仍然广泛用作项目支持工具，但大多数缺乏利用和利用这些项目类型活动之间直接和间接形式的信息流相互依赖的能力。本研究旨在开发和提出一种实用方法，用于对基础设施项目中的信息流相互依赖性进行建模和分析。我们提出并应用了一种五阶段的方法，使用一种综合形式的网络分析，并增加了模糊交叉影响矩阵乘法分析。调查结果根据项目活动与其他直接和间接相关项目活动的依赖程度对项目活动进行分类。对项目管理实践的新贡献在于，关键信息流的相互依赖关系可以被识别，然后由于增强了解释信息的能力，更清楚地了解原始通信上下文，因此可以更有效地利用。