用模糊认知图建模施工管理问题

Denise M. Case, T. Blackburn, C. Stylios
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引用次数: 5

摘要

本章讨论了模糊认知地图(FCM)建模在施工管理(CM)中的应用所面临的挑战和问题。它通过提供一个新的智能层来增强构造建模和管理的经典方法,重点关注管理CM中固有的复杂性和不确定性的关键问题。它研究了影响建筑项目可行性和绩效的无数类型的内部和外部因素如何使用模糊混合方法进行建模,该方法探索了许多促成因素之间的复杂关系,并评估和评估了它们对过去和未来项目的影响。本章提出了在成本、进度和风险管理的传统背景下的混合建模方法,并描述了如何在CM中增加和增强现有的最先进的工具和过程来帮助施工经理。本章提供了fcm理论的背景,介绍了基础和当前的研究,并解释了如何将这种方法应用于CM领域。本章还详细描述了如何开发、修改和使用交互式模型来解决具体的管理挑战和问题。它包括一个可定制的交互式基础模型,并演示了如何将该模型应用于特定的CM事件和问题。本文给出的例子突出了项目特定目标和特征之间的相互作用,以及它们影响成本、进度和风险这三个相互关联且经常相反的三元组的方式。所提出的例子和实际应用使这种最先进的方法对学术和行业从业者都很有用。
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Modelling Construction Management Problems with Fuzzy Cognitive Maps
Abstract This chapter discusses the application of fuzzy cognitive map (FCM) modelling to construction management (CM) challenges and problems. It focuses on the critical issue of managing the complexity and uncertainty inherent in CM by providing a new intelligent layer that enhances classical approaches to construction modelling and management. It investigates how the myriad types of internal and external factors affecting the feasibility and performance of construction projects can be modelled using a fuzzy hybrid method that explores the complex relationships among many contributing factors and assesses and evaluates their impacts on past and future projects. This chapter proposes a hybrid modelling approach in the traditional context of cost, schedule and risk management and describes how augmenting and enhancing existing state-of-the-art tools and processes in CM can assist construction managers. This chapter provides a background on the theory of FCMs, presents foundational and current research, and explains how to apply this approach in the CM domain. This chapter also provides a detailed description of how to develop, modify and employ interactive models to specific CM challenges and problems. It includes a customisable, interactive base model and demonstrates how the model has been applied to specific CM events and issues. Examples are presented that highlight the interplay between project-specific goals and characteristics and the way these impact the interrelated and often opposing triad of cost, schedule and risk. The presented examples and practical applications make this state-of-the-art approach useful to both academic and industry practitioners.
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