Traditional construction management methodologies often fail to address unforeseen challenges and uncertainties. This paper highlights that projects can exist in different states, often unidentified by project managers. These varying states necessitate different approaches, indicating that one-size-fits-all methods are insufficient. Using project data, entropy calculations, and simulations within a Design Science Research methodology, this paper offers indicators for evaluating project states and improving decision-making. The application of ChaosCompass to eight real-world projects showed higher entropy in projects exceeding budgets and schedules, indicating greater disorder and unpredictability. Conversely, projects on budget and schedule displayed more controlled progress. The findings reveal a significant correlation between high entropy and low forecast accuracy, underscoring entropy's critical role in project dynamics. This paper advocates an entropy-based approach to construction management, promising a more resilient and adaptable framework to address modern project complexities.

中文翻译：

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以熵为中心的框架，用于理解和管理建筑中的项目动态


传统的施工管理方法往往无法解决不可预见的挑战和不确定性。本文强调，项目可以存在于不同的状态中，项目经理通常无法识别。这些不同的状态需要不同的方法，这表明一刀切的方法是不够的。使用 Design Science Research 方法中的项目数据、熵计算和模拟，本文提供了评估项目状态和改进决策的指标。将 ChaosCompass 应用于 8 个实际项目后，超出预算和进度的项目熵更高，这表明存在更大的无序性和不可预测性。相反，符合预算和进度的项目显示出更受控的进度。研究结果揭示了高熵和低预测精度之间的显著相关性，强调了熵在项目动力学中的关键作用。本文提倡一种基于熵的施工管理方法，有望建立一个更具弹性和适应性的框架来解决现代项目的复杂性。