Improvisation in Construction Planning: An Agent-Based Simulation Approach

Abstract

Improvisation is the decision-making process addressing unexpected obstacles in a spontaneous but rational manner. Although undesirable, as it indicates deviation from plans, improvisation is unavoidable in construction to address issues related to unforeseen uncertainties. An adaptive planning system employing improvisation to react rapidly to unplanned events may therefore boost the performance in construction projects. Accordingly, this research aims to predict the outcomes of construction planning processes from an improvisational perspective by better understanding the dynamics of improvisation. It seeks to identify how different variations of improvisational parameters influence the improvisational outcome. This objective is achieved through an agent-based model used to simulate the improvisation practices at the level of planners interacting together. Parameters relating to planners, projects, and problems influencing each planner’s improvisational means are illustrated in the model. The model’s inputs were validated through data from large-sized projects. Linear regression models that predict the results of the improvisational practices were then developed through simulation experiments. Findings regarding the impacts of different types of improvisors on the improvisational outcomes are presented. The contribution of this study lies in enhancing the overall improvisational performance in construction planning to ultimately guide decision makers and planners to better handle uncertainties in projects.