A Unified Linear Optimization Model for Dynamic Construction Site Layout Planning with Planned Disruptions

D. Morillo-Torres, J. Prias, L. Salcedo

This paper addresses the dynamic variant of the Construction Site Layout Planning Problem (CSLP) within a deterministic framework by incorporating planned disruptions and protection strategies into a unified optimization model; it assumes that disruptions, such as protests or scheduled disturbances, occur at known locations and times. Unlike bilevel models in the literature, this study proposes a novel, fully linear Mixed-Integer Linear Programming (MILP) model that integrates three key decision layers: facility placement, temporal relocation, and protection deployment, while directly embedding the deterministic disruption schedule into the formulation. Results indicate that this approach can serve as an effective decision-support tool for enhancing resilience and minimizing costs in construction sites exposed to planned external disruptions. Additionally, the model is easily adaptable to incorporate a scenario-based approach with stochastic disruptions.

Keywords: Construction site layout, mixed-integer linear programming, Planned disruptions, Dynamic facility layout

Integer and Combinatorial Optimization
September 2, 2026  5:40 PM
Aula 24

Á. García Muñoz, H. Hernández Pérez, J. J. Salazar González

C. Hernández Barrueco, A. Meca Martínez, J. L. Sainz-Pardo Auñón

C. Parreño-Torres, J. Romero-del-Hombrebueno

I. Rodríguez Acevedo, J. González Díaz, B. González Rodríguez, A. Barros González