Planification intégrée multi-phases et multi-projets en construction modulaire hors site

Abstract

This thesis focuses on the development of an integrated planning approach for off-site modular construction, combining factory production, transportation, and on-site assembly. It aims to overcome the fragmentation of these phases, which are generally planned separately despite their strong interdependencies. First, a bi-objective mixed-integer linear programming (MILP) model is developed to minimize the total cost and project duration. The model considers multiple simultaneous projects, shared production and transportation resources, different assembly modes, and the associated capacity constraints. The ε-constraint method is used to determine the trade offs between cost and duration. Second, a hybrid metaheuristic combining a genetic algorithm (GA) and a Serial Schedule Generation Scheme (SSGS) is developed to address large-scale instances. It achieves gaps of 8.2% in cost and 2.1% in makespan compared with the optimal solutions, while reducing computation time by 96% to 99.6%. The numerical experiments show that integrated production–transportation–assembly planning reduces total cost by 49.8% and makespan by 27.7%, depending on the objective considered. Multi-project integration also reduces the overall project completion time by 31% and transportation costs by 20%. A case study involving four simultaneous projects, representing a total demand of 538 finished products and based on data from a company specializing in the manufacturing of architectural guardrail systems, confirms the applicability of the proposed approach in a real industrial context. Overall, the results demonstrate the value of integrated planning in improving operational coordination and supporting decision-making in modular construction.

Date	30 Sept 2026
Original language	French
Awarding Institution	École de technologie supérieure
Supervisor	Amin Chaabane (Supervisor) & Rim Larbi (Co-supervisor)