OPTIMIZATION OF THE CONCRETE MIXER MANUFACTURING PROCESS: AN INTEGRATED APPROACH COMBINING MATHEMATICAL MODELING AND CONTEXT-APPROPRIATE TECHNICAL SOLUTIONS FOR BURKINA FASO

This study investigates the optimization of the concrete mixer manufacturing system at Congo Services Sarl, an industrial company operating in Burkina Faso. An in-depth analysis of the production process identified several critical bottlenecks constraining manufacturing capacity and operational efficiency. To address these limitations, an integrated engineering framework was developed, combining several complementary technical solutions. The proposed improvements were formulated using a Mixed-Integer Linear Programming (MILP) optimization model, which establishes a quantitative relationship between investment decisions and key industrial performance metrics. In addition, a Monte Carlo simulation approach was employed to perform stochastic validation and assess the robustness of the proposed solution under production uncertainties. The simulation results indicate that the full optimization scenario can increase monthly output by 87%, reduce cycle time by 36%, and improve the quality conformity rate from 82% to 98%. Economic evaluation further reveals a payback period of 2.5 months, highlighting the strong financial feasibility of the project. The findings demonstrate that context-specific and targeted industrial optimization can generate significant productivity gains while reinforcing local industrial autonomy and improving firm-level competitiveness.