A fuzzy multi-objective approach to sustainable manufacturing optimization in a shoe factory in Thailand

This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model to optimize sustainable manufacturing in a Thai shoe factory. By incorporating fuzzy parameters for demand, the model addresses real-world uncertainty in customer needs while minimizing carbon emissions as a key environmental objective. Labor is treated as a crisp parameter, reflecting fixed availability assumptions. Scenarios with and without solar cell implementation are evaluated to assess the impact of renewable energy. Results indicate that solar adoption can significantly reduce carbon emissions without compromising economic or social outcomes. The proposed model provides a practical framework for optimizing sustainable manufacturing and aligns with global sustainability goals.