Research Information System
24th International Symposium for Production Research, ISPR 2024, Budva, Montenegro, 10 - 12 October 2024, pp.491-503, (Full Text)
The production of paint involves a series of complex steps, including the mixing of raw materials, formulation, processing, and packaging. To accommodate varying product demands and production volumes, the production line undergoes dynamic adjustments, supported by rigorous quality control measures. This project focuses on optimizing the material supply process within the paint industry to reduce production disruptions. By employing a (Q, R) inventory model and a milk-run logistics approach, the solution aims to enhance production continuity and resource efficiency. The inventory management system, incorporating a (Q, R) replenishment policy, is designed to minimize daily restocking quantities while accounting for storage capacity constraints. Optimization is performed using the OptQuest tool within Arena software. Additionally, the replenishment strategy for Floor Stock Storage Areas (FSSA) is improved through the milk-run logistics model, supported by a decision support system to aid workers in real-time decision-making.