Optimal Production Flow in Industrial Paint Manufacturing Simulation Optimization with Milk-Run and Periodic (Q R) Inventory Modelling

Abstract

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. © 2025 Elsevier B.V. All rights reserved.