Enhancing inbound logistics in the tuna canning industry through simulation: A case analysis

Abstract

This research proposes an enhancement strategy for inbound logistics planning in the canned tuna industry, focusing on raw material transportation. Currently, the company experiences a 164-day shortfall (67% of total receiving days) in planned versus received raw materials. Using eight trucks, the company achieves an average of 16 daily cycles with a truck utility of 45.58%. Notably, the average pre-dumping fish temperature is -17.19°C, and delivery time is 7.2021 hours. Through simulation analysis, four problem-solving strategies are proposed. One scenario suggests reducing the fleet from eight to six trucks, increasing truck usage utility to 57.91% and reducing driver hiring costs by 25% to 1,440,000 baht per year. Furthermore, delivery time improves by 20.06% to 5.7574 hours. This research offers a strategic approach to optimize inbound logistics, improving efficiency and reducing costs.

Keywords

• inbound logistics management
• tuna canned industry
• simulation