MIXED-INTEGER LINEAR PROGRAMMING MODEL FOR PRODUCTION PLANNING AND LABOR ALLOCATION IN THE MELON FARM

Abstract

This research investigates the optimization of the melon supply chain, aiming to minimize production costs through the development of a mixed-integer linear programming (MILP) model. The framework addresses key inefficiencies in current practices, such as suboptimal cultivation scheduling, inefficient labor allocation, and excessive reliance on outsourced workers, by integrating critical decision variables, including planting schedules, harvesting timelines, and workforce planning. The proposed model enables systematic and data-driven management of greenhouse farming operations. Computational experiments using Premium Solver V2023 demonstrate the model’s practical effectiveness, achieving a total production cost of 134,400 THB, which represents a 10.16% reduction compared to manual planning, while maintaining production efficiency. These results highlight the potential of mathematical optimization in supporting sustainable agricultural practices and enhancing decision-making processes. Ultimately, the framework functions as a valuable decision-support tool for both farmers and agribusiness managers in optimizing resource allocation and production.