Every company struggles to manage frequent, inevitable problems such as delays, resource allocation, and strategies intended for profitability and operational efficiency. The study utilized goal programming techniques, employing Matlab software, to solve manufacturing company problems. The objectives were to determine the daily quota for design 1, minimize processing hours in the coloring, packing, and sewing departments, and achieve the profit per piece of hat daily. The proposed approach for operations and profit improvements in the hat industry using multiple-goal programming aids in achieving the company’s present goals. The application of goal programming techniques is crucial in identifying solutions for department-specific goals in three operations and profit outcomes, ultimately benefiting the hat manufacturing company. The results demonstrate success through a 25% machine efficiency and a quota increase to 154, which is a 2% improvement over the existing method. These goals were achieved through data analysis, constraint formulation, and Matlab-based goal programming. To generate developing research and implement methodologies to address current issues observed in industries, future studies are recommended. Numerical analysis can be applied to study patterns and trends in the marketing world, helping define data from the target population, develop models that summarize insights, and incorporate these into strategies to improve company processes and eliminate overtime analysis.

Keywords

Operations Research, Multiple Goal Programming, Matlab Software, Hat Manufacturing, and Optimization