The production of shoes is a worldwide industry that includes a wide variety of ranges, from traditional methods to advanced automation used by modern companies; these industries use approaches such as Goal Programming to streamline the production methods in order to effectively manage the company’s goals. The primary focus of this study is to improve production operations at Shoe Manufacturing Company using goal programming, with the goal of increasing operational efficiency that stays competitive in the market. The research aims to enhance the company's manufacturing processes, recognize operational constraints, and suggest solutions that maximize the use of machinery and materials for ineffective production. This study performs a comprehensive analysis aimed at enhancing operational procedures, encompassing space constraints, staffing, workflow order, and disorganized materials, this study tackles the analysis evaluation in the production manufacturing company, selectively is the use of optimization using goal programming which provide beneficial and significant changes in developing the shoe manufacturing company. Through the use of goal programming model application and Matlab Simulation, the Company's shoe production improved efficiency through a revised workflow, saving 75.45 seconds per cycle. This adjustment increased production from 36 to 40 shoe components (18 to 20 pairs), emphasizing enhanced operational efficiency and quality. It proves that the study utilized the use of optimization to achieve the significant result in optimizing the processes, These improvements are projected to favorably impact both the quality and quantity of manufactured shoes. Furthermore, this study suggests using other approaches such as Multiple Goal Programming, Queuing Theory, and Linear programming to give a fair approach to the competitive market; this approach lies in its ability to integrate external factors, thereby improving the effectiveness and practical implementation of the solution put forth in this study.