Nowadays, in the competitive world of marketing and globalization, optimizing the budgetary planning process is an essential criterion that is considered by industries in order to produce high quality products while maximizing the profit. The role of mathematical modeling is significant for examining the decision-making process to obtain an optimal alternative possible solution to a particular problem in the production planning process. Among the major production planning process problems is to maximize the profit while producing products with minimum cost. In this paper, two formulations of linear programming (LP) and weighted goal programming (WGP) models are developed to examine and optimize the profit of LANA Company for Food Ltd. The proposed models are developed through the use of LINGO software and based on the realistic data collected from the aforementioned industry. The sensitivity test analysis was conducted for both models and the resultant is then compared with the actual profit of the industry. Throughout the results, the WGP produced the highest profit followed by the LP. Finally, analysis of variance (ANOVA) comparison test was done with the models with respect to the actual profit obtained from LANA industry for 10 months of year 2015.
