A Study on Application of Linear Programming on Product Mix for Profit Maximization and Cost Optimization

Objectives: This research aims to sneak into the retailer\'s perception about that customer segment and plan a product mix accordingly. The focus is on small players in towns not having deep pockets synergize decisions effectively. Methods: data used this paper from Hatchers, medium-sized enterprise with zero budget for software decisions. was collected through face-to-face interviews ten representatives five supervisors compliance existing documents datasheet obtained production department, which slightly updated make final output. one season, i.e., April March. analyzed study pre-Linear Programming post-Linear Programing profits. Findings: examination distinguishes current asset usage level benefit of every period apparel producing organizations, utilizing linear programming procedure. Actual consumption resources (product wise) calculated evaluate profit post applying Linear see wastage cost. There 54% increase LP compared product-wise resource utilization. Similarly, using more than double as costing were minimum, revenue high. Novelty: article focused simple basic principle identifying Excel(Solver). LINGO. solutions become costlier firms, whereas Excel accessible cost-efficient. gap literature previous has aspect business houses where adapting challenging. Keywords: Programming, Profit maximization, Product Mix, Production, cost optimization