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Original research ENHANCING PROFITABILITY AND PRODUCT MIX OPTIMIZATION THROUGH LINEAR PROGRAMMING PROBLEM: A CASE STUDY ON THE INDIAN GARMENT INDUSTRYPages 285-294
Siddharth Ghuge, Tanishaa Gupta, Harsh Sharma, Purvi Shetty,
Abstract
The present research work investigates the application of Linear Programming Problem (LPP) to generate profits while efficiently managing resources such as raw materials, machinery, labor, transportation, and processing time. The research focuses on Sunshel Textiles India Pvt Ltd., a garment industry situated in Gujarat, India. This company was chosen because of its diversified product range, which requires important management decisions in determining the quantity of products to be produced and sold. The study sampled seven products: suits, blazers, trousers, shirts, half t-shirts, shorts, full-sleeve t-shirts. The data used for the analysis is taken from company records. A LPP model has been formulated to improve the company’s operations and the optimal results are being calculated using solver add-in in Microsoft Excel 2019. Analysis of the collected data indicates that Sunshel Textiles Industry has the potential to gain extra 5.5% profit by incorporating the optimized model in their managerial decisions.
Keywords: garment industry, linear programming problem, resource utilization, optimal solution.
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Debasmita Mukherjee 
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