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All Journal Exhibition and Seminar on Science and Creative Technology – Al Azhar Proceeding
Hukhama, Abid Muhadzdzib
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Production Scheduling Strategy for Sports Shoes and Casual Shoes Using Linear Programming to Maximize Profit Hukhama, Abid Muhadzdzib
EXSACT-A Vol 3, No 1 (2025)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v3i1.3825

Abstract

In the business world, especially the trade sector, efficiency in production planning is the main key in increasing profits. One of the challenges that is often faced is how to determine the optimal amount of production so that maximum profits can be obtained without exceeding the capacity of available resources. If production is not planned well, businesses can experience an imbalance between demand and production capacity, potentially causing operational inefficiencies and lost profit opportunities. Therefore, a systematic approach is needed to determine the most optimal production strategy. This research applies the Linear Programming (LP) method to develop a mathematical model for optimizing the production scheduling of sports shoes and casual shoes. The main objective of this model is to maximize company profits by considering the limited production time on the two main machines used. The decision variable in this model is the number of sports shoes (X₁) and casual shoes (X₂) that must be produced. The objective function used is Zmax = 30,000X₁ + 25,000X₂, with production time capacity limits for Machine A and Machine B of 40 hours and 50 hours per week respectively. The results of the model formulation show that the Linear Programming method is able to provide optimal solutions in determining the amount of production that produces maximum profits. By implementing this model, companies can allocate resources more efficiently, so that operations become more effective and profits can be optimized.
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