Optimization Model in Transportation Based on Linear Programming

Angellyca Leoni Manuela, Reivani Putri Berlinda Harahap, Tina Yoefitri, Nicko Meizani, Rizki Apriva Hidayana

Abstract


This study discusses the development of optimization models in transportation costs and routes and resource distribution based on Linear programming using various methods. This study aims to improve logistics efficiency, maximize the utilization of transportation equipment, infrastructure, operations management, and minimize transportation costs. The methods used include data collection, data processing, and the application of mathematical models to determine the optimal route with iteration methods such as the Simplex Method or Simplex Algorithm (SIMPLEKS), Modified Distribution Method (MODI), Vogel's Approximation Method (VAM), North-West Corner Method, Least Cost Method, and Initial Cost Minimum Method (ICMM). This study successfully shows that this method is able to reduce the cost of reducing carbon emissions, significantly reduce shipping costs and increase the efficiency of goods distribution that can be applied to complex distribution systems, support efficiency, and sustainability of transportation management. Using Linear programming and transportation methods to reduce SME costs and produce more efficient costs and fast solutions. In general,optimizationThis supports economic development, efficiency and sustainability of transportation management.

Keywords


Optimization, Linear Programming, Transportation

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References


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DOI: https://doi.org/10.46336/ijqrm.v6i2.1018

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Copyright (c) 2025 Angellyca Leoni Manuela, Reivani Putri Berlinda Harahap, Tina Yoefitri, Nicko Meizani, Rizki Apriva Hidayana

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IJQRM: Jalan Riung Ampuh No. 3, Riung Bandung, Kota Bandung 40295, Jawa Barat, Indonesia

 

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