Mathematical Models for Minimize Transportation Cost Problem: A Case Study of Different Weight Load
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Abstract
This research aims to present a mathematical model for transportation routing problems to reduce the total costs of transportation. It considers transportation costs, including fuel consumption per distance, the cost of compressing the weight of the products transported, the cost of loading goods, and driver wages. The two trucks have different fuel rates and loading capacity. This problem will arrange transportation routes from the factory to nine customers with the different customers' daily demands. The mathematical model was designed based on the actual transportation conditions of the case study. For example, every customer needs to get their goods on demand and trucks must never exceed their maximum carrying capacity. Five sets of problems were used to test the solution. The result from Lingo 13.0 indicates that the proposed mathematical model is non-linear integer programming. Compared to the case study, which was previously involved in transportation the solution is accurate and effectively solves the problem. It can save 9.61 percent on transportation costs, or 90,803.80 baht annually. In comparison to the previous study, it was revealed that the case study company was able to reduce costs by 9.79 percent, or 92,698.893 baht annually.
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Articles published in Journal of Industrial Technology Ubon Ratchathani Rajabhat University both hard copy and electronically are belonged to the Journal.
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