ICSEJOURNALICSEJOURNAL

Journal of Computer Science and Engineering (JCSE)Journal of Computer Science and Engineering (JCSE)

Transportation is one of the important driving factors that significantly affects the supply chain. One company in OKU Regency that produces crude palm oil encounters transportation problems, particularly during the rainy season due to inadequate road infrastructure and a lack of transportation modes. Delivery of crude palm oil amounting to 90% of total production was carried out from PT.X to the company that produces cooking oil. The delivery of crude palm oil to PT.Y arrived later than originally scheduled. Linear programming methods can be used to describe mathematical formulations with the objective to solve PT.X transportation problems. From the stages of collecting, processing data and testing formulations using the LINDO application, it was discovered that under ideal conditions there are 9 alternative transportation routes from origin city B to destination city TJ with the shortest time of 9 hours, the delivery of transportation mode uses 12 tanks which 9.5 tons capacity and 17 tanks which 8 tons capacity and the lowest transportation costs are Rp. 487.580. The results of the general mathematical formulation can then be used to solve transportation problems for other cases with similar conditions to PT.X. This mathematical formulation can be used for making decisions in selecting transportation routes, selecting modes and transportation costs. Changes in production factors such as capacity, number of orders, travel time, delivery distance, fuel prices, toll rates can change the decisions taken by entering their actual values in the general mathematical formulation that has been produced.

This research successfully identified the optimal transportation routes and modes for Crude Palm Oil (CPO) delivery at PT.Specifically, the study found that nine alternative routes exist from city B to city TJ, with the shortest route taking 9 hours.Furthermore, the ideal transportation setup involves utilizing 12 tank trucks with a 9.5-ton capacity and 17 tank trucks with an 8-ton capacity, resulting in the lowest transportation costs of Rp.These findings provide a practical solution for PT.X to improve its CPO delivery efficiency and can be adapted by other companies facing similar logistical challenges.

Based on the findings of this study, future research could explore the integration of real-time weather data into the linear programming model to dynamically adjust transportation routes and modes during the rainy season, potentially minimizing delays and costs. Furthermore, investigating the feasibility of utilizing intermodal transportation, combining road and rail transport, could offer a more sustainable and cost-effective solution for long-distance CPO delivery. Finally, a comprehensive analysis of the environmental impact of different transportation options, including carbon emissions, would be valuable in promoting environmentally responsible supply chain practices within the palm oil industry, contributing to a more sustainable and resilient CPO supply chain in the region. These research directions will help to refine the optimization process and address the dynamic challenges faced by CPO producers.

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