Analysis of the Goods Supply Distribution at CV. AMB

Abstract

Goods distribution is one of the critical aspects of supply chain management that directly affects a company’s operational efficiency. Optimal delivery efficiency can reduce logistics costs and improve customer service levels. CV. AMB, as a company engaged in electronic goods distribution, faces challenges in determining efficient and effective delivery routes. Irregularities in route planning can lead to increased costs and delivery time. The use of optimization algorithms, such as Dijkstra’s Algorithm, has been proven to assist companies in determining the shortest and fastest routes. Therefore, this study aims to analyze and optimize the distribution routes of CV. AMB in order to improve delivery efficiency. This study utilizes primary and secondary data. The primary data consist of interview survey results with the management of CV. AMB regarding the existing conditions of goods supply distribution from the central warehouse to all retail outlets, as well as distance data between outlets and the distribution warehouse obtained using Google Maps/Earth. The secondary data include road network data in the Province of Bali. The results of this study indicate that Dijkstra’s Algorithm is able to improve delivery efficiency by identifying the shortest route with a distance of 41.6 km and the fastest travel time of 124 minutes. In addition, the alternative routes obtained are capable of reducing travel costs in terms of fuel consumption by 26.923% compared to the previous costs.