DETERMINING INVENTORY POLICY OF RAW MATERIAL WITH ADAPTIVE KANBAN SYSTEM APPROACH AT PT TOYOTA ASTRA MOTOR USING MONTE CARLO SIMULATION

• Main Author: Widiyanti, Nelly
• Format: Final Project
• Language: Indonesia
• Subjects: Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
• Online Access: https://digilib.itb.ac.id/gdl/view/79597
• Institution: Institut Teknologi Bandung

PT Toyota Astra Motor (TAM) is one of the companies that played a role in the development of the national automotive industry to achieve its target as a world automotive production base country. The company was engaged in the marketing of high-quality products and services for Toyota brand vehicles. Furthermore, the company was engaged in the field of installing accessories and parts on Toyota brand vehicles. To deal with demand uncertainty, PT TAM needed to manage material inventory policies to support the production process effectively and efficiently. Currently, the performance of the raw material inventory system did not work satisfactorily. Based on historical data for 2019, the use of dedicated materials had not been effective, so it effects on the high accumulation of material. It was based on the stock ratio of 3.65 that not yet achieved the target. The high accumulation of material is a result of the rotation of kanban that still applied the Traditional Kanban System (TKS). The concept of the system will be optimal if it applies to stable and smooth environmental conditions (Shahabudeen & Sivakumar, 2008). Thus, in Shahabudeen & Sivakumar (2008), it was discussed updating the kanban concept by varying the use of the number of kanbans. It known as the Adaptive Kanban System (AKS). The concept played its role in the supplier kanban ordering flow based on actual inventory and backorder level. The concept design of the Adaptive Kanban System (AKS) was built using a Monte Carlo simulation. The Monte Carlo simulation would look for a combination of decision variable values that produced the lowest stock ratio by considering the backorder limit that may appear. The proposed inventory policy with the AKS concept made the average stock ratio per month for 85 research materials decreased by 21,73% from the actual.