PENENTUAN KEBIJAKAN INVENTORI NONKOMPONEN BERDISTRIBUSI NORMAL, UNIFORM, DAN EKSPONENSIAL DI PT X DENGAN PENDEKATAN MODEL CONTINUOUS & PERIODIC REVIEW

• Main Author: Amilia Tabina, Nisa
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/84087
• Institution: Institut Teknologi Bandung

PT X is a joint venture company between PT Y and PT Z engaged in the production of motorcycles in Indonesia. PT X has five manufacturing facilities, one of which is located in Cibitung. At the Cibitung plant, materials are divided into two categories, namely Components and Noncomponents. Components are the constituent parts of the motorcycle unit, while Noncomponents are supporting materials that are not directly integrated with the motorcycle unit. The Cibitung plant faces challenges related to the high cost of storage and shortage costs in Noncomponent material inventory management. This study aims to determine an inventory policy that can minimize the total inventory cost of Noncomponents. The first step is to classify the goods using the FSN method. Next, normal, uniform, exponential, and poisson distribution tests are carried out for data with fast moving and slow moving categories. The analysis results show that the normal distribution dominates at 68.14%, followed by the poisson distribution at 14.18%, uniform at 12.89%, and exponential at 4.79%. However, only the normal, uniform, and exponential distributions are analyzed further because the demand in the poisson distribution only contributes 0.54% of the total Noncomponent inventory cost. Based on these three distributions, four reference models for inventory policy are applied, namely continuous Q backorder and periodic P backorder models for the normal distribution, as well as continuous (Q,r) adjustments for the uniform and exponential distributions. This research successfully minimized the inventory cost for all three types of distributions. The Q backorder model produces better performance than the P backorder model for normal distribution. The Q backorder model succeeded in reducing the total cost by 2.28% or Rp5,380,278,508 with an increase in service level of 4.56%. The (Q,r) uniform model reduces the total cost by 14.56% or Rp1,172,187,619 with an increase in service level of 6.74%. The exponential (Q,r) model reduces the total cost by 2.56% or Rp226,089,247 with an increase in service level of 2.43%.