| dc.description.abstract | CV 95 is a company engaged in the field of building materials. One of the stored
materials is meranti wood eith dimensions of 2 x 2 x 16 feet. In the inventory of
wood products, there are several contrains, namely inadequate warehouse capacity
and limitations on inventory costs. The company places orders once a month.
However, in reality the company often experiemces wood inventory exceeding
warehouse capacity, resulting in additional cost in inventory holding costs, leading
to wood inventory holding costs exceeding the company’s maximum allowable
costs. Based on this issue, CV 95 needs an inventory control method to address the
existing problems. EOQ Lagrange Model is a method that can be used to control
inventory. By using the EOQ Lagrange Multiplier method, it will assist the company
in determining better inventory policies in inventory determination. This study aims
to determine the total inventory cost of meranti wood products at CV 95, which will
by compared eith inventory control using the Economic Order Quantity Lagrange
Multiplier Model. In data processing, inventory control will be conducted using
actual data and inventory control with forecasted data for the next 12periods using
cyclic forecasting, cyclical trend, and ARIMA methods. From the data processing
that has been conducted, the results show a minimization of inventory costs. For
the total inventory cost of the company’s, it is Rp. 14,848,000 while using the EOQ
Lagrange Multiplier Mode on historical data, the total inventory cost obtained is
Rp. 13,713,619 resulting in a cost minimization of Rp. 1,134,381. Meanwhile, the
total inventory cost from processing the forecast data for the next 12 periods is Rp.
13,624,606, resulting in a cost minimization of Rp. 1,223,394. | en_US |
