Abstract :
Cv. Laresolo Tea House is one of small medium enterprise or a tea house that
served some kind of drinks and foods. It is located on Babarsari Street Ruko
Raflesia II Blok N, Yogyakarta. The special menu in this tea house is many kind
of tea. It was established on December, 30th 2012. There are five variants tea
that available in Laresolo Tea House such as Black Tea, White Tea, Oolong Tea,
Green Tea and Thai Tea which is divided into 36 different menus of tea. These
kind of tea comes from Bogor, China and Thailand, but Laresolo order the tea
from Mr. Bambang (supplier) in Bogor. Demand of tea in this company is
probabilistic, while Laresolo does not have a method to calculate the inventory. It
can lead to over or shortage buying. Therefore Laresolo needs to reanalyze
about the quantity of reordering the tea to the supplier. The order quantity should
in the exact number because if it is not it can caused the stock out condition and
also higher quantity of expired tea if they save the raw material in the long term.
Laresolo also need the calculation of when and how much tea that should be
order to the supplier. The objective of this research is to determine the optimum
quantity and time or how much tea and the time to order the raw materials (tea)
to avoid the over buying or shortages buying the tea to minimize the total
inventory cost by considering the capacity of the storage that available. A
simulation by using Microsof Excel is used to solved the inventory system in
Laresolo Tea House. In this simulation, there are three scenarios such as,
scenario 1 (order based on reorder point and quantity), scenario 2 (order based
reorder point and the remaining of quantity target) and scenario 3 (order based
on the period, reorder point and quantity). The result of simulation shows that
scenario 3 with the period three days has the lowest total inventory cost that is
Rp 27.458.497 per year while in the actual the total inventory cost is Rp
42.000.000 per year. It is clearly shows that the actual cost is higher than
simulation cost in scenario 3. Then can be concluded that scenario 3 is better
than actual inventory system