PENENTUAN MINIMUM STOCK CYLINDER, FREKUENSI DAN JUMLAH PENARIKAN DI FIELD UNTUK PEMENUHAN TARGET SERVICE LEVEL DENGAN MEMPERTIMBANGKAN KETIDAKPASTIAN PERMINTAAN
Uncertainty in the supply chain can be caused by fluctuations in demand, lead time and the presence of fluctuations in supply lead time and a process that involves many parties, thus resulting in the risk of shortage of stock at the time the material is needed, and the company may not reach the d...
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Main Authors: | , |
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Format: | Theses and Dissertations NonPeerReviewed |
Published: |
[Yogyakarta] : Universitas Gadjah Mada
2014
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Subjects: | |
Online Access: | https://repository.ugm.ac.id/130448/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=70870 |
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Institution: | Universitas Gadjah Mada |
Summary: | Uncertainty in the supply chain can be caused by fluctuations in demand,
lead time and the presence of fluctuations in supply lead time and a process that
involves many parties, thus resulting in the risk of shortage of stock at the time the
material is needed, and the company may not reach the desired service level.
Therefore, the company should have inventory reserves to cope with uncertainty
and reduce the risk of stock out. However, on the other hand the existence of the
inventory will lead to greater storage costs for the company. So, we need an
analysis of reorder point value that can reach a target service level and the optimal
order quantity of inventory costs. This study aims to model the fluctuations in
demand which in turn is used to determine the function and value of the reorder
point, order frequency and the optimum number of orders for the material in the
form of cylinder gases for later evaluation of the existing system.
Analysis to determine the value of the reorder point and order quantity
optimum done by developing a mathematical model that describes the fluctuations
of demand and lead time. Development of this model was based on the PDF and
CDF of each data fluctuate. Once known fluctuating demand patterns and lead
times, further development of the model to determine the function of the reorder
point, order quantity and order frequency by combining the two distributions
representing the distribution of demand and lead time. Then, the results obtained
from the calculations used for comparison in the evaluation of existing systems.
The calculations show that the value of the reorder point and order
quantity for some kind of actual gas is lower than the theoritical value, but for
several kinds of other gases, the actual value of the reorder point and order
quantity is higher than its theoretical value. While the actual value of service level
for some kind of gas is already reached 98%, but for some other type of gas, the
value of the service level achieved is still lower than 98%. Evaluation results
show that the service level for some kind of gas as that has not reached the target
service level due to the actual value of the reorder point for the type of gas is
lower than the value of the reorder point or reorder point calculation results
needed to be able to achieve same target service level.
The conclusion of this study is the pattern of demand fluctuations of the
eight types of gas that has been successfully modeled and analyzed the value of
the reorder point, the optimum order quantity and order frequency has been
obtained. In addition, when the actual value of the reorder point reorder point
lower than theoretical, the service level achieved in the existing system is below
98%. |
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