| Summary: | The main problem in the blood supply chain is inability of blood manager which
is Red Cross or Blood banks, provide blood product according the demand. Demand
for blood products in recent times tend to increase while the blood supply has not
able to compensate for the condition. On the other hand is still very difficult for Red
Cross or Blood banks to increase the amount of blood supply, due to health element
that difficult in maintaining or improving the quality of the donor. This problem more
difficult because of high complexity in the system as demand of blood product and
blood bags supply that are stochastic, and the characteristic perishable on each
product.
This study aims to develop simulation model use Discrete Event Simulation
(DES), which aims to evaluate and improve the blood supply chain performance, with
the scope of study is located in Yogyakarta Regional Red Cross and Dr. Soeradji
Tirtonegoro Hospital Blood Banks. The data used include the supply of blood bags,
demand of blood product, and the production of blood products in Yogyakarta
Regional Red Cross, as well as the amount of supply, demand and delivery of blood
products in BDRS Dr. Soeradji Tirtonegoro.
There are 3 models are constructed, namely sub-model of PMI Yogyakarta, submodels
BDRS Dr. Soeradji Tirtonegoro, and the integration model of PMI
Yogyakarta - BDRS Dr. Soeradji Tirtonegoro. The results of the supply chain
simulation generates values for each supply chain performance 16% shortage of submodels
for PMI Yogyakarta, 17% shortage for sub-models BDRS Dr. Soeradji
Tirtonegoro, and 13% shortage for the integration model PMI Yogyakarta - BDRS
Dr. Soeradji Tirtonegoro. Then several scenario are developed, consist of (1)
percentage change in product production, (2) decrease in the number of blood bags
reject, and (3) increase the amount of demand PRC from BDRS Dr. Soeardji
Tirtonegoro to PMI Kota Yogyakarta for 24%. The combination of the scenario (1)
and (2) give the increasing blood supply chain performance significantly for PMI
Kota Yogyakarta, and scenario (3) give the increasing performance significantly for
BDRS Dr. Soeradji Tirtonegoro. In addition, use sensitivity analysis on the parameter
of modelling, it's found that the changes in the value of the amount of demand for
blood product is the most sensitive parameters provide performance change in the
system
Keywords: discrete event simulation, blood supply chain, scenario development,
sensitivity analysis
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