Jurnal Gamma, Vol 4, No 2 (2009)

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Annisa Kesy Garside


The analyticalmodel to solve the integration-production-distribution problem has drawback
of not able to accomodate the uncertainty of supply chain. This research aims to develop a simulation
model to obtain a production and distribution plan that not only minimize the production and
distribution cost but also implementable in the real world situation.
The steps of the research includes data generation, analytical model formulation and solution
model search, deterministic simulation model design based on generated data and analytical solution
model, verification test, running deterministic simulation model, validation test, stochastic simulation
model design by incorporating uncertainty factor in terms of probabilistic production time and
vehicle speed and validation of analytical solution model to determine whether the analytical model
solution is worth to be implemented.
The deterministic simulation and stochastic models were designed with ARENA simulation
software. Based on the stochastic running model, the total time for period one is higher than 48
available hours so concluded that analytical solution model is not worth implemented.
Keywords:. supply chain, production-distribution integration, analytical model, simulation model,
deterministic, stochastic, ARENA software

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