SIMULATION-BASED OPTIMIZATION FOR RESOURCE ALLOCATION AT TPL SYSTEMS
DOI:
https://doi.org/10.23055/ijietap.2012.19.2.405Keywords:
Resource Allocation, Simulation, Genetic Algorithm, Optimization, Third-party LogisticsAbstract
Allocating resource at TPL systems differs significantly from traditional private logistics systems. The resources are considered commodities sold to customers of different types. Total yield suffers when over-allocate to lower-rate or price-sensitive customers; but the resource become “spoiled” when reserve too much for full-rate or time-sensitive customers that do not arrive as expected. Uncertain order characteristics make the optimization of such decisions very hard, if not impossible. In this paper we proposed a simulation-based optimization to address related issues. A genetic algorithm based optimization module is developed to generate/search good solutions; and a discrete-event simulation model is created to evaluate the solutions generated. The two modules are integrated to work in evolutionary cycles to achieve the optimization. The study also compared GA/Simulation model with more traditional approach such as response surface methodology via designed experiments. The models were validated through experimental analysis.Published
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