| dc.description.abstract | This thesis considers the problem of optimizing safety stocks in multi-echelon inventory systems
with stochastic demand by guarantee service approach. Safety stocks are necessary to make the
supply chain, which is driven by forecasts of customer orders, responsive to demand uncertainties
and to achieve predefined target service levels. In particular, the supply chain will be configured,
the certain amount of safety stock and lead time will be placed on each stage to ensure that
products are delivered to customers in guarantee service time. In order to achieve the objectives,
the new nature-inspired swarm- based meta-heuristic called Intelligent Water Drops (IWD) was
applied, which imitates some of the processes that happen in nature between the water drops of a
river and the soil of the river bed. To demonstrate the utility of the proposed approach, an
application of the approach at MCZ114, a domestic chemical and mechanical company, will be
discussed | en_US |
