Willem van Jaarsveld

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In the classical approach to determine how many spare parts to stock, the spare parts shortage costs or the minimum fill rate is a key factor. A difficulty with this approach lies in the estimation of these shortage costs or the determination of appropriate minimum fill rates. In an attempt to overcome this problem, we propose to use the data gathered in(More)
Using a novel stochastic programming (SP) formulation, we develop an algorithm for inventory control in industrial sized Assemble-To-Order (ATO) systems that has unparalleled efficiency and scalability. Applying our algorithm on several numerical examples, we generate new insights with respect to the control and optimization of these systems. We consider a(More)
We study spare parts inventory control for a repair shop for aircraft components. Defect components that are removed from the aircraft are sent to such a shop for repair. Only after the component has been inspected does it become clear which specific spare parts are needed to repair it, and in what quantity they are needed. Market requirements for shop(More)
In the classical approach to determine how many spare parts to stock, the spare parts shortage costs or the minimum fill rate are a key factor. A difficulty with this approach lies in the estimation of these shortage costs or the determination of appropriate minimum fill rates. In an attempt to overcome this problem, we propose to use the data gathered in(More)
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