Willem van Jaarsveld

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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)
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)
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