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)
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)
We study spare parts inventory control for an aircraft component repair shop. Inspection of a defective component reveals which spare parts are needed to repair it, and in what quantity. Spare part shortages delay repairs, while aircraft operators demand short component repair times. Current spare parts inventory optimization methods cannot guarantee the(More)
Transport companies often have a published timetable. To maintain timetable reliability despite delays, companies include bu er times during timetable development, and adjust the traveling speed during timetable execution. We develop an approach that can integrate decisions at di erent time scales (tactical and operational). We model execution of the(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)
Models, algorithms and performance analysis for adaptive operating room scheduling Guanlian Xiao, Willem van Jaarsveld, Ming Dong & Joris van de Klundert To cite this article: Guanlian Xiao, Willem van Jaarsveld, Ming Dong & Joris van de Klundert (2017): Models, algorithms and performance analysis for adaptive operating room scheduling, International(More)
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