Improving the service control tower with proactive decision making : a two-staged alert and intervention generating model for proactive lateral transshipments in an after-sales supply chain

This MSc research assignment is executed at ASML, a manufacturer of semi-conductor equipment, operating on a global scale. Like other capital goods manufacturers, ASML offers service contracts to its customers, to ensure the availability of its equipment. Inventory of spare parts is located in numerous warehouses across the world to deliver the spare parts quickly to the customer. A Supply Chain Control Tower is used to monitor this network of Warehouses and to act on detected exceptions. We developed an alert and intervention generating model for the Control Tower of ASML, to enable a proactive response to exceptions in the Supply Chain. Alert generating decision rules preselect parts with an unbalanced network. The intervention generating mathematical model proposes proactive lateral transshipments to balance the risk.