Computerized early warning tool for material demand forecast

Wei Zhang, Technische Universiteit Eindhoven (TUE). Stan Ackermans Instituut. Logistics Management Systems (LMS)

    Onderzoeksoutput: ScriptiePd Eng Thesis

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    One way to manage the material flows in supply chain is based on the purchase orders and the demand forecast for the next company in the chain. ASML in Veldhoven is a world leader in manufacturing lithography systems for the semiconductor industry. Within the company, a SAP system supports the expediting of the purchase orders to its suppliers. However, there is no tool to monitor the demand forecast changes and give warning signals accordingly. Therefore, a detailed assessment is carried out at the Material Ordering department of ASML. As a result, a computerized tool is designed and implemented, which looks for the consequences of updates in the demand forecast for the buy-materials. When a potential shortage in material supply occurs, warning signals are given to Material Ordering, leading to a contact with ASML's suppliers to ensure material availability.
    Originele taal-2Engels
    KwalificatieDoctor in de Filosofie
    Toekennende instantie
    • van Donselaar, Karel H. , Begeleider
    • de Kok, A.G. (Ton), Begeleider
    • Wissink, Robert Jan, Externe begeleider, Externe Persoon
    • Vloon, Willy, Externe begeleider, Externe Persoon
    Datum van toekenning1 jan 2007
    Plaats van publicatieEindhoven
    Gedrukte ISBN's978-90-444-0751-8
    StatusGepubliceerd - 2007

    Bibliografische nota

    Eindverslag. - Logistics Design Project at Material Ordering group, ASML


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