Computerized early warning tool for material demand forecast

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

    Research output: ThesisPd Eng Thesis

    4 Downloads (Pure)

    Abstract

    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.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    Supervisors/Advisors
    • van Donselaar, Karel H. , Supervisor
    • de Kok, A.G. (Ton), Supervisor
    • Wissink, Robert Jan, External supervisor, External person
    • Vloon, Willy, External supervisor, External person
    Award date1 Jan 2007
    Place of PublicationEindhoven
    Publisher
    Print ISBNs978-90-444-0751-8
    Publication statusPublished - 2007

    Bibliographical note

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

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  • Cite this

    Zhang, W., & Technische Universiteit Eindhoven (TUE). Stan Ackermans Instituut. Logistics Management Systems (LMS) (2007). Computerized early warning tool for material demand forecast. Technische Universiteit Eindhoven.