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Demand Fulfilment and ATP

In: Supply Chain Management and Advanced Planning

Author

Listed:
  • Christoph Kilger

    (Wirtschaftsprüfungsgesellschaft)

  • Herbert Meyr

    (University of Hohenheim)

Abstract

The planning process that determines how the actual customer demand is fulfilled is called demand fulfillment. Order promising Order quoting The demand fulfillment process calculates the first promise date for customer orders and—thus—strongly influences the order lead-time and the on time delivery. In today’s competitive markets it is important to generate fast and reliable order promises in order to retain customers and increase market share. KPI (key performance indicator) order lead-time KPI (key performance indicator) on time delivery This holds particularly true in an e-business environment: Orders are entered on-line in the e-business front end, and the customer expects to receive a reliable due date within a short time period.

Suggested Citation

  • Christoph Kilger & Herbert Meyr, 2015. "Demand Fulfilment and ATP," Springer Texts in Business and Economics, in: Hartmut Stadtler & Christoph Kilger & Herbert Meyr (ed.), Supply Chain Management and Advanced Planning, edition 5, chapter 9, pages 177-194, Springer.
    • Handle: RePEc:spr:sptchp:978-3-642-55309-7_9
    DOI: 10.1007/978-3-642-55309-7_9
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    Citations

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    Cited by:

    1. Konstantin Kloos & Richard Pibernik & Benedikt Schulte, 2019. "Allocation planning in sales hierarchies with stochastic demand and service-level targets," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 981-1024, December.
    2. Buergin, Jens & Hammerschmidt, Andreas & Hao, Han & Kramer, Sergej & Tutsch, Hansjoerg & Lanza, Gisela, 2019. "Robust order planning with planned orders for multi-variant series production in a production network," International Journal of Production Economics, Elsevier, vol. 210(C), pages 107-119.
    3. Fleischmann, Moritz & Kloos, Konstantin & Nouri, Maryam & Pibernik, Richard, 2020. "Single-period stochastic demand fulfillment in customer hierarchies," European Journal of Operational Research, Elsevier, vol. 286(1), pages 250-266.
    4. Seitz, Alexander & Grunow, Martin & Akkerman, Renzo, 2020. "Data driven supply allocation to individual customers considering forecast bias," International Journal of Production Economics, Elsevier, vol. 227(C).

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