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Data driven supply allocation to individual customers considering forecast bias

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  • Seitz, Alexander
  • Grunow, Martin
  • Akkerman, Renzo

Abstract

We propose a data-driven allocation planning approach, which is designed for use in advanced planning systems as they are widely used in industrial environments. The approach exploits increasingly available data on individual customers and products by allocating supply on a highly granular level at high planning frequencies. It counteracts rationing gaming by customers, which we assume to be the reason for demand forecast biases.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:proeco:v:227:y:2020:i:c:s0925527320300761
    DOI: 10.1016/j.ijpe.2020.107683
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    References listed on IDEAS

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    1. Chevalier, Philippe & Lamas, Alejandro & Lu, Liang & Mlinar, Tanja, 2015. "Revenue management for operations with urgent orders," European Journal of Operational Research, Elsevier, vol. 240(2), pages 476-487.
    2. Chiang, David Ming-Huang & Wu, Andy Wei-Di, 2011. "Discrete-order admission ATP model with joint effect of margin and order size in a MTO environment," International Journal of Production Economics, Elsevier, vol. 133(2), pages 761-775, October.
    3. Kloos, Konstantin & Pibernik, Richard, 2020. "Allocation planning under service-level contracts," European Journal of Operational Research, Elsevier, vol. 280(1), pages 203-218.
    4. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect"," Management Science, INFORMS, vol. 50(12_supple), pages 1887-1893, December.
    5. Lars Mönch & Reha Uzsoy & John W. Fowler, 2018. "A survey of semiconductor supply chain models part III: master planning, production planning, and demand fulfilment," International Journal of Production Research, Taylor & Francis Journals, vol. 56(13), pages 4565-4584, July.
    6. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 50(12_supple), pages 1875-1886, December.
    7. 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.
    8. Jörg Thomas Dickersbach, 2009. "Supply Chain Management with SAP APO¿," Springer Books, Springer, number 978-3-540-92942-0, June.
    9. Liu, Shudong & Song, Miao & Tan, Kok Choon & Zhang, Changyong, 2015. "Multi-class dynamic inventory rationing with stochastic demands and backordering," European Journal of Operational Research, Elsevier, vol. 244(1), pages 153-163.
    10. Alexander Seitz & Martin Grunow, 2017. "Increasing accuracy and robustness of order promises," International Journal of Production Research, Taylor & Francis Journals, vol. 55(3), pages 656-670, February.
    11. Zhenying Zhao & Michael Ball & Masahiro Kotake, 2005. "Optimization-Based Available-To-Promise with Multi-Stage Resource Availability," Annals of Operations Research, Springer, vol. 135(1), pages 65-85, March.
    12. Tsai, Kune-muh & Wang, Shan-chi, 2009. "Multi-site available-to-promise modeling for assemble-to-order manufacturing: An illustration on TFT-LCD manufacturing," International Journal of Production Economics, Elsevier, vol. 117(1), pages 174-184, January.
    13. Herbert Meyr, 2009. "Customer segmentation, allocation planning and order promising in make-to-stock production," Springer Books, in: Herbert Meyr & Hans-Otto Günther (ed.), Supply Chain Planning, pages 117-144, Springer.
    14. Venkatadri, Uday & Srinivasan, Ashok & Montreuil, Benoit & Saraswat, Ashish, 2006. "Optimization-based decision support for order promising in supply chain networks," International Journal of Production Economics, Elsevier, vol. 103(1), pages 117-130, September.
    15. Alarcón, F. & Alemany, M.M.E. & Ortiz, A., 2009. "Conceptual framework for the characterization of the order promising process in a collaborative selling network context," International Journal of Production Economics, Elsevier, vol. 120(1), pages 100-114, July.
    16. İsmail Bakal & Nesim Erkip & Refik Güllü, 2011. "Value of supplier’s capacity information in a two-echelon supply chain," Annals of Operations Research, Springer, vol. 191(1), pages 115-135, November.
    17. Thomas R. Ervolina & Markus Ettl & Young M. Lee & Daniel J. Peters, 2009. "Managing product availability in an assemble-to-order supply chain with multiple customer segments," Springer Books, in: Herbert Meyr & Hans-Otto Günther (ed.), Supply Chain Planning, pages 145-168, Springer.
    18. Baptiste Lebreton, 2015. "Integrated Campaign Planning, Scheduling and Order Confirmation in the Specialty Chemicals Industry," Springer Texts in Business and Economics, in: Hartmut Stadtler & Christoph Kilger & Herbert Meyr (ed.), Supply Chain Management and Advanced Planning, edition 5, chapter 26, pages 475-485, Springer.
    19. Long Gao & Susan H. Xu & Michael O. Ball, 2012. "Managing an Available-to-Promise Assembly System with Dynamic Short-Term Pseudo-Order Forecast," Management Science, INFORMS, vol. 58(4), pages 770-790, April.
    20. Pibernik, Richard, 2005. "Advanced available-to-promise: Classification, selected methods and requirements for operations and inventory management," International Journal of Production Economics, Elsevier, vol. 93(1), pages 239-252, January.
    21. Meyr, H., 2009. "Customer Segmentation, Allocation Planning and Order Promising in Make-to-Stock Production," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36061, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    22. Richard Pibernik & Prashant Yadav, 2009. "Inventory reservation and real-time order promising in a Make-to-Stock system," Springer Books, in: Herbert Meyr & Hans-Otto Günther (ed.), Supply Chain Planning, pages 169-195, Springer.
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    2. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).

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