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Demand forecasting techniques for build-to-order lean manufacturing supply chains

Author

Listed:
  • Rodrigo Rivera-Castro
  • Ivan Nazarov
  • Yuke Xiang
  • Alexander Pletneev
  • Ivan Maksimov
  • Evgeny Burnaev

Abstract

Build-to-order (BTO) supply chains have become common-place in industries such as electronics, automotive and fashion. They enable building products based on individual requirements with a short lead time and minimum inventory and production costs. Due to their nature, they differ significantly from traditional supply chains. However, there have not been studies dedicated to demand forecasting methods for this type of setting. This work makes two contributions. First, it presents a new and unique data set from a manufacturer in the BTO sector. Second, it proposes a novel data transformation technique for demand forecasting of BTO products. Results from thirteen forecasting methods show that the approach compares well to the state-of-the-art while being easy to implement and to explain to decision-makers.

Suggested Citation

  • Rodrigo Rivera-Castro & Ivan Nazarov & Yuke Xiang & Alexander Pletneev & Ivan Maksimov & Evgeny Burnaev, 2019. "Demand forecasting techniques for build-to-order lean manufacturing supply chains," Papers 1905.07902, arXiv.org.
    • Handle: RePEc:arx:papers:1905.07902
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    File URL: http://arxiv.org/pdf/1905.07902
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    Cited by:

    1. Jagdish Bhadu & Pramod Kumar & Jaiprakash Bhamu & Dharmendra Singh, 2022. "Lean production performance indicators for medium and small manufacturing enterprises: modelling through analytical hierarchy process," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 978-997, April.

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