Forecasting of lead-time demand variance: implications for safety stock calculations

M. Z. Babai, Y. Dai, Q. Li, A. Syntetos, X. Wang

DOI: 10.1016/j.ejor.2021.04.017
Published: 2022-02
Container: European Journal of Operational Research
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.ejor.2021.04.017,
  title = {Forecasting of lead-time demand variance: implications for safety stock calculations},
  author = {M. Z. Babai and Y. Dai and Q. Li and A. Syntetos and X. Wang},
  year = {2022},
  journal = {European Journal of Operational Research},
  doi = {10.1016/j.ejor.2021.04.017},
  url = {https://doi.org/10.1016/j.ejor.2021.04.017}
}

RIS

TY  - JOUR
TI  - Forecasting of lead-time demand variance: implications for safety stock calculations
AU  - M. Z. Babai
AU  - Y. Dai
AU  - Q. Li
AU  - A. Syntetos
AU  - X. Wang
PY  - 2022
JO  - European Journal of Operational Research
DO  - 10.1016/j.ejor.2021.04.017
UR  - https://doi.org/10.1016/j.ejor.2021.04.017
ER  -

APA

Babai, M. Z., Dai, Y., Li, Q., Syntetos, A., & Wang, X. (2022). Forecasting of lead-time demand variance: implications for safety stock calculations. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2021.04.017

Source records

hal · retrieved 2026-11-10T08:14:34.098Z