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Quantifying and mitigating the bullwhip effect in a benchmark supply chain system by an extended prediction self-adaptive control ordering policy

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Keywords
Supply chain management, Ordering policy, Bullwhip effect, Model predictive control, VARIABILITY, IDENTIFICATION, MANAGEMENT, IMPACT, MODEL, INFORMATION, LEAD TIME, DECISION-MAKING, INVENTORY CONTROL, VARIANCE AMPLIFICATION

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Citation

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MLA
Fu, Dongfei, et al. “Quantifying and Mitigating the Bullwhip Effect in a Benchmark Supply Chain System by an Extended Prediction Self-Adaptive Control Ordering Policy.” COMPUTERS & INDUSTRIAL ENGINEERING, vol. 81, 2015, pp. 46–57, doi:10.1016/j.cie.2014.12.024.
APA
Fu, D., Ionescu, C.-M., Aghezzaf, E.-H., & De Keyser, R. (2015). Quantifying and mitigating the bullwhip effect in a benchmark supply chain system by an extended prediction self-adaptive control ordering policy. COMPUTERS & INDUSTRIAL ENGINEERING, 81, 46–57. https://doi.org/10.1016/j.cie.2014.12.024
Chicago author-date
Fu, Dongfei, Clara-Mihaela Ionescu, El-Houssaine Aghezzaf, and Robain De Keyser. 2015. “Quantifying and Mitigating the Bullwhip Effect in a Benchmark Supply Chain System by an Extended Prediction Self-Adaptive Control Ordering Policy.” COMPUTERS & INDUSTRIAL ENGINEERING 81: 46–57. https://doi.org/10.1016/j.cie.2014.12.024.
Chicago author-date (all authors)
Fu, Dongfei, Clara-Mihaela Ionescu, El-Houssaine Aghezzaf, and Robain De Keyser. 2015. “Quantifying and Mitigating the Bullwhip Effect in a Benchmark Supply Chain System by an Extended Prediction Self-Adaptive Control Ordering Policy.” COMPUTERS & INDUSTRIAL ENGINEERING 81: 46–57. doi:10.1016/j.cie.2014.12.024.
Vancouver
1.
Fu D, Ionescu C-M, Aghezzaf E-H, De Keyser R. Quantifying and mitigating the bullwhip effect in a benchmark supply chain system by an extended prediction self-adaptive control ordering policy. COMPUTERS & INDUSTRIAL ENGINEERING. 2015;81:46–57.
IEEE
[1]
D. Fu, C.-M. Ionescu, E.-H. Aghezzaf, and R. De Keyser, “Quantifying and mitigating the bullwhip effect in a benchmark supply chain system by an extended prediction self-adaptive control ordering policy,” COMPUTERS & INDUSTRIAL ENGINEERING, vol. 81, pp. 46–57, 2015.
@article{5937898,
  author       = {{Fu, Dongfei and Ionescu, Clara-Mihaela and Aghezzaf, El-Houssaine and De Keyser, Robain}},
  issn         = {{0360-8352}},
  journal      = {{COMPUTERS & INDUSTRIAL ENGINEERING}},
  keywords     = {{Supply chain management,Ordering policy,Bullwhip effect,Model predictive control,VARIABILITY,IDENTIFICATION,MANAGEMENT,IMPACT,MODEL,INFORMATION,LEAD TIME,DECISION-MAKING,INVENTORY CONTROL,VARIANCE AMPLIFICATION}},
  language     = {{eng}},
  pages        = {{46--57}},
  title        = {{Quantifying and mitigating the bullwhip effect in a benchmark supply chain system by an extended prediction self-adaptive control ordering policy}},
  url          = {{http://doi.org/10.1016/j.cie.2014.12.024}},
  volume       = {{81}},
  year         = {{2015}},
}

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