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Sonoco Uses a Stochastic Lotsizing and Scheduling Model to Optimize the Production of Coreboard

(2019)
Author
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Abstract
Since several years we have been working together with the European supply chain team of Sonoco, one of the largest global players active in the packaging industry, to solve a variety of supply chain challenges encountered in their industrial products & services division. In this work, we present the result from a pilot project related to production planning for which we developed a novel stochastic lotsizing and scheduling model and a solution approach tailored to their specific business environment.
Keywords
lotsizing, scheduling, stochastic demand, sequence-dependent

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Citation

Please use this url to cite or link to this publication:

MLA
De Smet, Niels, et al. Sonoco Uses a Stochastic Lotsizing and Scheduling Model to Optimize the Production of Coreboard. 2019.
APA
De Smet, N., Minner, S., Aghezzaf, E.-H., & Desmet, B. (2019). Sonoco Uses a Stochastic Lotsizing and Scheduling Model to Optimize the Production of Coreboard. Presented at the INFORMS Annual Meeting, Seattle.
Chicago author-date
De Smet, Niels, Stefan Minner, El-Houssaine Aghezzaf, and Bram Desmet. 2019. “Sonoco Uses a Stochastic Lotsizing and Scheduling Model to Optimize the Production of Coreboard.” In .
Chicago author-date (all authors)
De Smet, Niels, Stefan Minner, El-Houssaine Aghezzaf, and Bram Desmet. 2019. “Sonoco Uses a Stochastic Lotsizing and Scheduling Model to Optimize the Production of Coreboard.” In .
Vancouver
1.
De Smet N, Minner S, Aghezzaf E-H, Desmet B. Sonoco Uses a Stochastic Lotsizing and Scheduling Model to Optimize the Production of Coreboard. In 2019.
IEEE
[1]
N. De Smet, S. Minner, E.-H. Aghezzaf, and B. Desmet, “Sonoco Uses a Stochastic Lotsizing and Scheduling Model to Optimize the Production of Coreboard,” presented at the INFORMS Annual Meeting, Seattle, 2019.
@inproceedings{8633954,
  abstract     = {Since several years we have been working together with the European supply chain team of Sonoco, one of the largest global players active in the packaging industry, to solve a variety of supply chain challenges encountered in their industrial products & services division. In this work, we present the result from a pilot project related to production planning for which we developed a novel stochastic lotsizing and scheduling model and a solution approach tailored to their specific business environment.},
  author       = {De Smet, Niels and Minner, Stefan and Aghezzaf, El-Houssaine and Desmet, Bram},
  keywords     = {lotsizing,scheduling,stochastic demand,sequence-dependent},
  language     = {eng},
  location     = {Seattle},
  title        = {Sonoco Uses a Stochastic Lotsizing and Scheduling Model to Optimize the Production of Coreboard},
  year         = {2019},
}