Academic Bibliography

 Search 200 years of publications by Ghent University researchers.
Advanced search
1 file | 329.93 KB
Add to list
  1. Search results
  2. Sonoco uses a stochastic lotsizing an...

Sonoco uses a stochastic lotsizing and scheduling model to optimize the production of coreboard

Niels De Smet (UGent) , Stefan Minner, El-Houssaine Aghezzaf (UGent) and Bram Desmet
(2019) INFORMS Annual Meeting, Abstracts.
Author
Organization
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

Downloads

  • Download
    desmet informs poster 2019.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 329.93 KB

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.” INFORMS Annual Meeting, Abstracts, Institute for Operations Research and the Management Sciences (INFORMS), 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. In INFORMS Annual Meeting, Abstracts. Seattle: Institute for Operations Research and the Management Sciences (INFORMS).
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 INFORMS Annual Meeting, Abstracts. Institute for Operations Research and the Management Sciences (INFORMS).
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 INFORMS Annual Meeting, Abstracts. Institute for Operations Research and the Management Sciences (INFORMS).
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: INFORMS Annual Meeting, Abstracts. Institute for Operations Research and the Management Sciences (INFORMS); 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,” in INFORMS Annual Meeting, Abstracts, 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},
  booktitle    = {INFORMS Annual Meeting, Abstracts},
  keywords     = {lotsizing,scheduling,stochastic demand,sequence-dependent},
  language     = {eng},
  location     = {Seattle},
  pages        = {1},
  publisher    = {Institute for Operations Research and the Management Sciences (INFORMS)},
  title        = {Sonoco uses a stochastic lotsizing and scheduling model to optimize the production of coreboard},
  year         = {2019},
}