[article] 
inIndustrial & engineering chemistry research > Vol. 49 N° 9 (Mai 2010) . - pp. 3993–4017

Titre :	Planning and scheduling under uncertainty : A review across multiple sectors
Type de document :	texte imprimé
Auteurs :	Peter M. Verderame, Auteur ; Josephine A. Elia, Auteur ; Jie Li, Auteur
Année de publication :	2010
Article en page(s) :	pp. 3993–4017
Note générale :	Industrial chemistry
Langues :	Anglais (eng)
Mots-clés :	Uncertainty analysis
Résumé :	This paper provides an overview of the key contributions within the planning and scheduling communities with specific emphasis on uncertainty analysis. As opposed to focusing in one particular industry, several independent sectors have been reviewed in order to find commonalities and potential avenues for future interdisciplinary collaborations. The objectives and physical constraints present within the planning and scheduling problems may vary greatly from one sector to another; however, all problems share the common attribute of needing to model parameter uncertainty in an explicit manner. It will be demonstrated through the literature review that two-stage stochastic programming, parametric programming, fuzzy programming, chance constraint programming, robust optimization techniques, conditional value-at-risk, and other risk mitigation procedures have found widespread application within all of the analyzed sectors. This review is the first work which attempts to provide a comprehensive description of the advances and future directions for planning and scheduling under uncertainty within a variety of sectors.
ISSN :	0888-5885
En ligne :	http://pubs.acs.org/doi/abs/10.1021/ie902009k

[article] Planning and scheduling under uncertainty : A review across multiple sectors [texte imprimé] / Peter M. Verderame, Auteur ; Josephine A. Elia, Auteur ; Jie Li, Auteur . - 2010 . - pp. 3993–4017.
Industrial chemistry
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 49 N° 9 (Mai 2010) . - pp. 3993–4017

Mots-clés :	Uncertainty analysis
Résumé :	This paper provides an overview of the key contributions within the planning and scheduling communities with specific emphasis on uncertainty analysis. As opposed to focusing in one particular industry, several independent sectors have been reviewed in order to find commonalities and potential avenues for future interdisciplinary collaborations. The objectives and physical constraints present within the planning and scheduling problems may vary greatly from one sector to another; however, all problems share the common attribute of needing to model parameter uncertainty in an explicit manner. It will be demonstrated through the literature review that two-stage stochastic programming, parametric programming, fuzzy programming, chance constraint programming, robust optimization techniques, conditional value-at-risk, and other risk mitigation procedures have found widespread application within all of the analyzed sectors. This review is the first work which attempts to provide a comprehensive description of the advances and future directions for planning and scheduling under uncertainty within a variety of sectors.
ISSN :	0888-5885
En ligne :	http://pubs.acs.org/doi/abs/10.1021/ie902009k