Documents disponibles écrits par cet auteur

Single-stage scheduling of multiproduct batch plants / Songsong Liu in Industrial & engineering chemistry research, Vol. 49 N° 18 (Septembre 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 18 (Septembre 2010) . - pp. 8657–8669 Titre : Single-stage scheduling of multiproduct batch plants : an edible-oil deodorizer case study Type de document : texte imprimé Auteurs : Songsong Liu, Auteur ; Jose M. Pinto, Auteur ; Lazaros G. Papageorgiou, Auteur Année de publication : 2010 Article en page(s) : pp. 8657–8669 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Edible  oil  deodorizer Résumé : This article considers the short-term scheduling of a single-stage batch edible-oil deodorizer that can process multiple products in several product groups. Sequence-dependent changeovers occur when switching from one product group to another. Based on the incorporation of products into product groups, mixed integer linear programming (MILP) models are proposed for two scenarios, with and without backlogs. Then, the models are successfully applied to a real-world case with 70 product orders over a 128-h planning horizon. Compared with a literature model developed for a similar problem, the proposed models exhibit significantly better performance. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie1002137#afn2 [article] Single-stage scheduling of multiproduct batch plants : an edible-oil deodorizer case study [texte imprimé] / Songsong Liu, Auteur ; Jose M. Pinto, Auteur ; Lazaros G. Papageorgiou, Auteur . - 2010 . - pp. 8657–8669. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 18 (Septembre 2010) . - pp. 8657–8669 Mots-clés : Edible  oil  deodorizer Résumé : This article considers the short-term scheduling of a single-stage batch edible-oil deodorizer that can process multiple products in several product groups. Sequence-dependent changeovers occur when switching from one product group to another. Based on the incorporation of products into product groups, mixed integer linear programming (MILP) models are proposed for two scenarios, with and without backlogs. Then, the models are successfully applied to a real-world case with 70 product orders over a 128-h planning horizon. Compared with a literature model developed for a similar problem, the proposed models exhibit significantly better performance. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie1002137#afn2

A TSP-based MILP model for medium-term planning of single-stage continuous multiproduct plants / Songsong Liu in Industrial & engineering chemistry research, Vol. 47 N°20 (Octobre 2008) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 47 N°20 (Octobre 2008) . - P. 7733-7743 Titre : A TSP-based MILP model for medium-term planning of single-stage continuous multiproduct plants Type de document : texte imprimé Auteurs : Songsong Liu, Auteur ; Jose M. Pinto, Auteur ; Lazaros G. Papageorgiou, Auteur Année de publication : 2008 Article en page(s) : P. 7733-7743 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : mixed-integer  linear  programming  (MILP)Plants Résumé : In this paper, we consider the problem of medium-term planning of single-stage continuous plants with a single processing unit that manufactures several products over a planning horizon of several weeks. Sequence-dependent changeover times and costs occur when switching from one type of product to another. To overcome the computational expensiveness of traditional slot-based models for large instances, a novel TSP-based (traveling salesman problem) mixed-integer linear programming (MILP) model is proposed that relies on a hybrid discrete/continuous time representation. The model is applied to an example of a real world polymer processing plant to illustrate its applicability. Finally, the proposed model is compared to recently published approaches through literature examples, and the results show that the computational performance of the proposed model is superior. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800646q [article] A TSP-based MILP model for medium-term planning of single-stage continuous multiproduct plants [texte imprimé] / Songsong Liu, Auteur ; Jose M. Pinto, Auteur ; Lazaros G. Papageorgiou, Auteur . - 2008 . - P. 7733-7743. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 47 N°20 (Octobre 2008) . - P. 7733-7743 Mots-clés : mixed-integer  linear  programming  (MILP)Plants Résumé : In this paper, we consider the problem of medium-term planning of single-stage continuous plants with a single processing unit that manufactures several products over a planning horizon of several weeks. Sequence-dependent changeover times and costs occur when switching from one type of product to another. To overcome the computational expensiveness of traditional slot-based models for large instances, a novel TSP-based (traveling salesman problem) mixed-integer linear programming (MILP) model is proposed that relies on a hybrid discrete/continuous time representation. The model is applied to an example of a real world polymer processing plant to illustrate its applicability. Finally, the proposed model is compared to recently published approaches through literature examples, and the results show that the computational performance of the proposed model is superior. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800646q