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Multiple lot-sizing decisions in a two-stage production with an interrupted geometric yield and non-rigid demand / Wu, M.-C. in Journal of the operational research society (JORS), Vol. 62 N° 6 (Juin 2011) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 62 N° 6 (Juin 2011) . - pp. 1075–1084 Titre : Multiple lot-sizing decisions in a two-stage production with an interrupted geometric yield and non-rigid demand Type de document : texte imprimé Auteurs : Wu, M.-C., Auteur ; Huang, L.-C., Auteur ; Hsu, H.-M., Auteur Année de publication : 2011 Article en page(s) : pp. 1075–1084 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Lot-sizing  Interrupted  geometric  distribution  Dynamic  programming  Two-stage  system  Production/inventory  system Index. décimale : 001.424 Résumé : In a production system with random yield, it may be more cost effective to release lots multiple times towards fulfilling a customer order. Such a decision, called the multiple lot-sizing problem, has been investigated in various contexts. This paper proposes an efficient algorithm for solving a new multiple lot-sizing problem defined in the context of a two-stage production system with non-rigid demand when its process yields are governed by interrupted geometric distributions. We formulate this problem as a dynamic program (DP) and develop lemmas to solve it. However, solving such a DP may be computationally extensive, particularly for large-scale cases with a high yield. Therefore, this study proposes an efficient algorithm for resolving computational issues. This algorithm is designed to reduce the DP network into a much simpler algorithm by combining a group of DP branches into a single one. Extensive experiments were carried out. Results indicate that the proposed reduction algorithm is quite helpful for practitioners dealing with large-scale cases characterized by high-yield. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n6/abs/jors201039a.html [article] Multiple lot-sizing decisions in a two-stage production with an interrupted geometric yield and non-rigid demand [texte imprimé] / Wu, M.-C., Auteur ; Huang, L.-C., Auteur ; Hsu, H.-M., Auteur . - 2011 . - pp. 1075–1084. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 62 N° 6 (Juin 2011) . - pp. 1075–1084 Mots-clés : Lot-sizing  Interrupted  geometric  distribution  Dynamic  programming  Two-stage  system  Production/inventory  system Index. décimale : 001.424 Résumé : In a production system with random yield, it may be more cost effective to release lots multiple times towards fulfilling a customer order. Such a decision, called the multiple lot-sizing problem, has been investigated in various contexts. This paper proposes an efficient algorithm for solving a new multiple lot-sizing problem defined in the context of a two-stage production system with non-rigid demand when its process yields are governed by interrupted geometric distributions. We formulate this problem as a dynamic program (DP) and develop lemmas to solve it. However, solving such a DP may be computationally extensive, particularly for large-scale cases with a high yield. Therefore, this study proposes an efficient algorithm for resolving computational issues. This algorithm is designed to reduce the DP network into a much simpler algorithm by combining a group of DP branches into a single one. Extensive experiments were carried out. Results indicate that the proposed reduction algorithm is quite helpful for practitioners dealing with large-scale cases characterized by high-yield. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n6/abs/jors201039a.html