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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/116811
Title: 
A Study of Different Subsequence Elimination Strategies for the Soft Drink Production Planning
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Universidade Federal de São Carlos (UFSCar)
ISSN: 
1665-6423
Sponsorship: 
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Sponsorship Process Number: 
  • CNPq: 306194/2012-0
  • FAPESP: 10/19006-0
  • FAPESP: 13/07375-0
  • FAPESP: 10/10133-0
Abstract: 
The production of soft drinks involves two main stages: syrup preparation and bottling. To obtain the lots sequence in the bottling stage, three approaches are studied. They are based on the sub-tour elimination constraints used in mathematical models for the Asymmetric Traveling Salesman Problem. Two of the mathematical models are from the literature and use classical constraints. The third model includes multi-commodity flow constraints to eliminate disconnected subsequences. The computational behavior of the three models is studied using instances generated with data from the literature. The numerical results show that there are considerable differences among the three models and indicates that the multi-commodity formulation provides good results but it requires far more computational effort when the instances are solved by a commercial software.
Issue Date: 
1-Aug-2014
Citation: 
Journal Of Applied Research And Technology. Mexico City: Univ Nacional Autonoma Mexico, v. 12, n. 4, p. 631-641, 2014.
Time Duration: 
631-641
Publisher: 
Univ Nacional Autonoma Mexico
Keywords: 
  • Production planning
  • integrated lot sizing and scheduling models
  • asymmetric travelling salesman problem
  • multi-commodity flow
Source: 
http://dx.doi.org/10.1016/S1665-6423(14)70080-X
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/116811
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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