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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A Study of Different Subsequence Elimination Strategies for the Soft Drink Production Planning

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Author(s):
Maldonado, M. [1] ; Rangel, S. [1] ; Ferreira, D. [2]
Total Authors: 3
Affiliation:
[1] UNESP Univ Estadual Paulista, Dept Matemat Aplicada, IBILCE Sao Jose do Rio Preto, Sao Paulo - Brazil
[2] UFSCar Univ Fed Sao Carlos, Dept Fis Quim & Matemat, Sao Paulo - Brazil
Total Affiliations: 2
Document type: Journal article
Source: JOURNAL OF APPLIED RESEARCH AND TECHNOLOGY; v. 12, n. 4, p. 631-641, AUG 2014.
Web of Science Citations: 2
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. (AU)

FAPESP's process: 10/10133-0 - Cutting, packing, lot-sizing and scheduling problems and their integration in industrial and logistics settings
Grantee:Reinaldo Morabito Neto
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 10/19006-0 - Reformulations and solution methods to the integrated lot sizing and scheduling problem
Grantee:Michelli Maldonado Carretero
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC