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

A heuristic approach to optimize the production scheduling of fruit-based beverages

Full text
Author(s):
Alyne Toscano [1] ; Deisemara Ferreira [2] ; Reinaldo Morabito [3] ; Murilo Trassi [4]
Total Authors: 4
Affiliation:
[1] Universidade Federal do Triângulo Mineiro. Departamento de Engenharia de Produção - Brasil
[2] Universidade Federal de São Carlos. Departamento de Física, Química e Matemática - Brasil
[3] Universidade Federal de São Carlos. Departamento de Engenharia de Produção - Brasil
[4] Universidade Federal de São Carlos. Departamento de Engenharia de Produção - Brasil
Total Affiliations: 4
Document type: Journal article
Source: Gestão & Produção; v. 27, n. 4 2020-09-21.
Abstract

Abstract: In this paper, the fruit-based beverage production scheduling problem is studied. The aim is to determine the lot sizing and scheduling production, optimizing inventory costs, backorders and cleanings. Fruit-based beverage production processes typically consist of two production stages, beverage preparation and pasteurization/filling/beverage packaging, including the following characteristics: an intermediate inventory in the second stage, temporal cleanings in both stages and the need for synchrony between the two stages. An effective heuristic based on a two-phase mathematical model is proposed to solve the problem in situations where item changeovers in the tanks (Stage 1) and in the lines (Stage 2) are sequence-dependent on the production. In the first stage, the heuristic searches for feasible solutions, while the second is an improvement stage. Computational tests were run using data based on real instances of a beverage company in two variants of the heuristic and both are promising because they are able to find good solutions to the problem in computational times acceptable in practice. (AU)

FAPESP's process: 16/01860-1 - Cutting, packing, lot-sizing, scheduling, routing and location problems and their integration in industrial and logistics settings
Grantee:Reinaldo Morabito Neto
Support Opportunities: Research Projects - Thematic Grants