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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Modeling and solving a sugarcane harvest front scheduling problem

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Autor(es):
Ribeiro Junqueira, Rogerio de Avila [1] ; Morabito, Reinaldo [2]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Logtrac Consultores Associados SC, Sao Carlos, SP - Brazil
[2] Univ Fed Sao Carlos, Prod Engn Dept, Via Washington Luis, Km 235, BR-13565905 Sao Carlos, SP - Brazil
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS; v. 213, p. 150-160, JUL 2019.
Citações Web of Science: 2
Resumo

Sugarcane harvest front scheduling is a complex process that affects the main activities of sugarmill supply logistics and it should simultaneously consider the available harvest and transport capacities, which are sometimes neglected. This paper models this scheduling problem, exploring an analogy to the well-known general lotsizing and scheduling problem with parallel production lines, and presents a heuristic method to solve it, involving an aggregation process, a constructive MIP heuristic based on relax-and-fix and an improving MIP heuristic based on fix-and-optimize. This optimization approach is applied to solve a large-sized real problem instance of a Brazilian mill whole season. To validate the approach, a validation process of the literature is applied by consulting a selected group of Brazilian harvest planning specialists. The results highlight the potential of the approach and how it can change the current harvest planning practices, enabling plans that consider the balance of harvest and transport capacities without using sectorization. (AU)

Processo FAPESP: 16/01860-1 - Problemas de corte, empacotamento, dimensionamento de lotes, programação da produção, roteamento, localização e suas integrações em contextos industriais e logísticos
Beneficiário:Reinaldo Morabito Neto
Modalidade de apoio: Auxílio à Pesquisa - Temático