Dezembro 2020 vol. 7 num. 3 - VIII Simpósio de Engenharia de Produção

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Picker Routing Problem: Taxonomia e métodos de resolução

Picker Routing Problem: Taxonomia e métodos de resolução

Schulz, Andrey A. H.; Scarpin, Cassius Tadeu;

Artigo completo:

A Indústria 4.0 traz consigo grandes expectativas, pois altera o modo como as empresas competem entre si. Esse conceito também se estende para a gestão da cadeia de suprimentos, o Supply Chain Management 4.0 (SCM 4.0), que se bem planejado possibilita vantagens competitivas. Assim, o foco torna-se a atividade de picking, a principal em um Centro de Distribuição. Surge então o Picker Routing Problem (PRP) que visa minimizar a distância total percorrida. O objetivo do trabalho é propor de uma taxonomia para o PRP e levantar seus métodos de resolução encontrados na literatura e baseados em técnicas de Pesquisa Operacional (PO). A contribuição deste trabalho reside no âmbito prático e teórico ao discorrer sobre o PRP sob a ótica da Indústria 4.0.

Artigo completo:

A Indústria 4.0 traz consigo grandes expectativas, pois altera o modo como as empresas competem entre si. Esse conceito também se estende para a gestão da cadeia de suprimentos, o Supply Chain Management 4.0 (SCM 4.0), que se bem planejado possibilita vantagens competitivas. Assim, o foco torna-se a atividade de picking, a principal em um Centro de Distribuição. Surge então o Picker Routing Problem (PRP) que visa minimizar a distância total percorrida. O objetivo do trabalho é propor de uma taxonomia para o PRP e levantar seus métodos de resolução encontrados na literatura e baseados em técnicas de Pesquisa Operacional (PO). A contribuição deste trabalho reside no âmbito prático e teórico ao discorrer sobre o PRP sob a ótica da Indústria 4.0.

Palavras-chave: Indústria 4.0. Picker Routing Problem (PRP). Pesquisa Operacional,

Palavras-chave: Indústria 4.0. Picker Routing Problem (PRP). Pesquisa Operacional,

DOI: 10.5151/viisimep-315867

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Como citar:

Schulz, Andrey A. H.; Scarpin, Cassius Tadeu; "Picker Routing Problem: Taxonomia e métodos de resolução", p. 3148-3162 . In: Anais do VIII Simpósio de Engenharia de Produção . São Paulo: Blucher, 2020.
ISSN 2357-7592, DOI 10.5151/viisimep-315867

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