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Increased productivity of storage and picking processes in a mass-consumption warehouse applying Lean Warehousing tools: A Research in Peru

Ernesto Figueroa-Rivera,Andres Bautista-Gonzales,Juan Carlos Quiroz Flores

Published 2022 in Proceedings of the LACCEI international multi-conference for engineering, education and technology

ABSTRACT

– In recent years, the warehouse logistics sector in Peru has shown a considerable increase proportional to the country's economic growth, however, this increase in the sector has not been accompanied by large technological investments. This deficiency implies that logistics operators that provide warehousing service keep staff labor as their main resource, generating operational inefficiencies that lead to cost overruns and a low level of competitiveness. This research focuses on the application of tools of the lean warehouse methodology in a 3pl warehouse with the final objective of obtaining a continuous improvement model that optimizes the use of resources used in operational processes, reducing cost overruns related to excessive use of labor in the process of picking and storage. The model uses tools such as standardization through 5S, route optimization with SLP, reduction of rework through FEFO, and flow optimization with operator load balancing. The proposal was executed through pilots and simulations in the sand software, obtaining as results an increase in picking productivity by 26.7% and storage productivity by 33.8%.

PUBLICATION RECORD

  • Publication year

    2022

  • Venue

    Proceedings of the LACCEI international multi-conference for engineering, education and technology

  • Publication date

    Unknown publication date

  • Fields of study

    Not labeled

  • Identifiers
    DOI 10.18687/laccei2022.1.1.120
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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