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dc.contributor.authorde la Cruz, Haydeé
dc.contributor.authorAltamirano, Ernesto
dc.contributor.authordel Carpio, Christian
dc.date.accessioned2020-08-17T03:07:59Z
dc.date.accessioned2022-02-22T12:13:48Z
dc.date.available2020-08-17T03:07:59Z
dc.date.available2022-02-22T12:13:48Z
dc.date.issued2020-07
dc.identifier.isbn978-958-52071-4-1
dc.identifier.issn2414-6390
dc.identifier.otherhttp://laccei.org/LACCEI2020-VirtualEdition/meta/FP92.html
dc.identifier.urihttp://dx.doi.org/10.18687/LACCEI2020.1.1.92
dc.identifier.urihttp://axces.info/handle/10.18687/20200101_92
dc.description.abstractDelays in the time of preparation of orders in a warehouse of materials and construction tools affect delivery times, which affects the level of service and consequently the loss of customers. This, due to the waste in the existing system such as the lack of planning of the process inputs, inefficient procedures, lack of organization and total cleaning. Therefore, this document proposes the application of a Lean Model of picking based on Heijunka, Kanban, 5S and JIT techniques, to eliminate waste (time, movement and inventory). After proposing the improvements, support was made in a stochastic tool to validate the changes with respect to the current situation. Consequently, significant improvements were observed, particularly in the collector's load, reducing its load by 56.29%, eliminating the waiting times for requirements and increasing the orders served. This leads to the improvement of the productivity of the picking operation at 47.07%, resulting in timely deliveries.en_US
dc.language.isoEnglishen_US
dc.publisherLACCEI Inc.en_US
dc.rightsLACCEI License
dc.rights.urihttps://laccei.org/blog/copyright-laccei-papers/
dc.subjectLean techniquesen_US
dc.subjectpickingen_US
dc.subjectHeijunkaen_US
dc.subjectKanbanen_US
dc.subject5Sen_US
dc.subjectJITen_US
dc.subjectconstructionen_US
dc.titleLean model to reduce picking time delays through Heijunka, Kanban, 5S and JIT in the construction sector
dc.typeArticleen_US
dc.description.countryPeruen
dc.description.institutionUniversidad Peruana de Ciencias Aplicadas (UPC)en
dc.description.trackEngineering Infrastructure, Construction Engineering, Logistics and Transportation, and Qual. Assur.en
dc.journal.referatopeerReview


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  • 2020 LACCEI - Virtual Edition
    The Eighteen LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology.

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