Logistics Management Model to reduce non-conforming orders through Lean Warehouse and JIT: A case of study in textile SMEs in Peru

Jose Coronel-Vasquez, Dhara Huamani-Lara, Alberto Flores-Perez, Martin Collao-Diaz, Juan Quiroz-Flores

Research output: Chapter in Book/ReportConference contributionpeer-review

9 Scopus citations

Abstract

The textile sector has a large share in the Peruvian manufacturing industry, dominated by SMEs. However, the segment has been facing a slowdown in growth, intensified by the partial inoperability of commercial enterprises. Under this scenario, there is a need to improve its competitiveness by optimizing the material supply process, as this is the stage that generates a large number of non-conforming orders and delays in the entry of production. Therefore, an optimize model using Just-In-Time and Lean Warehouse has been proposed to reduce backorders, shorten delivery times and minimize the input of defective materials. Along with 5S methodology to organize the warehouse and supplier assessment, ensured a long lasting solution. After the simulation made by the software Arena with the proposed model, it was possible to reduce the number of non-optimal orders by 55% and increase process efficiency by 5.97% by reducing procurement lead time. Furthermore, it represents a reduction in the purchasing cost of 40.55%.

Original languageAmerican English
Title of host publication2022 9th International Conference on Industrial Engineering and Applications (Europe), ICIEA 2022-Europe
PublisherAssociation for Computing Machinery
Pages19-24
Number of pages6
ISBN (Electronic)9781450396059
DOIs
StateIndexed - 12 Jan 2022
Externally publishedYes
Event9th International Conference on Industrial Engineering and Applications, ICIEA 2022-Europe - Barcelona, Spain
Duration: 12 Jan 202214 Jan 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference9th International Conference on Industrial Engineering and Applications, ICIEA 2022-Europe
Country/TerritorySpain
CityBarcelona
Period12/01/2214/01/22

Bibliographical note

Publisher Copyright:
© 2022 ACM.

Keywords

  • 5S
  • Just-in-Time
  • Lean Warehouse
  • Procurement
  • Small and Medium Enterprises

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