Reduction of Excess Waste through Lean Manufacturing and SLP Tools in a Peruvian Balanced Food SME

Alberto Flores-Perez, Valeria Poma-Cornejo, Stefanie Vargas-Balbin

Research output: Chapter in Book/Report/Conference proceedingPaper (Conference contribution)peer-review

Abstract

Currently, due to the high industrial competitiveness, for the SME in the balanced food sector to stay afloat, it is essential to minimize their costs. To do this, they must be able to improve the efficiency of their production processes, an achievable goal from the reduction of waste. This research will abroad this problem with a new model composed of 4 tools: SLP, 5S, TPM and Standard Work; and the validation of this, through a pilot test for 5S and the use of the Arena simulator to validate all the tools together. In this way, the use of the tools made it possible to improve each of the proposed indicators to solve all the root causes, achieving most of the objectives that were set out in the case study. Finally, after carrying out this study, it was concluded that the combination of the SLP and Lean Manufacturing tools allow reducing the amount of waste below the industry standard, decreasing by around 1.65%.

Translated title of the contributionReducción del Exceso de Desperdicio a través de Herramientas de Manufactura Esbelta y SLP en una PYME Peruana de Alimentos Balanceados
Original languageEnglish
Title of host publicationProceedings of the 2023 10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023
PublisherAssociation for Computing Machinery
Pages107-113
Number of pages7
ISBN (Electronic)9781450398527
DOIs
StatePublished - 9 Jan 2023
Event10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023 - Rome, Italy
Duration: 9 Jan 202311 Jan 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023
Country/TerritoryItaly
CityRome
Period9/01/2311/01/23

Keywords

  • 5S
  • SLP
  • Standard Work
  • TPM
  • Waste

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