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Optimization of Motorcycle Assembly Processes Based on Lean Manufacturing Tools

  • Universidad de Cuenca

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Global competition and economic dynamism force the assembly industry to look for productive philosophies of improvement, optimizing processes, and resources. The challenge in the optimization process involves finding tools that will grant an optimal process. This article proposes a process optimization through the application of Lean Manufacturing tools, with the necessary guidelines analyzed and verified by computational simulation in a motorcycle assembler. Firstly, applying a plant distribution, together with the change of productive system, allowed the reduction of distances, elimination of unnecessary movements, and reprocessing. Then, Pull System reduced the stock of both the product in process and the final product in the warehouse, avoiding the generation of future waste and expenses due to overproduction. Finally, the use of the 5S tool entailed maintaining order and cleanliness inside the plant to facilitate the management of internal resources. In the study reported, an average reduction of 40% in assembly time and an average increase in production of 30% of all motorcycle models that were part of the study are achieved.

Original languageEnglish
Title of host publicationAdvances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019
EditorsJyrki Nummenmaa, Federico Pérez-González, Bruno Domenech-Lega, Jean Vaunat, Félix Oscar Fernández-Peña
PublisherSpringer
Pages247-259
Number of pages13
ISBN (Print)9783030336134
DOIs
StatePublished - 2020
Event1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019 - Ambato, Ecuador
Duration: 28 Oct 201931 Oct 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1078
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019
Country/TerritoryEcuador
CityAmbato
Period28/10/1931/10/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Assembly industries
  • Lean Manufacturing
  • Optimization process

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