Proposal the application of DMAIC tools and value stream mapping under the perspective of the lean philosophy for process improvement: a case study

Authors

  • Jefferson de Souza Pinto University of Campinas (UNICAMP) and Federal Institute of Education, Science and Technology of São Paulo (IFSP) http://orcid.org/0000-0002-8065-3938
  • Luan Aoki Schuwarten Federal Institute of Education, Science and Technology of São Paulo (IFSP)
  • Gilberto Cassoli de Oliveira Júnior Federal Institute of Education, Science and Technology of São Paulo (IFSP)
  • Olívio Novaski University of Campinas (UNICAMP)

DOI:

https://doi.org/10.14488/BJOPM.2017.v14.n4.a11

Keywords:

Lean Tools, Value Stream Mapping, Six Sigma, DMAIC, Process Improvement.

Abstract

After a recent merger, the in vitro diagnostic equipment trade company in Brazil, study object, faces difficulties for its logistics flow. The work proposes the application of the DMAIC tools, contained in the context of the six sigma, and Value Stream Mapping (VSM) under the lean philosophy perspective in order to identify the focus of waste that can be improved, corroborating with lean thinking. Unlike the common application of VSM, used in manufacturing processes, this study has its application in a service chain. From the Methodology point of view, the case study uses a qualitative approach, having as strategy the bibliographics with a descriptive and explanatory objective. Additionally, it is delineated based on the DMAIC cycle to establish the industrial overview and method of conducting the process study, and consequently, the influence on the management by the guidelines and their impact on the management of the work routine. Thus, the VSM application is presented to control the flow of distributed inventory parts with the current and future process state maps. Finally, the analyzes show the results obtained with the reduction of the waste, from the centralization of the company's inventory.

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Author Biographies

Jefferson de Souza Pinto, University of Campinas (UNICAMP) and Federal Institute of Education, Science and Technology of São Paulo (IFSP)

Pós-doutorando em Engenharia Mecânica pela Universidade Estadual de Campinas com pesquisa na área de Gestão de Projetos (atual).

 

Pós-doutor em Engenharia Mecânica pela Universidade Estadual de Campinas com pesquisa na área de Gestão de Projetos (2014).

Doutor em Engenharia Mecânica pela Universidade Estadual de Campinas com pesquisa na área de Gestão de Projetos (2012).

Mestre em Engenharia Mecânica pela Universidade Estadual de Campinas (2004) com pesquisa na área de inovação.

Especialista em Gestão de Processos Industriais pela Universidade Estadual de Campinas (2002).

Licenciado em Matemática pela Universidade de Franca (2013).

Graduação em Administração de Empresas pela Universidade São Francisco (1999).

Atualmente, professor concursado e Coordenador do Curso de Tecnologia em Análise e Desenvolvimento de Sistemas do Instituto Federal de São Paulo - Campus Bragança Paulista.

Tem experiência na área de Administração, com ênfase em Administração da Produção, Logística, Matemática Financeira, Matemática Aplicada e Estatística, atuando principalmente nos seguintes temas: Administração da Produção, Logística, Qualidade, Inovação e Gestão de Projetos.

Luan Aoki Schuwarten, Federal Institute of Education, Science and Technology of São Paulo (IFSP)

Graduando em Engenharia de Controle e Automação.

Graduado em Tecnologia em Mecatrônica Industrial

Gilberto Cassoli de Oliveira Júnior, Federal Institute of Education, Science and Technology of São Paulo (IFSP)

Graduando em Tecnologia em Mecatrônica Industrial

Olívio Novaski, University of Campinas (UNICAMP)

Professor Doutor  do Departamento de Engenharia de Manufatura e Materiais da UNICAMP.

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Published

2017-12-08

How to Cite

de Souza Pinto, J., Aoki Schuwarten, L., Cassoli de Oliveira Júnior, G., & Novaski, O. (2017). Proposal the application of DMAIC tools and value stream mapping under the perspective of the lean philosophy for process improvement: a case study. Brazilian Journal of Operations & Production Management, 14(4), 556–566. https://doi.org/10.14488/BJOPM.2017.v14.n4.a11

Issue

Vol. 14 No. 4 (2017): December, 2017

Section

Articles

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