Business intelligence + lean manufacturing: a systematic literature review (2008-2018)

Authors

DOI:

https://doi.org/10.5585/exactaep.v19n1.11356

Keywords:

Business Intelligence, Lean Manufacturing, Decision-making, Systematic review

Abstract

Lean Manufacturing (LM) is a management philosophy supported by a group of techniques when combined and matured, reduce production time and cost, maximize customer value and minimize waste. For this, decision-making plays a fundamental role and becomes a critical point for this management philosophy. The Business Intelligence (BI) tool provides a data-driven approach to linking strategic business goals to managerial policies and operational action can be of great help to lean companies. Thus, the present study intends to analyze the main applications of the BI tools to support the decision making to the companies that apply the LM. With the support of the StArt, a systematic review software, an analysis of the current literature related to the research topic was done. The analysis allowed us to define BI application opportunities in companies that, in some way, use LM.

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Author Biography

Lorena Hernández Mastrapa, Universidade Metodista de Piracicaba

Possui graduação em Engenharia Industrial - Universidade Oscar Lucero Moya (2013). Mestrado em Engenharia de Produção, na área de Transporte e Logística da Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio). Atualmente é doutoranda (stricto sensu) do Programa de Pós-Graduação em Engenharia de Produção da Universidade Metodista de Piracicaba, São Paulo. Tem experiência na área de Engenharia de Produção, com ênfase em Sistemas Logísticos .

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Published

2021-03-25

How to Cite

Mastrapa, L. H., Pontes de Assumpção, M. R., & Celso de Campos, F. (2021). Business intelligence + lean manufacturing: a systematic literature review (2008-2018). Exacta, 19(1), 17–34. https://doi.org/10.5585/exactaep.v19n1.11356

Issue

Vol. 19 No. 1 (2021): (jan./mar.)

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Papers

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