Proposition of a hierarchical model for lean implementation in organizations

Authors

  • Ananda Santa Rosa Santos Department of Production Engineering, Universidade Federal de Ouro Preto (UFOP), João Monlevade, MG, Brazil
  • Luciana Paula Reis Department of Production Engineering, Universidade Federal de Ouro Preto (UFOP), João Monlevade, MG, Brazil
  • June Marques Fernandes Department of Production Engineering, Universidade Federal de Ouro Preto (UFOP), João Monlevade, MG, Brazil
  • José Eugênio Paceli Lopes Júnior Department of Production Engineering, Universidade Federal de Ouro Preto (UFOP), João Monlevade, MG, Brazil

DOI:

https://doi.org/10.70917/ijcisim-2026-5594

Keywords:

Lean, model, implementation, phases, practices, factors

Abstract

The process of implementing the lean philosophy, through its different phases, consists of a set of practices and factors that contribute to its operationalization. The literature review showed a lack of studies that address implementation models exploring the integration between phases, practices, and factors that influence implementation success. The objective of this study is to propose a hierarchical model for lean implementation that includes the phases, practices, and factors affecting its implementation. The approach adopted was a Systematic Literature Review (SLR), considering articles published between 2017 and 2025 in the Scopus, Emerald, PubMed, and Web of Science databases, using the search term “lean implementation model.” Analysis of 83 articles was conducted after the PRISMA method was applied. Consequently, this study aimed to determine the phases of lean implementation, the practices used during the implementation process, and the factors influencing it.

Downloads

Download data is not yet available.

Downloads

Published

2026-07-06

How to Cite

Ananda Santa Rosa Santos, Luciana Paula Reis, June Marques Fernandes, & José Eugênio Paceli Lopes Júnior. (2026). Proposition of a hierarchical model for lean implementation in organizations. International Journal of Computer Information Systems and Industrial Management Applications, 18(7s), 1301–1315. https://doi.org/10.70917/ijcisim-2026-5594

Issue

Section

Original Articles