Abstract
Lean Manufacturing is based on continuous improvement, aiming at optimizing the production system, eliminating waste and minimizing resources use. In this study, an in-depth analysis regarding the Lean performance evaluation methods present in the literature, as well as already implemented in the industry, is performed, focusing on the gaps of current models and needs for future ones. This paper proposes a method for Lean performance evaluation, following the robust theoretical approaches of existent assessment methods and keeping simplicity of application. The proposed method is divided into two distinct models: The Lean Assessment model and the Lean Maturity model. The Fuzzy logic is used in the models to attenuate the ambiguity and vagueness of the participants’ responses. The models’ validation was accomplished by comparing the method application in an industrial company with in loco Lean assessment.
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Acknowledgements
This work was supported by FCT, through IDMEC, under LAETA, project UID/EMS/50022/2019.
Authors gratefully acknowledge the funding of Project POCI-01-0247-FEDER-017637, cofinanced by Programa Operacional Competitividade e Internacionalização and Programa Operacional Regional de Lisboa, through Fundo Europeu de Desenvolvimento Regional (FEDER) and by National Funds through FCT—Fundação para a Ciência e Tecnologia.
Authors gratefully acknowledge the funding of Project POCI-01-0247-FEDER-024541, cofinanced by Programa Operacional Competitividade e Internacionalização and Programa Operacional Regional de Lisboa, through Fundo Europeu de Desenvolvimento Regional (FEDER) and by National Funds through FCT—Fundação para a Ciência e Tecnologia.
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Barros, M., Cecílio, H., Jorge, D., Peças, P. (2020). Lean Performance Evaluation: Models and Application. In: Rossi, M., Rossini, M., Terzi, S. (eds) Proceedings of the 6th European Lean Educator Conference. ELEC 2019. Lecture Notes in Networks and Systems, vol 122. Springer, Cham. https://doi.org/10.1007/978-3-030-41429-0_26
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DOI: https://doi.org/10.1007/978-3-030-41429-0_26
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