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Green and lean: a Gemba–Kaizen model for sustainability enhancement

Cherrafi, Anass; Elfezazi, Said; Hurley, Brion; Garza-Reyes, Jose Arturo; Kumar, Vikas; Anosike, Anthony; Batista, Luciano


Anass Cherrafi

Said Elfezazi

Brion Hurley

Jose Arturo Garza-Reyes

Anthony Anosike

Luciano Batista


© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Despite the encouraging results obtained from the application of Green Lean, organizations have found the integration of Green and Lean, and their implementation as an integrated approach, challenging. This paper therefore presents a model for integrating Lean and Green based on the Gemba-Kaizen approach. The proposed model was developed on the basis of a through literature review on Gemba and Kaizen, conducted on peer reviewed journal articles and pragmatic books, and the more than 40 years of accumulated experience of the authors as academics, researchers, industrialists and consultants. The model was validated through two cases study in the aerospace and automotive industries. The results showed that the proposed model helped the case organizations to reduce the consumption of resources and improve their environmental performance. The proposed model can be the basis for further research on Lean and Green, contributing to help organizations to improve their sustainability performance.


Cherrafi, A., Elfezazi, S., Hurley, B., Garza-Reyes, J. A., Kumar, V., Anosike, A., & Batista, L. (2019). Green and lean: a Gemba–Kaizen model for sustainability enhancement. Production Planning and Control, 30(5-6), 385-399.

Journal Article Type Article
Acceptance Date Nov 18, 2017
Online Publication Date May 10, 2019
Publication Date Apr 26, 2019
Deposit Date May 23, 2019
Publicly Available Date Apr 27, 2020
Journal Production Planning and Control
Print ISSN 0953-7287
Electronic ISSN 1366-5871
Publisher Taylor & Francis
Peer Reviewed Peer Reviewed
Volume 30
Issue 5-6
Pages 385-399
Keywords green Lean, Gemba-Kaizen, environmental waste
Public URL
Publisher URL
Additional Information Additional Information : This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 10th May 2019, available online:


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