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

Abstract

© 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.

• 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
• DOI: https://doi.org/10.1080/09537287.2018.1501808
• Keywords: green Lean, Gemba-Kaizen, environmental waste
• Public URL: https://uwe-repository.worktribe.com/output/847089
• Publisher URL: https://doi.org/10.1080/09537287.2018.1501808
• 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: https://doi.org/10.1080/09537287.2018.1501808.
• Contract Date: May 23, 2019