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Anass Cherrafi

Researcher at Arts et Métiers ParisTech

Publications -  45
Citations -  1776

Anass Cherrafi is an academic researcher from Arts et Métiers ParisTech. The author has contributed to research in topics: Supply chain & Computer science. The author has an hindex of 13, co-authored 30 publications receiving 927 citations. Previous affiliations of Anass Cherrafi include Cadi Ayyad University.

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The integration of lean manufacturing, Six Sigma and sustainability: A literature review and future research directions for developing a specific model

TL;DR: In this paper, the authors present a review and an analysis of the literature concerning a possible model for integrating three management systems: lean manufacturing, Six Sigma and sustainability, and identify new opportunities and challenges that should be addressed by future studies.
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A framework for the integration of green and lean six sigma for superior sustainability performance

TL;DR: One of the very first researches that presents a framework to integrate Green and Lean Six Sigma at a factory level, and hence offers the potential to be expanded to multiple factories or even supply chains.
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Lean, green practices and process innovation: a model for green supply chain performance.

TL;DR: In this article, the authors investigated the relationship between lean, green and process innovation practices and green supply chain (GSC) performance and found that green practices including eco-design, life cycle assessment, green manufacturing, reverse logistics, and waste management significantly and positively affect GSC performance.
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Barriers in green lean implementation: a combined systematic literature review and interpretive structural modelling approach

TL;DR: In this paper, the authors investigated the Green Lean implementation barriers and their contextual relationships and effects on the integration and deployment of this approach using a Systematic Literature Review (SLR), Interpretive Structural Modelling and fuzzy Matriced' Impacts Croise Multiplication Appliqee a UN Classement (MICMAC) analyses.