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Samir Lamouri

Researcher at Arts et Métiers ParisTech

Publications -  104
Citations -  2712

Samir Lamouri 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 18, co-authored 96 publications receiving 1852 citations. Previous affiliations of Samir Lamouri include Centre national de la recherche scientifique & École Normale Supérieure.

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The industrial management of SMEs in the era of Industry 4.0

TL;DR: The results show that SMEs do not exploit all the resources for implementing Industry 4.0 and often limit themselves to the adoption of Cloud Computing and the Internet of Things and there is still absence of real applications in the field of production planning.
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A framework for analysing supply chain performance evaluation Models

TL;DR: In this paper, the authors analyze various models used to assess supply chains by highlighting their specific characteristics and applicability in different contexts and offer an analytical grid breaking these models down into seven layers.
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Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs

TL;DR: This study demonstrates that the major risks facing the adoption of Industry 4.0 in SMEs include a lack of expertise and a short-term strategy mindset and indicates that training is the most important factor for success.
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Impacts of Industry 4.0 technologies on Lean principles

TL;DR: The objective of this article is to highlight the links between the principles and tools proposed by Industry 4.0 and those proposed by the Lean management approach, with a particular focus on how some of Industry 5.0's technologies are improving the implementation of Lean principles, depending on the technologies’ capability levels.
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Lean/Green integration focused on waste reduction techniques

TL;DR: In this article, a quantitative study of Lean/Green integration focused on waste reduction techniques in manufacturing processes is presented, and a hierarchy of progress factors for a waste minimization program in manufacturing is outlined.