Evolution and application of Lean manufacturing in the production industry: advances and trends (2015-2025) through neutrosophic cognitive mapping analysis of critical success factors

This article examines how Lean manufacturing evolved between 2015 and 2025—a decade marked by rapid technological disruption and the rise of artificial intelligence (AI). The research identifies critical success factors of Lean and analyzes how AI has reshaped its implementation. To address the uncertainty and complexity of expert evaluations, Neutrosophic Cognitive Mapping (NCM) is used as a methodological tool. NCM not only maps interrelated success factors but also incorporates the ambiguity inherent in human and technological assessments. Results show that AI boosts Lean’s effectiveness through predictive analytics and inventory optimization but reveals limitations when workforce training is insufficient. This intersection of Lean and AI provides valuable insights into how their convergence enhances industrial competitiveness, sustainability, and cost efficiency. While prior studies explored Lean's fundamentals, few have focused on its transformation through AI. This research fills that gap, highlighting intelligent automation as a key breakthrough and offering practical guidance for implementation in diverse manufacturing contexts. Ultimately, the study contributes both theoretically and practically, helping industries adopt Lean practices for an AI-driven world.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-08
DOI
https://doi.org/10.5281/zenodo.15640346
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Evolution and application of Lean manufacturing in the production industry: advances and trends (2015-2025) through neutrosophic cognitive mapping analysis of critical success factors

Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

Evolution and application of Lean manufacturing in the production industry: advances and trends (2015-2025) through neutrosophic cognitive mapping analysis of critical success factors

article en

Abstract

This article examines how Lean manufacturing evolved between 2015 and 2025—a decade marked by rapid technological disruption and the rise of artificial intelligence (AI). The research identifies critical success factors of Lean and analyzes how AI has reshaped its implementation. To address the uncertainty and complexity of expert evaluations, Neutrosophic Cognitive Mapping (NCM) is used as a methodological tool. NCM not only maps interrelated success factors but also incorporates the ambiguity inherent in human and technological assessments. Results show that AI boosts Lean’s effectiveness through predictive analytics and inventory optimization but reveals limitations when workforce training is insufficient. This intersection of Lean and AI provides valuable insights into how their convergence enhances industrial competitiveness, sustainability, and cost efficiency. While prior studies explored Lean's fundamentals, few have focused on its transformation through AI. This research fills that gap, highlighting intelligent automation as a key breakthrough and offering practical guidance for implementation in diverse manufacturing contexts. Ultimately, the study contributes both theoretically and practically, helping industries adopt Lean practices for an AI-driven world.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
Internet of Things and AI
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Evolution and application of Lean manufacturing in the production industry: advances and trends (2015-2025) through neutrosophic cognitive mapping analysis of critical success factors · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS