Evidence map›Paper›PMID 40383742›Full record

ArticleScientific reports2025

Analysing Lean 4.0 adoption factors towards manufacturing sustainability in SMEs: A hybrid ANN-Fuzzy ISM framework.

Karishma M Qureshi, Bhavesh G Mewada, Alok Yadav, Naif Almakayeel, Saleh Y Alghamdi, Mohamed Rafik Noor Mohamed Qureshi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Karishma M QureshiDepartment of Mechanical Engineering, Parul Institute of Technology, Parul University, Waghodia, 391760, India. kariq18@gmail.com.ORCID http://orcid.org/0000-0002-5843-2514
Bhavesh G MewadaDepartment of Mechanical Engineering, Parul Institute of Technology, Parul University, Waghodia, 391760, India.ORCID http://orcid.org/0000-0003-0109-1795
Alok YadavDepartment of Industrial and Production Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, 144008, India.ORCID http://orcid.org/0000-0002-0943-5938
Naif AlmakayeelDepartment of Industrial Engineering, College of Engineering, King Khalid University, Saudi Arabia, 61421, Abha, Saudi Arabia.ORCID http://orcid.org/0000-0001-9461-5935
Saleh Y AlghamdiDepartment of Industrial Engineering, College of Engineering, King Khalid University, Saudi Arabia, 61421, Abha, Saudi Arabia.ORCID http://orcid.org/0000-0002-7582-339X
Mohamed Rafik Noor Mohamed QureshiDepartment of Industrial Engineering, College of Engineering, King Khalid University, Saudi Arabia, 61421, Abha, Saudi Arabia.ORCID http://orcid.org/0000-0002-9508-8724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Manufacturing industries across the globe are undergoing a digital transformation that demands both efficiency and sustainability. Industry 4.0 (I4.0) and Lean 4.0 (L4.0) methodologies have become focal points in these efforts. Despite widespread recognition of the benefits of integrating L4.0 and I4.0, more studies need to address the practical challenges of this integration, especially the key factors that influence its successful implementation. Small and medium-sized enterprises (SMEs) in emerging economies often face significant challenges in integrating L4.0 practices due to resource limitations and complex operational challenges. This study bridges a critical research gap by proposing an integrated framework that combines Artificial Neural Networks (ANN) with fuzzy Interpretive Structural Modeling (FISM) to identify and prioritise the critical success factors (CSFs) for L4.0 adoption. A survey of 216 manufacturing SMEs was used to validate these CSFs through Exploratory Factor Analysis (EFA). The ANN analysis revealed that Process Factors have the highest influence with normalised importance (NI) of 100%, followed by Organizational Factors (NI = 60.46%), Human Factors (NI = 58.93%), Technological Factors (NI = 43.21%), External Factors (NI = 42.13%), and Environmental Factors (NI = 39.63%). Complementary FISM and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analyses further structured these relationships, underscoring the key roles of Change Management, Organizational Culture, Waste Reduction, and Regulatory Compliance. These findings offer both a theoretical advancement in understanding complex CSF interactions and practical guidance for SMEs striving to achieve sustainable manufacturing practices.

Indexed as

ANNCritical success factorsFuzzy ISMIndustry 4.0Lean 4.0Manufacturing sustainabilitySMEs

Identifiers

PMID40383742
PMCPMC12086200

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.