Analysing Lean 4.0 Adoption Factors Towards Manufacturing Sustainability in SMEs: A Hybrid ANN-Fuzzy ISM Framework DOI
Karishma M. Qureshi, Bhavesh G. Mewada, Alok Yadav

и другие.

Опубликована: Апрель 10, 2025

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

Язык: Английский

Exploring the Role of Life Cycle Thinking in Developing Supply Chains Aligned With Sustainable Development Goals DOI Open Access
Ana Mariele Domingues, Jacqueline de Almeida Barbosa Franco, Pedro Augusto Bertucci Lima

и другие.

Business Strategy & Development, Год журнала: 2025, Номер 8(1)

Опубликована: Март 1, 2025

ABSTRACT Sustainable Supply Chain Management (SSCM) principles and practices contribute to achieving the Development Goals (SDG). However, role of Life Cycle Thinking (LCT) tools how they can strengthen achievement SSCM‐oriented SDG has been little explored. This study aims review literature that intersects themes SSCM, SDG, LCT investigate in SDG. The dynamic capabilities (DC) perspective is theoretical lens understand organizations sense, seize, reconfigure resources address challenges changeable environments as sustainable supply chains require. A systematic supported by PRISMA protocol structured content analysis was conducted. results show be used evaluate environmental, social, economic aspects just one or impact categories each tool linked different evaluation contribution SSCM using occurs two ways: (i) assessments analyze qualitatively; (ii) linking (midpoint endpoint) indicators from directly specific indicators, goals, which makes assessment clearer. provide information improve 17 DC help achieve an analytical for requires further investigation. To this end, a research agenda proposed.

Язык: Английский

Процитировано

0
Analysing Lean 4.0 Adoption Factors Towards Manufacturing Sustainability in SMEs: A Hybrid ANN-Fuzzy ISM Framework DOI
Karishma M. Qureshi, Bhavesh G. Mewada, Alok Yadav

и другие.

Опубликована: Апрель 10, 2025

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

Язык: Английский

Процитировано

0