Sustainability in Industry 4.0: Edge Computing Microservices as a New Approach DOI Open Access
Leandro Colevati dos Santos, Maria Lúcia Pereira da Silva, Sebastião G. Dos Santos Filho

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11052 - 11052

Published: Dec. 17, 2024

The importance of the electronics sector in modern world is unquestionable, as it demonstrates clean technology, dry processes, and efficient design, which favor Industry 4.0 sustainability. Nonetheless, large number instruments developed, their correspondent quick obsolescence, imply an increment electronic waste. Therefore, this work, with aim diminishing we developed customized one application that runs independently systems takes advantage existing computing structures. a new edge structure (the AIFC) based on enterprise service bus (ESB) decentralized microservices. In study, conducted action research involving collaboration researchers practitioners, tests involved six different scenarios; they used low-cost, basic environments ranged from proof concept, prototype, minimum viable product, scalability to roadmap for implementation. scenarios emulated sections small medium-sized (SME), all microservices communicate each other perform data filtering, processing, storage, query, sensor acquisition. results show possible carry out these functions low latency without any decrement or even increase performance when compared more conventional cloud structures, also manipulate products do not have single, consolidated Moreover, there no need update machines communication are main factors rapid obsolescence. following steps AIFC development, concept product correspond sustainable solution important tool both SMEs.

Language: Английский

Assessing Lean 4.0 critical success factors (CSFs) for implementing in small and medium-sized enterprises (SMEs) DOI Creative Commons
Karishma M. Qureshi,

Bhavesh G. Mewada

Frontiers in Engineering and Built Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 22, 2025

Purpose The present research identifies and prioritizes the critical success factors (CSFs) for Lean 4.0 (L4.0) implementation in small medium enterprises (SMEs). L4.0 integrates principles with Industry (I4.0) technologies, instance wireless networks, Internet of things (IoT), big data, cloud computing (CC), etc., offering significant opportunities to enhance operational efficiency by reducing non-value-adding activities. Design/methodology/approach This adopts “Fuzzy Decision-Making Trial Evaluation Laboratory (FDEMATEL)” methodology examine assess connections between CSFs implementation. Data were gathered from SMEs using qualitative quantitative approaches ensure comprehensive insights into enablers adoption. Findings study Top Management Support Commitment, Employee Training Financial Capabilities as most important adoption SMEs. These significantly impact process, providing actionable SME leaders overcome challenges optimize strategies. Originality/value contributes growing knowledge highlighting key relevant SMEs, a sector often constrained resources but crucial economic development. findings provide practical roadmap entrepreneurs achieve excellence competitiveness through effective

Language: Английский

Citations

1

Artificial intelligence applications for information management in sustainable supply chain management: A systematic review and future research agenda DOI Creative Commons
Alok Yadav, Rajiv Kumar Garg, Anish Sachdeva

et al.

International Journal of Information Management Data Insights, Journal Year: 2024, Volume and Issue: 4(2), P. 100292 - 100292

Published: Sept. 30, 2024

Language: Английский

Citations

5

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

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 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.

Language: Английский

Citations

0

Unlocking Net-Zero Supply Chain Performance System Through Life Cycle Assessment: Empirical Evidence from Rubber Industry DOI Creative Commons
Alok Yadav, Anish Sachdeva, Rajiv Kumar Garg

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(21), P. e39944 - e39944

Published: Oct. 30, 2024

Language: Английский

Citations

2

Sustainability in Industry 4.0: Edge Computing Microservices as a New Approach DOI Open Access
Leandro Colevati dos Santos, Maria Lúcia Pereira da Silva, Sebastião G. Dos Santos Filho

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11052 - 11052

Published: Dec. 17, 2024

The importance of the electronics sector in modern world is unquestionable, as it demonstrates clean technology, dry processes, and efficient design, which favor Industry 4.0 sustainability. Nonetheless, large number instruments developed, their correspondent quick obsolescence, imply an increment electronic waste. Therefore, this work, with aim diminishing we developed customized one application that runs independently systems takes advantage existing computing structures. a new edge structure (the AIFC) based on enterprise service bus (ESB) decentralized microservices. In study, conducted action research involving collaboration researchers practitioners, tests involved six different scenarios; they used low-cost, basic environments ranged from proof concept, prototype, minimum viable product, scalability to roadmap for implementation. scenarios emulated sections small medium-sized (SME), all microservices communicate each other perform data filtering, processing, storage, query, sensor acquisition. results show possible carry out these functions low latency without any decrement or even increase performance when compared more conventional cloud structures, also manipulate products do not have single, consolidated Moreover, there no need update machines communication are main factors rapid obsolescence. following steps AIFC development, concept product correspond sustainable solution important tool both SMEs.

Language: Английский

Citations

0