使用模糊 DEMATEL 方法为精益六西格玛集成选择工业 4.0 技术

IF 4.7 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-01-18 DOI:10.1108/ijlss-05-2023-0090
Arish Ibrahim, Gulshan Kumar
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引用次数: 0

摘要

本研究采用模糊决策试验和评估实验室方法,以确定可与精益六西格玛方法相协调的关键工业 4.0 技术,从而改进制造业的流程。研究结果研究表明,建模和仿真、人工智能(AI)和机器学习、大数据分析、自动化和工业机器人以及智能传感器等关键技术与精益六西格玛相结合,对实现卓越运营至关重要。进一步的研究可以探讨实施方面的挑战以及这种整合的量化效益。实践意义将工业 4.0 技术与精益六西格玛相结合可提高制造效率。这种方法利用人工智能进行预测分析,使用智能传感器提高能效,使用适应性强的机器人进行柔性生产。社会影响工业 4.0 技术与精益六西格玛在制造业中的融合具有重要的社会影响。它促进了高科技行业的就业,要求劳动力具备先进的技能发展和持续学习能力。这种转变促进了以知识为基础的创新型经济,有可能缩小技能差距。此外,工业 4.0 还能通过自动化提高工作场所的安全性,减少工人的危险工作,并通过优化资源利用和减少制造流程中的浪费,促进环境的可持续发展。研究结果可指导各行业确定采用技术的优先次序,以实现持续改进。
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Selection of Industry 4.0 technologies for Lean Six Sigma integration using fuzzy DEMATEL approach
Purpose This study aims to explore the integration of Industry 4.0 technologies with lean six sigma practices in the manufacturing sector for enhanced process improvement. Design/methodology/approach This study used a fuzzy decision-making trial and evaluation laboratory approach to identify critical Industry 4.0 technologies that can be harmonized with Lean Six Sigma methodologies for achieving improved processes in manufacturing. Findings The research reveals that key technologies such as modeling and simulation, artificial intelligence (AI) and machine learning, big data analytics, automation and industrial robots and smart sensors are paramount for achieving operational excellence when integrated with Lean Six Sigma. Research limitations/implications The study is limited to the identification of pivotal Industry 4.0 technologies for Lean Six Sigma integration in manufacturing. Further studies can explore the implementation challenges and the quantifiable benefits of such integrations. Practical implications Integrating Industry 4.0 technologies with Lean Six Sigma enhances manufacturing efficiency. This approach leverages AI for predictive analysis, uses smart sensors for energy efficiency and adaptable robots for flexible production. It is vital for competitive advantage, significantly improving decision-making, reducing costs and streamlining operations in the manufacturing sector. Social implications The integration of Industry 4.0 technologies with Lean Six Sigma in manufacturing has significant social implications. It promotes job creation in high-tech sectors, necessitating advanced skill development and continuous learning among the workforce. This shift fosters an innovative, knowledge-based economy, potentially reducing the skills gap. Additionally, it enhances workplace safety through automation, reduces hazardous tasks for workers and contributes to environmental sustainability by optimizing resource use and reducing waste in manufacturing processes. Originality/value This study offers a novel perspective on synergizing advanced Industry 4.0 technologies with established Lean Six Sigma practices for enhanced process improvement in manufacturing. The findings can guide industries in prioritizing their technological adoptions for continuous improvement.
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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