An implementation model for digitisation of visual management to develop a smart manufacturing process

IF 3.8 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Anna Trubetskaya, A. Ryan, Frank Murphy
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引用次数: 2

Abstract

Purpose This paper aims to introduce a model using a digital twin concept in a cold heading manufacturing and develop a digital visual management (VM) system using Lean overall equipment effectiveness (OEE) tool to enhance the process performance and establish Fourth Industrial Revolution (I4.0) platform in small and medium enterprises (SMEs). Design/methodology/approach This work utilised plan, do, check, act Lean methodology to create a digital twin of each machine in a smart manufacturing facility by taking the Lean tool OEE and digitally transforming it in the context of I4.0. To demonstrate the effectiveness of process digitisation, a case study was carried out at a manufacturing department to provide the data to the model and later validate synergy between Lean and I4.0 platform. Findings The OEE parameter can be increased by 10% using a proposed digital twin model with the introduction of a Level 0 into VM platform to clearly define the purpose of each data point gathered further replicate in projects across the value stream. Research limitations/implications The findings suggest that researchers should look beyond conversion of stored data into visualisations and predictive analytics to improve the model connectivity. The development of strong big data analytics capabilities in SMEs can be achieved by shortening the time between data gathering and impact on the model performance. Originality/value The novelty of this study is the application of OEE Lean tool in the smart manufacturing sector to allow SME organisations to introduce digitalisation on the back of structured and streamlined principles with well-defined end goals to reach the optimal OEE.
一种开发智能制造过程的可视化管理数字化实施模型
目的本文旨在介绍一种在冷镦生产中使用数字孪生概念的模型,并使用精益整体设备有效性(OEE)工具开发一个数字视觉管理(VM)系统,以提高工艺性能,并在中小企业中建立第四次工业革命(I4.0)平台,检查、行动精益方法,通过采用精益工具OEE并在I4.0的背景下对其进行数字化改造,在智能制造设施中创建每台机器的数字孪生。为了证明流程数字化的有效性,在一个制造部门进行了一项案例研究,为模型提供数据,随后验证精益和I4.0平台之间的协同作用。发现使用拟议的数字孪生模型,在VM平台中引入0级,可以将OEE参数增加10%,以明确定义收集的每个数据点的目的,从而在整个价值流的项目中进一步复制。研究局限性/含义研究结果表明,研究人员应该超越将存储的数据转换为可视化和预测分析,以提高模型的连接性。中小企业强大的大数据分析能力的发展可以通过缩短数据收集和影响模型性能之间的时间来实现。独创性/价值本研究的新颖之处在于OEE精益工具在智能制造领域的应用,使中小企业组织能够在结构化和精简的原则基础上引入数字化,并制定明确的最终目标,以达到最佳OEE。
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来源期刊
International Journal of Lean Six Sigma
International Journal of Lean Six Sigma Engineering-Industrial and Manufacturing Engineering
CiteScore
8.90
自引率
15.00%
发文量
46
期刊介绍: Launched in 2010, International Journal of Lean Six Sigma publishes original, empirical and review papers, case studies and theoretical frameworks or models related to Lean and Six Sigma methodologies. High quality submissions are sought from academics, researchers, practitioners and leading management consultants from around the world. Research, case studies and examples can be cited from manufacturing, service and public sectors. This includes manufacturing, health, financial services, local government, education, professional services, IT Services, transport, etc.
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