A structured digital twinning approach to improve decision-making in manufacturing SMEs

IF 4.6 2区 工程技术 Q2 ENGINEERING, MANUFACTURING
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引用次数: 0

Abstract

Companies aim to adapt their shopfloors to increase the efficiency and effectiveness of their production activities, adding value to their shopfloor. However, it has become increasingly challenging to obtain an accurate and comprehensive overview of the shop floor and organisation, leading to difficulties in making operational, tactical, and strategic decisions. Existing methods to support such companies either restrict access to information or pre-determine the perspectives on the information for decision-making. This research employs a research-by-design approach to develop the digital twinning approach that can facilitate companies to develop a solution that can provide the appropriate information at the right moment and in the right perspective. To structure the digital twinning approach, key functions in the approach are outlined in a functional architecture. Two case studies demonstrate and verify the applicability and added value of the architecture in developing an information provisioning solution. The positive outcomes and experiences from these case studies highlight the potential of the digital twinning approach to facilitate companies in developing adaptable and company-specific solutions to enhance decision-making processes.
改进制造业中小企业决策的结构化数字结对方法
企业的目标是调整车间,提高生产活动的效率和效益,增加车间的价值。然而,要获得车间和组织的准确而全面的概况已变得越来越具有挑战性,从而导致在制定运营、战术和战略决策时遇到困难。支持这类公司的现有方法要么限制信息的获取,要么预先确定决策信息的视角。本研究采用 "通过设计进行研究 "的方法来开发数字孪生方法,这种方法可以帮助企业开发出一种解决方案,在正确的时刻以正确的视角提供适当的信息。为了构建数字孪生方法,在功能架构中概述了该方法的关键功能。两个案例研究展示并验证了该架构在开发信息提供解决方案中的适用性和附加值。这些案例研究的积极成果和经验凸显了数字孪生方法的潜力,有助于公司开发适应性强、针对公司具体情况的解决方案,以加强决策过程。
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来源期刊
CIRP Journal of Manufacturing Science and Technology
CIRP Journal of Manufacturing Science and Technology Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
6.20%
发文量
166
审稿时长
63 days
期刊介绍: The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.
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