Optimising production efficiency: Managing flexibility in Industry 4.0 systems via simulation

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2024-09-07 DOI:10.1016/j.cie.2024.110540
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Abstract

The digital transformation, propelled by Industry 4.0, is essential for businesses to adapt to evolving market demands and sustainability pressures. This study addresses the need for improved plant optimisation by enhancing machinery and workstations through advanced digital modelling. Using the Tecnomatix Plant Simulation environment, we developed a simulation platform to assess the feasibility of a flexible production system. The model, based on a validated case study, demonstrated a 15% improvement in system performance by incorporating varying levels of machine flexibility. This improvement highlights the importance of designing production systems that can adapt to changing requirements efficiently. The study shows how increased flexibility in manufacturing environments can enhance operational efficiency and machine utilisation across different scenarios.

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优化生产效率:通过模拟管理工业 4.0 系统的灵活性
工业 4.0 推动的数字化转型对于企业适应不断变化的市场需求和可持续发展压力至关重要。本研究通过先进的数字建模技术来提高机械和工作站的性能,从而满足改进工厂优化的需求。利用 Tecnomatix 工厂仿真环境,我们开发了一个仿真平台来评估柔性生产系统的可行性。该模型以一个经过验证的案例研究为基础,通过采用不同程度的机器灵活性,证明系统性能提高了 15%。这一改进凸显了设计能够有效适应不断变化的要求的生产系统的重要性。该研究表明,提高生产环境的灵活性可以在不同情况下提高运营效率和机器利用率。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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