Implementation and evaluation of a smart machine monitoring system under industry 4.0 concept

IF 10.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jagmeet Singh , Amandeep Singh , Harwinder Singh , Philippe Doyon-Poulin
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引用次数: 0

Abstract

Production planning and control (PPC) is essential in industrial manufacturing, ensuring efficient resource allocation and process management. Industry 4.0 introduces advanced technologies like cyber physical systems (CPS), artificial intelligence (AI), and internet of things (IoT) to effectively manage and monitor manufacturing operations. However, integrating these technologies into existing machinery, particularly for small and medium-sized enterprises (SMEs), poses challenges due to complexity and cost. The present study addresses this gap by designing and implementing a Smart Machine Monitoring System (SMMS) compatible with existing machinery such as computer numerical control and special purpose machines. The SMMS integrates IoT-based systems with AI algorithms to enhance machine tool utilization through effective planning, scheduling, and real-time monitoring. Through a nine-month case study in the shackle bolt manufacturing section, it was tested and compared to an Enterprise Resource Planning (ERP)-based system to assess its performance. Results showed significant improvements in production output, machine utilization rates, labor efficiency, and overall manufacturing costs. In conclusion, this study contributes to the body of knowledge on practical Industry 4.0 implementations for SMEs, offering insights into cost-effective solutions for enhancing operational efficiency and resource utilization in manufacturing environments.
工业4.0概念下智能机器监控系统的实施与评估
生产计划和控制(PPC)在工业制造中是必不可少的,它保证了有效的资源分配和过程管理。工业4.0引入了网络物理系统(CPS)、人工智能(AI)和物联网(IoT)等先进技术,以有效管理和监控制造运营。然而,由于复杂性和成本,将这些技术集成到现有机械中,特别是对于中小型企业(sme)来说,带来了挑战。本研究通过设计和实现与现有机器(如计算机数控和特殊用途机器)兼容的智能机器监控系统(SMMS)来解决这一差距。SMMS将基于物联网的系统与人工智能算法相结合,通过有效的规划、调度和实时监控,提高机床的利用率。通过对锁扣螺栓制造部分为期9个月的案例研究,对其进行了测试,并与基于企业资源规划(ERP)的系统进行了比较,以评估其性能。结果显示,在生产产量、机器利用率、劳动效率和总体制造成本方面都有显著改善。总之,本研究为中小企业实际实施工业4.0提供了知识体系,为提高制造环境中的运营效率和资源利用提供了具有成本效益的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Industrial Information Integration
Journal of Industrial Information Integration Decision Sciences-Information Systems and Management
CiteScore
22.30
自引率
13.40%
发文量
100
期刊介绍: The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.
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