维修工作管理流程模型:结合系统动力学和4IR技术

IF 1.8 Q3 ENGINEERING, INDUSTRIAL Journal of Quality in Maintenance Engineering Pub Date : 2023-05-26 DOI:10.1108/jqme-10-2022-0063
M. Manenzhe, A. Telukdarie, M. Munsamy
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引用次数: 1

摘要

本文的目的是提出一个包含第四次工业革命(4IR)技术的维修工作管理系统动态模拟过程模型。设计/方法论/方法现有的物理资产维护文献描述了不良的维护管理主要是因为缺乏明确定义的维护工作管理过程模型,从而导致维护工作管理不善。本文采用概念过程建模和结合4IR技术的系统动力学仿真相结合的方法解决了这一复杂现象。维护工作管理流程及其对计划维护任务和非计划维护任务的控制行为进行了建模,并使用数字镜头(4IR技术)复制了用于预测性维护策略的真实场景。因此,将维修工作管理过程建模并模拟为一个动态系统。模型验证后,本研究表明,可以使用系统动力学建模来复制现实世界的维护工作管理过程。第四次工业革命技术对维修工作管理系统的影响分析表明,第四次工业革命技术的实施增强了资产绩效,总体收益为27.46%,产生了最佳的维修指数。该研究进一步表明,4IR技术的好处对设备故障前的缺陷预测产生了积极影响,从而产生了预测性维护策略。研究局限/启示本研究主要集中在维修工作管理系统,而没有考虑维修成本、生产动态和供应链管理等其他子系统。实际意义维护真实世界的定量数据来自A公司的两个维护部门,为期24个月,代表2017年和2018年。检索到的维修定量数据代表了地下矿山使用的六种不同类型的设备。维修管理中的维修管理定性数据(组织文档)分别取自A公司和B公司。A公司是全球性的采矿业,B公司是全球性的制造业。模型验证中使用的数据的可靠性对维护工作管理系统如何在实施4IR技术的过程中发挥作用具有实际意义。社会意义本研究对资产管理产生了整体效益,从而强化了资产绩效。预期的学习将有利于未来在实物资产管理领域的研究,最重要的是对实物资产管理的行业从业者。原创性/价值本文提供了一个模型,在该模型中,维护工作及其动态被系统地管理。不可控的纠正性维护工作增加了整体维护工作管理的复杂性。结合4IR技术的系统动态模型和仿真的使用增加了维护工作管理效率的价值。
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Maintenance work management process model: incorporating system dynamics and 4IR technologies
PurposeThe purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.Design/methodology/approachThe extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.FindingsA process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.Research limitations/implicationsThe study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.Practical implicationsThe maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.Social implicationsThis research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.Originality/valueThis paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work management. The use of a system dynamic model and simulation incorporating 4IR technologies adds value on the maintenance work management effectiveness.
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来源期刊
Journal of Quality in Maintenance Engineering
Journal of Quality in Maintenance Engineering Engineering-Safety, Risk, Reliability and Quality
CiteScore
4.00
自引率
13.30%
发文量
24
期刊介绍: This exciting journal looks at maintenance engineering from a positive standpoint, and clarifies its recently elevatedstatus as a highly technical, scientific, and complex field. Typical areas examined include: ■Budget and control ■Equipment management ■Maintenance information systems ■Process capability and maintenance ■Process monitoring techniques ■Reliability-based maintenance ■Replacement and life cycle costs ■TQM and maintenance
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