维护交付的可定制的实践框架

IF 1.8 Q3 ENGINEERING, INDUSTRIAL Journal of Quality in Maintenance Engineering Pub Date : 2021-01-11 DOI:10.1108/JQME-03-2018-0023
Philip James Catt
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引用次数: 0

摘要

范围——本研究的重点是开发一个可定制的维护交付实践框架(MD):即一个灵活的业务流程设计工具,旨在解决赞助商资产管理系统(AMS)中发现的一系列具体差距。方法论——该框架分两个阶段开发:首先,通过对文献中现有MD实践的系统审查,以建立初步版本;然后通过德尔菲研究进一步发展,利用行业专家的意见来批评和改进最初的框架设计。关键发现——该框架在赞助公司实施和测试,以证明其在不同行业背景下成功改进多个站点MD实践的能力。实施后评估显示,情况有了显著改善,足以弥补最初发现的所有高风险缺口。对行业的贡献——该框架详细涵盖了医学博士的整个主题领域,并提供了广泛的可选实践,并配有专家指导,以促进决策过程。这意味着任何企业都可以利用它来设计一个有效的MD流程,该流程适合他们的特定环境。除了量身定制的MD流程外,该框架还将为支持CMMS(计算机化维护管理系统)生成一个完全一致的实施规范,该规范也是根据相同的上下文要求量身定制的。这将使框架的最终用户能够采购、实施和配置CMMS,该CMMS具有完全支持其业务需求所需的完整功能范围。创新——一个灵活到可以在许多不同行业中使用的可定制框架是新颖的,因为现有的MD流程通常是为单个特定案例设计的,无法适应不同的环境。该框架的规模和范围也验证了创新主张——即一系列涵盖多个AM主题领域的流程图,包括157个核心流程步骤、109个上下文选项和30000多字的指导。该框架已被成功用于在非常特定的背景下(即维护密集、高度监管、劳动力相对较少的核电站)制定和实施有效的MD流程,这一事实进一步强化了创新的主张。
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A tailorable framework of practices for maintenance delivery
Scope – This research focused on the development of a tailorable framework of practices for Maintenance Delivery (MD): i.e. a flexible business process design tool which was developed in order to resolve a series of specific gaps identified in the sponsor’s Asset Management System (AMS). Methodology – The framework was developed in two stages: firstly via a systematic review of existing MD practices from the literature in order to establish a preliminary version; this was then developed further via a Delphi study utilising the opinion of experts from industry to critique and improve the initial framework design. Key Findings – The framework was implemented and tested in the sponsor company in order to demonstrate its ability to successfully improve MD practices across multiple sites in different industry contexts. A post-implementation assessment demonstrated significant improvement, sufficient to close all of the high-risk gaps that were originally identified. Contribution to Industry – The framework covers the entire subject area of MD in detail and offers a wide range of optional practices throughout, complete with expert guidance to facilitate the decision-making process. This means it can be utilised by any business to design an effective MD process that is tailored to suit their specific context. Alongside a tailored MD process, the framework will also generate a fully aligned implementation specification for the supporting CMMS (Computerised Maintenance Management System), which is also tailored according to the same contextual requirements. This will enable the end user of the framework to procure, implement and configure a CMMS that has the complete range of functionality required to fully support their business requirements. Innovation – A tailorable framework that is flexible enough to be utilised in many different industries is novel, because existing MD processes are generally designed for a single, specific case and cannot adapt to different contexts. The size and scope of the framework also validates the innovation claim – i.e. a series of flowcharts covering multiple AM subject areas, with 157 core process steps, 109 contextual options, and 30,000+ words of guidance. The fact that framework has already been successfully utilised to develop and implement an effective MD process in a very specific context (i.e. a maintenance-intensive, highly regulated nuclear site with a relatively small workforce) further strengthens the claim for innovation.
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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
期刊最新文献
Spare parts management in industry 4.0 era: a literature review Data-driven decision-making in maintenance management and coordination throughout the asset life cycle: an empirical study Joint maintenance planning and production scheduling optimization model for green environment Identification of optimal maintenance parameters for best maintenance and service management system in the SMEs Modeling and solving the multi-objective energy-efficient production planning and scheduling with imperfect maintenance activities
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