Prioritization of factors influencing outsourcing maintenance decisions in thermal power plants – A case study

IF 1.8 Q3 ENGINEERING, INDUSTRIAL Journal of Quality in Maintenance Engineering Pub Date : 2023-06-12 DOI:10.1108/jqme-07-2022-0040
Ja'far Alawadi, Ghaleb Yousef Abbasi, Abbas Al-Refaie
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Abstract

Purpose Although the factors that affect the decision of outsourcing are variant from one industry to another and from one application to another, this paper aims to investigate the factors that influence the decision of outsourcing using a systematic literature review (SLR) approach to fill the gap of the literature and focus on maintenance activities in terms of industrial firms. Furthermore, the analytical hierarchy process (AHP) method will be developed to prioritize the important factors according to the experts' judgments and reveal the factors' weights to support decision-makers in thermal power plants to realize the factors that have a high impact on outsourcing maintenance decisions and enhance their decision-making to increase power plant competitive advantages over quality, availability and safety requirements. Design/methodology/approach The purpose of this research is to prioritize the factors that influence outsourcing maintenance decisions to be considered by decision-makers in power plants before making a decision of outsourcing maintenance activities. In this research, an SLR approach was applied to identify the factors in terms of industry and rank them accordingly using factors' frequency process. A questionnaire survey was designed to seek the experts' opinions to prioritize the factors that influence the decision of outsourcing maintenance activities in power companies using AHP. The research found that “Improve service quality”, “acquire new skills or technical knowledge” and “Function difficult to manage” have the first priority before making the decision of outsourcing maintenance activities in the context of power plants. Findings The decision of outsourcing regarding maintenance activities in the context of industry, as well as determining the most critical factors among the extracted factors from the literature and rank them accordingly using factors' frequency process. Next, a questionnaire survey was designed and conducted to seek the experts' opinions to prioritize the factors that influence the decision of outsourcing concerning maintenance activities in thermal power companies using AHP method. According to the SLR, industrial companies are mainly pursuing outsourcing maintenance services to focus on core activities, save overall costs and improve service quality. Originality/value This is an original research paper out of an MSc thesis submitted at the Industrial Engineering Department, University of Jordan.
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影响火电厂外包维护决策因素的优先级-一个案例研究
虽然影响外包决策的因素因行业而异,因应用而异,但本文旨在利用系统文献综述(SLR)方法来研究影响外包决策的因素,以填补文献的空白,并关注工业企业的维护活动。在此基础上,采用层次分析法(AHP),根据专家的判断对重要因素进行排序,并揭示各因素的权重,以支持火电厂决策者认识到对外包维修决策影响较大的因素,提高决策能力,提高电厂在质量、可用性和安全要求方面的竞争优势。设计/方法/方法本研究的目的是为了优先考虑影响外包维修决策的因素,以便发电厂的决策者在做出外包维修活动的决策之前考虑。本研究采用单反分析法对行业因素进行识别,并利用因子的频率过程对其进行排序。采用问卷调查法,利用层次分析法对影响电力公司维修外包决策的因素进行排序,征求专家意见。研究发现,在电厂进行维修外包决策时,“提高服务质量”、“获得新技能或技术知识”和“功能难以管理”是优先考虑的因素。研究发现:在行业背景下的维修外包决策,以及从文献中提取的因素中确定最关键的因素,并使用因素频率过程对其进行排序。其次,设计问卷调查,利用层次分析法,征求专家意见,确定影响火电企业维修外包决策的因素。根据SLR,工业企业寻求外包维护服务主要是为了专注于核心活动,节省整体成本,提高服务质量。原创性/价值这是约旦大学工业工程系提交的硕士论文中的一篇原创研究论文。
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 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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