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A delphi approach to identifying the severity of downtime influence factors impacting naval ship operational availability — does the Panel Demographic Impact the Expert Opinion?

机译:一种确定停机时间的严重性的影响因素的德尔菲方法,这些因素会影响海军舰艇的作战可用性—专家组的人口统计会影响专家的意见吗?

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High Operational Availability of Naval vessels remains a challenge to many navies worldwide despite increasing and novel approaches to availability. Numerous literatures are published on concepts of availability optimization, nevertheless so far there has been limited holistic research into the combined human and equipment root causes of naval vessel unavailability caused by the various downtime or simply put the naval Downtime Influence Factors (DIFs). To overcome the literature shortage a Delphi approach into the DIFs for the Royal Malaysian Navy In-Service Support for Patrol Vessels was carried out to shed light into unavailability causes and to pinpoint the areas of improvement. In the first stages of the Delphi study a panel of 30 professionals directly involved in naval ship maintenance was selected. A common criticism of the Delphi technique highlights that the selection of experts significantly influences the outcome of the studies. This research analyses via descriptive statistics whether the demographics of the expert sample had an impact on the outcome of the expert opinion, concluding that in most cases neither gender, designation, years of experience, organization type or qualifications impacted the weightage of importance allocated to each DIFs explaining outliners where applicable.
机译:尽管增加了可用性的方法新颖,但海军舰艇的高作战可​​用性仍然是世界范围内许多海军的挑战。关于可用性优化概念的大量文献已经发表,但是到目前为止,对于由各种停机时间引起的海军舰船不可用性的人员和设备综合根源的整体研究很少,或者只是简单地列出了海军停机时间影响因素(DIF)。为了克服文献不足的问题,Delphi采取了将DIF应用于马来西亚皇家海军在役巡逻船只的支持措施的方法,以阐明不可用的原因并指出需要改进的地方。在德尔福研究的第一阶段,选择了30名直接参与海军舰船维修的专业人员组成的小组。对德尔菲技术的普遍批评表明,专家的选择会极大地影响研究的结果。这项研究通过描述性统计分析专家样本的人口统计是否对专家意见的结果产生了影响,并得出结论,在大多数情况下,性别,职称,工作年限,组织类型或学历都不影响分配给每个专家的重要性的权重DIF在适当的情况下解释轮廓线。

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