A new statistical-quality-control methodology for panel line monitoring in shipyards

D. Maisano, L. Mastrogiacomo, F. Franceschini, Salvatore Capizzi, Gianandrea Pischedda, Daniele Laurenza, Giorgio Gomiero, Giuseppe Manca
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Abstract

The construction of cruise ship hulls is a complex process that involves various stages: it begins with the fabrication of panels, which involves marking, cutting, and shaping metal plates of considerable length, followed by the welding of rigid structural components onto these panels. To minimize delays and cost overruns, it is crucial to detect any anomalies early on and rectify them through appropriate repair work. Therefore, real-time conformity verifications and effective Statistical Quality Control (SQC) methodologies are necessary. This paper proposes a novel SQC methodology, specifically tailored for monitoring the panel line in cruise-ship shipyards. This methodology, while adopting a traditional standardized p control chart with samples of variable size, integrates two original aspects: (i) it accounts for the significant level of customization and specific quality characteristics inherent in the different panels and (ii) it rigorously considers the measurement uncertainty associated with the large-volume metrology instruments (such as state-of-the-art total stations, laser trackers or laser scanners) used for conformity verification, following the ISO 14253-1:2017 standard. The methodology is exemplified through a real-world case study, providing practical insights into its application.
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用于船厂板线监测的新统计质量控制方法
游轮船体的建造是一个复杂的过程,涉及多个阶段:首先是面板的制造,包括标记、切割和塑造相当长的金属板,然后将刚性结构部件焊接到这些面板上。为了最大限度地减少延误和成本超支,尽早发现任何异常并通过适当的维修工作加以纠正至关重要。因此,实时合格性验证和有效的统计质量控制 (SQC) 方法是必要的。本文提出了一种新颖的 SQC 方法,专门用于监控游轮造船厂的面板生产线。该方法采用了传统的标准化 p 控制图,样本大小可变,同时融入了两个新的方面:(i) 考虑了不同面板固有的大量定制和特定质量特性;(ii) 严格考虑了与用于合格性验证的大容量计量仪器(如最先进的全站仪、激光跟踪仪或激光扫描仪)相关的测量不确定性,符合 ISO 14253-1:2017 标准。该方法通过实际案例研究进行了示范,为其应用提供了实用见解。
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
期刊介绍: Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.
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