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Improving Product Quality through Advanced Product Quality Planning in Compliance with API Q1 at a Vertically Integrated OEM for Offshore Drilling and Production Equipment

机译:通过高级产品质量规划提高产品质量,符合API Q1,在垂直整合OEM,用于海上钻井和生产设备

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This paper will review the process a vertically integrated subsea equipment OEM took to implement Advanced Product Quality Planning (APQP) techniques in effort to satisfy API Specification Q1, 9th Edition risk assessment requirements. Through this paper, we will highlight the organization’s implementation approach, challenges faced, and benefits expected including improved product quality, increased customer service level, and lower costs. Driven by recent changes in API Specification Q1, 9th Edition along with customer specific quality requirements, Dril-Quip desired to institute Advanced Product Quality Planning (APQP) processes across its diverse product line and global manufacturing footprint. APQP has been successfully deployed and adopted in many manufacturing industries including automotive, aerospace, and defense. In this paper, Dril-Quip will discuss how it defined APQP standards to fit the specific needs of the oil and gas industry and its approach to apply them to the full range of Dril-Quip products. We will discuss the crossfunctional approach including development of Design Failure Modes, Effects and Criticality Analysis (DFMECA) and Process Failure Modes, Effects and Criticality Analysis (PFMECA) for subsea wellhead systems. Critical to that discussion will be a conversation about how Dril-Quip identified the Critical to Quality characteristics (CTQs) and the procedure by which these critical features were assimilated into Dril-Quip’s Quality Management System. Additionally, this paper will highlight how APQP will help the organization improve product quality and thus unlock constrained manufacturing capacity. Traditional quality management processes used in the oil and gas industry rely heavily on quality control and inspection. As a result, manufacturing operations often generate a significant number of non-conformances and customers require witness and hold points to ensure product quality. APQP brings a more proactive approach to quality management starting with product design and carrying through product verification analysis and validation testing, manufacturing and product delivery; thus, reducing non-conformances. By reducing non-conformances and designing quality into the product and its production processes, overall product quality and customer confidence will improve eliminating the need for third party witness and unlocking trapped capacity. Equipment manufacturers who are able to unlock this capacity will in turn be able to increase production volumes, shorten lead times and reduce costs. While APQP is not a novel or new concept and has been successfully deployed in the automotive, aerospace, and defense industries, it brings a new approach to quality management in the oil and gas industry. The ultimate conclusion will focus on the reasons why APQP implementation at a vertically integrated OEM reduces costs, improves process efficiency, and achieves a vast quality improvement over previous models including highlighting benchmarks from improvements realized from implementing APQP in other industries.
机译:本文将审查该过程,垂直集成的海底设备OEM实现了先进的产品质量规划(APQP)技术,以满足API规范Q1,第9版风险评估要求。通过本文,我们将突出本组织的实施方法,面临的挑战,预期的福利,包括提高产品质量,增加客户服务水平和降低成本。最近的API规范Q1,第9版以及客户特定的质量要求,DRIL-QUIP希望跨其各种产品系列和全球制造足迹的DRIL-SQIP。 APQP已成功部署和采用许多制造业,包括汽车,航空航天和防御。在本文中,DRIL-QUIP将讨论它如何定义APQP标准,以满足石油和天然气行业的特定需求及其对全系列DRIL-Quip产品的方法。我们将讨论跨功能方法,包括开发设计故障模式,效果和临界分析(DFMECA)以及海底井口系统的工艺故障模式,效果和关键性分析(PFMECA)。对该讨论至关重要的是关于DRIL-QUIP如何确定对质量特征(CTQ)至关重要的对话以及这些关键特征被同化为DRIL-Quip的质量管理系统的程序。此外,本文将突出APQP如何帮助组织提高产品质量,从而解锁约束的制造能力。石油和天然气工业中使用的传统质量管理流程依赖质量控制和检验。因此,制造操作通常会产生大量的非符合性,客户需要证人并保持点,以确保产品质量。 APQP为更积极主动的方法,以产品设计开头的质量管理,并通过产品验证分析和验证测试,制造和产品交付进行;因此,减少不符合。通过将不合格和设计质量降低到产品中及其生产过程中,整体产品质量和客户信心将改善对第三方证人和解锁陷阱能力的需求。能够解锁此容量的设备制造商又能够增加生产量,缩短交货时间并降低成本。虽然APQP不是一种小说或新的概念,并且已经成功地部署在汽车,航空航天和国防行业中,但它为石油和天然气行业提供了一种新的质量管理方法。最终的结论将介绍APQP在垂直集成的OEM处实现降低成本的原因,提高了过程效率,并实现了对以前的模型的巨大质量改进,包括突出来自在其他行业实施APQP的改进的基准。

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