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A rough set-based quality function deployment (QFD) approach for environmental performance evaluation: a case of offshore oil and gas operations

机译:基于粗集的质量功能部署(QFD)方法进行环境绩效评估:以海上石油和天然气运营为例

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摘要

Activities in offshore oil and gas (OOG) that cause environmental impacts can be systematically managed through an environmental management system (EMS). Environmental performance evaluation (EPE) is an essential part of an EMS. However, previous studies on EPE indicate that existing lists of indicators little insight into how indicators are modified to more accurately assess environmental performance. In this paper, a way is proposed to identify and define specific environmental performance indicators on a case-by-case basis, which consists of five steps: (1) describing environmental requirements; (2) determining favourable outcomes corresponding to the requirements; (3) identifying required activities or issues to achieve the outcomes; (4) searching for proper measures of the activities or issues; and (5) generating a list of key indicators. Based on these steps, a quality function deployment (QFD) approach is developed to determine key indicators and evaluate environmental performance. To handle uncertainties in QFD, the decision makers' evaluations are quantified through rough numbers using the concept of rough sets. The outputs of the proposed approach are different environmental performance indices. Using these indices, decision makers can easily determine whether an improved performance has been achieved through an EMS. The proposed approach is transparent and promising for use as a unified tool for EPE. An application of the proposed approach is demonstrated through a numerical example.
机译:可以通过环境管理系统(EMS)来系统管理对海洋造成影响的海上油气(OOG)活动。环境绩效评估(EPE)是EMS的重要组成部分。但是,以前关于EPE的研究表明,现有的指标列表很少了解如何修改指标以更准确地评估环境绩效。本文提出了一种根据案例确定和定义特定环境绩效指标的方法,该方法包括五个步骤:(1)描述环境要求; (2)确定符合要求的有利结果; (3)确定实现成果所需的活动或问题; (4)寻找适当的措施来衡量活动或问题; (5)生成关键指标列表。基于这些步骤,开发了质量功能部署(QFD)方法来确定关键指标并评估环境绩效。为了处理QFD中的不确定性,决策者的评估通过使用粗糙集的概念通过粗糙数进行量化。提议的方法的输出是不同的环境绩效指标。使用这些指数,决策者可以轻松地确定是否通过EMS获得了改进的性能。所提出的方法是透明的,并有望用作EPE的统一工具。通过数值实例证明了该方法的应用。

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