首页> 外文期刊>Journal of Engineering Design >Robust design requirements specification: a quantitative method for requirements development using quality loss functions
【24h】

Robust design requirements specification: a quantitative method for requirements development using quality loss functions

机译:稳健的设计需求规范:使用质量损失函数进行需求开发的定量方法

获取原文
获取原文并翻译 | 示例
       

摘要

Product requirements serve many purposes in the product development process. Most importantly, they are meant to capture and facilitate product goals and acceptance criteria, as defined by stakeholders. Accurately communicating stakeholder goals and acceptance criteria can be challenging and more often than not, requirements will be subject to simplification, causing ambiguity and uncertainty, with negative consequences for the company and the users. To prevent such incidences, a new approach for creating more complete requirements is proposed in this article. Grounded in robust design theory, the approach uses quality loss functions as one of the five principles, to visualise a more complete set of requirement information in a single figure. In order to validate the potential and applicability of the proposed approach, a new indicator for requirement completeness is introduced, expressing how open the requirements are for interpretation. By applying the method and indicator to a case study from the medical device industry, it was found that less than 45% of the potential for quantification had been utilised. Finally, the robust design requirements specification method was successfully applied to three case study requirements, to illustrate the gains in terms of the level of quantification, transparency, and comprehensiveness of the provided information.
机译:产品要求在产品开发过程中有许多目的。最重要的是,它们旨在捕获和促进利益相关者定义的产品目标和接受标准。准确传达利益相关者的目标和接受标准可能具有挑战性,而且往往会简化要求,从而引起歧义和不确定性,给公司和用户带来负面影响。为防止此类事件,本文提出了一种用于创建更完整需求的新方法。基于稳健的设计理论,该方法使用质量损失函数作为五项原则之一,以便在单个图中可视化一组更完整的需求信息。为了验证所提出方法的潜力和适用性,引入了一个新的要求完整性指标,以表达要求对解释的开放程度。通过将该方法和指标应用于医疗器械行业的案例研究,发现只有不到45%的量化潜力得到了利用。最后,稳健的设计需求规格说明方法已成功应用于三个案例研究需求,以说明所提供信息的量化,透明性和全面性方面的收益。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号