Research Initiation: Multivariate Cost of Poor Quality LossFunctions for Manufacturing Operations Evaluation and Analysis

研究启动：用于制造运营评估和分析的低质量损失函数的多元成本

• 批准号: 9209824
• 负责人: Laura Raiman
• 金额: $ 2.93万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-15 至 1994-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9209824&HistoricalAwards=false
• 关键词: Research; Initiation; Multivariate; Cost; Poor

The intent of this research is to develop and demonstrate viable methodologies for manufacturing applications of a Multivariate Cost of Poor Quality Loss Function (MVCOPQLF). The MVCOPQLF is derived from a newly developed framework, known as the Cost of Poor Quality Matrix. This framework integrates established cost of quality concepts with the intent of Taguchi's Loss Function model. Production scheduling results generated from MVCOPQLfs will be tested for sensitivity to transition paths and performance characteristic target values. Applications of the MVCOPQLF is a discrete parts manufacturing facility will also be modeled and demonstrated. The anticipated result is the advancement of the understanding and practicability of the loss function concept to one which may be used in industry to evaluate and optimize a wide range of operating decisions. Completion of this research will elevate the loss function concept to one which may, if properly implemented, substantially advance the way producers look at manufacturing activities -- a level where explicit consideration of cost of poor quality yields positive long-term results, and far less loss to society as a whole. //

这项研究的目的是发展和证明 制造应用的可行方法 多元质量损失函数（MVCOPQLF） 的 MVCOPQLF源自一个新开发的框架，称为 质量差的成本矩阵。 该框架整合了现有的 质量成本概念与田口损失函数 模型 MVCOPQLfs生成的生产调度结果将 测试对过渡路径和性能的敏感性 特征目标值。 MVCOPQLF的应用是一个 离散零件制造设施也将建模， 演示。 预期的结果是理解的进步 以及损失函数概念的实用性， 在工业中用于评估和优化广泛的 经营决策。 这项研究的完成将提高 损失函数的概念，如果正确实施， 大大推进生产者看待制造业的方式 活动-明确考虑穷人的代价 质量产生积极的长期结果， 社会大局 //