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

基本信息

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

项目摘要

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. //

这项研究的目的是开发和证明可行的方法论，用于制造质量损失功能差的多元成本（MVCOPQLF）。 MVCOPQLF源自一个新开发的框架，称为质量差质量差的成本。该框架将质量概念的既定成本与Taguchi损失函数模型的意图集成在一起。 MVCOPQLF产生的生产调度结果将经过测试，以确保对过渡路径和性能特征目标值的敏感性。 MVCOPQLF的应用是离散的零件制造设施，也将进行建模和证明。预期的结果是将损失函数概念的理解和实用性提高到行业中可以用来评估和优化广泛的运营决策的理解和实用性。这项研究的完成将把损失函数概念提升到一个，如果正确实施，这可能会大大推动生产者看制造活动的方式 - 在这种水平上，明确考虑质量差的成本会产生积极的长期结果，而对整个社会的损失却少得多。 //