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

这项研究的目的是开发和演示可行的方法，为制造应用的多元劣质成本损失函数(MVCOPQLF)。MVCOPQLF是从一个新开发的框架派生出来的，称为劣质成本矩阵。该框架将已建立的质量成本概念与田口损失函数模型的意图相结合。将测试从MVCOPQLf生成的生产调度结果对过渡路径和性能特性目标值的敏感性。还将对MVCOPQLF作为分立部件制造设施的应用进行建模和演示。预期的结果是提高了对损失函数概念的理解和实用性，使其可以在工业中用于评估和优化广泛的运营决策。这项研究的完成将把损失函数的概念提升到这样一个概念，如果实施得当，它可能会极大地促进生产商看待制造活动的方式--在这种水平上，明确考虑劣质成本会产生积极的长期结果，并且对整个社会的损失要小得多。//

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. //