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

本研究的目的是开发和展示多变量低质量损失函数成本（MVCOPQLF）制造应用的可行方法。MVCOPQLF源自一个新开发的框架，即劣质成本矩阵。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。将测试由MVCOPQLfs生成的生产调度结果对过渡路径和性能特征目标值的敏感性。MVCOPQLF是一个离散零件制造设施的应用也将被建模和演示。预期的结果是对损失函数概念的理解和实用性的提高，可以在工业中用于评估和优化各种经营决策。这项研究的完成将把损失函数的概念提升到一个水平，如果实施得当，它可能会大大提高生产者看待制造活动的方式——在这个水平上，对低质量成本的明确考虑会产生积极的长期结果，而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. //