Generally, an industrialproduct hasmore thanone quality characteristic. In order toestablish performance measures for evaluating the capability of a multivariate manufacturing process, several multivariate process capability indices have been developed in the past few years. Among them, Taam’s MCp and MCpm indices have the drawback of overestimation and Hubele’s three-component capability vecto...

The capability analysis of a process against requirements is often an instrument change. traditional and fuzzy approaches are the most useful statistical techniques for determining intrinsic spread controlled establishing realistic specifications use comparative processes. In industry, approach commonly used to assess impact continuous improvement projects. However, these methods evaluate indic...

The use of principal component analysis in measuring the capability of a multivariate process is an issue initially considered by Wang and Chen (1998). In this article, we extend their initial idea by proposing new indices that can be used in situations where the specification limits of the multivariate process are unilateral. Moreover, some new indices for multivariate processes are suggested....

The variability in travel times is a very important feature in determining the arrival of the passenger at the destination within a given travel time threshold and can be noted as one of the most important characteristic for travel time reliability that is an increasing concern of travelers, because it allows travelers to make better use of their own time. In this paper reliability in multimoda...

Statistical techniques are effective and powerful means of quantifying the variability of processes, analyzing this variability with reference to product requirements, and eliminating this variability in product manufacturing. Many process capability indices have been effectively and widely used to determine whether the quality of a process meets preset targets. However, conventional process ca...

The process capability analysis is a crucial activity to evaluate if the process outcome meets the design specifications. Classically, such analysis is performed by verifying the in-control condition of the process and evaluating suitable capability indices, by assuming the process in-control steady-state condition. However, the in-control period of the process characterizes only a part of the ...

Purpose – The purpose of this paper is to explore the relationship between multivariate process capability indices and loss functions for both nominal-the-best and smaller-the-better cases, so the likelihood and consequences resulting from the nonconforming of a manufacturing process or an environmental system can be evaluated simultaneously. Design/methodology/approach – In this paper, the aut...