Process capability indices provide numerical measures on whether a process conforms to the defined manufacturing capability prerequisite. These have been successfully applied by companies to compete with and to lead high-profit markets by evaluating the quality and productivity performance. The loss-based process capability index Cpm, sometimes called the Taguchi index, was proposed to measure ...

This paper focuses on the implications of learning processes for technological capability accumulation and performance improvement. These relations are evaluated through a single case study in the steelmaking unit of Companhia Siderúrgica Nacional (1997-2001). Recently developed frameworks in literature on technological capability accumulation and learning processes have been used, but adapted ...

Nowadays, in China, there exist obvious regional economic differences. However, narrowing such differences involves solving the problem of regional innovation differences. Furthermore, regional innovation capability disparity is an important factor in explaining the imbalances between regional economic development and international economic development. Hence, the study first adopts the Theil i...

the present article discusses and presents a new and comprehensive approachaimed at measuring the maturity and quality of software processes. this method has beendesigned on the basis of the software capability maturity model (sw-cmm) and themulti-level fuzzy inference model and is used as a measurement and analysis tool. among themost important characteristics of this method one can mention si...

A measurement control system ensures that measuring equipment and measurement processes are fit for their intended use and its importance in achieving product quality objectives. In most real life applications, the observations are fuzzy. In this paper, first we use the Dp,q -distance for the point estimation of process capability index Cpm based on fuzzy data and use this estimation for constr...

This paper proposes a new forecasting model based on the neural network with weighted fuzzy membership functions (NEWFM) concerning forecasting of turning points in the business cycle by the composite index. NEWFM is a new model of neural networks to improve forecasting accuracy by using self adaptive weighted fuzzy membership functions. The locations and weights of the membership functions are...

In this paper we introduce a concept of asymptotic log-likelihood ratio as a measure of deviation of the joint distribution from the product of their margins, we give the generalized strong law of large numbers (strong law expressed by inequalities, i.e. strong deviation theorems) for stochastic process indexed by a tree. As corollaries, we obtain some known results.

Statistical Process Control (SPC) methods can significantly increase organizational efficiency if appropriately used. The primary goal of process capability studies is to obtain critical information about processes to render them even more effective. This paper proposes a comprehensive framework for proper implementation of SPC studies, including the design of the sampling procedure and interva...

Assembly sequence planning is an integral part of a new product and process development. However, currently there are very few available approaches to evaluate the impact of assembly sequences on product quality. This paper develops a methodology for Quality-driven Sequence Planning (QISP) with consideration to product dimensional quality based on the following three steps: (1) Sequence generat...