Technical Sessions - Session 10 : QM 2 / Survey Research on Continuous Quality Improvement System

(Jichao Xu),(Sung H . Park),(Ni Liu) 한국품질경영학회 1998 The 12th Asia Quality Management Symposium : Total Vol.- No.-

An Analysis of Trace Information of Different-shaped Fracture Networks Having a Same Fracture Intensity (P32)

Jichao Guo,Jun Zheng,Qing Lü,Zhipeng Xiao,Tiexin Liu 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.10

Discrete fracture network (DFN) simulation is the basis of studying the properties of a rock mass. An important premise of constructing three-dimensional (3-D) DFNs is to ensure that the fracture intensity (P32) of the simulated rock mass equals to that of the real one. In fact, the natural fracture shapes are various, and we can only obtain one-dimensional (1-D) and two-dimensional (2-D) measurements of a rock mass and usually infer 3-D DFNs based on 1-D and 2-D measurements. The following question would be induced: whether the DFNs with the same P32 and different shapes have similar 2-D trace information. Hence, a series of hypothetical 3-D elliptical DFNs with different values of long-short axis length ratio ke are constructed, and disc models are used to represent them. The algorithms of obtaining traces on sampling windows concerning circular and elliptical fractures are developed. The results show that as the values of ke increase, the error rate of the trace numbers and lengths between the elliptical fractures and simulated disc models on the same sampling windows increases. Moreover, because of the significant impact of fracture shape, the Accuracy representation Index is proposed to better evaluate which model is more appropriate for constructing DFNs.

QFD Model for Quality Performance Self-assessment

Liu, Yumin,Xu, Jichao The Korean Society for Quality Management 2006 The Asian Journal on Quality Vol.7 No.1

How to measure Quality Performance (QP) or excellence performance in organizations is very important for improving the quality of an organization's products and services. This paper takes Quality Function Deployment (QFD) as a useful tool to identify the key characteristics of quality performance and measure the influence factors on quality performance. Most national quality awards provide a framework of the criteria to show the essential elements of an organization's quality performance and get the Quality Performance Score (QPS) by self-assessment using the criteria. By means of these criteria, especially, the criteria of China Quality Award (CQA), a measurable indicator system for quality performance is set up. A four-phase QFD model of assessment for quality performance is developed. This QFD model not only presents the most important efforts for the deployment of the measurable indicators of quality performance, but also takes great advantage of evaluating the quality performance and obtaining the quality performance score. The measurable indicator hierarchy of quality performance is formed and its implementation method for assessment quality performance is described in this paper.

Customer Satisfaction Measurement Model Based on QFD

Liu, Yumin,Xu, Jichao 한국품질경영학회 2003 The Asian Journal on Quality Vol.4 No.2

With the development of the American Customer satisfaction index (ACSI), research on customer satisfaction measurement or evaluation methods have become significant in the last decade. Most of international customer satisfaction barometers or indices are evolved based on the cause and effect relationship model of ACSI. Of critical importance to validity of customer satisfaction indices is how to construct a measurement attribute or indicator model and provide an effective implementation method effectively. Quality Function Deployment (QFD) is a very useful tool for translating the customer voice into product design through quality engineering. In fact, this is a methodology for measuring and analyzing evaluation indicators by their relationship matrix. In this paper, we will make an effort to integrate the framework of QFD into the measurement problem of customer satisfaction, and also develop a new multi-phase QFD model for evaluation of Customer Satisfaction Index (CSI). From the houses of quality in this model, the evaluation indicators impacting on customer's global satisfaction are identified by means of their relationship matrix. Then the evaluation indicator hierarchy and its measurement method for the customer satisfaction index are presented graphically. Furthermore, survey data from the Chinese automobile maintenance sector and a relevant case study are utilized to show the implementation method of the QFD model used to measure and analyze of customer satisfaction.

The Same Distribution Principle and Its Applications

Liu, Yumin,Xu, Jichao 한국품질경영학회 2001 The Asian Journal on Quality Vol.2 No.1

In this paper, the same distribution principle is developed based on the studies with many years for short run processes. The quality control philosophy and background of the principle are introduced. Some implementing techniques for the principle are presented, and application cases both in industry and evaluation & decision-making areas are shown.

A Multivariate Discriminator for Process Drift

LIU, Yumin,XU, Jichao,Akpolat, Hasan 한국품질경영학회 2002 The Asian Journal on Quality Vol.3 No.1

Multivariate Exponentially Weighted Moving Average (MEWMA) chart is a control chart under multivariate process based on the idea of EWMA that rapidly detects small dispersion with a trend. The MEWMA chart was first time discussed by Woodall. However, in his study the correlativity among the multivariate was not considered for the selection of the constant of the diagonal matrix (the smooth parameter λ). In this paper, the EWMA chart with a generalized smooth parameter matrix has been discussed which is believed to have a better fitness for practical production than Woodall's approach.

A Classification Techniques for Quality Improvement

Xu, Jichao,Liu, Yumin,Li, Zhang 한국품질경영학회 2001 The Asian Journal on Quality Vol.2 No.2

As we know, the quality of processes is technically depicted by variation, a product or process with the best quality must naturally require the variation as less as possible. The variation is usually reduced with many ways, say, by adjusting parameters settings under robust design with many turns expensive experiments. So ones are trying to reach the robustness by detecting cheap and simple methods. In this paper, a both practical and simple technique for quality improvement, namely reducing the variation, by data classification is studied. First, all possible system factors are included, which may dominate the variation law. And then we make use of the past observations and their classification as well as boxplot charts to find out the internal rule between the variation and the system factor. Next, adjust the location of the system factor according to the rule so that the variation could, to some extent, be lessened. Finally, two typical quality improvement cases based on data classification are presented.

Technical Sessions - Session 4 : SPC 2 / Quality Improvement for Expert Base with Control Chart Techniques

(Yumin Liu),(Jichao Xu) 한국품질경영학회 1998 The 12th Asia Quality Management Symposium : Total Vol.- No.-

A network traffic prediction model of smart substation based on IGSA-WNN

Xia, Xin,Liu, Xiaofeng,Lou, Jichao Electronics and Telecommunications Research Instit 2020 ETRI Journal Vol.42 No.3

The network traffic prediction of a smart substation is key in strengthening its system security protection. To improve the performance of its traffic prediction, in this paper, we propose an improved gravitational search algorithm (IGSA), then introduce the IGSA into a wavelet neural network (WNN), iteratively optimize the initial connection weighting, scalability factor, and shift factor, and establish a smart substation network traffic prediction model based on the IGSA-WNN. A comparative analysis of the experimental results shows that the performance of the IGSA-WNN-based prediction model further improves the convergence velocity and prediction accuracy, and that the proposed model solves the deficiency issues of the original WNN, such as slow convergence velocity and ease of falling into a locally optimal solution; thus, it is a better smart substation network traffic prediction model.

Investigation of Hetero - Material - Gate in CNTFETs for Ultra Low Power Circuits

Wang, Wei,Xu, Min,Liu, Jichao,Li, Na,Zhang, Ting,Jiang, Sitao,Zhang, Lu,Wang, Huan,Gao, Jian The Institute of Electronics and Information Engin 2015 Journal of semiconductor technology and science Vol.15 No.1

An extensive investigation of the influence of gate engineering on the CNTFET switching, high frequency and circuit level performance has been carried out. At device level, the effects of gate engineering on the switching and high frequency characteristics for CNTFET have been theoretically investigated by using a quantum kinetic model. It is revealed that hetero - material - gate CNTFET(HMG - CNTFET) structure can significantly reduce leakage current, enhance control ability of the gate on channel, and is more suitable for use in low power and high frequency circuits. At circuit level, using the HSPICE with look - up table(LUT) based Verilog - A models, the performance parameters of circuits have been calculated and the optimum combinations of ${\Phi}_{M1}/{\Phi}_{M2}/{\Phi}_{M3}$ have been concluded in terms of power consumption, average delay, stability, energy consumption and power - delay product(PDP). We show that, compared to a traditional CNTFET - based circuit, the one based on HMG - CNTFET has a significantly better performance (SNM, energy, PDP). In addition, results also illustrate that HMG - CNTFET circuits have a consistent trend in delay, power, and PDP with respect to the transistor size, indicating that gate engineering of CNTFETs is a promising technology. Our results may be useful for designing and optimizing CNTFET devices and circuits.