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1
Visitsak, Sopa. "An evaluation of the bioclimatic chart for choosing design strategies for a thermostatically-controlled residence in selected climates." Texas A&M University, 2007. http://hdl.handle.net/1969.1/85782.
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To be successful in sustainable building design, architects must consider energy
efficient design strategies in the early design stage. Unfortunately, many architects still
rely on simplified analysis, synthesis techniques, and historical examples. Although,
building energy simulations are becoming more common in the design of buildings,
architects rarely use simulation in the early design stage.
The "Bioclimatic" charts have been used in the early design stage to define
potential building design strategies to achieve indoor thermal comfort. Currently, many
architects use the Givoni-Milne bioclimatic design chart (Milne and Givoni, 1979),
which was developed based on principle reasoning and heuristics. There have been many
attempts to develop computerized programs to further the bioclimatic analysis; however,
there have been very limited efforts to test and evaluate the design strategies of the chart
using simulations of a thermostatically-controlled building.
Therefore, the purpose of this research is to promote comfortable buildings that
reduce energy use through appropriate building design strategies. The objectives of the
research are to develop a more accurate bioclimatic chart for a thermostaticallycontrolled
residence by testing and evaluating the Givoni-Milne bioclimatic chart. The
analysis is performed with DOE-2.1e program (Winkelmann, 1993) and TMY2 weather
data (Marion and Urban, 1995) for several climates. To achieve these objectives, four
main tasks were accomplished: 1) investigate the Givoni-Milne Bioclimatic Chart using
representative weather data from several climates, 2) analyze and modify the design
strategy boundaries using DOE-2 program and TMY2 weather data to simulate the effects of varied conditions of a thermostatically-controlled residence in different
climates, 3) compare these new design strategy boundaries to the original Givoni-Milne
design strategy boundaries, and 4) develop general guidelines for the new bioclimatic
chart.
In summary, there were some differences in the results from the Givoni-Milne
bioclimatic chart and the DOE-2 simulation results. These results imply that without
further modification, the G-M Chart may have only a limited use for a thermostaticallycontrolled
residence. Therefore, to improve the usefulness of the bioclimatic chart the
new bio-climatic chart for choosing design strategies for a thermostatically-controlled
residence in the hot-humid climate of Houston, Texas, was developed. This new
bioclimatic chart for a thermostatically-controlled residence will be a useful tool for
architects and engineers in the early design stage. Similar versions of the new
bioclimatic for other climates could then be developed.
2
Ratcliffe, Martyn. "The application of use cases in systems analysis and design specification." Thesis, Keele University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252582.
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Xu, Liaosa. "The Design of GLR Control Charts for Process Monitoring." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/50408.
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Generalized likelihood ratio (GLR) control charts are investigated for two types of statistical process monitoring (SPC) problems. The first part of this dissertation considers the problem of monitoring a normally distributed process variable when a special cause may produce a time varying linear drift in the mean. The design and application of a GLR control chart for drift detection is investigated. The GLR drift chart does not require specification of any tuning parameters by the practitioner, and has the advantage that, at the time of the signal, estimates of both the change point and the drift rate are immediately available. An equation is provided to accurately approximate the control limit. The performance of the GLR drift chart is compared to other control charts such as a standard CUSUM chart and a CUSCORE chart designed for drift detection. We also compare the GLR chart designed for drift detection to the GLR chart designed for sustained shift detection since both of them require only a control limit to be specified. In terms of the expected time for detection and in terms of the bias and mean squared error of the change-point estimators, the GLR drift chart has better performance for a wide range of drift rates relative to the GLR shift chart when the out-of-control process is truly a linear drift.
The second part of the dissertation considers the problem of monitoring a linear functional relationship between a response variable and one or more explanatory variables (a linear profile). The design and application of GLR control charts for this problem are investigated. The likelihood ratio test of the GLR chart is generalized over the regression coefficients, the variance of the error term, and the possible change-point. The performance of the GLR chart is compared to various existing control charts. We show that the overall performance of the GLR chart is much better than other options in detecting a wide range of shift sizes. The existing control charts designed for certain shifts that may be of particular interest have several chart parameters that need to be specified by the user, which makes the design of such control charts more difficult. The GLR chart is very simple to design, as it is invariant to the choice of design matrix and the values of in-control parameters. Therefore there is only one design parameter (the control limit) that needs to be specified. Especially, the GLR chart can be constructed based on the sample size of n=1 at each sampling point, whereas other charts cannot be applied. Another advantage of the GLR chart is its built-in diagnostic aids that provide estimates of both the change-point and the values of linear profile parameters.
Ph. D.
4
Chin, Chang-Ho. "Optimal filter design approaches to statistical process control for autocorrelated processes." Texas A&M University, 2004. http://hdl.handle.net/1969.1/2776.
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Statistical Process Control (SPC), and in particular control charting, is widely used to achieve and maintain control of various processes in manufacturing. A control chart is a graphical display that plots quality characteristics versus the sample number or the time line. Interest in effective implementation of control charts for autocorrelated processes has increased in recent years. However, because of the complexities involved, few systematic design approaches have thus far been developed.
Many control charting methods can be viewed as the charting of the output of a linear filter applied to the process data. In this dissertation, we generalize the concept of linear filters for control charts and propose new control charting schemes, the general linear filter (GLF) and the 2nd-order linear filter, based on the generalization. In addition, their optimal design methodologies are developed, where the filter parameters are optimally selected to minimize the out-of-control Average Run Length (ARL) while constraining the in-control ARL to some desired value. The optimal linear filters are compared with other methods in terms of ARL performance, and a number of their interesting characteristics are discussed for various types of mean shifts (step, spike, sinusoidal) and various ARMA process models (i.i.d., AR(1), ARMA(1,1)).
Also, in this work, a new discretization approach for substantially reducing the computational time and memory use for the Markov chain method of calculating the ARL is proposed. Finally, a gradient-based optimization strategy for searching optimal linear filters is illustrated.
5
Lohmann, Sven [Verfasser]. "Systematic Logic Controller Design as Sequential Function Chart Starting from Informal Requirements / Sven Lohmann." Aachen : Shaker, 2012. http://d-nb.info/1067735755/34.
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Avanessian, Alfred. "An analysis of the effect of 3-D groove insert design on chip breaking chart." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-01255-110749/.
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Auel, John B. "Design and testing of a prototype in-line chip quality monitor." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-06102009-063437/.
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Benaddi, Tarik. "Sparse graph-based coding schemes for continuous phase modulations." Phd thesis, Toulouse, INPT, 2015. http://oatao.univ-toulouse.fr/16037/1/Benaddi_Tarik.pdf.
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The use of the continuous phase modulation (CPM) is interesting when the channel represents a strong non-linearity and in the case of limited spectral support; particularly for the uplink, where the satellite holds an amplifier per carrier, and for downlinks where the terminal equipment works very close to the saturation region. Numerous studies have been conducted on this issue but the proposed solutions use iterative CPM demodulation/decoding concatenated with convolutional or block error correcting codes. The use of LDPC codes has not yet been introduced. Particularly, no works, to our knowledge, have been done on the optimization of sparse graph-based codes adapted for the context described here. In this study, we propose to perform the asymptotic analysis and the design of turbo-CPM systems based on the optimization of sparse graph-based codes. Moreover, an analysis on the corresponding receiver will be done.
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Dickinson, Rebecca. "Statistical Methods for Improving and Maintaining Product Reliability." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/50516.
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When a reliability experiment is used, practitioners can understand better what lifetimes to expect of a product under different operating conditions and what factors are important to designing reliability into a product. Reliability experiments, however, can be very challenging to analyze because often the reliability or lifetime data tend to follow distinctly non-normal distributions and the experiments typically involve censoring. Time and cost constraints may also lead to reliability experiments with experimental protocols that are not completely randomized. In many industrial experiments, for example, the split-plot structure arises when the randomization of the experimental runs is restricted. Additionally, for many reliability experiments, it is often cost effective to apply a treatment combination to a stand with multiple units on it as opposed to each unit individually, which introduces subsampling. The analysis of lifetime data assuming a completely randomized design has been well studied, but until recently analysis methodologies for more complex experimental designs with multiple error terms have not been a focus of the reliability field. This dissertation provides two analysis methods for analyzing right-censored Weibull distributed lifetime data from a split-plot experiment with subsampling. We evaluate the proposed methods through a simulation study.
Companies also routinely perform life tests on their products to ensure that products meet requirements. Each of these life tests typically involves testing several units simultaneously with interest in the times to failure. Again, the fact that lifetime data tend to be nonnormally distributed and censored make the development of a control charting procedure more demanding. In this dissertation, one-sided lower and upper likelihood ratio based cumulative sum (CUSUM) control charting procedures are developed for right-censored Weibull lifetime data to monitor changes in the scale parameter, also known as the characteristic life, for a fixed value of the Weibull shape parameter. Because a decrease in the characteristic life indicates a decrease in the mean lifetime of a product, a one-sided lower CUSUM chart is the main focus. We illustrate the development and implementation of the chart and evaluate the properties through a simulation study.Ph. D.
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Ho, Hui-Ching, and 何惠卿. "Combined Shewhart-EWMA Control chart design." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/99475413884235693897.
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楊正蘭. "Economic design of X control chart." Thesis, 1987. http://ndltd.ncl.edu.tw/handle/26112166764231690780.
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Lin, Sung-nung, and 林松農. "Economic Design of ARMA Control Chart." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/70702354159497144746.
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碩士國立雲林科技大學
工業工程與管理研究所碩士班
95
Control charting is a graphical expression for monitoring manufacture process to detecting quality defect. In a continuous manufacture process, quality characteristic have autocorrelation. Traditional Shewhart control chart isn’t applicable for monitoring manufacture process with autocorrelation. In this paper, we develop the economic design of the autoregressive moving average (ARMA) control chart determined by the parameter set (the sample size, the sampling interval, the control limit, the autoregressive parameter of ARMA control chart and the moving average parameter of ARMA control chart) that minimizes the total control chart cost. Use the simulation technique and genetic algorithm to search for the optimal parameter set and illustrate the solution procedure by an example. Sensitivity analysis is then carried out to investigate the effects of model parameters on the solution of the parameter of ARMA control chart. Finally, the cost of ARMA chart economic model in this study is effected by the process mean shift level, time length between two assignable causes, expect time for searching assignable causes, expect time for repairing process, total cost per hour of defect products when process is in control and total cost per hour of defect products when process is out of control.
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傅遠明. "Computer-aided Design of Tolerance Chart." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/82693270219068620955.
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碩士國立臺灣科技大學
工程技術研究所
80
Tolerance charts for mechanical components are essential to the planning of manufacturing process as well as to the assurance of product quality. By providing the information of operation procedures. machine tools required. and amount of material to be removed, the tolerance charts have been commonly used in the aerospace industry, where a high level of accuracy requirements are specified for most of mechanical parts of areo industry, tolerance chart design is requisite job before manufacture. The design of such charts, however, is not only a time consuming job but also highly reliant upon engineers expertise. With the assistance of computer tools, the design process is simplified and the design quality can be improved .The development of a computer-aided design software for the tolerance chart includes the combination of textual and graphic data, balancing of dimensions in individual tolerance chains, and allocation of stock removal as well as manufacturing tolerance for every operation. This paper presents both the related algorithms and a useful software package for the design of tolerance charts.
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TUNG, CHIH-TING, and 董之庭. "Design of Face Chart and Fashion Modeling." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/8j52f5.
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碩士明新科技大學
化學工程與材料科技系碩士在職專班
105
This paper makes a coherent discussion and analysis on the evolution of make-up history, the trends of eye shadow, the kind of make-up and the picture drawing. There are three sections in this paper, those are: (1) the description of makeup in the role played in each historical period from the point of view of the East and West, and the analysis of the make-up trends and drawing techniques in the recent two years; (2) the whole discussion in the make-up skills and creative elements; (3) the actual drawing techniques by converting and extracting the elements of animals, insects, natural and also popular art into the face chart designs.
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Chiu, Chih-jung, and 邱致榮. "A statistical design for P control chart." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/58278660950427006066.
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碩士逢甲大學
工業工程與系統管理學研究所
98
The average run length is an index to present the ability of process-diagnosis by the control chart. Under the normal process, the average number of sampling, used to identify that the process is out-of-control in the control chart, is called the average run length ARL0. Under the abnormal process, the average number of sampling, used to identify that the process is out-of-control in the control chart, is called the average run length ARL1. The ARL0 of the control chart is the larger the better and ARL1 is the smaller the better. The purpose of this paper is to look for the parameters of the P control chart that make the ARL0 largest and the ARL1 smallest. The parameters of the P control chart that affect the average run length are sample size, sampling intervals, control limit coefficient, out-of-control probability and shift amount of defective proportion. These parameters are arranged by central composite design which includes 47 treatment combinations. Computer simulation each treatment combination, we get 47 pairs of ARL0 and ARL1 which use to fit the second-order response surface model of ARL0 and ARL1. And finally, maximize the difference between the ARL0 and ARL1 use partial differential to get the best parameter combination of the P control chart.
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Ku, Chih-Chiang, and 辜誌強. "A Statistical Design of Xbar-R Control Chart." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/17728293248195170986.
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碩士逢甲大學
工業工程與系統管理學研究所
96
Numerous methods, including Cumulative Sum(CuSum) , Exponentially Weighted Moving Average(EWMA), variable sample size, Variable Sampling Interval(VSI) , variable Control limit coefficient, have been proposed to improve the capability of monitoring process in Shewhart control chart. In practice, these methods aren’t simple, resulting in mistakes and loading. The capability of the control chart monitoring process is represented in two ARL (average run length). Essentially, the ARL is the average number of points that must be plotted before a point indicated an out-of control condition. When the process is in-control, the ARL of the control chart is the larger the better. Adversely, the process is out-of-control, the ARL of the control chart is the smaller the better. The ARL is affected by control chart parameters: sample size, sampling interval, control limit coefficient, out-of-control probability, the process shift amount and the rules of judgment. In this study, the central composite design (CCD) was used to allocate factor-level and data was obtained by computer simulation for the aim that the optimal parameters of Shewhart Xbar-R control chart were obtained.
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Nien, Pei-Ching, and 粘珮菁. "Design of Control Chart for Clustered Quality Data." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/41832049291031781635.
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碩士國立臺灣科技大學
管理研究所工業管理學程
87
The defects on a wafer usually occur in a cluster, which results in many false alarms in operating a Shewhart control chart. In practice, the exact coordinate of the defective points on a wafer is not easy to obtain, but the locations of defective chips on a wafer can be easily detected. Therefore, most control charts for intergrated circuit manufacturing are based on the number of defective chips instead of defective points on a wafer. In this thesis, a control chart for clustered quality data is proposed. Both the type I and type II errors of the proposed control chart are estimated by a simulation study. The performance of the proposed control chart is evaluated numerically.
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Wang, Yi Hua, and 王藝華. "ECONOMIC DESIGN OF CUSUM CHART WITH VARIABLE SAMPLING." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/30247305157643667694.
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碩士國立清華大學
統計學研究所
91
Recently, quality plays an important and necessary role in many products. The most important statistical tool for quality control in manufacturing is the statistical process control (SPC), so control charts are used widely. A control chart is called dynamic if at least one of the three chart parameters, namely, sample size, sampling interval, and locations of control limits, are allowed to change in progress. Because the improvement in computers, more and more researchers study dynamic charts, and find they normally perform better than the corresponding static charts. In this paper, we consider the sampling scheme for the cumulative sum control chart using a Bayesian approach in minimizing the average cost per unit time. It gives a dynamic system in which inspection frequency is allowed to vary according to the prior probability that the system will be out of control when producing the next item. We will show how to obtain the optimal solutions, in which one decides when to keep producing without inspection, when to keep producing with inspection, and when to stop the process by considering the trade-off between repair costs, inspection costs, and the quality cost. An example is given to illustrate the proposed procedure.
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Yang, Ching-Hwi, and 楊清暉. "A Study on the Design of Acceptance Control Chart and Reject Control Chart under Non-normality." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/12981605812998730153.
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碩士國立雲林科技大學
工業工程與管理研究所碩士班
90
Since 1924 when Dr. Shewhart presented the first control chart, statistical methods provide a useful application in industrial process control. The “acceptance control chart” theory conducted by Dr. Freund on 1957. This theory combined the specification limit with both the producer’s risk (type I error) and the customer’s risk (type II error) to find the control limit for process. It’s a tooling put the acceptance sampling together with the control chart. The reject control chart is generally applied in situations when a chart is used to control the fraction of non-conforming units produced by process and where 6-sigma spread of the process is smaller than the spread in the specification limits. Traditionally, when conducting the design of control charts, one usually assumes the measurements in the sample are normally distributed and independent. However, this assumption may not be tenable. If the measurements are asymmetrically distributed and correlated, the statistic will be approximately normally distributed only when the sample size n is sufficiently large and may reduce the ability that a control chart detects the assignable causes. In this paper, we use the Burr distribution, which can be employed to present various non-normal distributions, to determine the appropriate control limits or sample size for the acceptance control chart and reject control chart under non-normality. Some numerical examples are given for illustration. From the presented example，it is noted that ignoring the effect of non-normality in the data will lead to a higher typeΙor type Ⅱ error probability. Keywords：acceptance control chart 、reject control chart 、the Burr distribution
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Hsu, Chih-Hao, and 許智豪. "Economic Design of Control Chart Using Taguchi Loss Functions." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/84583688496434305099.
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碩士大葉大學
工業工程學系碩士班
92
An control chart is one of the most popular tools in statistical process control in industry. Usually, a conventional control chart is to use a sample of size 4 or 5, three sigma control limits from the process mean and the sampling interval depends on the different event by the quality engineer. This kind of control chart is very convenient for management, but it ignores the cost consideration. Duncan considered the cost of control chart and re-designed the control chart from the economic view-point in 1956. From then on, there are many researchers who are continually investigating the control chart design from cost consideration. The main purpose of this study is to construct an control chart for discontinuous production process under the consideration of Taguchi Loss Functions. The Orthogonal array is employed for related factors permutation and ANOVA for finding out the noticeable loss-cost factors in the model analysis. The sensitivity analysis is also used for understanding how the significant impact to the cost for different parameters. A numerical example is shown that the social loss is the most important in term of the cost of control chart and the sensitivity analysis shows that the increasing cost when the process is out of control, specification limit, the difference between the target and have a more significant effect on the loss cost, meaning that one should more carefully treat these parameter values when conducting an economic analysis.
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Xu, Ji-Ren, and 許濟人. "ultimedia authoring system based on flow-chart design method." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/86941145037792115016.
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Chiang, Jyun-You, and 江俊佑. "Design of Acceptance Control Chart for Skew Normal Data." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/51432047555240122050.
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碩士淡江大學
統計學系碩士班
94
In variable control charts, the X-bar and R charts are widely used to monitor the process mean and variability of the quality characteristic. When manufacturer''s record was very well, we can accept the process mean shifts between a predetermined interval (mu_L,mu_U), and will not produce many nonconforming units. In this design, an acceptance control chart can be constructed by combining with the specifications, producer''s risk and consumer''s risk. Conventional acceptance control chart is designed to monitor the process mean of normal data. But it always results in a higher probabilities of type I or type II errors when the chart is used to monitor the non-normal data. Chou et al. (2005)developed an acceptance control chart based on the Burr distribution and they used it to monitor the process mean of non-normal data. The main disadvantage of Burr acceptance control chart is that it can not reduce to the conventional acceptance control chart when it is used to monitor symmetric data. The thesis develops a new acceptance control chart based on the Skew Normal distribution to overcome the problem. The Skew Normal acceptance control chart can be used to monitor the process mean whenever the process data is symmetric and it can reduce to the conventional acceptance control chart when the data is symmetric.
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Chang, Yung-chieh, and 張永杰. "Economic Design of Variable Sampling Intervals T2 Control Chart." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/35444170523019988036.
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碩士國立雲林科技大學
工業工程與管理研究所碩士班
91
Control charting is a graphical expression and operation of statistical hypothesis testing. In this paper, we develop the economic design of the variable sampling intervals (VSI) T2 control chart to determine the values of five test parameters of the chart (i.e., the sampling size, the long sampling interval, the short sampling interval, the warming limit, and the control limit) such that the expected total cost, associated with the test procedure, is minimized. The genetic algorithm (GA) is employed to search for the optimal values of the five test parameters of VSI T2 chart, and an example is provided to illustrate the solution procedure. Sensitivity analysis is then carried out to investigate the effects of model parameters on the solution of the economic design.
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Shin, Nai Ping, and 施乃萍. "The application of loss function in ■ control chart design." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/78852994749693897922.
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Guo, Bing-Yu, and 郭秉裕. "The Design of Fuzzy Control Chart with Run Rule." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/93324676322994869827.
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碩士國立雲林科技大學
工業工程與管理研究所碩士班
100
Statistic process control, recently, has been paid high attention by most manufacturing process. Among which, control chart plays an important role. Not only can it record objective datum of quality characteristics on line, but it also provides related statistic signal to support making decision when abnormal causes occur. However, the traditional Shewhart control chart can neither get satisfying performance of detecting small shift nor recognize the unnatural patterns in general. Therefore, being based on the application of Western Electric run rule onto the fuzzy logic rule, this research presents a combination of a control chart and a fuzzy inference system to mainly investigate performance of average run length of out of control and sensitivity analysis in various of run rule sets. The results show that the fuzzy run rule control chart can strengthen the ability of detecting small shift and then little damage the ability of detecting big shift comparatively. Besides it is more important that the control limit of the chart would not be affected by the sample size.
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Chen, Shiu-ming, and 陳昫名. "Adaptive CUSUM-C Control Chart Design with Q Statistics." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/99198789899080557328.
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碩士國立雲林科技大學
工業工程與管理研究所碩士班
100
Statistical process control has been widely applied in various fields, for Phase II with unknown parameters, or the short process of production, the so-called self-starting method can solve this problem. CUSUM-Q control chart is since the launch of the concept and will make the process more stable in the short process. However, the shifts is unknown, use the sample information directly shifts and so-called adaptive CUSUM control chart, control chart development has been combined with the ACQ control chart of the Q statistic (Adaptive CUSUM of the Q chart ), to solve most of the traditional CUSUM-Q Masking effect, but also lost the sensitivity to the size of the shifts. This study proposes to improve the sensitivity of the ACQ control chart for the size of the shifts, the estimated shifts is to join the EWMA-C. The results showed that of ACQ-C control chart (γ = 1.5) in the detection of large shifts better than the other control charts, the ACQ-C (γ = 4.0) control chart in detecting small shifts in part similar to ACQ control chart. Finally, ACQ-C control chart can still use the tabular monitor in the calculation and are very convenient and simple.
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Sun, Yu-Ting, and 孫于婷. "A study on control chart design with censored data." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/21968735701163346019.
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碩士國立屏東科技大學
工業管理系所
102
With the continuous improvement of industrial technology, more and more high reliability and long life products appear. When the products life was too long, life data collection is often time-consuming and waste costs. Actual situation, it can set acceptable test time in order to enhance efficiency and reduce the cost of the experiment. In this case the only part of the observed value of the real failure time, another to the time censoring, such data form called censored data. For censored data, previous studies to establish CEV X bar- S the conditional expected value control charts to monitor process variation. However, the conditional expectation value to replace approach of censored data that may overestimate the true failure time of mean. In this paper we propose CMV X bar-S the conditional median value control charts to replace CEV X-S control charts. Assessment of control chart detection capabilities, in this thesis assuming the lifetime to have normal distribution and considerations type I (right) censored, the use of Matlab code to simulation different proportion censored the control limit of under. The under different censored level to establish CEV and CMV X bar-S control charts model. And simulation the process data of normal and abnormal performance analysis of two control charts.The results show that CMV X bar-S control charts are better than CEV X bar- S control charts when the different process shift.
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CHEN, WEI-ZHI, and 陳偉智. "Design of Run Sum Control Chart Under Non-Normality." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/5c2m9j.
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碩士國立雲林科技大學
工業工程與管理系
107
Owing to the rise of consumer awareness, the improvement of quality has become the primary goal of the company. The stability of the process will have a direct impact on quality. The control chart which is the most effective and widely used tool of Statistical Process Control（SPC）is often used to monitor process. The Shewhart control charts has a good performance when the process is greatly shifting, but have poor performance when the process is slightly shifting. Roberts (1966) proposed the Run Sum control chart and its performance is obviously better than the Shewhart control chart when the process have medium or small shift. Besides, it is easily and conveniently to operate. The Run Sum control chart provides a better option as controlling a process. The control charts are usually constructed under the assumption that the data is normal distribution. In reality, the measurement data of many processes does not obey the normal distribution. Chang and Bai (2001) mentioned that the distributions of measurements from chemical process, semiconductor process and the cutting tool wear process are often skewed. When the data skewness increases and the control charts established under the normal distribution monitor the skewed data, the false alarm rate of the control chart will increase. In this study, different Burr distributions are used to represent the non-normal distributions of different skewed conditions, and the asymmetric Run Sum control chart design suitable for data distribution is established in the non-normal distribution. The genetic algorithm is used to solve the optimal parameter combination of the control chart. Finally, the performance is compared with the asymmetric Shewhart control chart in the non-normal distribution. It shows that the asymmetric Run Sum control chart proposed in this study can detect the shifts of the processes more quickly in the non-normal distribution.
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Su, Wan-Ling, and 蘇菀鈴. "Design the standardized e-chart system for healthcare –A case study of clinical charts for breast cancer." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/eqb37t.
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碩士慈濟大學
醫學資訊學系碩士班
101
Clinical Medicine used a lot of information systems, such us Report Information System (RIS) 、Case Management Systems、 examination system……etc. However, there do not have standard mechanism for exchanging data across systems. The clinical data usually isolated in clinical systems and the data only can be used in the original systems generate the data. Therefore, this research plans to develop an e-chart system to generated standardized clinical data. This system refers IHE (Integrating the Healthcare Enterprise) QRPH standard、Health Level 7 V2、National Health of the People's Republic of China to establish standard code and data mapping. Basing on the mapping this research establishes standard templates for collecting data in cancer diagnosis and therapy. This study used HTML and JavaScript the label relations to build standard forms. Basing on this study, the result data created by the e-chart system can be saved as the XML (eXtensible Markup Language) format. And we design a database structure to save all the XML data results. With the standard mapping the XML data could be reused by other e-charts for cancer diagnosis and therapy. This can reduce the overhead for clinicians to collect the data and avoid data input error.
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Huangs, Shia-Hui, and 黃夏慧. "The design of control limits of R chart for non-normal processesThe design of control limits of R chart for non-normal processes." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/90682632659953649297.
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碩士高苑科技大學
經營管理研究所
96
The design of control limits of R chart for non-normal processes Abstract This study proposes a method which is called Modified Shewhart control chart (MS) to determine the upper and lower control limits of the R control chart suitable for the raw data which are non-normal distributions. The study uses software package Mathematic 6.0 to determining the control limits of R charts for Weibull, lognormal, and Burr distributions and calculates the average values of control limits for general skewed distributions. This study emphasizes on the convenient use of the R chart table for the operators in processes. Operators need not take statistical training courses and make a lot of calculations to find the upper and lower control limits of the R control chart. They just have to look up the table made in this study. This is more useful and economic for the manufacturer to monitor the production process. The R control charts performs more significantly with fixing Type І error 0.0027.than the conventional Shewhart control chart, the weighted variance method ( Bai & Choi, 1995), and the skewness correction method (Chan & Cui, 2002). The results reveal that the method provides a suitable R control chart with fixing Type I error 0.0027, and the monitoring ability of the R chart is better than the conventional Shewhart control chart, the weighted variance method and the skewness correction method. Key wards: Weiibull, lognormal, Burr, Type І error, R chart
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Ben, Hua, and 黃華邦. "Design of Hotelling''s T2 Control Chart with Runs Rules." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/70022363772430615124.
Full textAbstract:
碩士國立雲林科技大學
工業工程與管理研究所碩士班
93
Hotelling developed T2 control chart for monitoring multivariate process in 1947. Due to more complicated of industrial process nowadays, Hotelling’s T2 control chart is widely used on controlling several related characteristics because of its simplicity. However, T2 control chart cannot signal immediately when small or moderate process shift occurs. For increasing sensitivity of T2 control chart, firstly Markov chain is used to obtain runs rules appropriate for T2 control chart under ARL0 is 200, 500, 370 and 1000. Secondly, test the contribution of each rules by appearance frequency and combined rules which with high frequency. Furthermore, loosen the control limit to control the serious type I error of rules. For verifying the contribution and practicability, comparison based on ARL performance between the basic T2 control chart, T2 control chart which incorporates runs rules and MEWMA is practiced in this research. The research result indicates that T2 control chart combined runs rules can perform as better as MEWMA when small process shift occur, and even better when moderate or large process shift occur.
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Wei, Lu-Chen, and 韋祿甄. "Economic Design of the Variable Sampling Intervals EWMA control chart." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/13426603749788408187.
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碩士國立雲林科技大學
工業工程與管理研究所碩士班
92
Control charting is a graphical expression for monitoring process. In this paper, we develop the economic design of the variable sampling intervals EWMA control chart determined by the parameter set(the sample size, the control limit, the warming limit, the short sampling interval, the long sampling interval and the weight constant) that minimizes the total cost. Use the genetic algorithm to search for the optimal parameter set and illustrate the solution procedure by an example. Sensitivity analysis is then carried out to investigate the effects of model parameters on the solution of the economic design.
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Su, Chia-Yi, and 蘇珈儀. "Economic Design of X ̅ Control Chart for Multiple Assignable Causes." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/zp4c4t.
Full textAbstract:
博士國立交通大學
工業工程與管理學系
100
In this dissertation, we analyze the economic design of -control charts and extend the model for the case of multiple assignable causes to allow for the second occurrence of an assignable cause following the first occurrence. In addition, two process failure mechanisms are investigated in different manufacturing environments. One is the Exponential failure mechanism in a continuous flow process and another is the Weibull failure mechanism in a discrete part process. For those two models, the expected loss-cost functions are established by the sampling scheme and cost structure. Optimal values of the economic design parameters including the sampling size( ), the sampling intervals ( ) and control limit coefficient ( ) are determined by minimizing loss-cost functions. Because of sensitivity investigation on the model with critical input parameters may provide some answers for the model analyst. A sensitivity analysis is provided to discuss how the model can be affected by the time parameters or cost parameters in the investigated model. For illustration purpose, numerical results are also presented. Subsequently, we perform comparative analysis between the model that once an assignable cause occurs, no further assignable causes will occur and the modified model that allow for the second occurrence of an assignable cause following the first occurrence. Our numerical investigations showed that a modified model should be helpful in reducing the quality cost and increasing competitiveness in a discrete part process.
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Shi-Tzung, Hung, and 洪錫璁. "Study of Decision Process Flow Chart in A Design Team." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/67580691217875487521.
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碩士國立臺灣大學
機械工程學研究所
87
Design activity is a mutual affecting process in a team of professionaldesigners. Although a lot of articles contribute to the description of designprocesses, few discuss the issue of how a design team takes action in different design situations.In this research, the author utilizes Vroom and Yetton''s Decision ProcessFlow Chart of organizational behavior to combine decision-making processes with design situations, and develop a modified Decision Process Flow Chart. A design team thus can take proper action in different design situations, and an operation menu is provided. Several mechanical design problem are applied to present its operation procedures.
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Hsu, Chi-Jen, and 許濟人. "A Multimedia Authoring System Based on Flow-Chart Design Method." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/28844256764068077104.
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碩士淡江大學
資訊工程研究所
81
In the past, the multimedia application programs were developed under straight way. That is, after the programmer types his program codes by a text editor, the program codes are translated by a compiler or interpreter into executable machine codes. However, it would be a hard work to develop the multimedia application programs in such an environment. The designer is supposed to well define data types and each function or procedure; besides, the designer has to control the flow of the program properly. Nevertheless, it is known that debugging a program requires much time and efforts. And that is the reason why such kind of application programs do not satisfy us both on the time spent and the quantity pro- duced, and that is the reason why we need the multimedia authoring system so much. The so-called multimedia authoring system, briefly speak- ing, is to provide a convenient environment for designers to edit their multimedia data and control the flow of program in order to reduce or dismiss the demand for debugging a program ; thereby , the quantity of multimedia applications will be enriched and the developing time will be greatly reduced. The system introduced here aims to provide the designers of multimedia application programs a convenient working en- vironment. Therefore, with respect to the user interface,the system has convenient graphic user interface, so that the users can proceed to all permitted operations by the use of pull-down menus. In regard to the flow control, the system adopts high friendly flow-chart design method. Using this this method , what the users have to do is to make use of various icons supplied by the system to compose the entire flow chart of their application program.
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林全能. "Economic design of X control chart with dynamic sampling intervals." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/54518580111216399453.
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Chen, Shao-Hua, and 陳紹華. "Design of Low Cost Electronic Chart System for Safe Navigation." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/20738300639242745338.
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碩士國立臺灣海洋大學
通訊與導航工程系
96
Nowadays, international trade is developed at full speed, the maritime vessels is getting more and more, the vessel’s speed is quicker and quicker, the traffic density is concentrative and concentrative, so the collision accident of the sea is getting more and more. Among them can be said the artificial careless mistake is the most important factor taking place in calamity of the sea, it’s proportion is even up to 85%. This research has combined ENC (Electronic Navigational Chart) and GPS, the early warning watching work will operate automatically by computer, it’s purpose is that abate artificial trouble effectively and augment safe navigation availably. The main program of ECS (Electronic Chart System) in this thesis, it was made up of many different program parts and designed by some open source license software that makes it free to use in networks, such as GDAL/OGR, Python, etc. This system can open and read the official S-57 ENC (Electronic Navigational Chart) base cell and update cell. This system can mark the GPS location on the ENC and show the GPS information like latitude, longitude, SOG (Speed Over Ground) and COG (Course Over Ground). User can draw and set the predetermined sea route, and this system will calculate the accurate sea route distance of the ellipsoid earth model that used Vincenty’s formula. When GPS was operating, this system can scan and find some warning feature object, such as obstruction, wreck, underwater rock, shoal depth area, etc. and this system can watch vessel to avoid a deviation that will be happened. ECDIS (Electronic chart Display and Information System) specification is a generally acknowledged international standard norm in the world, though this system doesn’t have accorded ECDIS specification totally, but this system is really ECS (Electronic Navigational Chart) that one possesses several utility functions and has friendly Chinese graphical user interface, the automatic early warning watching function with computer operating quickly will augment sailing efficiency and facilitate safe navigation availably.
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Hsieh, Tsung Sheng, and 謝宗勝. "Design and Computerization of a Tabular CUSUM Median Control Chart." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/26251528738622061628.
Full textAbstract:
碩士聖約翰科技大學
工業工程與管理系碩士班
97
When the process is outliers-existing, using the traditional mean control chart for monitoring the process mean will lead to high level of false alarms. Using the median control chart will be a robust choice. Recently there are some median control charts introduced. In this work, a CUSUM median control chart is developed. The result reveals that the CUSUM median is outliers-resistant and fast-detecting in small shift of the process mean. Combining with a quality cost model, this package is easy-to-use and under Chinese interface.This package can be installed in PC environment. Some research data and an illustrative operational manual are also built-in. The user can learn and execute it easily. With the aid of computer, the relative calculation time is greatly shortened, and the computational errors are prevented. This application software of CUSUM median control chart will be useful for the researchers and the practitioners.
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Jeng, Ming-Fang, and 鄭明芳. "Economic Design of S Control Chart : A Renewal Theory Approach." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/38864992625005373523.
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Yi-Kun, Chang, and 張義坤. "Minimum Loss Design of T SQUARE the Bivariate Control Chart." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/03965166858648883847.
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碩士國立雲林科技大學
工業工程與管理研究所
86
The economic design of control have been developed since the 1960s.The cost function of the traditional economic design of control charts is focused on minimizing the poduction cost , and consequently ignoring the society loss after the products are shipped . In this project , we add the bivariate loss function to the cost function of the traditional economic design and modify the cost function model of the loss design of the multivariate control chart, and then develop the minimum loss design of the bivariate control chart. In the minimum loss design of the bivariate control chart , there are three parameters to be determined ： the sample size (n) , the production volume between two consecutive samplings, and the control limits of the control chart. The objective function of this design is to minimize the total cost per unit , including both production cost society loss. The concept of loss function is introduced by Dr G . Taguchi . In the expression of loss function , the society loss occurs as long as the concerned quality characteristic deviates from its target. This concept is more consistent with "continuous improvement " which is emphasized by total quality management ( T Q M ) . Reducing the variability among the products and making the quality characteristic as close as its target is a basic way to decrease the quality cost.
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Huan-Tang, Lin. "The Statistical Design of the Xbar Control Chart for ARTA processes." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0017-1901200710300638.
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Liu, Bing. "Vibration data modeling and design of multivariate EWMA chart for CBM." 2006. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=449925&T=F.
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Huang, Chih Chuen, and 黃志全. "Economic Design of EWMA Control Chart Using the Taguchi Loss Function." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/65914041110768689276.
Full textAbstract:
碩士國立雲林科技大學
工業工程與管理研究所
87
This research is based on Duncan’s (1956) cost model to develop an economic design of EWMA control chart. Taguchi’s loss function which is more suitable for today’s quality cost definition was adopted in formulating the cost model. In order to investigate the effects of loss function on the economic design of control chart, a comparison between EWMA control chart and X-bar control chart was conducted. A sensitive analysis was also performed for the model developed. Result show that the optimal value of weighting constant (r) is not necessarily small from an economic viewpoint. Parameters related to loss function such as A , P , and △ have major influence on the expected cost function.
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Main-Tzonq, Tsai, and 蔡綿綜. "Computer-Aided Design of Tolerance Chart for Components with Angular Cuts." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/68946944985409759860.
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碩士國立臺灣科技大學
工程技術研究所
81
In the process of precision manufacturing, tolerance harts play an important role in the planning of productionrocess as well as in which control of product quality. Foromponents with angular surfaces, a class of equations haveeen formulated to deal with the variations of horizontalimensions and tolerances which are resulted from radial cutsr normal cuts. Instead of the existing heuristic,xperience-based methods, this thesis presents a new approachn which process tolerances and stock removals areimultaneously allocated through an optimization program. Inhe part of the optimal design, manufacturing cost whicharies with process tolerance and stock removal at eachndividual cuts, was chosen as the objective function to beinimized.
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Li, Yang-Jung, and 李陽榮. "The Design of Goal Average Control Chart through a Skewness Correction." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/12434712546830967357.
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碩士高苑科技大學
經營管理研究所
97
Process capability index and control chart are important tools in the statistical quality control and they have a good effectiveness on monitoring and improving a process. The study considers the process capability index, quality loss function and skewness correction method to conduct a goal control chart. The proposed control chart is more suitable to be used to monitor a non-normal process than a traditional control chart. Moreover, the proposed control chart has low type I error probabilities on monitoring a non-normal process since it employs skewness correction method to determine control limits and provides a goal suggestion of quality improvement. This study also considers the proposed goal control chart using the top of a motor evaporator. In the example, the goal standard deviation and control limits can help practitioners in making production decisions and improving a process.
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Liu, Yi-Chang, and 劉益彰. "On the Design of the BICM-ID Systems with EXIT Chart." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/22440013649520426481.
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碩士國立交通大學
電信工程系所
94
In the bit-interleaved coded modulation systems with iterative decoding (BICM-ID), a good labeling (bit mapping) is one of the key factors that dictate the system performance. In this thesis, Extrinsic Information Transfer (EXIT) chart, a popular tool to analyze the convergence behavior of an iterative decoding system, is employed for the labeling design. By changing the slopes of the detector transfer curves and selecting the most suitable labeling for the outer code, we show that the system performance can be significantly improved. In addition, EXIT chart is employed to design good trellis-pruned and punctured convolutional codes in BICM-ID systems to provide different levels of performance and code rate trade off.
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Lin, Huan-Tang, and 林煥唐. "The Statistical Design of the Xbar Control Chart for ARTA processes." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/51369073638804575308.
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碩士中原大學
工業工程研究所
94
This thesis is to explore the control chart design for application to the corre-lated data. We assume that the quality characteristic X follows an ARTA(p) process, which is a covariance stationary process with an arbitrary marginal distribution. A considerable number of previous works have been dealing with the control chart de-sign for correlated normality data, little has been endeavored to the effect of the cor-related non-normality data. In this thesis, we assume that each item is inspected and its quality characteristic is measured at the moment it is produced. Hence, we consider only two parameters: sample size m and control-limit factor k for the design chart. We develop an op-timization model for the control chart design with correlated non-normality data. The rationale for the model is to look for the optimal design parameters so as to maximize the out-of-control performance with specific mean shift, under a fixed performance of in-control process. We propose a procedure of simulation, incorporated with retro-spective approximation, to find the optimal design of control chart. In addition, we also examine the effects of correlated non-normality data on the design parameters. From the results of simulation experiments, our findings reveal that the control chart design requires larger sample size as the data get higher positively correlated. For stronger negative correlation, the sample size does not change monotonically with the magnitude of correlation. Additionally, a larger sample is required for non-normal marginal distributions, such as exponential, lognormal, and t distributions, than for the normal marginal distribution with same lag-p autocorrelations. (Our empirical results only show p=1.) In addition, we compare the chart to the ARMAST chart in different corre-lated data. The data processes we selected are AR(1) process and ARTA(1) with U(0,1) marginal distribution. The results indicate that the application of chart is more robust than ARMAST chart with non-normality marginal distribution.
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Shieh, Michelle, and 謝美秀. "The Economic Design of S Control Chart Using Markov Chain Method." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/81000118655422586753.
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Hsieh, Jen-Yu, and 謝仁宇. "The Design of Risk-adjusted CUSUM Chart for Urinary tract Infection." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/87685895248068571656.
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碩士國立雲林科技大學
工業工程與管理研究所碩士班
100
Nosocomial infection is one of the most common issues in hospital. Not only does nosocomial infection dangers patients’ lives, it also increases patients’ cost and wastes medical resources, in addition to, raises the death and recurrence rates. The Center for Disease Control of the Health of Department announced that the percentage of the urinary tract infection was 39 percents from 1999 to 2009. This shows that it is easy for patients to get urinary tract infection when they had treatments in hospital. The goals for the department for infection control are to detect the abnormal situation and to find out the solutions as soon as possible. This study proposes that nosocomial infection can be determined by using the risk-adjusted CUSUM control chart to find nosocomial infection as early as possible for fear of getting worse in hospital. The result shows that the important factors are patients’ age and gender, as well as if they had any surgeries or invasive devices or not. The results shows that using the risk-adjusted CUSUM control chart can detect the abnormal situation earlier and decrease the false-positive rate by comparison
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HSU, FU-HSIN, and 許馥欣. "Economic design of two-stage control chart with skew-normal components." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/mqxng2.
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碩士國立臺北大學
統計學系
107
In many cases of quality control, the cost is too high to monitor the performance variable, but it could be economical to monitor its surrogate. In this study, we consider a two-stage control chart by using both the performance variable and its high-correlated surrogate variable in an alternative fashion. The components of the performance varialbe and the surrogate variable are assumed to follow the Azzalini's skew-normal distribution with different skewness parameters. This in turn implies that the distribution of the performance variable and the surrogate variable is an extention to the Azzalini's skew-normal distribution. We will study the properties of the new class of the extented skew-normal distribution. Furthermore, we will investigate properties of the two-stage control chart under this extended model of the sample mean by the expected net income per unit time.