This paper is to present design principle and operation strategy of acceptance control chart by the use of OC-Based sampling inspection for continuous data. The unified control limits for acceptance control chart when considering both APL(Acceptable Process Level) and RPL(Rejectable Process Level) are proposed. The control limits can be also extended to the acceptance control chart with unknown process standard deviation.

This paper discusses tests of factor effect or contrast by the use of saturated design Kn factorial design. The nine nonparametric rank measures in normality test using normal probability pot are proposed. Length's PSE(Pseduo Standard Error) test [4] which relies on the concept of effect sparsity is also introduced and extended to the margin of error(ME) and Simultaneous margin of error(SME).

Analysis of Means(ANOM) is a visualization tool for comparing several means to the grand mean like control chart type. This paper reviews five ANOM methods for continuous data such as ANOM, ANOME (ANOM for Treatment Effects), ANCON (Analysis of Contrasts), ANOMV (ANOM for Variance), ANOMC (ANOM for Correaltion). Three ANOM tools for discrete data such as ANOMNP (ANOM for Nonconforming Proportions), ANOMNC (ANOM for Nonconforming Unit), ANOMNPU (ANOM for Nonconfirmities Per Unit) are also developed.

The present study contributes reviewing and suggesting various models for measurement system analysis (MSA). Measurement errors consist of accuracy, linearity, stability, part precision, repeatability and reproducibility (R&R). First, the major content presents split-plot design, and the combination method of crossed and nested design for obtaining gage R&R. Second, we propose x-s variable control chart for calculating the gage R&R and number of distinct category. Lastly, investigating the determination of gage performance curve which establishes the control specification propagating calibration uncertainties and measurement errors is described.

This paper presents real examples of quality statistics for users to easily understand the concept and purpose for obtaining the degree of freedom. Moreover degree of freedom by Satterwaite can be used for linear combinations of unbiased variance. Finally effective degree of freedom by Welch-Satterthwaite is applicable to obtain expanded uncertainty considering type A and type B uncertainty.

This paper introduces service quality systems such as furniture removal for households, carriage of parcels, commercial motorcycle carriage service, the service for warehousing, car rental services, exhibition service, security service, and, facility management services. These service quality systems include terminology, process, and, infrastructure.

This study presents service quality systems such as wedding ceremony service, postpartum care service, funeral home services, crematory services, cemetry and charnel grave services, and charnel house services. These service quality systems include process, infrastructure, and terminology.

This paper deals with service quality systems such as nonstore selling service, telemarketing services, call center services, market and opinion research service, franchise service, and, institutional feeding service. These service quality systems include process, infrastructure, and, requirements for the training and development of agents and staffs.

This study presents service quality systems such as automobile industry insurance, personal accident insurance service vehicle repair and tow services, and, the service for buying and selling of used motor vehicles. These service quality systems include contracting services, payment service, infrastructure, adjustment service, and, process.

This paper introduces service quality systems such as tourism service, outbound travel services, domestic travel services, condominium services, and, foodservice golf club services, These service quality systems include terminology of travel agencies and tour operators, process, infrastructure, and, terminology of hotels and other types of tourism accomodation.

This paper introduces radio frequency identification(RFID) information technologies for item management such as application interface of data protocol, data encoding rules and logical memory functions for data protocol, and, unique identification for RF tags. This study presents reference architecture and definition of parameters to be standardized, various parameters for air intreface communications, and, application requirements profiles.

This paper presents geometrical product specifications of acceptance and verification tests for coordinate measuring machines(CMM). These specifications include vocabulary, measuring size, rotary table with fourth axis, scanning measuring mode, multiple-stylus probing systems, measuring, and, estimation of errors in computing Gaussian associated features.

This study introduces 2007 criteria of Malcom Baldridge National Quality Award (MBNQA) for performance excellence. Baldridge criteria is composed of the seven categories such as leadership, strategic planning, customer and market focus, measurement, analysis, and knowledge management, workforce focus, process management, and results. Moreover this paper proposes various integrated systems with MBNQA.

This study introduces acceptance sampling plans and procedures for the inspection of bulk materials. This paper also presents statistical aspects of sampling bulk materials such as general principles and sampling of particulate materials.

This paper deals with conformity assessments requirements for accreditation and certification bodies. This study also introduces conformity guidances of product certification and code of good practice. This paper presents general requirements for accreditation, recognition and registration bodies of environmental quality system and product certification.

This paper is to present linkage parameter to integrate statistical models and physical models for accelerated life test. Statistical models represent the relationship of probability distribution and life. Physical models show the relationship of life and stress. Moreover, this study proposes the four steps for construction of integrated models for accelerated life test using linkage parameter. Finally, this paper develops new integrated models such as extreme value distribution-general Eyring, linearly increasing failure rate function-general Eyring, etc., and estimates various reliability measures.

This paper presents various interval estimation methods of binomial proportion for small n in multi-product small volume production and extremely small ^P like PPM or PPB fraction of defectives. This study classifies interval estimation of binomial proportion into three categories such as exact, approximate, Bayesian methods. These confidence intervals proposed in this paper can be applied to attribute process capability and attribute acceptance sampling plan for PPM or PPB.

This paper is to introduce attribute acceptance sampling plan based on statistical inference of binomial proportions such as PPM or PPB. In addition, this paper presents three variable sampling acceptance sampling plans based on Cpm, Cpmk, and Taguchi's loss function. Producers are able to consider as not only external vendors but also internal customers.

Dependent models in quality statistics are classified as serially autocorrelated model, multivariate model and dependent sample model. Dependent sample model is most efficient in time and cost to obtain samples among the above models. This paper proposes to implement parametric and nonparametric models into production system depended on demand pattern. Nonparametric models have distribution free and asymptotic distribution free techniques. Quality statistical models are classified into two categories ; the number of dependent sample and the type of data. The type of data consists of nominal, ordinal, interval and ratio data. The number of dependent sample divides into 2 samples and more than 3 samples.

This paper presents three methods for expression of reliability measures for large and small data. First method is to express parametric estimation of cardinal reliability measure data for large sample, which requires numerous sample. Second is to obtain nonparametric distribution classification of ordinal reliability measure data for small sample. However it is difficult for field user to understand this method. Last method is to acquire parametric estimation of ordinal reliability measure data for small data. Because this method requires small sample and is comprehensive, we recommend this one among the proposed methods. Various reliability rank measures are presented.