Application of the generalized folded-normal distribution to the process capability measures

2005 ◽  
Vol 26 (7-8) ◽  
pp. 825-830 ◽  
Author(s):  
P.C. Lin
Keyword(s):  
Normal Distribution ◽  
Process Capability ◽  
Folded Normal Distribution

scholarly journals KAPABILITAS PROSES KINERJA LAYANAN MAL PELAYANAN PUBLIK KOTA BOGOR

2020 ◽  
Vol 21 (2) ◽  
pp. 99-110
Author(s):  
Dewi Juliah Ratnaningsih ◽  
Liah Lestari
Keyword(s):  
Normal Distribution ◽  
Public Service ◽  
Process Capability ◽  
Consumer Perceptions ◽  
Service Process ◽  
Distribution Analysis ◽  
The Public ◽  
Process Capability Analysis ◽  
A Value ◽  
Capability Analysis

Public Service Mall (PSM) Grha Tiyasain Bogor City is one place that provides services to the public in terms of services. As a public service, Grha Tiyasa should measure whether the services offered to meet consumer expectations. The purpose of writing this paper is to analyze the capability of the process of issuing licensing services and consumer perceptions of services provided by PSMGrha Tiyasa. The process capability analysis criteria used are Pp and Ppk because the data is non-normal distribution. Analysis using Minitab 16.0. The results of the study show that the capability of the service process at the time of issuance of permits has a value of Pp = 1 and Ppk = 0.49. This value indicates that the process capability is excellent. The capability of the process of perception or assessment of consumers of services is quite good. This fact is indicated by the value of Pp = 5.52 and Ppk = 1.70. Mall Pelayanan Publik (MPP) Grha Tiyasadi Kota Bogor merupakan salah satu tempat yang memberikan pelayanan kepada masyarakat. Sebagai  pelayan publik, Grha Tiyasa harus mengukur apakah layanan yang ditawarkan memenuhi harapan konsumen. Tujuan penulisan makalah ini adalah untuk menganalisis kapabilitas proses pemberian layanan perizinan dan persepsi konsumen terhadap layanan yang diberikan oleh MPP Grha Tiyasa. Kriteria analisis kapabilitas proses yang digunakan adalah Pp dan Ppk karena data tidak berdistribusi normal. Analisis menggunakan Minitab 16.0. Hasil penelitian menunjukkan bahwa kapabilitas proses pelayanan pada saat izin diterbitkan memiliki nilai Pp = 1 dan Ppk = 0,49. Nilai ini menunjukkan bahwa kapabilitas proses sangat baik. Kemampuan proses persepsi atau penilaian konsumen terhadap jasa cukup baik. Fakta ini ditunjukkan dengan nilai Pp = 5,52 dan Ppk = 1,70.

Advanced Tolerancing Based on Product Performance by Using Statistical Tolerance Index Cpk and Cc

2012 ◽  
Vol 523-524 ◽  
pp. 781-786 ◽  
Author(s):  
Akimasa Otsuka
Keyword(s):  
Normal Distribution ◽  
Mass Production ◽  
Manufacturing Industry ◽  
Process Capability ◽  
Product Performance ◽  
Precision Machining ◽  
Tolerance Index ◽  
Control Performance ◽  
Functional Dimension ◽  
Statistical Tolerance

In this paper, the improvement of performance design for mass production are shown by using statistical tolerance index Cpk and Cc. Recently, the demand for product performance is getting higher. Meanwhile, precision machining and measurement are also developing in manufacturing industry. To satisfy consumer in terms of product performance, we have proposed advanced tolerancing method by using statistical tolerance index (STI). In this study, it is assumed that the performance of each product can be quantified and depends on the only functional dimension. It is also assumed that the dimension distribution of each machined part follows normal distribution. Consequently, performance of mass production can be quantified statistically. To control performance, we introduce STI which is composed of process capability limitation. After all, performance design is to calculate STI so as to satisfy the demand for performance. There are two problems in performance design. One is a synthesis of STI and another is an allocation of STI. These problems are just like the conventional tolerance synthesis and allocation problems. In this paper, the former problem is formulated algebraically.

SKEW NORMAL DISTRIBUTION AND THE DESIGN OF CONTROL CHARTS FOR AVERAGES

2007 ◽  
Vol 14 (01) ◽  
pp. 49-63 ◽  
Author(s):  
TZONG-RU TSAI
Keyword(s):  
Normal Distribution ◽  
Simulation Study ◽  
Control Charts ◽  
Process Capability ◽  
Considerable Improvement ◽  
Quality Characteristic ◽  
Skew Normal Distribution ◽  
Underlying Distribution ◽  
Simulation Results ◽  
Skew Normal

The paper develops two new control charts and process capability ratios based on the skew normal distribution to monitor the process average and evaluate the process capability of non-normal data. Both control charts reduce to Shewhart-type control charts when the underlying distribution of quality characteristic is symmetric. A simulation study is conducted to compare the performances of the proposed control charts with those of existing control charts. Simulation results indicate that considerable improvement over those of existing control charts can be achieved when the proposed control charts are used to monitor the process average of non-normal data. Two examples are presented for illustration.

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