scholarly journals Statistical Quality Control Charts Based on Hyper-Geometrically Distributed Data

2021 ◽  
pp. 24-34
Author(s):  
John E. Usen ◽  
Okim I. Ikpan ◽  
Mfawa D. Santos ◽  
Anthony A. Isaac ◽  
George C. MacGeorge ◽  
...  
Keyword(s):  
Quality Control ◽  
Control Charts ◽  
Geometric Distribution ◽  
Fixed Number ◽  
Control Limit ◽  
Statistical Quality Control ◽  
Distributed Data ◽  
Geometric Process ◽  
Statistical Quality ◽  
Geometric Processes

In some production and administrative processes, the occurrence of certain events is best described by a hyper-geometric distribution, which in turn should be pictorially depicted by what should be called a “hyper-geometric chart (Hg-chart)” in the field of Statistical Quality Control (SQC). However, this has never been the practice, since the existence of such a chart is absent; as such, prompting administrators and process engineers to make use of already existing charts for approximately depicting hyper-geometric processes. In this article, an SQC chart for any hyper-geometric process has been developed for the total number of events in a fixed number of units. This chart has been referred to as the Hg-chart. The center line (CC), lower control limit (LCL) and the upper control limit (UCL) have been obtained for the proposed chart with a sketch of how the proposed chart should be if used for simulation. It has been recommended that simulation should be used to test the proposed chart as this could prove to be more efficient and appropriate for describing hyper-geometric data rather than using an inappropriate chart to be an approximation for solving the problem.

scholarly journals PRODUCT QUALITY CONTROL ANALYSIS USING STATISTICAL QUALITY CONTROL (SQC) ON MARINE WORKS IN BUSINESS AMPLANG SAMARINDA

2020 ◽  
Vol 6 (1) ◽  
pp. 70-77
Author(s):  
Silvia Maulida Arianti ◽  
Emy Rahmawati ◽  
RR Yulianti Prihatiningrum
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Control Charts ◽  
Quantitative Research ◽  
Quantitative Methods ◽  
Control Measures ◽  
Control Limit ◽  
Statistical Quality Control ◽  
Control Analysis ◽  
Statistical Quality

Purpose of the study: The objectives of this study are: (i) To analyze the quality control of the products applied to the amplang Karya Bahari business based on Statistical Quality Control (SQC) tools, (ii) To find out and analyze what factors cause product damage/disability amplang work at the Maritime business in Samarinda. Methodology: This research uses quantitative methods discretionary quantitative research method that is research that is used to Investigate, find, describe, and explain the quality or features of social influences that can’t be explained or Described measured through a quantitative approach. The operational definitions of this research are (i) Quality control processes, (ii) Quality control measures. Types and sources of the data the primary use of data Obtained directly from the object of research. Data collection techniques are (i) observation, (ii) interviews, (iii) documentation, (iv) laboratory tests. Analysis of the Data used are: (i) collecting the data (check sheet), (ii) a histogram, (iii) making control charts, (iv) the causal diagrams, (v) the proposed improvements. Main Findings:  The results of the study suggest that Maritime work is applied to the already on the limit of control. It can be seen at chart, upper control limit (UCL) of 1 and the lower control limit (LCL) of 0.3362 under controlled conditions or reasonable limits, but in reality, they are experiencing product damage or defect in the production of amplang processing. Novelty/Originality of this study: This study is expected to be an additional reference for studies in the field production related to analysis quality control (quality control) and product quality by using Statistics Quality Control. This study is expected to provide information for the company about procedure control in keeping a quality product that will be produced.

Monitoring intensive care unit performance using statistical quality control charts

1993 ◽  
Vol 10 (3) ◽  
pp. 155-161 ◽  
Author(s):  
William H. Chamberlin ◽  
Kevin A. Lane ◽  
James N. Kennedy ◽  
Scott D. Bradley ◽  
Charles L. Rice
Keyword(s):  
Intensive Care Unit ◽  
Quality Control ◽  
Intensive Care ◽  
Control Charts ◽  
Statistical Quality Control ◽  
Statistical Quality ◽  
Quality Control Charts ◽  
Unit Performance

scholarly journals ANALISIS KECACATAN PRODUK ROTI PIA DENGAN METODE STATISTICAL QUALITY CONTROL (Studi Kasus di Sahabat Cake)

2020 ◽  
Vol 6 (2) ◽  
pp. 72
Author(s):  
Faizah Suryani
Keyword(s):  
Quality Control ◽  
Control Limit ◽  
Statistical Quality Control ◽  
Statistical Quality

Penelitian ini membahas mengenai cacat produk  yang terjadi pada industri rumahan pembuatan roti pia. Penelitian ini bertujuan untuk mengidentifikasi  penyebab kecacatan produk . Ada tiga jenis cacat yang terjadi pada industri ini meliputi gosong, cacat kemasan dan cacat bentuk. Analisa menggunakan histogram menunjukan bahwa cacat gosong mempunyai presentase yang tertinggi adalah 2.22%. Perhitungan menggunakan peta kendali didapatkan bahwa pada hari ke-26 cacat produk  melewati batas maksimal control limit yaitu sebesar 0.88. sehingga, faktor penyebab kecacatan produk mesti dianalisa dengan menggunakan diagram sebab akibat. faktor penyebab terjadinya cacat produk adalah faktor manusia, lingkungan, material, peralatan dan metode kerja yang belum ditangani secara baik.   Kata Kunci:  Cacat produk, kualitas, diagram kendali, histogram, diagram sebab akibat.

scholarly journals On-the-Fly Massively Multitemporal Change Detection Using Statistical Quality Control Charts and Landsat Data

2014 ◽  
Vol 52 (6) ◽  
pp. 3316-3332 ◽  
Author(s):  
Evan B. Brooks ◽  
Randolph H. Wynne ◽  
Valerie A. Thomas ◽  
Christine E. Blinn ◽  
John W. Coulston
Keyword(s):  
Quality Control ◽  
Change Detection ◽  
Control Charts ◽  
Statistical Quality Control ◽  
Landsat Data ◽  
Statistical Quality ◽  
Quality Control Charts

scholarly journals Control Charts: An Introduction to Statistical Quality Control.

1948 ◽  
Vol 43 (242) ◽  
pp. 343
Author(s):  
Joseph M. Juran ◽  
Mason E. Wescott ◽  
Edward S. Smith
Keyword(s):  
Quality Control ◽  
Control Charts ◽  
Statistical Quality Control ◽  
Statistical Quality

scholarly journals Analisis Pengendalian Kualitas Menggunakan Bagan Kendali Bivariat dengan Copula pada Industri Manufactur di Indonesia

2020 ◽  
Vol 6 (1) ◽  
pp. 27
Author(s):  
Tika Endah Lestari ◽  
Sri Susilawati Islam
Keyword(s):  
Quality Control ◽  
Distribution Function ◽  
Control Charts ◽  
Control Process ◽  
Simple Random Sampling ◽  
Statistical Quality Control ◽  
Consumer Decision Making ◽  
Manufacturing Companies ◽  
Statistical Quality ◽  
Quality Control Process

Product quality control is an important factor for the industrial world because good quality control and carried out continuously will be able to detect abnormal production results quickly, so that anticipatory action can be taken immediately. Quality is a major factor in consumer decision making before buying goods / services. The problem that occurs at this time in manufacturing companies in Indonesia is how the statistical quality control process can be applied properly. The purpose of this statistical analysis is to find out the statistical quality control process that is applied to manufacturing companies in Indonesia using bivariate control charts with copula. Copula is a function that combines a multivariate distribution function with a uniform one-dimensional marginal distribution function, in this condition the Copula used is the Archimedean Copula group. The method used in this data collection is a simple random sampling with the sample used are three manufacturing companies in Indonesia which covers the areas of Jakarta, Bandung and Makassar. The implementation of Copula in this control chart results in Frank Copula being the best Copula, this supports that the use of Copula in the quality control process has a good role

scholarly journals PENGENDALIAN KUALITAS DENGAN METODE STATISTICAL QUALITY CONTROL PADA RAMADHANI BAKERY AND CAKE

2021 ◽  
Vol 5 (1) ◽  
pp. 100-113
Author(s):  
Safrizal ◽  
Siti Zulaikha
Keyword(s):  
Quality Control ◽  
Control Limit ◽  
Statistical Quality Control ◽  
Statistical Quality ◽  
Lower Control Limit

Tujuan penelitian ini untuk menganalisis pelaksanaan pengendalian kualitas, jenis-jenis kerusakan, dan faktor yang menyebabkan kerusakan dalam proses produksi roti di UD. Ramadhani Bakery and Cake. Teknik pengumpulan data yang dilakukan dengan cara wawancara, observasi dan dokumentasi. Dalam pengolahan data penelitian ini menggunakan metode Statistical Quality Control (SQC) yaitu lembar periksa, diagram pencar, histogram, diagram pareto, diagram sebab akibat dan peta kendali. Hasil analisis data dan pembahasan menunjukkan bahwa proses produksi pada UD. Ramadhani Bakery and Cake sudah baik karena jumlah produk gagal masih berada pada batas wajar yaitu terletak antara Lower Control Limit (LCL) dan Upper Control Limit (UCL). Berdasarkan metode Statistical Quality Control (SQC) dapat disimpulkan jenis kerusakan yang terjadi di UD. Ramadhani Bakery and Cake adalah kerusakan paling banyak terdapat pada bentuk tidak seragam sejumlah 352 potong roti atau 41,86%, kemudian hangus sejumlah 250 potong roti atau 29,73% dan pecah sejumlah 239 potong roti atau 28,41%. Faktor yang menyebabkan kerusakan kegagalan produksi roti pada UD. Ramadhani Bakery and Cake cenderung lebih banyak diakibatkan oleh faktor metode dibandingkan dengan faktor lainnya

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