scholarly journals The Use of Scan Statistics and Control Charts in Assessing Ventilator-Associated Pneumonia Quality Control Programs

2010 ◽  
Vol 1 (4) ◽  
pp. 579-593
Author(s):  
Brian Nathanson ◽  
Thomas Higgins
Keyword(s):  
Quality Control ◽  
Control Charts ◽  
Scan Statistics ◽  
Ventilator Associated Pneumonia ◽  
Control Programs ◽  
And Control

scholarly journals COLLABORATIVE TRIAL AND QUALITY CONTROL IN CHEMICAL ANALYSIS

2010 ◽  
Vol 2 (3) ◽  
pp. 135-141
Author(s):  
Narsito Narsito
Keyword(s):  
Quality Control ◽  
Chemical Analysis ◽  
Analytical Method ◽  
Control Charts ◽  
Analytical Data ◽  
Control Program ◽  
Quality Parameter ◽  
Quality Control Program ◽  
And Control

Abstract                                                             This paper deals with some practical problems related to the quality of analytical chemical data usually met in practice. Special attention is given to the topic of quality control in analytical chemistry, since analytical data is one of the primary information from which some important scientifically based decision are to be made. The present paper starts with brief description on some fundamental aspects associated with quality of analytical data, such as sources of variation of analytical data, criteria for quality of analytical method, quality assurance in chemical analysis. The assessment of quality parameter for analytical method like the use of standard materials as well as standard methods is given. Concerning with the quality control of analytical data, the use of several techniques, such as control samples and control charts, in monitoring analytical data in quality control program are described qualitatively.  In the final part of this paper, some important remarks for the preparation of collaborative trials, including the evaluation of accuracy and reproducibility of analytical method are also given Keywords: collaborative trials, quality control, analytical data Abstract                                                             This paper deals with some practical problems related to the quality of analytical chemical data usually met in practice. Special attention is given to the topic of quality control in analytical chemistry, since analytical data is one of the primary information from which some important scientifically based decision are to be made. The present paper starts with brief description on some fundamental aspects associated with quality of analytical data, such as sources of variation of analytical data, criteria for quality of analytical method, quality assurance in chemical analysis. The assessment of quality parameter for analytical method like the use of standard materials as well as standard methods is given. Concerning with the quality control of analytical data, the use of several techniques, such as control samples and control charts, in monitoring analytical data in quality control program are described qualitatively.  In the final part of this paper, some important remarks for the preparation of collaborative trials, including the evaluation of accuracy and reproducibility of analytical method are also given Keywords: collaborative trials, quality control, analytical data

Research on Statistical Process Control of Packaging & Printing Quality Management

2011 ◽  
Vol 467-469 ◽  
pp. 13-18
Author(s):  
Ying Zhe Xiao ◽  
Ya Nan Huang
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Statistical Process Control ◽  
Control Chart ◽  
Control Charts ◽  
Basic Tool ◽  
Statistical Process ◽  
Printing Quality ◽  
And Control ◽  
Development Course

This paper states not only the development course of quality management but also the actuality that the packaging & printing enterprise confronts. In addition, it explains the necessity of applying SPC. The first, it is discussed and studied the basic tool of SPC-control chart for statistical process. Based on this way, -R control chart is used to analyze and control the overprint precision. According to these control charts, the spot staffs can find the deficiencies in the quality control itself by finding the correlative process fluctuation and the slow variation in time. In addition, SPC provides objective bases for the quality management personnels to assess semi-products or products quality.

Small Shifts Quality Control Schemes under MMSE Feedback Adjustment

2014 ◽  
Vol 915-916 ◽  
pp. 1471-1475
Author(s):  
Hai Yu Wang
Keyword(s):  
Quality Control ◽  
Process Monitoring ◽  
Optimal Strategy ◽  
Control Charts ◽  
Adjustment Method ◽  
Control Actions ◽  
Control Schemes ◽  
Process Output ◽  
And Control

This paper discusses small shifts process monitoring under MMSE adjustment. Based on the analysis of affect of feedback adjustment method to effective of control charts, small shifts process monitoring schemes of process output and control actions are proposed. An optimal strategy is provided by comparing monitoring performances of different control charts with different small abnormal shifts.

Quality control issues in 3D-printing manufacturing: a review

2018 ◽  
Vol 24 (3) ◽  
pp. 607-614 ◽  
Author(s):  
Hsin-Chieh Wu ◽  
Tin-Chih Toly Chen
Keyword(s):  
Quality Control ◽  
3D Printing ◽  
Control Charts ◽  
Product Life Cycle ◽  
Three Dimensional ◽  
Effect Analysis ◽  
Content Type ◽  
Printing Quality ◽  
3D Printed ◽  
And Control

Purpose This study aims to investigate issues of quality and quality control (QC) in three-dimensional (3D) printing by reviewing past work and current practices. Possible future developments are also discussed. Design/methodology/approach After a discussion of the major quality dimensions of 3D-printed objects, the applications of some QC techniques at various stages of the product life cycle (including product design, process planning, incoming QC, in-process QC and outgoing QC) are introduced. Findings The application of QC techniques to 3D printing is not uncommon. Some techniques (e.g. cause-and-effect analysis) have been applied extensively; others, such as design of experiments, have not been used accurately and completely and therefore cannot optimize quality. Taguchi’s method and control charts can enhance the quality of 3D-printed objects; however, these techniques require repetitive experimentation, which may not fit the work flow of 3D printing. Originality/value Because quality issues may discourage customers from buying 3D-printed products, enhancing 3D printing quality is imperative. In addition, 3D printing can be used to manufacture diverse products with a reduced investment in machines, tools, assembly and materials. Production economics issues can be addressed by successfully implementing QC.

scholarly journals SEVEN TOOLS AS THE PROBLEM SOLVING WAYS T0 IMPROVE QUALITY CONTROL

2021 ◽  
pp. 10-15
Keyword(s):  
Quality Control ◽  
Problem Solving ◽  
Control Charts ◽  
Management Tools ◽  
Quality Improvement Process ◽  
Goods And Services ◽  
Customer Trust ◽  
And Control ◽  
Quality Tools

There are many ways for the company to reach a good standard for their goods and services. Standard is essential to achieve a level of customer trust. The company must be maintaining the quality of their services and products, including in this case the quality of goods beside the services. To ensure its achievement, a directed management system and processes are needed to achieve the level of customer trust. Many companies use quality tools to help monitor and manage their quality system. There are several types of tools that can be used. But the more, there are seven management tools for quality control are the most common. Seven tools can be used by any professional to ease the quality improvement process like flowcharts, check sheets, Pareto diagrams, cause and effect diagrams, histograms, scatter diagrams, and control charts. Key words : seven tools, control, quality, problem solving

FUZZY SET BASED PROTOCOLS FOR PROCESS QUALITY CONTROL

2006 ◽  
Vol 14 (01) ◽  
pp. 61-76 ◽  
Author(s):  
M. DELGADO ◽  
P. OLAVARRIETA ◽  
P. VERGARA
Keyword(s):  
Quality Control ◽  
Fuzzy Sets ◽  
Control Charts ◽  
Industrial Process ◽  
Process Quality ◽  
Simultaneous Control ◽  
Linguistic Rules ◽  
Study Process ◽  
Sampling Statistics ◽  
And Control

Industrial process quality control has as yet been carried out using Shewhart's classic charts and control charts with probabilistic limits, using sampling statistics for average and deviation [Formula: see text] and [Formula: see text], respectively, or Cp and Cpk, derived from them, in order to determine whether the process is precise or imprecise. Although these statistics has been formulated using crisp mathematics, their use returns statements about "quality control" which are full of vagueness (for example, the aforementioned idea of precise or imprecise processes). For this reason, it seems both natural and interesting to introduce tools from Fuzzy Sets Theory for the formulation of quality control models. Fuzzy Sets shall be used to study process quality capability and to generate a bilateral simultaneous control for the central tendency and a unilateral one for variability. We shall define linguistic rules in order to perform this control and membership functions for the sample control mean and deviation, [Formula: see text] and ŝ.

Perencanaan Pengendalian Kualitas Produk Pakaian Bayi dengan Metode Six Sigma Pada CV. AGP

JEMAP ◽  
2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Albertus Reynaldo Kurniawan ◽  
Bayu Prestianto
Keyword(s):  
Quality Control ◽  
Continuous Improvement ◽  
Six Sigma ◽  
Screen Printing ◽  
Control Method ◽  
Operational Performance ◽  
Machine Maintenance ◽  
Quality Product ◽  
Break Time ◽  
And Control

Quality control becomes an important key for companies in suppressing the number of defective produced products. Six Sigma is a quality control method that aims to minimize defective products to the lowest point or achieve operational performance with a sigma value of 6 with only yielding 3.4 defective products of 1 million product. Stages of Six Sigma method starts from the DMAIC (Define, Measure, Analyze, Improve and Control) stages that help the company in improving quality and continuous improvement. Based on the results of research on baby clothes products, data in March 2018 the percentage of defective products produced reached 1.4% exceeding 1% tolerance limit, with a Sigma value of 4.14 meaning a possible defect product of 4033.39 opportunities per million products. In the pareto diagram there were 5 types of CTQ (Critical to Quality) such as oblique obras, blobor screen printing, there is a fabric / head cloth code on the final product, hollow fabric / thin fabric fiber, and dirty cloth. The factors caused quality problems such as Manpower, Materials, Environtment, and Machine. Suggestion for consideration of company improvement was continuous improvement on every existing quality problem like in Manpower factor namely improving comprehension, awareness of employees in producing quality product and improve employee's accuracy, Strength Quality Control and give break time. Materials by making the method of cutting the fabric head, the Machine by scheduling machine maintenance and the provision of needle containers at each employees desk sewing and better environtment by installing exhaust fan and renovating the production room.

Studi Kualitas Puding Melalui Pendekatan Six Sigma Studi Kasus Di Pt. Keong Nusantara Abadi

2019 ◽  
Vol 1 (1) ◽  
pp. 44
Author(s):  
Rony Trizudha ◽  
Sri Rahayuningsih ◽  
Ana Komari
Keyword(s):  
Quality Control ◽  
Quality Improvement ◽  
Production Process ◽  
Product Quality ◽  
Six Sigma ◽  
Improve Quality ◽  
High Productivity ◽  
Fierce Competition ◽  
And Control ◽  
Technology Advances

As technology advances at this time, players in business are aware of the importance of product quality in the increasingly fierce competition in the industrial world due to the emergence of many similar companies. Therefore, companies must be able to compete to meet customer desires and try to retain customers. To maintain customers and their marketing areas, companies must have high competitiveness in order to survive by prioritizing quality improvement, increasing efficiency and increasing productivity to improve quality because by increasing quality, products can be accepted among consumers so that company goals can be fulfilled. Therefore, the company must carry out effective quality control which will result in high productivity, lower overall cost of making goods and the factors that cause production failure to be minimized. To improve quality, use the six sigma method, DMAIC and seven tools so that it can be known the cause of the damage and what actions are taken so that there needs to be a controversy to stabilize the processes of the production process so that we can know what percentage of damage and what factors cause damage, therefore there must be measurements and recommendations for improvement and control to reduce the causes From the analysis, it was found that the dent cup was 20.36%, the lid was 21.36% less dense, the lid was damaged in the finished product 18.72%, the cup was 19.28% less thick, the packaging was flexible 20.55%Seiring kemajuan teknologi pada saat ini pelaku di bisnis menyadari akan pentingnya kualitas produk dalam persaingan dunia industri yang semakin ketat karena banyak bermunculan perusahaan-perusahaan sejenis. Oleh sebab itu perusahaan harus dapat bersaing untuk memenuhi keinginan  pelanggan dan berusaha dapat mempertahankan pelanggan. Untuk mempertahankan pelangan dan wilayah pemasaranya perusahaan-perusahaan harus mempunyai daya saing yang tinggi untuk dapat bertahan dengan mengutamakan peningkatan mutu, peningkatan efisiensi dan peningkatan produktivitas untuk meningkatkan kualitas karena dengan peningkatan kualitas, produk dapat diterima di kalangan konsumen sehingga tujuan perusahaan dapat terpenuhi. Maka dari itu perusahaan harus melakukan pengendalian kualitas yang efektif akan menghasilkan produktivitas yang tinggi, biaya pembuatan barang keseluruhan yang lebih  rendah serta  faktor-faktor yang menyebabkan kegagalan produksi akan dapat ditekan sekecil mungkin. Untuk meningkatkan kualitas mengunakan metode six sigma, DMAIC dan seven tools agar dapat diketahui penyebab  kerusakan  dan  tindakan  apa  saja  yang dilakukan sehingga perlu ada kontror untuk menstabilkan  peoses proses produksi sehinga dapat di ketahui berapa persen  kerusakan dan faktor-faktor apa saja yang menyebabkan  kerusakan maka dari itu harus ada pengukuran dan  rekomendasi perbaikan serta melakukan kontrol untuk mengurangi penyebab kerusakan. Dari hasil analisis  di ketahui cup  penyok 20,36%, lid kurang  rapat  21,36%, lid  rusak  pada produk jadi 18,72%,cup kurang tebal 19,28 %kemasan lentur 20,55%

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