scholarly journals Statistical control of the production process of rolled products

2018 ◽  
Vol 20 (20) ◽  
pp. 26-31 ◽  
Author(s):  
Krzysztof Knop
Keyword(s):  
Statistical Analysis ◽  
Production Process ◽  
Normal Distribution ◽  
Control Charts ◽  
Statistical Control ◽  
Measurement Results ◽  
Corrective Actions ◽  
Fmea Method ◽  
The Stability ◽  
Level Of Risk

Abstract The article presents the results of the use of SPC tools, i.e. control charts and indicators of the qualitative capability to assess the stability and capability of the production process of rolled products - I-sections. Statistical analysis of the collected data regarding the selected feature of the analysed product - the width of the foot, and the normality of the distribution were done, which showed that the obtained distribution of measurement results is not a normal distribution. As a result, appropriate SPC procedures for non-normal distribution were used. The Pareto-Lorenzo diagram and FMEA method were also used to obtain information about the structure of non-conformities of the analysed product and the level of risk associated with them. This information was used to propose corrective actions and improve the production process of rolled products.

scholarly journals Estimation of production consistency of diphtheria, tetanus, and pertussis components of the DTP vaccine using Shewhart charts

2021 ◽  
Vol 21 (4) ◽  
pp. 256-265
Author(s):  
I. A. Alekseeva ◽  
O. V. Perelygina ◽  
E. D. Kolyshkina
Keyword(s):  
Control Charts ◽  
Large Population ◽  
National Standards ◽  
Statistical Control ◽  
Technological Processes ◽  
Shewhart Control ◽  
Dtp Vaccine ◽  
The Stability ◽  
And Control ◽  
Shewhart Charts

The Russian Federation puts special emphasis on vaccination-related issues, in accordance with the WHO recommendations. The fact that vaccination, in particular with the diphtheria, tetanus, and pertussis vaccine (DTP vaccine), covers large population groups, accounts for the relevance of research aimed at improving the quality of vaccines. One of the ways to produce vaccines of assured quality is to maintain consistent manufacturing processes that ensure consistency of product characteristics. The stability of the technological processes may be assessed using Shewhart charts. The aim of the study was to assess the production consistency of diphtheria, tetanus, and pertussis components of DTP vaccine using Shewhart control charts. Materials and methods: the study used data from 60 batch summary protocols of a Russian-produced DTP vaccine that were submitted to the Testing Centre of the Scientific Centre for Expert Evaluation of Medicinal Products from September 2017 until April 2020. The study assessed one of the main vaccine quality characteristics—specific (protective) activity of diphtheria, tetanus, and pertussis components. Shewhart charts for the diphtheria and tetanus components were constructed based on the manufacturer’s summary protocols, while Shewhart charts for the pertussis component were constructed based on both summary protocols and the results obtained by the Testing Centre during certification of the product batches. The Shewhart charts were used in accordance with the national standards GOST R 50779.42-99 and GOST R ISO 7870-2-2015. Results: a retrospective analysis of R- and X-charts covering a 2.5-year period revealed some characteristic trends in special-cause criteria. The most alarming situation was observed for the production of the diphtheria component. The technological processes were somewhat safer in the case of the tetanus and pertussis components. The production process lacked due statistical control, which is confirmed by the lack of correlation between the results of the pertussis component activity assessment obtained by the manufacturer and the Testing Centre. Conclusions: during the analysed period, the production of the diphtheria, tetanus, and pertussis components of the DTP vaccine was not always consistent. This highlights the need to conduct research aimed at standardisation of both production processes and control test conditions.

scholarly journals Statitstical Analysis of Correctness of Seaming Canned Food in Food Production with the Use of Standard Control Chart

2019 ◽  
Vol 23 (4) ◽  
pp. 31-39
Author(s):  
Michał Michałowski ◽  
Sylwia Mierzejewska ◽  
Krzysztof Kukiełka ◽  
Aldona Bać ◽  
Joanna Piepiórka-Stepuk
Keyword(s):  
Statistical Analysis ◽  
Control Chart ◽  
Control Charts ◽  
Food Production ◽  
Canned Food ◽  
Canned Fish ◽  
The Stability ◽  
Made In

AbstractThe paper presents a study on the control of the canned fish seaming with the so-called double seam and statistical analysis of correctness of seaming. The use of standard control charts enabled observation and intervention in case irrelevant parameters occur to keep the stability of the process. Based on the analysis made in Statistica program, a moment could have been captured when a machine had to be regulated in case the value of parameters of the double seam decreased and it had to be concluded unanimously when the most important seaming tools (rolls) should be replaced. A problem that had been solved consists mainly in ensuring the stability of the process during constant monitoring of the seaming process of the canned food.

Analysis of the Stability of the Chemical Composition of Wastewater in the Production of Printed Circuit Boards

2019 ◽  
Vol 23 (5) ◽  
pp. 47-51 ◽  
Author(s):  
V.N. Klyachkin ◽  
K.S. Shirkunova ◽  
A.D. Bart
Keyword(s):  
Chemical Composition ◽  
Process Control ◽  
Normal Distribution ◽  
Statistical Methods ◽  
Control Chart ◽  
Control Charts ◽  
Printed Circuit Boards ◽  
Circuit Boards ◽  
Printed Circuit ◽  
The Stability

A method for analyzing the stability of the chemical composition of wastewater in the manufacture of printed circuit boards using statistical methods of process control is proposed. The correlation and normal distribution of the monitored indicators is evaluated. Types of control charts are selected that provide control of both the average level of the process and its dispersion. To control the stability of independent indicators, Shewhart charts are used. Monitoring of correlated indicators is carried out using the Hotelling control chart. If it is necessary to control the multidimensional dispersion of the process, generalized variance charts can be used. The proposed approach ensures the detection of process violations before the monitored indicators are out of tolerance.

Statistical Analysis of the Equivalent Noise Level

2015 ◽  
Vol 39 (2) ◽  
pp. 195-198 ◽  
Author(s):  
Wojciech Batko ◽  
Bartosz Przysucha
Keyword(s):  
Statistical Analysis ◽  
Probability Density Function ◽  
Normal Distribution ◽  
Probability Density ◽  
Noise Level ◽  
Sound Level ◽  
Uncertainty Calculation ◽  
Measurement Results ◽  
Interval Value

Abstract The authors focus their attention on the analysis of the probability density function of the equivalent noise level, in the context of a determination of the uncertainty of the obtained results in regard to the control of environmental acoustic hazards. In so doing, they discuss problems of correctness in the applicability of the classical normal distribution for the estimation of the expected interval value of the equivalent sound level. The authors also provide a set of procedures with respect to its derivation, based upon an assumption of the determined distribution of the measurement results. The obtained results then create the plane for the correct uncertainty calculation of the results of the determined controlled environmental acoustic hazard coefficient.

scholarly journals Stability assessment of sulphur (II) compounds in medicinal water from B-8b Michał intake in Busko-Zdrój

2020 ◽  
Vol 18 (1) ◽  
pp. 17-23
Author(s):  
Iwona Lipiec ◽  
Piotr Rusiniak
Keyword(s):  
Statistical Analysis ◽  
Control Charts ◽  
Raw Material ◽  
Stability Assessment ◽  
Data Set ◽  
Individual Measurement ◽  
Measurement Control ◽  
Random Variability ◽  
Spa Treatment ◽  
The Stability

AbstractIn this paper, the stability of sulphur (II) compounds determined as the sum of hydrogen sul-phide, hydrosulphides and sulphides was evaluated in groundwater sourced from the B-8b Michał intake. Sulphide waters are a valuable raw material used as a basis for spa treatment in Busko-Zdrój. Based on the chemical composition analyses conducted in the years 1946–2018, a general analysis of random variability and statistical analysis of data was performed using PS IMAGO 5.0.1 software. Stability assessment was carried out on the data set for the 2009–2018 period on the basis of individual measurement control charts. Trend analysis was also performed using the GWSDAT software.

scholarly journals Control charts applied to pig farming data

2009 ◽  
Vol 52 (3) ◽  
pp. 272-283 ◽  
Author(s):  
J. Engler ◽  
K.-H. Tölle ◽  
H. H. Timm ◽  
E. Hohls ◽  
J. Krieter
Keyword(s):  
Production Process ◽  
Control Chart ◽  
Control Charts ◽  
Moving Average ◽  
Service Rate ◽  
Cusum Chart ◽  
Statistical Control ◽  
Process Data ◽  
Small Deviations ◽  
On Farm

Abstract. Statistical control charts are effective tools to reveal changes in a production process. The CUSUM (cumulative sum) and the EWMA (exponentially weighted moving average) control chart are used to detect small deviations in a process. Data from two sow herds, herd A and herd B, were collected from 1999 to 2004. Farm A had an average number of 530 breeding sows, Farm B had an average of 370 breeding sows. Both herds were diagnosed with Porcine Reproductive and Respiratory Syndrome (PRRS). The weekly means of the number of piglets weaned (NPW), the pre-weaning mortality (PWM) and return to service rate (RSR) were analysed with different settings of the CUSUM as well as the EWMA control chart to reveal a shift in the production process. For the pre-weaning mortality and the number of piglets weaned, the two charts detected a change in the process 4 weeks (Farm A) and 2 weeks before (Farm B) PRRS was diagnosed. The CUSUM and the EWMA chart revealed a shift in the return to service rate on Farm A 3.5 months before PRRS was detected. On Farm B, the signal occurred 6 weeks before the infection was detected. The CUSUM and the EWMA control charts were effective tools for detecting small deviations in sow herd data. Compared with EWMA, the use of the CUSUM chart is more straightforward and the settings are more easily handled. The CUSUM chart is therefore the preferred option for use in practice.

Verification of the Calculation Assumptions Applied to Solutions of the Acoustic Measurements Uncertainty

2015 ◽  
Vol 39 (2) ◽  
pp. 199-202
Author(s):  
Wojciech Batko ◽  
Renata Bal
Keyword(s):  
Normal Distribution ◽  
Confidence Intervals ◽  
Uncertainty Of Measurement ◽  
Acoustic Measurements ◽  
Uncertainty In Measurement ◽  
Sound Levels ◽  
Measurement Results ◽  
Analysis Of Results ◽  
Essential Problem ◽  
Expression Of Uncertainty

Abstract The assessment of the uncertainty of measurement results, an essential problem in environmental acoustic investigations, is undertaken in the paper. An attention is drawn to the - usually omitted - problem of the verification of assumptions related to using the classic methods of the confidence intervals estimation, for the controlled measuring quantity. Especially the paper directs attention to the need of the verification of the assumption of the normal distribution of the measuring quantity set, being the base for the existing and binding procedures of the acoustic measurements assessment uncertainty. The essence of the undertaken problem concerns the binding legal and standard acts related to acoustic measurements and recommended in: 'Guide to the expression of uncertainty in measurement' (GUM) (OIML 1993), developed under the aegis of the International Bureau of Measures (BIPM). The model legitimacy of the hypothesis of the normal distribution of the measuring quantity set in acoustic measurements is discussed and supplemented by testing its likelihood on the environment acoustic results. The Jarque-Bery test based on skewness and flattening (curtosis) distribution measures was used for the analysis of results verifying the assumption. This test allows for the simultaneous analysis of the deviation from the normal distribution caused both by its skewness and flattening. The performed experiments concerned analyses of the distribution of sound levels: LD, LE, LN, LDWN, being the basic noise indicators in assessments of the environment acoustic hazards.

Statistical Management of Food Production Processes

2020 ◽  
pp. 30-35
Author(s):  
N.A. Jurk ◽  
Keyword(s):  
Production Process ◽  
Control Chart ◽  
Food Production ◽  
Time Interval ◽  
Bakery Products ◽  
Shewhart Control ◽  
Manufactured Products ◽  
Mnemonic Technique ◽  
The Stability

The article presents scientific research in the field of statistical controllability of the food production process using the example of bakery products for a certain time interval using statistical methods of quality management. During quality control of finished products, defects in bakery products were identified, while the initial data were recorded in the developed form of a checklist for registering defects. It has been established that the most common defect is packaging leakage. For the subsequent statistical assessment of the stability of the production process and further analysis of the causes of the identified defect, a Shewhart control chart (p-card by an alternative feature) was used, which allows you to control the quality of manufactured products by the number of defects detected. Analyzing the control chart, it was concluded that studied process is conditionally stable, and the emerging defects are random. At the last stage of the research, the Ishikawa causal diagram was used, developed using the 6M mnemonic technique, in order to identify the most significant causes that affect the occurrence of the considered defect in bakery products. A more detailed study will allow the enterprise to produce food products that meet the established requirements.

The effects of three statistical control charts on task performance

2004 ◽  
Vol 15 (3) ◽  
pp. 313-323 ◽  
Author(s):  
Kuoh How Ong ◽  
Craig M. Harvey ◽  
Randa L. Shehab ◽  
Jerry D. Dechert ◽  
Ashok Darisipudi
Keyword(s):  
Task Performance ◽  
Control Charts ◽  
Statistical Control
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