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.

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.

A control chart for severity index to detect drought compares favourably to logistic regression

2011 ◽  
Vol 42 (1) ◽  
pp. 1-9
Author(s):  
Jared Townsley ◽  
Justin R Chimka
Keyword(s):  
Logistic Regression ◽  
Control Chart ◽  
Control Charts ◽  
Severity Index ◽  
Drought Severity ◽  
Prediction Errors ◽  
Shewhart Control Charts ◽  
Shewhart Control ◽  
Accessible Method ◽  
Made In

We describe the discovery of how a traditional control chart for the Palmer Drought Severity Index (PDSI) to detect drought compares favourably to a theoretically appropriate statistical (logistic regression) model of drought as a function of PDSI. Our empirical results are based on monthly observations of PDSI, precipitation and temperature made in Kansas since 1895. Results from the study suggest that a relatively simple statistical approach based on Shewhart control charts may provide a more accessible method for relevant government agencies to predict droughts, improving resource management and preparation. Moreover, utilizing such an approach over more sophisticated methods may come at little expense regarding prediction errors.

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.

Design of a Variable Sampling Interval EWMA Median Control Chart

2019 ◽  
Vol 26 (05) ◽  
pp. 1950021 ◽  
Author(s):  
Kim Phuc Tran ◽  
Philippe Castagliola ◽  
Thi Hien Nguyen ◽  
Anne Cuzol
Keyword(s):  
Control Chart ◽  
Control Charts ◽  
Food Production ◽  
Average Run Length ◽  
Moving Average ◽  
Sampling Interval ◽  
Performance Comparison ◽  
Variable Sampling Interval ◽  
Variable Sampling ◽  
Weighted Moving Average

In the literature, median type control charts have been widely investigated as easy and efficient means to monitor the process mean when observations are from a normal distribution. In this work, a Variable Sampling Interval (VSI) Exponentially Weighted Moving Average (EWMA) median control chart is proposed and studied. The Markov chains are used to calculate the average run length to signal (ARL). A performance comparison with the original EWMA median control chart is made. The numerical results show that the proposed chart is considerably more effective as it is faster in detecting process shifts. Finally, the implementation of the proposed chart is illustrated with an example in food production process.

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.

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 PETA KENDALI EWMA RESIDUAL PADA DATA BERAUTOKORELASI

2019 ◽  
Vol 8 (1) ◽  
pp. 64
Author(s):  
NI KADEK YUNI DEWIANTARI ◽  
I WAYAN SUMARJAYA ◽  
G.K. GANDHIADI
Keyword(s):  
Exchange Rate ◽  
Control Chart ◽  
Control Charts ◽  
Forecasting Model ◽  
Shewhart Control Chart ◽  
Ewma Control Chart ◽  
Shewhart Control ◽  
Us Dollar ◽  
The Stability ◽  
Residual Control

Control charts with  autocorrelation can be overcome by creating control chart with residuals from the best forecasting model. EWMA control chart is a alternative to the Shewhart control chart when detecting small shifts. The purpose of this study is to make the best forecasting model to obtain residual, and see the stability of the rupiah exchange rate against US dollar using EWMA control chart with residual. The best model of the case is ARIMA (1,1,1). The results of the EWMA residual control chart with ? = 0.1 there is a pattern that makes the process unstable.

Drinking water quality control: control charts for turbidity and pH

2016 ◽  
Vol 6 (4) ◽  
pp. 511-518 ◽  
Author(s):  
Sermin Elevli ◽  
Nevin Uzgören ◽  
Deniz Bingöl ◽  
Birol Elevli
Keyword(s):  
Time Series ◽  
Drinking Water ◽  
Water Treatment ◽  
Control Chart ◽  
Control Charts ◽  
Arima Model ◽  
Treatment Plant ◽  
Drinking Water Treatment ◽  
Water Quality Control ◽  
The Stability

Water treatment processes are required to be in statistical control and capable of meeting drinking water specifications. Control charts are used to monitor the stability of quality parameters by distinguishing the in-control and out-of-control states. The basic assumption in standard applications of control charts is that observed data from the process are independent and identically distributed. However, the independence assumption is often violated in chemical processes such as water treatment. Autocorrelation, a measure of dependency, is a correlation between members of a series arranged in time. The residuals obtained from an autoregressive integrated moving averages (ARIMA) time series model plotted on a standard control chart is used to overcome the misleading of standard control charts in the case of autocorrelation. In this study, a special cause control (SCC) chart, also called a chart of residuals from the fitted ARIMA model, has been used for turbidity and pH data from a drinking water treatment plant in Samsun, Turkey. ARIMA (3,1,0) for turbidity and ARIMA (1,1,1) for pH were determined as the best time series models to remove autocorrelation. The results showed that the SCC chart is more appropriate for autocorrelated data to evaluate the stability of the water treatment process, since it provides a higher probability of coverage than an individual control chart.

1989 göçü sonrası Bulgaristan göçmenlerinin yemek kültüründeki değişim

2017 ◽  
Vol 4 (2) ◽  
pp. 227-245
Author(s):  
Cahit Kahraman ◽  
İlhan Güneş ◽  
Nanae Kahraman
Keyword(s):  
Eating Habits ◽  
Supply And Demand ◽  
Food Culture ◽  
Rapid Progress ◽  
Canned Food ◽  
Product Range ◽  
The World ◽  
Before And After ◽  
Day By Day ◽  
Made In

1989 göçü öncesi, dünyada eşzamanlı olarak gittikçe gelişen ve zenginleşen mutfak kültürü, Bulgaristan Türklerini de etkilemiştir. Pazardaki çeşitlilik arttıkça, yemek alışkanlıkları da değişime uğramıştır. Büyük göçten sadece 30-40 sene evvel kısıtlı imkânlar ile sınırlı sayıda yemek çeşidi üretilirken, alım gücünün artmasıyla yemek kültüründe de hızlı gelişmeler olmuştur. Artan ürün çeşitliliği yemeklere de yansımış, farklı lezzetler mutfaklara girmiştir. Göçmen yemekleri denilince hamur işleri, börek ve pideler akla gelir. Ayrıca, göçmenlerin çok zengin turşu, komposto ve konserve kültürüne sahip oldukları da bilinir. Bu çalışma, 1989 öncesi Bulgaristan’ın farklı bölgelerinde yaşayan Türklerin yemek alışkanlıklarına ışık tutmakla birlikte, göç sonrasında göçmen mutfak kültüründe bir değişiklik oluşup oluşmadığını konu almaktadır. Bu amaçla, 1989 yılında Türkiye’ye göç etmiş 50 kişiye 8 sorudan oluşan anket düzenlenmiştir. Bu verilerden yola çıkarak oluşan bulgular derlenmiş ve yeni tespitler yapılmıştır. Ayrıca, Türkiye’nin farklı bölgelerine yerleşen göçmenler, kendi göçmen pazarlarını kurmuşlardır. Bulgaristan’dan getirilen ürünlerin bu pazarlarda satılması böyle bir arz talebin hala devam ettiğine işaret etmektedir.ABSTRACT IN ENGLISHThe Diversity in Cuisine Culture of the Immigrants from Bulgaria After 1989 MigrationThe Cuisine culture that has been developing and getting rich day by day contemporaneously in the world before 1989 migration has also had an impact on Bulgarian Turks. By the increase in diversity in the market, eating habits have changed. While producing a limited number of food types with limited opportunities just some 30 or 40 years before the ‘Big Migration’, there has been a rapid progress in food culture by the help of the increase in purchase power. Enhancing product range has been reflected in food, and different tastes have entered the cuisines. When we say immigrant, the first things that come to our mind are pastry, flan and pitta bread. Moreover, it is also known that immigrants have a very rich cuisine culture of pickle, stewed fruit, and canned food. This study aims both to disclose the eating habits of Turks living in different regions of Bulgaria before 1989 and to determine whether there has been a difference in immigrant cuisine culture before and after the migration. For this purpose, a questionnaire consisting of 8 questions has been administered to 50 people who migrated to Turkey in 1989. The results gathered from these data have been compiled and new determinations have been made. In addition, immigrants that settled in different regions of Turkey have set their own immigrant markets. The fact that the products brought from Bulgaria are being sold in these markets shows that this kind of supply and demand still continues.

scholarly journals On Performance of Two-Parameter Gompertz-Based X¯ Control Charts

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Johnson A. Adewara ◽  
Kayode S. Adekeye ◽  
Olubisi L. Aako
Keyword(s):  
Control Chart ◽  
Coverage Probability ◽  
Control Charts ◽  
Average Run Length ◽  
Real Life ◽  
Correction Method ◽  
Gompertz Distribution ◽  
Real Life Data ◽  
Control Limits ◽  
Two Parameter

In this paper, two methods of control chart were proposed to monitor the process based on the two-parameter Gompertz distribution. The proposed methods are the Gompertz Shewhart approach and Gompertz skewness correction method. A simulation study was conducted to compare the performance of the proposed chart with that of the skewness correction approach for various sample sizes. Furthermore, real-life data on thickness of paint on refrigerators which are nonnormal data that have attributes of a Gompertz distribution were used to illustrate the proposed control chart. The coverage probability (CP), control limit interval (CLI), and average run length (ARL) were used to measure the performance of the two methods. It was found that the Gompertz exact method where the control limits are calculated through the percentiles of the underline distribution has the highest coverage probability, while the Gompertz Shewhart approach and Gompertz skewness correction method have the least CLI and ARL. Hence, the two-parameter Gompertz-based methods would detect out-of-control faster for Gompertz-based X¯ charts.

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