In the maintenance of maritime facilities, one of the most common task is painting, that is, applying a protective hard coating to surfaces that are exposed to corrosive action. One of the main goals of painting and corrosion protection is to provide the most economical protection of structures. This paper presents the assessment of damage to the structure from the process of corrosive action, the control measurement of surfaces after the removal of corrosive deposits in order to reach the conclusion that the surface is ready for paint application. The measurements are listed in tables and are used for statistical analysis and the creation of control charts. These measures help to decide the potential process capability and also indicate by how much the tolerance limits exceed the actual distribution limits and whether further improvements are required. The control charts and the QI Macros software were the basic statistical tools used. In summary, the control charts provide the opportunity to take timely action to eliminate the cause of the defect within the process in order to minimise costs instead of remedying the consequences of the defect.
This article presents the results of comparative studies of the machining processes of holes B and C, conducted under batch production conditions at a foundry enterprise. The analyzed qualitative characteristic was the hole diameter, which is a key dimensional parameter of the tested casting product. The aim of the study was to evaluate both drilling processes using Statistical Process Control (SPC) tools to identify the superior process in terms of stability over time and quality capability. The methodology included descriptive statistics, histogram and box plot analysis, Bland-Altman agreement testing, normality verification, and Johnson-transformed control charts. Capability indices (Cp, Cpk) and target-oriented indices (Cpm, Cpmk) were calculated using the Clements percentile method to ensure reliable interpretation for non-normal data. The results confirmed that both processes were statistically stable and demonstrated very high capability, with Cp and Cpk values exceeding 2.0, thus indicating a negligible risk of producing out-of-tolerance parts. Nonetheless, important differences were observed: process B showed lower short-term variability, nearly perfect centering within the tolerance field, and stronger capability toward the lower specification limit. In contrast, Process C, although characterized by slightly higher variability, achieved closer alignment with the nominal dimension and more balanced capability across tolerance limits, as reflected in its higher Cpm and Cpmk values. These findings highlight the need to combine stability, capability, and accuracy-to-target analyses to obtain a comprehensive picture of process quality performance, especially under conditions of asymmetric specification limits and non-normal data. From a practical perspective, both processes are stable and capable, suitable for further batch production. However, Process C can be considered generally superior due to its better alignment with the nominal value and greater actual process capability, which translates into a lower risk of producing out-of-spec products.
The main purpose of this paper is to present the possibilities of using elements of SPC in the analysis of selected parameters of a product manufactured in an industrial enterprise producing metal components, as well as the analysis of the causes of parameter deviations in control charts and their possible correction. A metal element used in the automotive industry was chosen as the test product. Five parameters of the manufactured product were examined. During the production process, six-element samples were taken every hour. In total, 30 samples were included in the analysis. A statistical analysis of the selected parameters was performed. On this basis, the causes of parameter deviations in the control charts were identified and possible corrective actions were proposed. The main causes of problems were found to be three main groups of factors: machines, tools, and people.
Statistical Process Control (SPC) is a quality control methodology that has been adopted extensively across numerous industries. It serves as an effective instrument for identifying and resolving process inconsistencies and variability, ensuring optimal efficiency and consistent product quality. By leveraging statistical methods, SPC aims to minimise waste and ensure that a product meets quality standards. Despite the extensive implementation of SPC in various manufacturing sectors, including the automotive, electronics, healthcare and hi-fi technologies sectors, its application in the mining industry remains underdeveloped and lacks comprehensive documentation in academic literature. This article aims to address this gap by exploring existing applications and explaining the potential reasons why the mining industry is an outlier. Furthermore, it endeavours to propose innovative applications of SPC. It has been determined that the mining industry is sufficiently specific in nature to potentially render the known applications of SPC ineffective, due to the limited human control that can be exercised over the quality and characteristics of the mined ore or material. Consequently, alternative and unconventional methodologies employing SPC are proposed as a potential solution, including techniques for predicting the depletion of a source (or a vein). The article also offers guidelines for practitioners that can allow them to implement SPC methods more rigorously, while avoiding the issues identified herein. A discussion on where to look for potential areas of SPC implementation in mining is also offered.
Podstawowym celem artykułu było określenie znaczenia wykorzystania statystycznych narzędzi oceny jakości używanych w SPC do optymalizacji jakości z punktu widzenia uzyskiwania stabilnych wyników mieszczących się w wymaganiach stawianych przez klientów bądź dokumentację techniczną. Przeprowadzono analizę parametrów jakościowych surówki wielkopiecowej produkowanej przez wybrany zakład produkcyjny, w której wykorzystano wybrane narzędzia SPC. W analizie wykorzystano dane pochodzące z wyjścia procesu produkcyjnego i dotyczące jakości wyrobu gotowego, czyli surówki hutniczej. Analizie poddano następujące parametry: zawartość Si, Mn, P, S, C oraz temperaturę wyrobu gotowego. W analizie uwzględniono wyniki z prób pochodzących z 36 kolejnych miesięcy kalendarzowych. Dla oceny wybranych parametrów jakościowych wykorzystano wykresy kontrolne wartości średnich oraz wskaźniki zdolności jakościowej.
EN
The main goal of the paper was to determine the importance of using statistical quality assessment tools used in SPC to optimize quality from the point of view of obtaining stable results that meet the requirements set by customers or technical documentation. The analysis of quality parameters of blast furnace pig iron produced by a selected production plant was carried out, in which selected SPC tools were used. The analysis used data from the output of the production process and concerning the quality of the finished product, i.e. metallurgical pig iron. The following parameters: content of Si, Mn, P, S, C and the temperature of the finished product were analysed. The analysis included results from tests from 36 consecutive calendar months. Control charts of average values and quality capability indices were used to evaluate selected quality parameters.
In today’s dynamic technological environment, innovation plays a crucial role – especially for manufacturing enterprises that constantly strive to improve the quality of their products. This article examines the quality-management issue in a company producing car rims. It was identified that real-time quality control can sometimes be unreliable due to controller fatigue, leading to erroneous data interpretation or delayed responses to deviations in the production process. The study aimed to investigate the possibility of eliminating or significantly reducing these errors by employing a tool that is based on artificial intelligence. The article covers the preparation of training data, the training of classifiers, and the evaluation of their effectiveness in analyzing control charts in real time. The adopted hypothesis assumes that machine-learning classifiers can be effective methods of support for quality controllers. The research began with collecting measurement data from the machine and dividing it into training and test sets. The obtained results were evaluated using standard quality measures for machine-learning models. The results showed that the use of artificial intelligence can bring significant benefits in improving quality supervision in the production process of car rims.
Purpose: The aim of this article is to perform a multivariate statistical analysis of package filling process results for predictive production and quality management. The article presents a case study from the food industry that demonstrates the feasibility of using an appropriate set of control charts for ongoing and predictive production and quality management. Design/methodology/approach: The objectives of the article were achieved through the use of Statistical Process Control (SPC) tools, in particular control charts. The control charts used include both traditional numerical chart such as Xbar and S and special charts such as MA, EWMA, CUSUM and GCC. Findings: SPC tools such as control charts have proven to be extremely useful in monitoring the filling process and predicting future performance. By carefully monitoring the process using traditional and special control charts, it is possible to quickly identify small, gradual or sudden changes that may occur in the production process before the process gets out of control. Research limitations/implications: The research will continue by identifying additional factors that affect the quality of the product, particularly as regards precision and accuracy of dosing, and by evaluating the process studied in terms of its ability to meet customer requirements. Other statistical techniques will also be used to identify patterns and relationships between the various parameters of the process under study. This approach will provide more comprehensive information about the quality and ability of the dosing process to meet customer requirements.. Practical implications: By implementing the right SPC toolkit and using dedicated software that significantly speeds up data analysis, companies can effectively control the quality of the production process. By monitoring the behaviour of the process over time and detecting small changes and trends, it is possible to respond to potential problems in advance. Originality/value: This article is intended for production process managers who want to learn how to use the right SPC toolkit to obtain information about the process behaviour and the moments when intervention actions should be taken.
In the article one of methods of the quality management - statistical process control (SPC) has been discussed in the article. On the example of the car headrests producing enterprise benefits from applying this method has been presented. Correctly implemented SPC and correctly analyzed data from control cards result not only in the stabilization of production processes, but can also have a beneficial effect on reducing production costs.
Encryption is a mandate in today’s information sharing based society. Various Algorithms have been proposed and used to implement encryption. The AES algorithm is one such encryption algorithm widely known for its faster encryption speeds and withstanding ability against cyberattacks. Its resilience comes from the fact that it can use 128 or 192- or 256-bit keys to encrypt 128, 192 or 256 bit plain text. The AES algorithm has been implemented in ASIC and FPGA to realize the best practices for the implementation of the algorithm for efficient usage. The power, area and timing analysis from both implementations have been compared to infer the best implementation strategy. The experimental results indicate that care has to be taken to reduce switching activity of signals which were observed to be the primary contributor of dynamic power consumption. Recommendations have been included to reduce signal switching power consumption during Logic BIST designs for the algorithm. The power analysis show that ASIC implementation of the AES algorithm would be much more beneficial in comparison to ARTIX 7 FPGA implementation.
PL
Szyfrowanie jest obowiązkiem w dzisiejszym społeczeństwie opartym na wymianie informacji. Zaproponowano i wykorzystano różne algorytmy do implementacji szyfrowania. Algorytm AES jest jednym z takich algorytmów szyfrowania, powszechnie znanym z większej szybkości szyfrowania i odporności na cyberataki. Jego odporność wynika z faktu, że może używać kluczy 128-, 192- lub 256-bitowych do szyfrowania zwykłego tekstu 128, 192 lub 256-bitowego. Algorytm AES został zaimplementowany w ASIC i FPGA, aby zrealizować najlepsze praktyki implementacji algorytmu w celu efektywnego wykorzystania. Porównano analizę mocy, obszaru i czasu z obu wdrożeń, aby wywnioskować najlepszą strategię wdrożenia. Wyniki eksperymentów wskazują, że należy zwrócić uwagę na zmniejszenie aktywności przełączania sygnałów, które były głównymi sprawcami dynamicznego poboru mocy. Uwzględniono zalecenia dotyczące zmniejszenia poboru mocy przy przełączaniu sygnału podczas projektowania logiki BIST dla algorytmu. Analiza mocy wykazała, że implementacja ASIC algorytmu AES byłaby dużo bardziej korzystna w porównaniu z implementacją ARTIX 7 FPGA.
Purpose: The article aims to present a proposal and discuss the investment cost calculation procedures based on data collected during the manufacturing process, according to standard SPC control chart evaluation and standard PDCA. It is applied as a tool to support the process of continuous improvement of the manufacturing process and improve profitability by proper allocation the cost of investment and resources. Design/methodology/approach: The study uses the results of a literature review on the issue of cost analysis and their modelling. Key elements are the main cost components, but also those that are considered less important and maybe overall decisive. Application cost to benefit relations - as a method of data evaluation for cost modelling to improve overall cost structure is proposed. Findings: The relationship between return on investment and amortisation time allows to easily visualise which of the proposed changes are the most cost-effective over time. Based on the analysis conducted the results, the change is proposed below, in order from the most cost-effective. Research limitations/implications: Further research should focus on the impact if a decision were based on the findings and proposals defined. Practical implications: Each production process is based on the use of resources. This applies to both production plants and other activities. A resource can be anything that will be used in the manufacturing process. Of key importance for the success of the project is their proper use and not only effective but most of all efficient. Originality/value: The considerations presented in the study may be the basis for determining the key factors of the cost of production and investment. The proposed simulation model allows for determining the efficient direction for investment. This, in turn, should enable us to define the main directions of searching for the optimisation of the product cost to achieve the expected cost and quality level.
The basis for the control work for the quality in manufacturing process is the supervision of the effects of this process and the verification of the correctness of the employees' activities. The continuity of the control activities carried out indicates the need to supervise all production elements of the offered products. The article presents unit guidelines of quality analyzes for the production and assembly of car brake calipers. The presented analyzes constitute the basis of a complete supervision system and are an element repeated in each subsequent production batch. The quantitative analysis of production non-conformities was supplemented with the determination of the causes and effects for these errors, and the analysis of statistical indicators of qualitative ability. The results for one production batch were presented along with the adopted procedure, which are a component of the system of supervision over the results of control processes included in the production process.
X-ray computed tomography (CT) can reveal internal, three-dimensional details of objects in a non-destructive way and provide high-resolution, quantitative data in the form of CT numbers. The sensitivity of the CT number to changes in material density means that it may be used to identify lithology changes within cores of sedimentary rocks. The present pilot study confirms the use of Representative Elementary Volume (REV) to quantify inhomogeneity of CT densities of rock constituents of the Boda Claystone Formation. Thirty-two layers, 2 m core length, of this formation were studied. Based on the dominant rock-forming constituent, two rock types could be defined, i.e., clayey siltstone (20 layers) and fine siltstone (12 layers). Eleven of these layers (clayey siltstone and fine siltstone) showed sedimentary features such as, convolute laminations, desiccation cracks, cross-laminations and cracks. The application of the Autoregressive Integrated Moving Averages, Statistical Process Control (ARIMA SPC) method to define Representative Elementary Volume (REV) of CT densities (Hounsfield unit values) affirmed the following results: i) the highest REV values corresponded to the presence of sedimentary structures or high ratios of siltstone constituents (> 60%). ii) the REV average of the clayey siltstone was (5.86 cm3) and (6.54 cm3) of the fine siltstone. iii) normalised REV percentages of the clayey siltstone and fine siltstone, on the scale of the core volume studied were 19.88% and 22.84%; respectively. iv) whenever the corresponding layer did not reveal any sedimentary structure, the normalised REV values would be below 10%. The internal void space in layers with sedimentary features might explain the marked textural heterogeneity and elevated REV values. The drying process of the core sample might also have played a significant role in increasing erroneous pore proportions by volume reducation of clay minerals, particularly within sedimentary structures, where authigenic clay and carbonate cement were presumed to be dominant.
Artykuł dotyczy wykorzystania wybranych narzędzi jakości w celu analizy i oceny jakości serka homogenizowanego produkowanego przez badaną Okręgową Spółdzielnię Mleczarską. Zastosowano takie narzędzia jakości, jak: histogram, diagram Ishikawy, diagram relacji, oraz diagram systematyki w celu analizy i oceny danych liczbowych oraz problemów jakościowych i poszukiwania rozwiązań. Dokonano oceny stabilności masy netto badanego produktu, w tym celu użyto kart kontrolne, oraz oceny zdolności jakościowej procesu przy wykorzystaniu wskaźników Cp i Cpk. Wykazano, że proces dozowania jest statystycznie ustabilizowany, natomiast tego procesu nie można uznać jako zdolnego jakościowo. Wykazano także, że na jakość produktu mają wpływ różnorodne czynniki, które są związane z wystąpieniem niezgodności oraz posiadają wzajemne powiązania między sobą. Określono, aby udoskonalić proces produkcyjny oraz poprawić jakość produktu spożywczego należy zapewnić szkolenia dla pracowników, poprawę warunków ich pracy oraz odpowiednio ich motywować. Należy zwiększyć także częstotliwość dokonywania przeglądów linii produkcyjnej, a także jak najlepiej dopasować ustawienia maszyn wykorzystywanych przy produkcji.
EN
The article concerns the use of selected quality tools to analyze and evaluate the quality of homogenized cheese produced by the examined District Dairy Cooperative. Quality tools such as a histogram, Ishikawa diagram, interrelationship diagram, and tree diagram were used to analyze and evaluate numerical data and quality problems and search for solutions. The stability of the net mass of the tested product was assessed, for the purpose control cards were used, and the qualitative capability of the process was assessed with the use of Cp and Cpk indices. It has been shown that the dosing process is statistically stabilized, but this process cannot be considered qualitatively capable. It has also been shown that the quality of the product is influenced by various factors that are related to the occurrence of non-conformance and are related to each other. It was determined that in order to improve the production process and improve the quality of the food product, it is necessary to provide training for employees, to improve their working conditions and to motivate them accordingly. The frequency of inspections of the production line should also be increased, as well as the best adjustment of the settings of machines used in production.
This article discusses the possibility of using a two-track X-S control card on a Mesas device to control the production process parameters of piston castings for combustion engines. The research was carried out at the Federal-Mogul Gorzyce company. The basis for estimating the variability of the process results from the mean value (X) is the standard deviation (S). Thanks to specially designed measuring stations that use algorithms to calculate process indicators (Cp and/or Cpk) and their visualization, the cost of manufacturing products and the number of non-compliant products (scraps) are reduced. The process stability was investigated by measuring the key dimensions of the piston casting in a specific population and a given measurement cycle. Taking into account the precision of details, their technical condition, and surface quality, the production machines and cutting tools were optimally selected. It has been found that an important element of the effective use of Statistical Process Control (SPC) are trained/experienced operators who can correctly interpret the resulting control chart forms.
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Dodatki środków powierzchniowo czynnych lub polimerów wywołują zmniejszenie oporów przepływu mediów. Przedstawiono i porównano 3 sposoby ograniczenia oporów przepływu i efekty towarzyszące temu zjawisku.
Laser jest rzadko wykorzystywany do pomiaru prędkości w linii produkcji tektury, głównie w celu synchronizacji pracy przekrawacza. W artykule opisano wyniki nowatorskich badan nad wpływem zastosowania lasera na dokładność ciecia na przekrawaczu. Dokładność i jakość ciecia ma istotny wpływ na jakość i wydajność tektury, a co za tym idzie na efekty finansowe producenta. Pomiary zostały wykonane w różnych warunkach pracy tekturnicy W szczególności zbadano dokładność ciecia przekrawacza dla stałych prędkości linii, a także w czasie zwalniania i przyspieszania pracy tekturnicy. Porównano uzyskiwane dokładności cięcia dla określenia i porównania prędkości uzyskiwanych z systemem lasera (jako sensora bezkontaktowego) z wynikami otrzymanymi dla klasycznego systemu pomiarowego opartego na enkodorze. Pomiary wykonano dla tektur o różnej długości. Badano także wpływ jakości tektury na dokładność pomiaru. Wykazano również, ze w przypadku zastosowania układu z laserem mogą pojawić się błędy cięcia. Badania prowadzono na trzech tekturnicach w różnych zakładach.
EN
The laser is rarely used to measure the speed in the corrugated board production line, mainly for the need to synchronize the cutter’s operation. The article describes the results of innovative research on the impact of laser application on the accuracy of the cutting process on the cutter. The accuracy and quality of the cutting process has a significant impact on the quality and efficiency of corrugated board production, and hence the financial effects of the producer. The authors present the results of measurements for different working conditions of the corrugator. In particular, the accuracy of the cutter was tested for constant line speeds as well as during the deceleration and acceleration of the corrugator’s operation. The obtained cutting accuracy was compared to determine and compare the speed obtained with the laser system as a non-contact sensor with the results obtained for a classic encoder-based measuring system. Measurements were made for different board lengths. The influence of the quality of the board on the accuracy of the measurement was also examined. It has been shown that cutting errors may also occur when using a laser system. The research was conducted for three selected real objects.
Celem niniejszego artykułu jest przedstawienie wymagań normy IATF 16949:2016 oraz standardu VDA 6.1 w zakresie statystycznego sterowania procesami (SPC), stosowanych wobec dostawców w branży motoryzacyjnej oraz sposobów ich spełnienia przy użyciu nowoczesnych narzędzi komputerowo zintegrowanego systemu wspomagania jakości (CAQ) bazującego na programie LEAN-QS. Wykazano skuteczność zastosowania zaprezentowanego narzędzia, pozwalającego na spełnienie wymagań branżowych przy niewielkiej ilości zasobów koniecznych do nadzoru oraz prawidłowego realizowania kluczowego procesu systemu zarządzania jakością, jakim jest SPC. Przedstawione w opracowaniu wyniki analizy przypadków stanowią wyniki przeprowadzonych badań w firmie będącej dostawcą w branży motoryzacyjnej, w której wdrożono jeden z modułów programu LEAN-QS w celu spełnienia wymagań certyfikowanego systemu zarządzania jakością zgodnego z normą IATF 16949:2016.
EN
The purpose of this article is to present the requirements of IATF 16949:2016 standard and VDA 6.1 standard in the field of statistical process control (SPC) for suppliers of the automotive industry, as well as ways to meet them using modern tools of an integrated computer aided quality systems (CAQ) based on the LEANQS program. The effectiveness of using the presented tool was demonstrated, allowing to meet industry requirements with a small amount of resources necessary for supervision and proper implementation of the key process of the quality management system such as SPC. The results of the case analysis presented in the paper are the results of the research carried out in a company being supplier in the automotive industry, in which one of the LEAN-QS modules was implemented to meet the requirements of a certified quality management system compliant with IATF 16949:2016.
The aim of the article is to present the case study of implementation of the example CAQ system, which allows to meet the requirements of IATF 16949:2016 and the VDA 6.1 standards in the field of statistical process control (SPC). The foundations of the CAQ systems concept and their specific requirements, especially for companies operating in the automotive industry, for which modern CAQ tools are necessary, in the described case based on the LEAN-QS program, are presented. The article presents the observations and results of the analysis of the operation of the quality assurance system in a company that is a supplier of car parts. One of the modules of the LEAN-QS program was implemented there, which makes it possible to meet the requirements of a certified quality management system. The effectiveness of the presented tool was demonstrated, allowing to meet industry requirements while minimizing resources necessary for supervision and proper implementation of the quality management system process, which in this case is the SPC.
Tapping is an extensively employed manufacturing process by which a multi-teeth tool, known as a tap, cuts a mating thread when driven into a hole. When taps are new or slightly worn, the process is under control and the geometry of the resulting threads on the workpiece is correct. But as the tap wear increases, the thread geometry deviates progressively from the correct one and eventually the screw threads become unacceptable. The aim of this paper is to outline the development of a statistical process control strategy for decision making based on data coming from the current signal of the tap spindle for assessing thread quality. It could operate on line, and indicates when the tap wear is so critical that, if the process were continued, it would result in unacceptable screw threads. The system would be very cost-effective since the tapping process could be run without any operator intervention.
The aim of the article was to present the results of statistical analysis of the ability of the process of repairing motor vehicles in the Polish dealer network. The article presents the results of research carried out on a sample of six organizations. In empirical proceedings, the following research methods were used: literature review, analysis of secondary research, observation, statistical analysis of process capability and network analysis methods. The second point presents the assumptions of statistical analysis of the process capability. Then, the structure of empirical proceedings was described. In the third point, the results of the basic empirical study were characterized. The next point of the article presents the results of the analysis of the process capability of the studied process using the CPM and PERT methods.
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