Quality Control Mode Research Articles

Quality Control of Kinasih Bread Products Using Statistical Quality Control and Failure Mode and Effect Analysis Methods

Roti Kinasih UMKM is a business that focuses on the culinary sector by producing various types of bread. The business process carried out at this UMKM is a Make to Order system where products are made after receiving orders from customers. One problem that often arises is the inability to control product quality. Having defective products has a big impact on MSMEs because the costs incurred increase. Based on the existing problems, the Statistical Quality Control and Failure Mode And Effect Analysis methods were chosen to determine the factors causing product defects in UMKM Roti Kinasih. The aim of this research is to determine the level of defects in Kinasih bread products and carry out quality control measures using statistical methods. After processing and analyzing the data, it was found that the burnt bread defect and the sinking bread defect were said to be in an uncontrolled condition and needed recommendations for improvement. The highest RPN value for the burnt bread defect was 245 with the overtime baking failure mode, while the RPN value for the sinking bread defect was 175 with the too cold room temperature failure mode.

Quality control mode between Lonicera macranthoides and L. japonica based on multi-elemental difference through inductively coupled plasma mass spectrometry

Numerous studies show that Lonicera macranthoides and L. japonica have significant differences in organic matter. However, there is still a lack of research on inorganic elements between them. In this study, a non-targeted elemental metabolomics method was established by inductively coupled plasma mass spectrometry(ICP-MS), so as to compare the overall differences of inorganic elements between L. macranthoides and L. japonica. In addition, the differential markers were screened, and these differential markers were quantitatively analyzed by the targeted method. The non-targeted elemental metabolomics showed that the established mathematical model could reflect the difference in element content between L. macranthoides and L. japonica. Four inorganic elements such as ~(55)Mn, ~(209)Bi, ~(111)Cd, and ~(85)Rb were confirmed as the differential markers of L. macranthoides and L. japonica based on the screening principles of variable importance in the projection(VIP) value>2.0, P<0.01 and fold change(FC) value>1.2 or <0.80. The targeted quantitative results showed that the content of ~(209)Bi in L. japonica was significantly higher than that in L. macranthoides, while ~(55)Mn, ~(111)Cd, and ~(85)Rb in L. macranthoides were significantly higher than that in L. japonica. The non-targeted and targeted elemental metabolomics methods based on ICP-MS can significantly reflect the overall differences in inorganic elements between L. macranthoides and L. japonica. Exploring the differences between them from the perspective of elements can partly reflect the differences in their drug properties and lay a foundation for further study on the quality control mode of inorganic elements in L. macranthoides and L. japonica and their pharmacological effects.

Quality Control Analysis of Painting Results in Steel Construction Projects Using Statistical Quality Control Methods and Failure Mode Effect Analysis at PT. BSB

PT BSB is a company engaged in construction specialising in steel fabrication. There are various projects carried out at the company, namely bridges, steel structures, buildings, towers, and others. The research was conducted to analyse the quality of results in the painting process at PT BSB using statistical quality control (SQC) and failure mode effect analysis (FMEA) methods. Data collection is done by collecting primary and secondary data used in this study. The four types of painting defects obtained from the research results are Sagging/Runs, Orange Peel, Pin Hole and Seeds/Dirt. Based on the FMEA method, the level of defects can be determined based on the cumulative percentage value produced, where the highest defect value is 1750 Sagging/Runs defects. One of the factors causing the defect is the uneven spraying of paint, causing a layer of paint that is too thick, resulting in excessive accumulation of paint in certain parts that flow vertically and unevenly. From this research, it can be concluded that the company must use the SQC method to determine the causes of defects in the painting process and analyse improvements that must be prioritised. Keywords: Failure Mode Effect Analysis (FMEA), Painting Process Analysis, Statistical Quality Control (SQC)

Evaluation of the prevention effect of high-quality nursing quality control in disinfection supply center on nosocomial infection.

To explore the application effect of high-quality nursing quality control in disinfection supply center. The control group consisted of 1850 medical devices managed using the conventional quality control mode from January 2021 to December 2021, while the observation group consisted of 1900 medical devices managed using the high-quality nursing quality control mode from January 2022 to December 2022. The qualified rates of equipment cleaning, sterilization, and packaging were analyzed in both the observation and control groups. The occurrence of nosocomial infections in 2021 and 2022 were compared, and the changes in the Beck-Srivaatava stress scale index (BSSI) and Symptom Checklist-90 scores of the staff before and after implementing the high-quality nursing quality control mode were analyzed. The qualified rate of equipment cleaning, sterilization, and packaging in the observation group were 99.08%, 99.73%, and 99.78%, respectively, which were significantly higher than those in the control group (P < .05). The incidence of nosocomial infections in interventional and surgical cases in 2022 was 0.79%, which was significantly lower than that in 2021 (P < .05). The BSSI score of female staff was (68.76 ± 7.81) points, which was higher than that of male staff (P < .05). After the implementation of the high-quality nursing quality control mode, the BSSI score of the staff was (47.76 ± 9.12) points, which was significantly lower than that before implementation (P < .05). After the implementation of the high-quality nursing quality control mode, the staff's Symptom Checklist-90 scores for somatization, compulsion, interpersonal sensitivity, depression, hostility, and paranoia were (1.28 ± 0.29), (1.53 ± 0.24), (1.50 ± 0.21), (1.46 ± 0.32), (1.44 ± 0.26), and (1.38 ± 0.30) points, respectively, showing a decrease compared to before implementation (P < .05). The high-quality nursing quality control mode has great application value in the disinfection supply center. It can effectively improve the qualified rates of equipment cleaning, sterilization, and packaging, prevent nosocomial infections and improve the working pressure and psychological health of staff.

Dynamic analysis of air quality and air flow control mode in residential buildings

Dynamic analysis of air quality and air flow control mode in residential buildings

Analysis of Construction Quality Control Measures of Building Decoration Engineering Based on Big Data Technology

Abstract In the field of architectural decoration engineering, construction quality control is the main issue, which has a significant impact on project safety, cost and schedule. Under the background of the increasing maturity of big data technology, its application in the quality control of architectural decoration engineering has become a new trend in the industry, which is expected to improve quality management through technological innovation. This study analyzes the construction quality control measures of architectural decoration projects using big data technology to improve the efficiency and effectiveness of project quality management. The study utilizes PDCA and SDCA quality control theories, BIM technology, and extensive data analysis to fully monitor and assess the construction process of building decoration projects. The construction quality control mode using big data technology performs significantly better in improving project quality than traditional mode. The project’s second phase adopts the new model, and its construction quality score is higher than that of the first phase by more than 5 points on average, and the frequency of quality problems is reduced by 23%. A multi-layer fuzzy comprehensive evaluation model evaluates the quality control effect, and the construction quality control effect is rated as “excellent” with an affiliation value of 62.1%. The introduction of data technology significantly improves the efficiency and effectiveness of construction quality control in architectural decoration projects, and provides an effective management model for the industry.

Defect Analysis of Ceramic Products with Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA) Methods at PT. XYZ

Ceramic product company is one of the companies engaged in the ceramic industry. Ceramic product company produces various types of floor tiles with various sizes including sizes 40x40 cm, 50x50 cm, and 60x60 cm. Problems that arise at ceramic product company is that there are still defects in the 50x50 cm ceramic production line which is quite high, this certainly cannot be separated from the company's losses. Therefore, to reduce the level of defects in products, it needs to be supported by maintenance management and employee expertise. The purpose of this study is to determine product defects and propose improvements to reduce product defects. This research uses the Statistical Quality Control (SQC) method to control quality from the initial process to the finished product and Failure Mode Effect Analysis (FMEA) is used to identify and prevent problems that occur in products and processes. Based on the results of the analysis from October 2022 to March 2023, with a total production of 327,600 products, there are 56,543 defective products. Based on the results of the Pareto diagram for chipping before firing with a percentage of (34.3%), crack defects of (25.6%), chipping before vela of (21.2%), and ink drop defects of (18.9%). The calculation of RPN for ceramic production measuring 50x50 cm obtained several risks with the highest priority level, obtained the highest RPN of 288 from the type of crack defect with a proposed improvement, which emphasizes the operator to always pay attention to the running machine settings.

QUALITY CONTROL ANALYSIS WITH STATISTICAL QUALITY CONTROL (SQC) AND FAILURE METHODSMODE EFFECT ANALYSIS (FMEA) ON THE PRODUCTION OF ZA PLUS FERTILIZER

PT.XYZ is an industrial logistics company, one of whose divisions is warehousing and MBU which serves fertilizer bagging. as for the problems that occur at PT.XYZ is the bagging of fertilizers that still occur defects. The purpose of this study is to determine the percentage of defects that occur most often and the factors that cause defects. as well as provide suggestions for improving the quality of fertilizer bagging. The methods used in this research are Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA). SQC tools are check sheet, pareto diagram, control map, and fishbone diagram. Then continue the FMEA analysis for proposed corrective actions. Based on the results of research on Statistical Quality Control (SQC), it is known that the most dominant bagging defects are tearing defects (58%), then stitching defects (27%), defects in weighing less (15%). Based on the results of research on Failure Mode Effect Analysis (FMEA), it is known that the cause of the highest problem with RPN100 is the type of tearing defect with the cause of less carefulness during the process of putting fertilizer on the pallet. The recommendation for improvement proposals to overcome this problem is to provide work procedure training to employees so that employees understand the work procedures at PT.XYZ.

Quality Control of Edamame Products Using Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA) Methods in PT. XYZ

PT. XYZ is a company engaged in the frozen food processing industry. One such product is Edamame. In the Edamame production process, defects such as pest defects, color defects, pod defects and mechanical defects that affect quality are still found. The purpose of this study was to determine the proportion of defects that most often occur and the factors that cause defects and to provide suggestions for improving the quality of edamame. The methods used are Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA). The SQC tools include check sheets, statistics, histograms, pareto charts, scatter diagrams, control charts, and fishbone diagrams. Then continue the FMEA analysis for suggestions for corrective action. Based on the results of research on Statistical Quality Control (SQC) it is known that the most dominant defects in edamame are pests (39.9%), then color (25.5%), pods (25.2%), and mechanics (9.4%) ). Based on the results of research on Failure Mode Effect Analysis (FMEA) it is known that the highest cause of problems with RPN 360 is lack of sanitation. Suggestions for improvement that can be proposed namely. Scheduling cleaning of the work environment area and sterilizing production machines and equipment.

Pengendalian Kualitas Produk KemasanDengan Metode Statistical Quality Control Dan Failure Mode And Effect Analysis (PT. Temprina Media Grafika)

PT. Temprina Media Grafika is a manufacturing company with printing and packaging services. The products are produced from PT. Temprina Media Grafika are packaging paper for various industrial products. However, the production of PT. Temprina Media Grafika still has a few problems that impact the product flaw. The purpose of this study is to identify the quality of Emart Choco Wafer Roll packaging and offer improvements to improving the Emart Choco Wafer Roll packaged products in PT. Temprina Media Grafika. The study was used are Statistical Quality Control (SQC) and Failure Mode and Effect Analysis (FMEA). Based on the results of research on Statistical Quality Control (SQC), the most dominant defects were color not appropriate (27,2%), after that shiny color not right (23,4%), uneven colors (21,9%), Spots appear on the pack (15,3%), and packaging design cut (12,3%). Based on the results of research on Failure Mode and Effect Analysis (FMEA), it is known that the problem causing disability with the highest RPN value of 168 is the machine factor with the cause of dirty UV polymer containers. Recommendations for improvements that can be made are Eliminating uv polymer containers after uv laminate processes.

Construction and Practice of Teaching Staff and Teaching Quality Monitoring System in University Affiliated Hospitals Under the Background of Education Informatization

Objective: To build a set of teaching staff construction and teaching quality monitoring system suitable for clinical practice teaching in affiliated hospitals of medical colleges, achieve continuous improvement of clinical education and teaching level, and ensure the quality of medical education talent cultivation. Methods: A modern clinical practice teaching quality monitoring system is constructed based on organizational structure construction, teaching staff system construction, quality control system construction, and information platform construction, combined with external audit and evaluation. Results: The hospital has established a Faculty Development and Teaching Evaluation Office specifically responsible for the cultivation of clinical teachers and the evaluation and supervision of teaching quality. A relatively complete teacher construction and teaching quality monitoring system has also been established for clinical practice teaching, thus achieving integration with the school’s quality control system in terms of management mechanism. At the same time, a set of teaching quality control mode based on the “Internet +” platform has been created by means of informatization. At present, this mode has won three national computer software copyrights and two second prizes for school-level teaching achievements. Conclusion: Through five years of practice, an “Internet +” teaching quality evaluation and monitoring system with the characteristics of teaching hospitals affiliated to local medical colleges has been established. In order to further standardize the training system of clinical teachers in affiliated hospitals, achieve self-monitoring and self-improvement in terms of teaching quality, and ensure the continuous improvement of clinical teaching quality, we will continue to promote the development of clinical teachers with quality and excellence, enrich the main team of quality monitoring, guide the transformation of the education mode from being “centered on teachers” to being “centered on students,” and realize the integration of internal and external quality monitoring systems.

Event‐triggered data‐ and knowledge‐driven adaptive quality iterative learning control with uncertainty for a pharmaceutical cyber‐physical system

AbstractIn the context of Pharma 4.0, a cyber‐physical systems (CPSs)‐based pharmaceutical quality control (PQC) mode holds a critical position in ensuring the quality of drug products. This paper is concerned with a PQC problem with uncertainty embodied in ever‐changing critical material attributes, which present new challenges related to costs and efficiency during pharmaceutical development. So, an event‐triggered data‐ and knowledge‐driven adaptive PQC framework is proposed. First, a data‐ and knowledge‐driven adaptive iterative learning control‐based PQC scheme is developed with the assistance of process knowledge that also contains much additional information reflecting the laws and trends governing process operations. Second, an event‐triggering condition suitable for the PQC tasks is designed and embedded in the controller design to reduce some unnecessary computing and communication loads. Furthermore, the integration of process data and knowledge is used for the adaptive adjustment of control parameters and the determination of initial control directions. Finally, several data experiments illustrate the effectiveness of the proposed methods.

Quality Control Analysis on Steel Construction Projects Using the Method Statistical Quality Control and Failure Mode and Effects Analysis

XYZ is a steel fabrication company. It have some business such as; Storage, Crosstube, Steel Structure for pre-heater, Bulk Storage bagging unit and etc. Crosstube produce with a high failure rate, it was 212/2185 defective products. This research goal is to analyse quality control at PT. XYZ from June 2021 to May 2022 using Statistical Quality Control and Failure Mode and Effects Analysis. By using pareto diagram it found that a defect occur during welding process, which is 47% more dominant on the type of product defect. It was realize the RPN value of each process are; 1430 for the welding process, 1748 for drilling process, and 1470 for cutting process. Action that should be taken by PT. XYZ is using statistic method. It is to find out the category that caused product failure. Furthermore, PT. XYZ need to make a Standard Operational Procedure to minimized failure in the production process.&#x0D; PT. XYZ adalah perusahaan manufaktur fabrikasi baja, bidang usaha jasa yang dijalankannya yaitu Limestone Storage, Crosstube, Steel Structure for Pre-Heater, Bulk Storage Bagging Unit dan lain – lain. Di antara usaha tersebut, Crosstube menjadi produk dengan tingkat kegagalan yang tinggi saat proses produksi, terdapat 212 produk cacat dari 2185 produk yang dihasilkan. Penelitian ini bertujuan untuk menganalisis pengendalian kualitas pada produk PT. XYZ pada bulan Juni 2021-Mei 2022 dengan metode Statistical Quality Control dan Failure Mode and Effects Analysis. Terungkap pada diagram pareto bahwa kecacatan saat melakukan proses las sebesar 47% lebih dominan pada jenis kerusakan produk. RPN pada setiap proses sebesar 1403 pada proses las, 1748 proses bor, 1470 proses cutting. Tindakan yang harus dilakukan oleh PT. XYZ yaitu menggunakan metode statistik untuk dapat mengetahui kategori apa yang menyebabkan terjadinya kegagalan produk. Selain itu PT. XYZ perlu membuat Standard Operasional Prosedure untuk menghindari peningkatan kegagalan produk.

Construction of Rural E-Commerce Logistics Service Quality Evaluation System and IoT Applications under the Background of New Retail

How to build a quality evaluation system for local e-commerce logistics services has been studied against the backdrop of new retailers, and how to evaluate the quality of logistics services has been standardized by updating the quality control mode for local e-commerce logistics services will be done. An evaluation index and a nearby e-commerce logistics service quality evaluation system have been established. Finally, according to the survey, the proposed quality evaluation system for local e-commerce logistics services is highly practical, enabling faster logistics transportation while minimizing usage, and the quality of local e-commerce logistics services can be effectively improved.

Toward In-situ Characterization of Additively Manufactured Parts Using Nonlinear Resonance Ultrasonic Spectroscopy

ABSTRACT In this study, we investigate the feasibility of using nonlinear resonance ultrasound spectroscopy (NRUS) for in-situ monitoring of additively manufactured (AM) parts i.e., while they are still on the build plate. In NRUS, the test specimen is excited around one or more of its resonance frequencies with increasing driving amplitude. The linear shift in resonance frequency with the increasing driving amplitude is a measure of the constituent material’s hysteretic nonlinearity (α), which is itself related to some degree of micro-damage in the test specimens. We conduct NRUS on test specimens glued to a thick plate. The specimens are excited using a piezoelectric transducer (PZT) adhered to the bottom of the plate. We use this setup to measure the hysteretic nonlinearity parameters ( and ) of several cylindrical AM specimens fabricated by laser powder bed fusion technique as well as a few non-AM metallic specimens. The measured nonlinearity parameters for the specimens on the build plate (process monitoring mode) are compared to those measured without the build plate (quality control mode). We observe a systematic decrease in the measured nonlinearity when the specimens are tested on the build plate. An analytical study demonstrates that we measure the weighted average nonlinearity of the specimen and build plate, which itself has a lower nonlinearity. Despite the observed difference, the measured nonlinearity parameters of the specimens with and without the build plate are highly correlated. With further investigations, the proposed test setup can potentially be used for characterization of AM parts in situ.

PENERAPAN STATISTICAL QUALITY CONTROL DAN FAILURE MODE AND EFFECT ANALYSIS GUNA MENGURANGI KECACATAN PRODUK (STUDI KASUS: UMKM QUEEN PIE)

Milk pie cake is the most popular product in MSME Queen Pie, but the number of orders is directly proportional to the resulting defect. Statistical Quality Control (SQC) and Failure Mode and Effect Analysis (FMEA) methods are used to optimize this. In the study there are defects in milk pie cake is charred, immature, broken, bubbling and sticky. In the check sheet, the average defect per month is 8.6%. Furthermore, the flowchart in the production process consists of 3 parts, namely raw material handling, production and packaging. From the results of the Scatter Diagram shows that between production variables and defects are interconnected. Then on the histogram, the biggest defect is the rupture product with defect 844. In pareto seen dominant defect type rupture by 34.7%. Furthermore, the attribute map contains data out of control in February. The results of fishbone diagram analysis of the causes of defect factors are human, machine, method, material and environment. Based on the analysis of FMEA further improvement proposals are made that perform regular maintenance, give workers adequate rest periods, check the temperature of the oven periodically, more thorough in choosing flour with good quality and ensure the mold has been smeared with margarine before given the dough.&#x0D; Keywords : Quality Control, Defect, Failure Mode and Effect Analysis, Statistical Quality Control

Quality control mode based on engineering quality view of Chinese medicine pharmacy

Due to the characteristics of confusing varieties of Chinese medicinal materials, different sources, complex chemical composition, non-standard preparation process, and non-standard pharmaceutical equipment, the quality of Chinese medicinal preparations is difficult to be controlled and evaluated effectively under the current quality control mode and method of Chinese medicinal preparation. The present study proposed an engineering quality view of Chinese medicine pharmacy and a strategy to control the quality of Chinese medicinal preparations based on the current situation. The &quot;overall, dialectical, and dynamic&quot; multi-factor engineering quality view, covering original medicinal materials, preparation technologies, pharmaceutical equipment, and Chinese medicinal preparations, ensures the traceable process, measurable procedures, and feedback quality. The quality control mode of Chinese medicinal preparation with controllable sources, standardized preparation technologies, green pharmaceutical equipment, and intelligent manufacturing is built up.

Research on Quality Control and Management of Construction Engineering Based on BIM

With the rapid development of China's construction industry, the building structure is becoming more and more complex, and the construction requirements are getting higher and higher. The quality control mode used in the construction process of current construction projects can no longer meet the development needs of China's modern construction industry. In the actual construction process of the project, engineering changes and quality problems often occur because of the limited efficiency of construction management or communication problems among the project participants. The emergence and continuous development of BIM technology has brought profound changes to the whole construction industry and made it possible for the informatization development of the construction industry. BIM technology can not only improve the traditional management mode, but also update the management concept, so that the construction project management can be improved and developed more effectively with the help of BIM technology. Based on this, this paper expounds the concept and characteristics of BIM, and puts forward corresponding strategies for the implementation of BIM in construction process quality control, so as to promote the improvement of automation level of construction quality control in construction industry.

Evaluation of a no-reference image quality metric for projection X-ray imaging using a 3D printed patient-specific phantom.

Feasability of a no-reference image quality metric was assessed on patient-like images using a patient-specific phantom simulating a frame of a coronary angiogram. One background and one contrast-filled frame of a coronary angiogram, acquired using a clinical imaging protocol, were selected from a Philips Integris Allura FD (Philips Healthcare, Best, The Netherlands). The background frame's pixels were extruded to a thickness proportional to their grey value. One phantom was 3D printed using composite 80% bronze filament (max. thickness of 5.1mm), the other was a custom PMMA cast (max thickness of 8.5cm). A vessel mold was created from the contrast-filled frame and injected with a solution of 320mg I/ml contrast fluid (75%), water and gelatin. Still X-ray frames of the vessel mold+background phantom+16cm PMMA were acquired at manually selected different exposure settings using a Philips Azurion (Philips Healthcare, Best, The Netherlands) in User Quality Control Mode and were exported as RAW images. The signal-difference-to-noise-ratio-squared (SDNR2) and a spatial-domain-equivalent of the noise equivalent quanta (NEQSDE) were calculated. The Spearman's correlation of the latter parameters with a no-reference perceptual image quality metric (NIQE) was investigated. The bronze phantom showed better resemblance to the original patient frame selected from a coronary angiogram of an actual patient, with better contrast and less blur than the PMMA phantom. Both phantoms were imaged using a comparable imaging protocol to the one used to acquire the original frame. The bronze phantom was hence used together with the vessel mold for image quality measurements on the 165 still phantom frames. A strong correlation was noted between NEQSDE and NIQE (SROCC=-0.99, p<0.0005) and between SDNR2 and NIQE (SROCC=-0.97, p<0.0005). Using a cost-effective and easy to realize patient-specific phantom we were able to generate patient-like X-ray frames. NIQE as a no-reference image quality model has the potential to predict physical image quality from patient images.

Integration of Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA) Method of Tea Product Packaging

The packaging is a container or wrapper that is useful for preventing or minimizing damage to packaged products. Industry X is one of the companies engaged in beverage packaging, and the important thing is to adjust the packaging’s quality of the products. The first primary packaging of tea products is preform that is a semi-finished plastic bottle with PET, its small and light shape causes the preform to be widely used by companies because it can reduce transportation costs. Quality control is carried out by the company so that the products are following predetermined standards and following the consumers’ expectations. The purpose of this research is to reduce the disability that occurs so that the productivity of the company increases. To solve this problem using statistical quality control (SQC) and any analysis of failure modes and effects (FMEA). From the research conducted using SQC, the results show that the highest amount of damage occurred in February of 3.95%. While the results of the risk analysis using FMEA showed that defective preform was the main risk that needed to be controlled because it had an RPN of 294 due to supplier errors.