Quality Control In Production Process Research Articles

Prediction of the process capability for compression rubber part forming in the automotive supply chain

The paper proposes predicting production process capability for the compression rubber part in automotive supply chain management. Delivery of parts to tier 1 and OEM on time is the most important part of supply chain management, together with the delivery of on-quality and on-cost control to maintain the competitiveness of the supply chain. There are many suppliers to produce many automotive parts for tier 1. Therefore, the simulation approach properly predicts and prevents the process from getting into trouble during the actual production time. Production process quality control is critical to ensure that the good quality of the parts purchased can be delivered on time. Rubber parts are used widely in automotive, motorcycles, trucks, and other types of vehicles, with small sizes but in huge quantities to support general OEM brands and specific parts. The rubber part manufacturing process is complex and uncertain with compression moulding and rubber curing conditions. Therefore, good conditions can predict the production process's capability to commission and deliver on schedule.A neuro-fuzzy system is adopted and developed to deal with the uncertain process capability under multi-criteria decision-making.The methodology development can be used in the actual rubber part manufacturing supply chain environment and can predict uncertain problems that might occur in the subcontractor factories.The prediction of the production process capability of the rubber part supply chain might be more effective on the real-time monitoring control system and can be tracking location part progress for further planning both success or rescheduling.The platform can be applied to audit and test the actual industrial supply chain, and problem and research questions are brought about from the real supply chain in the local country.The methodology development was originally created for the particular supply chain in rubber automotive parts that can replace the existing system to obtain a more efficient performance evaluation process.

Effective Detection of the Machinability of Stainless Steel from the Aspect of the Roughness of the Machined Surface

Reliable measurement of surface roughness (Ra) is extremely important for quality control of production processes. The cost of the equipment and the duration of the measurement process are very high. The aim of this work is to develop a device for non-destructive measurement of specific roughness levels on stainless steel using computer vision. The device should be structurally simple, affordable, accurate, and safe for practical use. The purpose of the device is to effectively detect the level of roughness of the treated surface obtained by the water jet cutting process. On the basis of the obtained results, it is possible to adjust the parameters during the cutting process. The principle of operation of the device is based on measuring the intensity of the visible spectrum of the light reflected from the surface of the sample to be measured and correlating these values with the values of the measured roughness. After testing several variants of the device, the so-called vertical measurement variant was developed using the following equipment: violet light LED, optical filter and light splitter, USB 2.0 web camera, Arduino microcontroller, personal computer, and LabView programming interface.

Analysis of Quality Control of Chocolate Production Process at CAU Chocolates Bali

The products produced by the company must comply with the quality standards expected by the customer, for that a strict quality control system is needed. This study aims to analyze the quality control activities of the chocolate production process at PT. CAU Chocolates Bali is already optimal. This research was conducted at PT. CAU Chocolates Bali is located at Jalan Marga-Apuan, Cau, Marga, Tabanan Regency, Bali. This research uses descriptive research method with saturated sampling technique in sampling the product to be tested. The data used in this study is data on the number of chocolate product defects in the period May to June 2022. The data analysis technique used in this study is Statistical Quality Control, namely with p control chart diagrams and cause-and-effect diagrams as well as quality cost analysis. The results of the quality cost analysis show that the production process quality control activities carried out by PT. CAU Chocolates Bali is still not optimal, because even though the level of damage that occurs is still within the control limit or is still between the upper limit (UCL) and the lower limit (LCL), the actual total cost of quality charged to the company is still greater than total cost of optimal quality.

Prospects for the Application and Development of Computer vision Technologies

The paper presents examples from different fields of human activity in which computer vision technology is used. It is analyzed what is machine vision, how it differs from computer vision. The advantages and disadvantages of the technology are touched upon, an overview of the system components and methods for processing machine vision is presented, and the areas in which it is applied are explored. The study shows how relevant and in demand computer vision is, as well as the ways of its progress in the near future. The issues of application of machine vision systems in monitoring the implementation of safety protocols, in quality management are touched upon. Here, machine vision is implemented as an automated visual control and quality control of production processes. The application of computer vision systems in transport for the classification of vehicles, their counting, traffic analysis, detection of traffic violations: speeding, running a red light, not allowing a pedestrian is considered. This improves road safety. Computer vision is used to detect distracted driving: drowsiness, daydreaming, distraction; up to the determination of the sobriety of the driver. The use of computer vision to monitor order in large cities is affected by determining the deviant behavior of citizens.

ЦИФРОВАЯ ПЛАТФОРМА «ГАРАНТИР КАЧЕСТВА»

The paper presents a “Quality Guarantor” digital platform, designed to build intelligent quality gates based on the active use of machine vision technologies. The proposed hardware and software solution implements the modern principles of a rational combination of an algorithmic approach, knowledge bases and artificial intelligence elements to improve the production organization system. The quality guarantor contains components that provide visual control of product compliance with specified parameters, identification of inconsistencies, defects and deviations, collection and processing of information about the current quality of manufactured products within a specialized situational center integrated with PDM and ERP systems of the enterprise. Designing a new visual quality control system consists in planning the control track and designing quality samples in such a way that the key bottlenecks are covered with minimal toolset of machine vision. To build and configure individual control tracks and quality samples, statistical data and the results of video filming of production operations performed by highly professional performers can be used. The implementation of the platform in practice is illustrated by two hardware and software systems for monitoring the results of machining in mechanical engineering and monitoring internal holes using an endoscope video camera. The digital platform “Quality Guarantor” allows you to expand the scope of machine vision systems based on artificial neural networks for quality control of production processes.

Extraction of dimension requirements from engineering drawings for supporting quality control in production processes

Engineering drawings accompany a workpiece throughout its production process and include information about the dimensions and tolerances as well as the associated regulatory standards. Even though the construction and manufacturing process of a workpiece can be almost entirely performed automatically, the design and use of engineering drawings is still not fully integrated in the automated production process. This work provides DigiEDraw, a conceptual approach as well as a prototype to extract dimensioning information from engineering drawings and to integrate this information into the production process to facilitate and optimize quality control. The extraction process is based on 2D clustering. The challenge is to determine the parameters to distinguish clusters representing different dimensioning information. The approach uses DBSCAN, achieving a recall value of over 88%. The applicability of DigiEDraw is demonstrated based on a real-world manufacturing process.

Sustainable quality control mechanism of heavy truck production process for Plant-wide production process

To overcome disability and default in process quality control and failure of traditional quality management in job shop manufacturing and customised orders, which are important issues in lean production, we investigate a sustainable quality control of plant-wide production process. In this paper, we construct the mechanisms consisting of pre-production quality prevention, quality control of production process and post-production feedback, using modified turtle diagram and VDA-based evaluation model. After the application of the mechanism in a large heavy truck enterprise in Chine for three years, the average benefit of the enterprise reached 36.58 million yuan, the gross loss of the single after-sales service decreased by 37.4%, and the net loss decreased by 21.1%, which indicates improvement of capacity of sustainable development. Case above in our paper shows that the mechanism we put forward is effective and practical for continuous improvement of quality management and sustainable development of enterprises. Besides, it provides a further supplement to existing lean production theory.

Research and Application of Single Production Data Synchronization Method for Cigarette Maker

Aiming at the shortcomings of sampling in the current cigarette industry product design and development, production process quality control and overall quality evaluation, a method for synchronizing the cigarette unit cigarette data in real time is designed. This method can be used in real time. The data of each cigarette is synchronized in real time based on the time stamp and the cigarette sequence. The results show that the method can cover 100% of the mass sensor data of the current cigarette maker, and the storage speed is exactly the same as the production speed of the cigarette maker, and the storage sequence precision is 100%, and the deviation rate is less than 0.5%.

Rapid Determination of Methanol In Herbaceous Distillates For Their Safety Evaluation by A New Modified Chromotropic Acid Method.

All sophisticated methods for direct determination of methanol require advanced instruments and high technical knowledge whose preparing them is very expensive in none developed and developing countries. This work reports a simple and efficient qualitative technique for semi determination of methanol content in herbal distillates by a new modified chromotropic acid method. The technique is based on the indirect detection of methanol after its oxidation and transforming to formaldehyde by chromotropic acid (formaldehyde specific color indicator). To measure methanol level in herbal distillates, a water diluted sample was mixed with 50 µL of sulfuric acid and potassium permanganate and after 5 min, followed by addition sodium bi-sulfite, chromotropic acid, and concentrated sulfuric acid in two separated steps and finally, eye comparing with four color standard tubes which gives a range of amount of methanol in the sample. The method has a good precision and accuracy and its Limit of Detection is 25 mgL-1. It is particularly suitable for semi quantitative measurement of methanol in herbal distillates not only in the production process quality control of workshops or small companies with no laboratory equipment and adequate financial properties but also the quality check of point of-sale samples from commercial markets. To the best of our knowledge, there isn’t any report about such method.

Testing and Green Assessment Technology for Ready-Mixed Concrete

Concrete is the most extensively used material in building and civil project structure. With the rapid development of economic construction, urban construction and infrastructure construction increase year by year, so there is a greater demand for concrete, which brings the rapid development of ready-mixed concrete industry. During the rapid development, structural safety and durability problems caused by concrete quality appear frequently. Meanwhile, to implement the fundamental national policies of resource conservation and environment protection, according to Green Building Action Plan (GUOBANFA [2013] No.1) approved by CPC Central Committee and the State Council, besides meeting the quality requirements, ready-mixed concrete must also meet the green products requirements of "energy conservation, emission reduction, safety, convenience and recyclability" for the vigorous development of green building material and supporting the requirements for building energy conservation, green building and new-type urbanization construction. By quality testing, this paper elaborates the green assessment technology for ready-mixed concrete in combination with raw material quality control, design of mix ratio, production process quality control, construction process quality control, residual concrete treatment, hardened concrete quality control, and control of dust, noise and wastewater. The greening of ready-mixed concrete brings the production and application of green building material, promotes the transformation and upgrading of building material industry and drives the development of green building.

Design of working procedure for handling the breakdown machine in parameter of reaction time based on Jidoka system approach in cement company

Packaging is not a complementary of the product. Packaging is an interface between producer and consumer in a supply chain. Portland cement is one of the products which is usually distributed in unit packed with bags made of kraft paper. Cement production that done with large capacity machines requires the amount of bag in quantity that much anyway. The production of bag factory in Cement company line 4 ideally could reach 9-10 million bags per month. In fact, the average production of cement bag from January to June 2012 is 6.5 million bags per month. In addition, the average defects of work in process in the range of the same month reached 56,000 tubes per month. This indicates that engine breakdown is happen frequently and there is a lack of good performance in term of production process quality control. Long reaction time of operator against the possible breakdown and the breakdown that occur is the cause of the length of time handling problems on the machine, so much going on a lot of waste in time and there are work in process defects that pass to the next process. Minimizing the reaction time to the breakdown of machine can be done with the implementation of jidoka system on the production floor. Andon which is the tool of jidoka will ensure operator and other parties (operators, technicians, foreman) gather to repair the machine effectively and also efficient in term of time. The lights that flashing and the sound of alarm that raised by andon will ensure this happen. Working procedures with the jidoka system approach is proven can minimize the reaction time to the breakdown of machine. Based on calculations, minimizing of time can reach up to 93.66%. The mathematical model for the jidoka system approach that has been valid then converted to a standard operating procedure in handling the breakdown of machine in bag factory. The standard operating procedure that proposed will be technically efficient and effective in terms of time and method to handle the breakdown of machine.

Quality Control in Production Processes

Abstract The tools for quality management are used for quality improvement throughout the whole Europe and developed countries. Simple statistics are considered one of the most basic methods. The goal was to apply the simple statistical methods to practice and to solve problems by using them. Selected methods are used for processing the list of internal discrepancies within the organization, and for identification of the root cause of the problem and its appropriate solution. Seven basic quality tools are simple graphical tools, but very effective in solving problems related to quality. They are called essential because they are suitable for people with at least basic knowledge in statistics; therefore, they can be used to solve the vast majority of problems.

Simultaneous Determination of 18 Chemical Constituents in Traditional Chinese Medicine of Antitussive by UPLC-MS-MS.

In this study, a simple, rapid and sensitive liquid chromatography-tandem mass spectrometry (LC-MS-MS) method was developed for the simultaneous determination of 18 compounds, namely, morphine, codeine, tuberostemonine, thebaine, papaverine, scopoletin, liquiritin, narcotine, gynaroside, hyperoside, hesperidin, isoliquiritin, liquiritigenin, luteolin, isoliquiritigenin, apigenin, formononetin and glycyrrhizic acid in traditional Chinese medicine of antitussive. Analytes were chromatographically separated on a Waters C18 column under gradient elution with a mobile phase of water containing 0.1‰ HOAc (A) and methanol (MeOH) containing 0.1‰ HOAc (B). Detection was accomplished by multiple-reaction-monitoring scanning with an electrospray ionization source under positive and negative ion switching modes. Samples were prepared with dilution and ultrasonic extraction. All components were detected within the linear regime (r2 ≥ 0.9924) at the concentration ranges tested. The precision ranged from 1.3 to 4.6%, the accuracy was between 85.6 and 116.7% and the results of method validation tests were all within the required limits. The validated quantification method was successfully applied to analyze 40 batches of commercial traditional Chinese medicine of antitussive. These results will provide a basis for quality control of production process and the further pharmacokinetic study of traditional Chinese medicine of antitussive in vivo.

Intelligent Recognition of Mixture Control Chart Pattern Based on Quadratic Feature Extraction and SVM with AMPSO

Zhang, M.; Cheng, W., and Guo, P., 2015. Intelligent recognition of mixture control chart pattern based on quadratic feature extraction and SVM with AMPSO.Take control charts as the principal statistical process control tools. The recognition accuracy of abnormal control chart patterns (CCPs) directly influences the quality control of production process. (Most of the existing studies focus on the basic recognition of abnormal CCPs, but the observed process data could be of mixture patterns in real world, which consists of two or three basic patterns. This paper introduces a hybrid intelligent model for recognizing the mixture control chart pattern that includes three main aspects: feature extraction, classifier and parameter optimization. In feature extraction, statistical and sharp features of observation data are used as data input and principal component analysis as the second feature extraction to get the effective data of the classifier. A multi-class support vector machine (SVM) is applied for recognizing the mixture patterns. Finally, adaptive mutation particle swam optimization is used to optimize the SVM classifier by searching the best values of the parameters of SVM kernel function. The simulation results show the proposed algorithm with little features has better recognition accuracy compared with other methods.

Indication System Weight Calculation on Quality Control of Production Process for Medical Devices

Medical devices is playing an increasingly important role in the course of people's life, it has a very important significance to strengthen the quality control of medical devices productive process. For the difficult issues of evaluation on quality control of productive process, this paper is based on quantitative analysis, using Analytic Hierarchy Process method to research. Firstly, to construct the indication system hierarchical analysis model, and to describe each indicators ; Then, on the basis of clarifying the advantages of Analytic Hierarchy Process, to set up mathematical model, including constructing judgment matrix and single-level sorting in two steps. Finally, to calculate the weight of indication system according to the solving steps. The research contents of this paper, is the basic work of evaluation for the quality control of medical device productive process, for the safe production of medical devices companies to provide technical and methodological support.

Application of DEA-DA Model and Method on Quality Control in Production Process

In this paper, we conducted intensive research on the application of DEA-DA model and method on quality control in production process, and put forward the applied train of thought and the measure. Otherwise we chose 10 kinds of equipment to verify the model. At last, we put forward the measure to distinguish the well quality product from newcome ones and determined a newcome sample’s quality well or not.

Feasibility of Genetic Algorithm for Textile Defect Classification Using Neural Network

The global market for textile industry is highly competitive nowadays. Quality control in production process in textile industry has been a key factor for retaining existence in such competitive market. Automated textile inspection systems are very useful in this respect, because manual inspection is time consuming and not accurate enough. Hence,automated textile inspection systems have been d rawing plenty of attention of the researchers of different countries in order to replace manual inspection. Defect detection and defect classification are the two major problems that are posed by the research of automated textile inspection systems. In this paper, we perform an extensive investigation on the applicability of genetic algorithm (GA) in the context of textile defect classification using neural network (NN). We observe the effect of tuning different network parameters and explain the reasons. W e empirically find a suitable NN model in the context of textile defect classification.We compare the performance of this model with that of the classification models implemented by others .

Investigation on production process quality control of traditional Chinese medicine——Banlangen granule as an example

For the quality management system of herbal medicines, intermediate and finished products it exists the " short board" effect of methodologies. Based on the concept of process control, new strategies and new methods of the production process quality control had been established with the consideration of the actual production of traditional Chinese medicine an the characteristics of Chinese medicine. Taking Banlangen granule as a practice example, which was effective and widespread application, character identification, determination of index components, chemical fingerprint and biometrics technology were sequentially used respectively to assess the quality of Banlangen herbal medicines, intermediate (water extraction and alcohol precipitation) and finished product. With the transfer rate of chemical information and biological potency as indicators, the effectiveness and transmission of the above different assessments and control methods had been researched. And ultimately, the process quality control methods of Banlangen granule, which were based on chemical composition analysis-biometric analysis, had been set up. It can not only validly solute the current status that there were many manufacturers varying quality of Banlangen granule, but also ensure and enhance its clinical efficacy. Furthermore it provided a foundation for the construction of the quality control of traditional Chinese medicine production process.

We Are What We Eat: Food Safety and Proteomics

In this review, we lead the reader through the evolution of proteomics application to the study of quality control in production processes of foods (including food of plant origin and transgenic plants in particular, but also meat, wine and beer, and milk) and food safety (screening for foodborne pathogens). These topics are attracting a great deal of attention, especially in recent years, when the international community has become increasingly aware of the central role of food quality and safety and their influence on the health of end-consumers. Early proteomics studies in the field of food research were mainly aimed at performing exploratory analyses of food (bovine, swine, chicken, or lamb meat, but also transgenic food such as genetically modified maize, for example) and beverages (wine), with the goal of improving the quality of the end-products. Recently, developments in the field of proteomics have also allowed the study of safety issues, as the technical advantages of sensitive techniques such as mass spectrometry have guaranteed a faster and improved individuation of food contaminating pathogens with unprecedented sensitivity and specificity.

A Model of a Quality Control for Integrated Manufacturing Systems

In the article authors present the concept of a quality control system in complex and integrated production systems where, due to the specificity of the product, quality control is performed after the production process is completed. The proposed approach is based on the concept of a three-tier hierarchical model of production process quality control. The lowest tier includes control of defined sets of parameters controlled in individual aggregates of the system. The middle control tier includes a mathematical model of the entire complex production system and coordinates work of the lower tier models. At this tier an expert system is used, with a learning mechanism based on the Bayes' theory, to support the production system operator. The highest control tier provides information about technological specification of the product.