Ongoing Production Process Research Articles

Research on Ultrasonic Guided Wave Pipeline Defect Detection Method Based on Modal Analysis

Abstract Pipelines are important transmission media in the petroleum industry, and their safe and stable operation is of great significance to industrial safety. The secure and reliable operation of oil and gas pipelines holds paramount importance for industrial safety. The significance of non-destructive testing (NDT) technology in this context is steadily growing. Presently, guided wave-based pipeline defect detection technology has garnered considerable attention. This method is noteworthy for its extensive coverage, ability to inspect the entire cross-section, and its capability to conduct inspections without disrupting ongoing production processes. Research focused on the displacement distribution of various modes of guided waves, exploring different excitation methods for each mode. The investigation also delved into the interaction mechanism between guided waves and pipeline defects; Conducted research on the detection of axial, circumferential and radial dimensions of defects using different modes of guided waves, and carried out experimental verification, studying the transformation law of the reflection coefficient of the defect reflection echo when the flaw size changes provide a reference for pipeline defect detection based on guided waves.

Pengendalian Persediaan Bahan Baku Petis Udang dengan Menggunakan Metode Economic Order Quantity (Eoq) di Ud. Agung Jaya

Raw material inventory is very important for companies. UD. Agung Jaya is a company that operates in the food sector, namely Petis Udang. Problems at UD. Agung Jaya has raw material stock problems, namely a shortage or excess of raw materials. The aim of this research is to help optimize UD costs of UD. Agung Jaya. This research uses raw material purchase data for shrimp heads, sugar, and flour which is processed by forecasting calculations for 12 periods or 1 year into the future using the single exponential smoothing (SES) time series forecasting method. The aim is to determine the need for raw materials so that there are no shortages or excesses of raw materials during the ongoing production process, and the efficiency of raw material needs in this research. The results of the research show that the raw material for shrimp heads has a mape error value of 24, sugar has a mape error value of 24, and flour has a mape error value of 26.1. Furthermore, the raw material decomposition method for shrimp heads has a mape error value of 15, sugar has a mape error value of 15, and flour has a mape error value of 16.42. The second result of forecasting shows that the decomposition method obtains a smaller mape value or the lowest error value. This research also uses the Economic Order Quantity (EOQ) method in the 2022-2023 period with raw material yields of 515.28 kg of shrimp heads, 488.54 kg of sugar and 188.09 kg of flour.

Extruder Component Repair on Extrusion Machine

Practical work is a form of educational and vocational organization that is participated in by students so that students can work directly in the world of business, industry or fabrication. Practical work aims to prepare students to become productive people and be able to work directly in their respective fields. Students can also experience the production atmosphere experienced by professional engineering in a factory. This research process requires several materials and equipment as equipment in the design process as well as several methods. data collection and problem formulation in the form of morphological design. The method for repairing the screw extruder is re-poking the screw thread area which was proposed by the customer technician who said that the screw thread area was starting to wear out so it needed to be rejuvenated. Maintenance Preventive Maintenance. Re-priming or rejuvenating the threaded part because the threaded part has started to wear out. For example, in scheduling, for screw components until now there has been no regular maintenance or replacement to overcome damage. After the time of re-positioning the screw enters the turning stage to smooth the surface before the unevenness of the re-positioning or CV. Sumber Agung Widodo is a company that has complete manufacturing equipment that can produce various kinds of spare parts from various kinds of production machines. Various problems that often occur have an impact on the ongoing production process. Some of the causes include not only material factors, but human resource factors also influence production quality.

Repairing Extruder Components on Extrusion Machines

Practical work is a form of educational and vocational organization that is participated in by students so that students can work directly in the world of business, industry or fabrication. Practical work aims to prepare students to become productive people and be able to work directly in their respective fields. Students can also experience the production atmosphere experienced by professional engineering in a factory. This research process requires several materials and equipment as equipment in the design process as well as several methods. data collection and problem formulation in the form of morphological design. The method for repairing the screw extruder is re-poking the screw thread area which was proposed by the customer technician who said that the screw thread area was starting to wear out so it needed to be rejuvenated. Maintenance Preventive Maintenance. Re-priming or rejuvenating the threaded part because the threaded part has started to wear out. For example, in scheduling, for screw components until now there has been no regular maintenance or replacement to overcome damage. After the time of re-positioning the screw enters the turning stage to smooth the surface before the unevenness of the re-positioning or CV. Sumber Agung Widodo is a company that has complete manufacturing equipment that can produce various kinds of spare parts from various kinds of production machines. Various problems that often occur have an impact on the ongoing production process. Some of the causes include not only material factors, but human resource factors also influence production quality

Нейросетевое прогнозирование дефектов производства металлургической продукции

The paper is devoted to the current problem of reducing the percentage of defective products produced at serial steelmaking plants. To study the patterns of defect formation, a neural network was created that predicts the formation of defects such as “crack” in castings produced by the open-hearth method. To train the neural network, statistical data on the chemical composition of ore raw materials and the corresponding values of the percentage of defects were used. The data was taken under the conditions of an ongoing serial production process, which led to a high degree of noise in the information both on the chemical composition of the ore raw material and on the mechanical properties based on the results of its heat treatment. Outliers of statistical information were detected and removed using the original author’s neural network technique. A neural network model for controlling thermophysical and chemical-energy-technological processes of thermal processing of ore raw materials was created on the basis of a perceptron-type neural network with sigmoid activation functions. By conducting virtual computer experiments on a neural network model, some important dependences of the probability of formation of the defects under study on the content of manganese, phosphorus, silicon, chromium and sulfur were identified. Based on the identified dependencies, practical recommendations have been developed to reduce the percentage of defects by adjusting the chemical composition of ore raw materials. Despite the relatively low accuracy of the developed neural network model, the application of the practical recommendations obtained made it possible to reduce the percentage of defective products manufactured in a large-scale production process by 2.51 times.

Recent progress in carbide‐based composite materials fabricated by laser additive manufacturing processes

AbstractFabricating and introducing new materials with new features is one of the most important goals for many scientific groups. Today, additive manufacturing (AM) is known as one of the new production methods, which can create an excellent opportunity for achieving this goal. As one of the ongoing production processes, the laser AM (LAM) methods have the proper capacity for producing new advanced materials like carbide, nitride, and boride‐based materials. Hence, this work aims to review carbide‐based materials produced by LAM techniques with the composite viewpoint. These materials can act as a matrix, reinforcement, or tertiary component in advanced composites. With this viewpoint, these composite materials were introduced in eight separate sections, which are tungsten carbide, titanium carbide, silicon carbide, niobium carbide, chrome carbide, vanadium carbide, and boron carbide, as well as high entropy alloy composites.

Perancangan Ulang Tata Letak Fasilitas Menggunakan Metode Systematic Layout Planning (SLP) Dengan Alogaritma Blocplan Di UD Wijaya Samawa

Fish is the product of various types of natural resources and is widely consumed by most people. Based on data obtained from the Office of Maritime Affairs and Fisheries of West Nusa Tenggara, Sumbawa is ranked second in West Nusa Tenggara as an area with high potential in the world of fisheries and it is very likely that many people will be involved in the world of fisheries. One of the fish supply companies located in the city of Sumbawa is UD Wijaya Samawa. This company is engaged in catching, processing and selling fish. However, in the fish packaging production process, there are problems with inefficient placement of facilities and layout resulting in waste of both time and place, thus disrupting the ongoing production process. One method that can be used to streamline production process facilities is the Systematic Layout Planning (SLP) method. As for determining alternative layout proposals, namely by using the BLOCPLAN Algorithm based on the ARC that has been made. The results of this study are alternative layout proposals that can minimize the distance from the previous 54 meters to 35.53 meters so that the distance can be reduced by 18.47 meters. Keywords: Activity Relationship Chart, BLOCPLAN, Layout, Systematic Layout Planning

Diachronic analysys of economic terms in english and uzbek languages

The rapid progress of science and technology, the global integration of countries, and the ongoing production processes are heavily influenced by languages worldwide. It’s important to highlight that effectively utilizing the extensive knowledge gained in global linguistics when studying economic terms in Uzbek and English, as well as the structure and regulation of dictionaries, can yield positive outcomes

Before reflexivity comes preflexivity

Before reflexivity comes preflexivity

Problem Analysis in Sub-Assembly Department Using Empathize Design Thinking and Failure Mode Effects Analysis: A Case Study of PT X

PT X is a company that engages in the production of large vehicles, particularly buses. The company currently has a sub-assembly department responsible for providing support materials used in the production process. Within the sub-assembly department, there are several constraints that affect the ongoing production process. These hindrances can lead to various losses for the company. Therefore, a study is being conducted to identify and understand the obstacles present in the sub-assembly department. The problem identification process employs the empathize stage of design thinking, aiming to determine the importance of each problem. To achieve this, a ranking system known as Failure Mode Effects and Analysis is being utilized. The results indicate the existence of six problems within the sub-assembly department. Following the prioritization process, it was determined that the primary issue revolves around inadequate administrative procedures. Based on these findings, an evaluation is planned for the company, specifically focusing on the sub-assembly department. The objective is to promptly address these problems and prevent any significant impacts on the company. This abstract emphasizes the importance of identifying departmental issues and prioritizing immediate solutions.

A novel quantification tool for elastane in textiles using thermal treatment

Elastane, also known as spandex, is a synthetic polymer fibre based on polyurethane, which is present in low amounts in numerous textile products. It is used frequently particularly in sportswear and underwear, because of its stretchability and body-shaping properties. The currently commonly-used standardized elastane quantification method has many outstanding disadvantages, however ongoing production processes as well as upcoming recycling processes rely on it. This study presents a faster, more reliable and more eco-friendly tool to detect and quantify elastane in textiles using differential scanning calorimetry (DSC). An elastane quantification tool (EQT) was developed by studying eleven different elastane samples available on the textile market. The fundament of the EQT is a polymer specific phenomenon, which is investigated in detail by spectroscopic (ATR-FTIR) and thermal (thermogravimetric analysis, DSC) analyses. Ten different textile waste samples from the manufacturing industry and waste collection were selected to test the EQT. Obtained results are very promising, as the elastane contents could be determined quickly and accurately. The EQT has the potential to become a widely used method in the textile production chain, particularly in the upcoming recycling sector.

Monitoring the Performance of the Drive Mechanisms During CNC Milling

The article deals with a monitoring system designed for the needs of a specific production plant. Its primary purpose is to provide online information about ongoing production processes at monitored workplaces. The system will make it possible to monitor the usability of the machines and the load on individual machine elements to increase production efficiency and prevent machine breakdowns. Furthermore, it will allow to monitor the load on the tool and predict its wear in order to prevent irreversible damage and the production of scrap. To test the applicability of the system on a milling machine, a sample was designed, the elements of which were produced in two ways - HPC and trochoidal milling. With these methods of milling, different manifestations of the tool load were assumed. The experiments proved the functionality of the system. The method of transmission, recording and storage of data has proven to be fully functional. The additional results were knowledge of machine load during both milling methods.

Possible Applications of Edge Computing in the Manufacturing Industry-Systematic Literature Review.

This article presents the results of research with the main goal of identifying possible applications of edge computing (EC) in industry. This study used the methodology of systematic literature review and text mining analysis. The main findings showed that the primary goal of EC is to reduce the time required to transfer large amounts of data. With the ability to analyze data at the edge, it is possible to obtain immediate feedback and use it in the decision-making process. However, the implementation of EC requires investments not only in infrastructure, but also in the development of employee knowledge related to modern computing methods based on artificial intelligence. As the results of the analyses showed, great importance is also attached to energy consumption, both in ongoing production processes and for the purposes of data transmission and analysis. This paper also highlights problems related to quality management. Based on the analyses, we indicate further research directions for the application of edge computing and associated technologies that are required in the area of intelligent resource scheduling (for flexible production systems and autonomous systems), anomaly detection and resulting decision making, data analysis and transfer, knowledge management (for smart designing), and simulations (for autonomous systems).

Process Optimization for Manufacturing Functional Nanosurfaces by Roll-to-Roll Nanoimprint Lithography.

Roll-to-roll nanoimprint lithography (RTR-NIL) is a low-cost and continuous fabrication process for large-area functional films. However, the partial ultraviolet (UV) resin filling obstructs the ongoing production process. This study incorporates UV resin filling process into the nanopillars and nanopores by using RTR-NIL. A multiphase numerical model with a sliding mesh method is proposed in this study to show the actual phenomena of imprint mold rotation and feeding of UV resin on the polyethylene terephthalate (PET) substrate. The implementation of UV resin filling under environmental conditions was performed by utilizing the open-channel (OC) boundary conditions. The numerical model was solved by using the explicit volume of fluid (VOF) scheme to compute the filling on each node of the computational domain. The effects of different processing parameters were investigated through the proposed numerical model such as imprinting speed (IS), contact angles (CAs), viscosity, initial thickness of the PET, and supporting roll diameter. A good agreement was found between numerical simulations and experimental results. The proposed numerical model gives better insights of the filling process for the mass production of functional surfaces with nanopillars and nanopores patterns for different applications on an industrial scale.

Intensity of Khasi Production: Understanding the Challenges of Modern Agriculture System in Betel Leaf Cultivation

The intensive agriculture system is prominent in the mainstream production technique of Bangladesh. The paper illustrates the contests of the traditional production system of Khasi about mainstream social and economic expectations of resource use. The specific Khasi adaptation process and the patterned dependency on available environmental resources can be observed in the traditional Khasi production practices. Meanwhile, the logic on the need for intensive production has been rising in the changing socio-economic resource maximization process towards sustainability. The impact of the mainstream trends of agriculture practices on a small-scale economy has been analyzed here with the changes in labor mobility, mechanism of labor control, production cost, and hierarchy issues of the traditional production system. The research findings reflect that modernity initiatives have changed the social and natural support system in production, and changes occur in the system through the market-induced priority of development. The production process is trending towards intensive cultivation. Whether a generalized community, i.e., dependent on multiple natural yielding, diversified forest resources, and social value-oriented cultivation system, can continue the traditional living in a staple food dominated mainstream agro-economy. The study shows that intensive production is growing in the traditional production field of Khasi with modern technologies. As the ongoing production process is found segmented and capital intensive, the research suggests the community-based production behavior to defend the vulnerability of the economic capital-poor Khasis of Bangladesh.

Application of Optimization Method for Calibration and Maintenance of Power-Based Belt Scale

Process optimization and improvement strategies applied in a crushing plant are coupled with the measurement of such improvements, and one of the indicators for improvements is the mass flow at different parts of the circuit. The estimation of the mass flow using conveyor belt power consumption allows for a cost-effective solution. The principle behind the estimation is that the power draw from a conveyor belt is dependent on the load on the conveyor, conveyor speed, geometrical design, and overall efficiency of the conveyor. Calibration of the power-based belt scale is carried out periodically to ensure the accuracy of the measurement. In practical implementation, certain conveyors are not directly accessible for calibration to the physical measurement as these conveyors have limited access or it is too costly to interrupt the ongoing production process. For addressing this limitation, a better strategy is needed to calibrate the efficiency of the power-based belt scale and maintain the reliability of such a system. This paper presents the application of an optimization method for a data collection system to calibrate and maintain accurate mass flow estimation. This includes calibration of variables such as the efficiency of the power-based belt scale. The optimization method uses an error minimization optimization formulation together with the mass balancing of the crushing plant to determine the efficiency of accessible and non-accessible conveyors. Furthermore, a correlation matrix is developed to monitor and detect deviations in the estimation for the mass flow. The methods are applied and discussed for operational data from a full-scale crushing plant.

МОДЕЛИРОВАНИЕ ИННОВАЦИОННОГО МЕХАНИЗМА УПРАВЛЕНИЯ СОЦИАЛЬНО-ТРУДОВЫМИ ОТНОШЕНИЯМИ

The research focuses on the subjects of trading, financial, economic, and other activities at all levels from the perspective of the study of social and labor relations. The subject of the study is a set of interrelations and relationships between business entities, as well as between them and public administration bodies regarding the study of the social and labor relations management processes. The aim of the paper is to model the structure of an innovative mechanism for managing social and labor relations. The author applies methods such as analysis of scientific literature, forecasting, expertise, system analysis, and a systematic approach in the field of social and labor relations, graphic and online research methods. The result of the work is modeling at the theoretical and practical levels of the structure of an innovative mechanism for managing social and labor relations, the introduction of which into business practice will involve the mandatory use of innovative elements and contribute to improving the level of managerial activity in this area, not excluding progressive state activities and market approaches, depending on the specific conditions in economic and social life. The findings of the research may be used by business entities of all levels and executive authorities to develop and implement state policy in the field of social and labor relations management. Such a mechanism, in interrelation and unity with the ongoing social and production processes and the specified goals facing each business entity, will assume the formation of a new trend in the existing economic system, the main activity of which will be the transformation of these goals into specific tasks and results, the solution of which will be possible not only through a combination of the implementation of reproductive, regulatory, control, and stimulating functions but also through the functions of achieving the goals, adapting to the environment, regulating internal tension in the system, innovation, and integration.

Deteksi kavitasi menggunakan linear discriminant analysis pada pompa sentrifugal

Cavitation is a phenomenon that often occurs in the centrifugal pumps. The impact of cavitation is a decrease in pump performance which will affect the ongoing production process in the industries. It is important to have a method to detect the phenomenon of cavitation early. The vibration signal is a parameter that is often used in detecting cavitation or other faulty components. One of the methods is based on the pattern recognition i.e. machine learning. Linear Discriminant Analysis (LDA) is a machine learning algorithm that has the advantage of reducing the parameters used into low dimensions without reducing the accuracy of their classification. The study proposes LDA to classify normal conditions, initial cavitation, intermediate cavitation and severe cavitation. The recording of the vibration signal is taken using the an accelerometer mounted on the inlet of the centrifugal pump. The vibration signal is then extracted using 10 statistic parameters of time domain as the LDA feature selection, namely mean, RMS, standard deviation, kurtosis, skewness, crest factor, clearance factor, shape factor, variance and peak value. The results shows that the LDA classifier can detect and classify cavitation conditions with an accuracy rate of 98.8% on training and 99.6% on testing. The shape factor, kurtosis, skewness and RMS parameters are a combination of parameters that have a large contribution to the classifier to detect and classify cavitation conditions.Keywords: Linear Discriminant Analysis (LDA), cavitation, centrifugal pump, statistical parameter

IMPLEMENTASI SISTEM JUST IN TIME PADA PERSEDIAAN BAHAN BAKU UNTUK MEMENUHI KEBUTUHAN PRODUKSI DI PT TSAMAROT INDONESIA

PT Tsamarot Indonesia, which is one of the companies engaged in the food processing industry with the resulting products, namely fruit pulp, chuncy and slincing, which in carrying out production activities uses the principle of make to order. Based on the system that makes the order, it is based on a good production management system to help and coordinate the use of various existing resources effectively and efficiently, so that there are no errors in the ongoing production process so that products can be delivered on time. PT Tsamarot Indonesia is experiencing difficulties in fulfilling consumer demand, this is due to the difficulty in controlling the flow of material for the production system so that it can hamper the ongoing production process. Thus the company needs the right method to solve these problems. Just In Time is a method that can increase lean production in the sense that there is no waste the company can do. Using a timely approach can provide suggestions for overcoming the production process. Based on the results of calculations using the punctual system at PT Tsamarot Indonesia, it can solve the problems that occur by looking at the level of efficiency of the company before using the system in only 54% of the time and has increased after using the system in just 78%.

Redesign the Plant layout for Efficiency Improvement and Cost Reduction: A Case Study

In a global market the manufacturing industries have to minimized the production cost and improve the efficiency. The effective design of plant layout can significantly minimized the operational costs of manufacturing companies. An adequate plant layout design can improve the performance of the production line, their flexibility, efficiency. Proper plant layout design is one of the keys of success in factory management. In this study ongoing production process layout are studied and a new layout will be developed to improve the efficiency and reduce the production cost. The major problem faced by the workshop is high flow intensity between machines which have high interrelationship. This leads to high travelling time and high travelling cost. Two alternative layouts are developed by using Systematic Layout Planning, which is a systematic way of generating layout alternatives. The alternative layout involves transferring the machines which have high interrelationship close to each other. The alternative layouts are evaluated using weighting placement value (WPV) and placement rating (PR) in Computerized Relationship Layout Planning (CORLAP) algorithm. The best alternative is chosen based on the performance measures which have the most significant improvement, total travel distance, total travel time, total travel cost, number of cross-over, output, average resource utilization, total average WIP level, total average waiting time and total time spent in the system. The constructed layout of the workshop efficiency is 30.16% while the alternative 1 and alternative 2 layouts is 71.4% and 73% respectively. The annual production saving cost of the alternative layout is 34,982 birr.