scholarly journals Optimization of the Production Process of Vibrocasted Refractory Products

2019 ◽  
Vol 299 ◽  
pp. 05001
Author(s):  
Martin Kyncl ◽  
Jiri Kyncl ◽  
Michal Slany
Keyword(s):  
Production Process ◽  
Production Efficiency ◽  
Theoretical Research ◽  
Optimized Design ◽  
Increase Production Efficiency ◽  
Current State ◽  
Expert Analysis ◽  
Design Options ◽  
Ideal Process ◽  
The Ideal

This paper deals with the optimization of the production process of vibrocasted refractory products. The main goal is to make efficient and automate the production of moulds for refractory blocks. A theoretical research was followed by an expert analysis of the current state of the manufacturing process at an industrial partner. The next step was to analyze complete portfolio of refractory vibrocasted products, which results in choosing a representative sample whose dimensions most correspond to majority of the moulds produced. Subsequently, a design was done, to make the production process more effective with respect to time, technology and construction aspects, focusing on increasing productivity, reducing human labour and increasing production modernization. In the end, the design options were evaluated in terms of time and cost, and the ideal process of the manufacturing production was recommended with respect to the latest technology. It includes a solution for material composition and optimized design of moulds for vibrocasted refractory materials to increase production efficiency moulds and cost reduction while maintaining mould accuracy and quality. These products are subject to high demands in terms of material quality and precision, and at the same time costly to produce due to manual manufacturing.

Process Optimization of Candy Production Based on Data Mining

2011 ◽  
Vol 282-283 ◽  
pp. 662-665 ◽  
Author(s):  
Jia Liang Zhang ◽  
Jian Guo Yang ◽  
Shou Guo Shen ◽  
Han Yan Chen
Keyword(s):  
Data Mining ◽  
Production Process ◽  
Process Parameters ◽  
Production Efficiency ◽  
Analysis Data ◽  
Mining Method ◽  
Process Data ◽  
Increase Production Efficiency ◽  
Display Module

There are complicated correlations between process parameters and quality indicators in candy manufacturing. The objective of this work is to develop an optimization system of candy production process to improve final candy quality and to increase production efficiency. The study is conducted by using an artificial neural network data mining method to obtain optimization knowledge of process parameters from large amount of saved process data. The software platform including data processing, statistic analysis, data mining and graphical display module was developed and the quality forecasting models for typical processing operations were discussed. Experiments indicated that the system can optimize and predict the quality of candy production process effectively.

scholarly journals Dynamics of microbial contaminants is driven by selection during ethanol production

2018 ◽  
Author(s):  
Luciano Lopes Queiroz ◽  
Maria Silveira Costa ◽  
Alcilene de Abreu Pereira ◽  
Marcelo de Paula Avila ◽  
Patrícia Silva Costa ◽  
...  
Keyword(s):  
Species Richness ◽  
Production Process ◽  
Ethanol Production ◽  
Production Efficiency ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Increase Production Efficiency ◽  
Community Assemblage ◽  
Sequential Samples ◽  
Rrna Gene Sequencing

AbstractBrazil is the second largest ethanol producer in the World and largest using sugarcane feedstock. Bacteria contamination is one the most important issues faced by ethanol producers that seek to increase production efficiency. Each step of production is a selection event due to the environmental and biological changes that occur. Therefore, we evaluated the influence of the selection arising from the ethanol production process on diversity and composition of Bacteria. Our objectives were to test two hypothesis, (1) that species richness will decrease during the production process and (2) that Lactic Acid Bacteria will become dominant with the advance of ethanol production due to selection. Bacterial community assemblage was accessed using 16S rRNA gene sequencing from 19 sequential samples. Temperature is of great importance in shaping microbial communities. Species richness increased between the Decanter and Must steps of the process. Low Simpson index values were recorded at the fermentation step, indicating a high dominance ofLactobacillus. Interactions betweenLactobacillusand yeast may be impairing the efficiency of industrial ethanol production.

scholarly journals A Systematic Review of Precision Livestock Farming in the Poultry Sector: Is Technology Focussed on Improving Bird Welfare?

Animals ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 614 ◽  
Author(s):  
Rowe ◽  
Dawkins ◽  
Gebhardt-Henrich
Keyword(s):  
Production Efficiency ◽  
Animal Health ◽  
Global Scale ◽  
Welfare States ◽  
Livestock Farming ◽  
Increase Production Efficiency ◽  
Precision Livestock Farming ◽  
Current State ◽  
Study Characteristics ◽  
Future Work

Precision livestock farming (PLF) systems have the potential to improve animal welfare through providing a continuous picture of welfare states in real time and enabling fast interventions that benefit the current flock. However, it remains unclear whether the goal of PLF development has been to improve welfare or increase production efficiency. The aims of this systematic literature review are to provide an overview of the current state of PLF in poultry farming and investigate whether the focus of PLF research has been to improve bird welfare. The study characteristics extracted from 264 peer-reviewed publications and conference proceedings suggest that poultry PLF has received increasing attention on a global scale, but is yet to become a widespread commercial reality. PLF development has most commonly focussed on broiler farming, followed by laying hens, and mainly involves the use of sensors (environmental and wearable) and cameras. More publications had animal health and welfare than production as either one of or the only goal, suggesting that PLF development so far has focussed on improving animal health and welfare. Future work should prioritise improving the rate of commercialisation of PLF systems, so that their potential to improve bird welfare might be realised.

scholarly journals Analisis Produktivitas Tenaga Kerja dengan Metode Marvin E. Mundel pada CV. Mulia Tata Sejahtera

2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Adnan Gunawan ◽  
Kusnadi Kusnadi ◽  
Hamdani Hamdani
Keyword(s):  
Production Process ◽  
Labor Productivity ◽  
Production Efficiency ◽  
Productivity Index ◽  
Output Level ◽  
Increase Production Efficiency ◽  
Low Level ◽  
Production Output ◽  
A Company ◽  
Production Target

CV. Mulia Tata Sejahtera is a company that produces metal and wood parts using machines such as lathe, milling, drilling and CNC. The company has a production target of 2450 pcs in the 1st period, while the realization of the output produced in the 1st period production process is 2427 pcs. This shows the low level of company productivity. Therefore, this study is aimed at identifying the causes of the low level of productivity by taking into account the resources used. In addition, to provide suggestions for improvements that can be made to increase production efficiency and company productivity. To determine the productivity of CV. Mulia Tata Sejahtera for one period throughout 2020, the measurement of productivity is carried out with Marvin E. Mundel. In this study, three measurement criteria were carried out, namely, labor productivity index, labor absenteeism and production output. The lowest labor productivity index was found in the 6th period with 94.19, while the highest was in the 5th period with 105.98. The lowest labor absentee productivity index was in the 12th period with 69.44, while the highest was in the 6th period with 166.67. The productivity index of the lowest production output level was in the 12th period with 90.97, while the highest was in the 11th period with 110.49. In measuring the company's productivity, the trend is increasing and decreasing or fluctuation.

scholarly journals Mitigation against DDoS Attacks on an IoT-Based Production Line Using Machine Learning

2021 ◽  
Vol 11 (4) ◽  
pp. 1847
Author(s):  
Ladislav Huraj ◽  
Tibor Horak ◽  
Peter Strelec ◽  
Pavol Tanuska
Keyword(s):  
Production Process ◽  
Production Line ◽  
Production Efficiency ◽  
Denial Of Service ◽  
Basic Element ◽  
Ddos Attacks ◽  
Increase Production Efficiency ◽  
Denial Of Service Attack ◽  
Service Attack ◽  
Iot Devices

Industry 4.0 collects, exchanges, and analyzes data during the production process to increase production efficiency. Internet of Things (IoT) devices are among the basic technologies used for this purpose. However, the integration of IoT technology into the industrial environment faces new security challenges that need to be addressed. This is also true for a production line. The production line is a basic element of industrial production and integrating IoT equipment allows one to streamline the production process and thus reduce costs. On the other hand, IoT integration opens the way for network cyberattacks. One possible cyberattack is the increasingly widely used distributed denial-of-service attack. This article presents a case study that demonstrates the devastating effects of a DDOS attack on a real IoT-based production line and the entire production process. The emphasis was mainly on the integration of IoT devices, which could potentially be misused to run DDoS. Next, the verification of the proposed solution is described, which proves that it is possible to use the sampled flow (sFlow) stream to detect and protect against DDoS attacks on the running production line during the production process.

The optimization design of uniform’s hanging production line

2015 ◽  
Vol 27 (3) ◽  
pp. 370-389 ◽  
Author(s):  
Huirong Cui ◽  
Yinong Yan
Keyword(s):  
Production Process ◽  
Production Line ◽  
Production Efficiency ◽  
Assembly Line ◽  
Group Technology ◽  
Lean Production ◽  
Optimization Methods ◽  
Theoretical Research ◽  
Utilization Rate ◽  
Content Type

Purpose – Garment manufacturing is a traditional industry with global competition. The most critical part is streamline, as it generally involves a great number of operations. The purpose of this paper is to, based on the model of group technology (GT), sum up the methods of assembly line optimization to optimize the streamline, so that the machines of the workstation can perform the assigned tasks with a balanced loading. Design/methodology/approach – In this paper, the methods of obtaining and optimizing data includes literature, research and optimization methods of basing on GT model. The main direction of literature has two aspects: Lean production theory and streamline assignment. Research mainly concludes three aspects: research place, research object and the research content. The method of time determination is averaging the testing values of repeated measurements. Optimization methods of basing on GT model mainly include combination of the same type of technologic processes in sequence, combination of independent branch process, the combination of mainstream and branch processes and offside combination of the same type of processes. Findings – After optimization, in the utilization rate of equipment: hanging system ratio was increased from 22.95 to 62.12 percent, which greatly improved the utilization rate of enterprise equipment. In equipment layout: hanging equipment layout was turned linear type into “U” type, which realized the synchronization of production. GT model will be well applied in the garment production streamline. Compared with other enterprises, A company has large garment hanging system, which reflects the advanced, comprehensive, representative. Therefore, the paper applied optimization methods to trousers, production efficiency has been improved greatly, the utilization rate of equipment is promoted and reworking phenomenon is reduced greatly. Research limitations/implications – Through the optimization of the production process and equipment layout, the A company’s compiling efficiency has been greatly improved, but how can the system become computerized, accurately and intelligence, which has been an important direction of research now. Practical implications – By optimizing, it is fully proved that applying GT to the streamline optimization is feasible. GT is an important branch of Lean production, summing up the optimization methods basing on the GT model to optimize the streamline not only enriches the relevant theory research, but also provides a theoretical basis for the practical production. GT model not only can be used in the shirt production process, as for other production processes, for example, trousers, skirts can also be widely applied, which realizes the theory application in the practical production. Originality/value – The originality of this paper is that through the analysis of the model of GT, the paper sums up the methods of assembly line optimization to optimize the streamline. Although the model of GT is used widely in electronics, automobile and industry, it is relatively weak in the optimization of garment production line, there are not many literatures on practical application of group technology in the clothing. Besides, the paper is applied to practical production, which not only can improve production efficiency, but also make the theoretical research have basis and combine the theory and practical production.

An Intelligent Control System of Candy Production Process

2011 ◽  
Vol 282-283 ◽  
pp. 658-661
Author(s):  
Jia Liang Zhang ◽  
Bei Zhi Li ◽  
Jian Guo Yang ◽  
Han Yan Chen
Keyword(s):  
Control System ◽  
Production Process ◽  
Intelligent Control ◽  
Virtual Instrument ◽  
Production Efficiency ◽  
Sensor Data ◽  
Process Data ◽  
Increase Production Efficiency ◽  
Intelligent Control System ◽  
Multi Sensor Data Fusion

Candy production processes involve many process variables. Operators often find it difficult to effectively monitor the process data, analyze current states, detect and diagnose process anomalies, and take appropriate actions to control the processes. The objective of this work is to develop an intelligent control system of candy production process to improve final candy quality and to increase production efficiency with good human-machine interfaces. The study is conducted by using virtual instrument, multi-sensor data fusion and fuzzy control technology to online detect and control typical parameters. Experiment results show that this system can reach requirements of processing accuracy and real-time property and is highly cost-efficient and practical.

scholarly journals Proses Produksi Industri Pandai Besi di Kecamatan Togo Binongko Kabupaten Wakatobi

2021 ◽  
Vol 6 (5) ◽  
pp. 175
Author(s):  
Leni Leni ◽  
Mardin Mardin ◽  
Suriana Suriana
Keyword(s):  
Data Analysis ◽  
Production Process ◽  
Production Efficiency ◽  
Raw Materials ◽  
Increase Production Efficiency ◽  
Analysis Techniques ◽  
Agricultural Equipment ◽  
Quantitative Data Analysis

This study aimed to determine the production process of the blacksmith industry in Togo Binongko District, Wakatobi Regency, in May 2019. The determination of the research location was determined purposively. Respondents in this study were heads of families who worked as blacksmiths in Togo Binongko District, Wakatobi Regency, with as many as 20 respondents. Data analysis uses quantitative data analysis techniques to describe the data that has been collected and present the data in tabular form so that it becomes clearer according to the conditions in the field. The results showed that the agricultural equipment produced by the smart in Togo Binongko District was made through a traditional production process while maintaining product quality. The production process starts from Tila and Tihi (sorting and cutting of iron raw materials), Kepa'a (forging), Hokomonde'a (modeling), and Soropu'a (re-burning). Blacksmith artisans can maintain the quality of the products produced by improving the production process by participating in training and using equipment that can increase production efficiency.

scholarly journals Analisis Total Productive Maintenance pada Mesin Laminating I dengan Metode Overall Equipment Effectiveness

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Zulkani Sinaga ◽  
Tri Maryanto
Keyword(s):  
Production Efficiency ◽  
Musical Instrument ◽  
Ideal Condition ◽  
Real Problem ◽  
Total Productive Maintenance ◽  
Increase Production Efficiency ◽  
The Real ◽  
Speed Factor ◽  
Low Efficiency ◽  
The Ideal

<p>This research was conducted on one of the giant manufacturers of musical instrument equipment that is inseparable from problems related to the effectiveness of the machine/equipment caused by the six big losses. The improper handling and maintenance of the machine can result in losses called the six big losses. The first stage in the effort to increase production efficiency in this company is to measure the effectiveness of laminating machine I using the overall equipment effectiveness (OEE) method which is then followed by measuring the OEE six big losses to find out the amount of efficiency lost in the six big losses. From these six factors, then what factors are found to give the greatest contribution that result in the large amount of efficiency lost in laminating machines I. The causal diagram can be analyzed the real problem which is the main cause of high losses resulting in low efficiency on laminating-machine I. Conclusions that can be taken on laminating machine I that the OEE value for the period April 2016 to March 2017 ranged from 61.08% to 83.91%. This condition indicates that the ability of laminating-machine I to achieve targets and achieve effectiveness has not reached the ideal condition (≥86%). As for those that affect the OEE value and become the top priority, the reduced speed factor is 78.79%.</p>

scholarly journals Development of Immunohistochemical Methods for Casein Detection in Meat Products

Foods ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 28
Author(s):  
Ludmila Kalčáková ◽  
Matej Pospiech ◽  
Bohuslava Tremlová ◽  
Zdeňka Javůrková ◽  
Irina Chernukha
Keyword(s):  
Milk Protein ◽  
Production Efficiency ◽  
Raw Materials ◽  
Meat Products ◽  
Milk Proteins ◽  
Increase Production Efficiency ◽  
Allergenic Potential ◽  
Significant Difference ◽  
Dairy Ingredients ◽  
Immunohistochemical Methods

To increase production efficiency of meat products, milk protein additives are often used. Despite a number of advantages, use of dairy ingredients involves a certain risk, namely the allergenic potential of milk proteins. A number of methods have been developed to detect milk-origin raw materials in foodstuffs, including immunological reference methods. This study presents newly developed immunohistochemical (IHC) methods for casein detection in meat products. Casein was successfully detected directly in meat products where sensitivity was determined at 1.21 and specificity at 0.28. The results obtained from the IHC were compared with the Enzyme-Linked Immuno Sorbent Assay (ELISA) and there was no statistically significant difference between the IHC and ELISA methods (p > 0.05). The correspondence between the methods was 72% in total. The highest correspondence was reached in frankfurters (90%), the lowest in canned pâté (44%).

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