Optimization and Adjustment of Production Process Parameters in Order to Reduce Production Costs and Increase Quality

2021 ◽  
Vol 20 (4) ◽  
pp. 621-628
Author(s):  
Xu-Wei Zhang
Author(s):  
Nguyen Thi Kim Huyen

Applying the Material Flows Cost Accounting method in Thai Nguyen steel enterprises is one of the solutions to improve the efficiency in the production process, using input materials, and environmental performance, as well as to measure more correctly the production costs based on the change of the price calculation basic. Identifying the factors which affect the decision on applying MFCA to the accounting process of Thai Nguyen steel production enterprises by a direct survey is carried out with 119 accountants and managers working at 13 steel enterprises. The results show that applying MFCA to the accounting process in these enterprises depends on the strategies, capacities, the accounting system of those enterprises, and the system of legal documents related to environmental accounting.


Author(s):  
К.Н. Привалова ◽  
Р.Р. Каримов

Исследования по определению энергетической эффективности пастбищных систем со злаковыми и бобово-злаковыми травостоями проведены в Федеральном научном центре кормопроизводства и агроэкологии им. В. Р. Вильямса. В статье приведены результаты агроэнергетической оценки многовариантных пастбищных систем со злаковыми травостоями, созданными в 1946 году. Даны количественные показатели по сбору обменной энергии, совокупным затратам на её производство, окупаемости затрат в зависимости от системы ведения пастбищ. Изучена эффективность совокупных затрат в виде овеществлённого труда (на семена, удобрения, сельскохозяйственные машины, средства огораживания загонов и прочее) и живого труда (работы трактористов, пастухов и строителей и др.). Обоснована высокая агроэнергетическая эффективность изучаемых пастбищных систем благодаря мобилизации в продукционный процесс природных факторов, долевое участие которых в структуре производства обменной энергии составило 69–84%. Природные факторы, участвующие в продукционном процессе луговых агроэкосистем, характеризуются большим разнообразием. Это не только использование солнечной энергии и азотфиксация бобовыми травами, но и долголетие травостоев, самовозобновление фитоценозов, дерновообразовательный процесс (повышение плодородия почвы), получение дешёвого корма и улучшение здоровья животных при летнем выпасе. Роль возобновляемых природных факторов выявлена на основе балансового метода, принятого в экономике (по разнице сбора обменной энергии и антропогенных затрат). Благодаря ведущей роли природных факторов в структуре произведённой продукции агроэнергетический коэффициент окупаемости совокупных затрат антропогенной энергии (АК) за счёт сбора обменной энергии достигал 3–6 раз в среднем за 45 лет. Разработанные в результате долголетних исследований многовариантные энергосберегающие пастбищные системы обосновывают возможность рекомендовать их производству с учётом применения различного уровня энергозатрат. Ключевые слова: культурные пастбища, системы ведения, долголетние травостои, сбор обменной энергии, совокупные антропогенные затраты, окупаемость затрат. The investigation was conducted at the Federal Williams Research Center of Fodder Production and Agroecology and was aimed at testing energy efficiency of gramineous and legume-gramineous swards. This article presents the results obtained on pasture ecosystems with gramineous planted in 1946. Exchange energy yield, total production costs and economic effectiveness were analyzed. Total production costs comprised costs for seeds, fertilizers, machinery, construction materials, labor, etc. Introduction of natural factors into the production process resulted in higher energy efficiency. Their share amounted to 69–84% in the final exchange energy yield. There are a lot of natural factors that affect grass productivity such as solar energy, nitrogen-fixation, sward longevity and regeneration, soil fertility, low-cost feed production, and livestock health. The value of natural factors was determined according to the balance method (by the difference between exchange energy yield and anthropogenic costs). Since environmental factors had a leading role in the production process, the return rate raised by 3–6 times for 45 years due to exchange energy increase. Therefore, pasture ecosystems developed can be recommended for a large-scale forage production.


Auditor ◽  
2021 ◽  
pp. 40-45
Author(s):  
Nataliya Kazakova ◽  
Lyudmila Permitina

The article proposes the author’s two-level methodology of on-farm control based on the concept of sustainable development, which has practical significance and allows solving the problem of control, optimization of costs and production costs both at the pre-production stage and in the production process with an emphasis on control procedures for three types of costs: economic, environmental and social.


2020 ◽  
Vol 90 (15-16) ◽  
pp. 1860-1871
Author(s):  
Jie Xu ◽  
Zhenglei He ◽  
Sheng Li ◽  
Wenbo Ke

The enzyme washing process is extensively applied in the industrial production of denim garments. The process parameters of enzyme washing have significant effects on washing performances and costs. Since the relationships between the process parameters and washing performances cannot be expressed explicitly, it is impractical to determine the process parameters to obtain the optimal production cost while satisfying requirements of customers intuitively. This paper proposes an optimization methodology by combining Kriging surrogate and differential evolution (DE) algorithm to address the production cost optimization of enzyme washing for indigo dyed cotton denim. First, an experiment using Taguchi L16 orthogonal array is conducted where temperature and concentration of cellulase enzyme are taken into consideration with processing time as the input parameters, while the washing performances (including color strength value, stiffness, and tensile strength in warp and weft directions of the washed denim fabrics) are the output responses. Second, the relationships between the inputs and outputs are established using the Kriging model. Third, the effects of the input parameters on the washing performances are analyzed, and the production cost optimization model is illustrated. Finally, a case study is given to depict the optimization process and a verification experiment is conducted to verify the effectiveness of the optimal values. On the whole, the proposed hybrid method, Kriging-DE, shows great capability of optimizing the production costs of the enzyme washing process for indigo dyed cotton denim.


Author(s):  
ARIEF SETIAWAN ROSO ◽  
I KETUT SUAMBA ◽  
NI WAYAN PUTU ARTINI

The Added Value of Processed Red Ginger Product at UD. VisionBali Herbal Indonesia, DenpasarThis research aimed to determine the added value of red ginger as an herbal drink in one production process and to determine the level of profits earned by the company in the red ginger processing in one production process. Determination of the study area was done purposively and the analytical methods used was the method of added value calculation, i.e. the product value is deducted by the value of raw materials and other supporting materials.It can be concluded from the result of the research that the added value of the red ginger processing business obtained in one production process is Rp. 84.600,00/kg. The added value is obtained from the deduction of the value of the product/output of Rp. 175.000,00/kg with the cost of raw material (input prices) Rp. 25.000,00/kg and the contribution of the cost of other inputs of Rp. 65.400,00/kg. It was also found that the profits gained by the manufacturer from the processed red ginger into herbal drink in one production process was Rp. 200.954,06. The suggestion that can be given to the company is to put more attention in the details of its production costs so as not to result in a low ratio of added value and further to improve the marketing of the products, so that people are interested in re-use of herbal medicine that is free of chemical components.


2014 ◽  
Vol 590 ◽  
pp. 442-450
Author(s):  
Yang Li ◽  
Yu Wang

In this paper, based on the status quo of plastics extrusion production process at the present stage in China, put forward on the basis of general embedded industrial control scheduling expert system for optimizing the process parameters is established. Structures of the expert system, user interface, the establishment of a knowledge base, reasoning machine design, the learning machine design and so on are introduced. System can according to customer's production goal reasoning out the required process parameter values, and has good portability, instead of the professional engineers for plastics extrusion production process parameters manually, save the human cost, improve the intelligent level of automation and production efficiency.


2013 ◽  
Vol 753-755 ◽  
pp. 928-931 ◽  
Author(s):  
Guo Qiang Zhang ◽  
Ji Qiang Zhai ◽  
Ting Hao ◽  
Wen Juan Wang ◽  
Xu Biao Yang ◽  
...  

Numerical simulation in the 200ml beverage can forming process was carried out by means of computer aided engineering. Beverage can drawing production process parameters and a forecast for the production process of all sorts of possible defects were obtained. Based on the results of the simulation, we can improve die structure and process method. Thus the development costs of die will be reduced. The manufacturing time of die will be shortened. The purpose of reducing the cost of production can be achieved ultimately.


2012 ◽  
Vol 201-202 ◽  
pp. 808-811
Author(s):  
Guo Qiang Zhang ◽  
Mei Ting Xie ◽  
Wen Juan Wang ◽  
Ji Qiang Zhai

Numerical simulation in the printer cover product molding process with gas assisted injection molding was carried out by means of computer aided engineering. The filling process and surface quality were forecasted. The simulation results provide an important reference for the selection in the production process parameters. Compared with the production molding process and the actual product, CAE technology used in actual production and design is entirely feasible.


2011 ◽  
Vol 282-283 ◽  
pp. 662-665 ◽  
Author(s):  
Jia Liang Zhang ◽  
Jian Guo Yang ◽  
Shou Guo Shen ◽  
Han Yan Chen

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.


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