scholarly journals Modeling and Optimization of the Drug Extraction Production Process

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Dakuo He ◽  
Zhengsong Wang ◽  
Le Yang ◽  
Tongshan Liu ◽  
Yao Yao ◽  
...  

Optimized control of the drug extraction production process (DEPP) aims to reduce production costs and improve economic benefit while meeting quality requirements. However, optimization of DEPP is hampered by model uncertainty. Thus, in this paper, a strategy that considers model uncertainty is proposed. Mechanistic modeling of DEPP is first discussed in the context of previous work. The predictive model used for optimization is then developed by simplifying the mechanism. Optimization for a single extraction process is first implemented, but this is found to lead to serious wastage of herbs. Hence, the optimization of a multiextraction process is then conducted. To manage the uncertainty in the model, a data-driven iterative learning control method is introduced to improve the economic benefit by adjusting the operating variables. Finally, fuzzy parameter adjustment is adopted to enhance the convergence rate of the algorithm. The effectiveness of the proposed modeling and optimization strategy is validated through a series of simulations.

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Dakuo He ◽  
Zhengsong Wang ◽  
Le Yang ◽  
Zhizhong Mao

Optimized control of the color-coating production process (CCPP) aims at reducing production costs and improving economic efficiency while meeting quality requirements. However, because optimization control of the CCPP is hampered by model uncertainty, a strategy that considers model uncertainty is proposed. Previous work has introduced a mechanistic model of CCPP based on process analysis to simulate the actual production process and generate process data. The partial least squares method is then applied to develop predictive models of film thickness and economic efficiency. To manage the model uncertainty, the robust optimization approach is introduced to improve the feasibility of the optimized solution. Iterative learning control is then utilized to further refine the model uncertainty. The constrained film thickness is transformed into one of the tracked targets to overcome the drawback that traditional iterative learning control cannot address constraints. The goal setting of economic efficiency is updated continuously according to the film thickness setting until this reaches its desired value. Finally, fuzzy parameter adjustment is adopted to ensure that the economic efficiency and film thickness converge rapidly to their optimized values under the constraint conditions. The effectiveness of the proposed optimization control strategy is validated by simulation results.


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.


2018 ◽  
Vol 42 (2) ◽  
pp. e12978
Author(s):  
Nur Cebi ◽  
Osman Sagdic ◽  
Abdulrahman Mohammed Basahel ◽  
Mohammed Abdullah Balubaid ◽  
Osman Taylan ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Sheng Hu ◽  
Shuanjun Song ◽  
Wenhui Liu

Considering the problem that the process quality state is difficult to analyze and monitor under manufacturing big data, this paper proposed a data cloud model similarity-based quality fluctuation monitoring method in data-driven production process. Firstly, the randomness of state fluctuation is characterized by entropy and hyperentropy features. Then, the cloud pool drive model between quality fluctuation monitoring parameters is built. On this basis, cloud model similarity degree from the perspective of maximum fluctuation border is defined and calculated to realize the process state analysis and monitoring. Finally, the experiment is conducted to verify the adaptability and performance of the cloud model similarity-based quality control approach, and the results indicate that the proposed approach is a feasible and acceptable method to solve the process fluctuation monitoring and quality stability analysis in the production process.


2017 ◽  
Vol 1 (1) ◽  
pp. 43
Author(s):  
Aulia Kusumawati ◽  
Lailatul Fitriyeni

The main factor to achieve business success in the era of globalization is quality. Quality control is key in maintaining customer loyalty. In the company's production process is still found the resulting product does not comply with the specified specifications. This study aims to determine the value of sigma and factors causing damage to the production process of bagging section For companies with quality control is expected to achieve corporate goals. In this study, the methods used is Six Sigma with define, measure, analyze, improve. Six Sigma result is measurement of company performance baseline at measurement stage that is company at condition 5,1 sigma with DPMO equal to 162,4532. The factors causing the disability of sugar packing are lack of research and skill of the operator, instability of conveyor speeds and jet engine position, machine hygiene condition, lack of weighing machine, and ineffective treatment, and control method.


2014 ◽  
Vol 672-674 ◽  
pp. 190-194
Author(s):  
Jian Bo Wang ◽  
Wen Ying Liu ◽  
Wei Zhou Wang ◽  
Fu Chao Liu ◽  
Xi Wei Jiang

For the volatility and intermittency of intermittent new energy like wind power, traditional dispatch model and technology are severely challenged. According to the characteristics that the prediction accuracy of wind power increases as time scale increases, this paper presents a multi-time scale active power dispatch model based on the traditional dispatch model, and proposes an active power dispatch hierarchical predicting control method on the base of model predictive control and multilevel hierarchical control during industrial control course. Finally, it gets the online rolling dispatch model and strategy for the access of intermittent energy.


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.


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.


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