scholarly journals Soymilk plant simulation to predict the formula of a new Hypothetical Product

2018 ◽  
Vol 38 (1) ◽  
pp. 46-51
Author(s):  
Iacobi Boanerges Boanerges

Ideal Patterns reactors alteration by real reactor patterns, for better accuracy was done using industrial software: Aspen Plus and Hysys Version 7.1 to represent the batch real mixer and soymilk production system. Fluid package for properties prediction was chosen from the software list. A feed steam of 41,67 Kg/h (Soybean) was taken; mass fractions were given by element since the Soybean has a wide blend of substances which cannot be described as a unique compound formula. The elements were C, N, H, O, S, Na, K, Mg, Ca, Fe, P, and Cu. Final flow of 8,333 Kg/h was used to achieve the objective of this study: the elemental analysis method for the hypothetical new product prediction (based only in presence of Amino-acids and other macro and multiple substances). The macromolecules described here are the onset for new specific soymilk compounds such as the concluded on this study. Fulminic Acid Family compound and the protein analysis may correspond to new proteins which are not well-known such as the ones found in studies by the Hospital de Rhode Island in 2014. Presence of Fe and Cu in soybean was ascribed to the micronutrients that could be present in the soil of crop cultivation and in soybeans by absorption.

Author(s):  
J.G. van Hassel ◽  
F. Zachariasse

Abstract In new product designs increasing effort is needed to observe and prove failure mechanisms or process marginalities. For advanced failure analysis Soft Defect Localization (SDL) [1] and Time Resolved Emission (TRE) [2,3] have now become a standard analysis method. Both techniques require a close co-operation between designers and analysts. In this paper we will discuss a comprehensive study to find the mechanism behind a speed problem in the digital part of an audio signal processor. The additional delay was related to unwanted routing through poly-silicide in timing critical circuitry.


1981 ◽  
Vol 61 (3) ◽  
pp. 793-802 ◽  
Author(s):  
W. C. SAUER ◽  
J. J. KENNELLY ◽  
F. X. AHERNE ◽  
R. M. CICHON

The apparent ileal and fecal availabilities of amino acids in four barley samples and in four wheat samples were determined with four growing barrows (Yorkshire × Lacombe), fitted with ileocecal re-entrant cannulae. The experimental rations consisted of 96.8% barley or wheat, 2.7% minerals plus vitamins and 0.5% chromic oxide. True availabilities were calculated based on metabolic ileal and fecal amino acid levels obtained in previous studies. There were differences (P <.05) between the apparent ileal as well as between the true ileal availabilities of lysine, methionine, phenylalanine and glutamic acid in the barley samples. The apparent ileal availabilities ranged from 64.9 to 72.5% for lysine, from 72.1 to 83.9% for methionine and from 64.4 to70.4% for threonine. In the same sequence, the true availabilities of these amino acids ranged from 71.2 to 78.8%, from 75.4 to 87.3% and from 74.6 to 79.3%. There were no differences between the apparent as well as between the true availabilities of amino acids in the barley samples when these were measured by the fecal analysis method. With the exception of serine, there were no differences between the apparent as well as between the true ileal availabilities of amino acids in the wheat samples. The average apparent ileal availabilities were 76.7, 82.1 and 76.5% for lysine, methionine and threonine, respectively. In the same sequence, the average true ileal availabilities of these amino acids were 83.5, 85.0 and 85.7%.


2011 ◽  
Vol 148-149 ◽  
pp. 1303-1306 ◽  
Author(s):  
Min Zhao ◽  
Xiao Xu Zhao ◽  
Yun Feng Zhang

In this paper the important meaning of the system simulation in improving enterprise especially for discrete manufacturing is understood. Method of the design of processing workshop facility layout and specific implementation steps can be proposed by further in-depth study of the SSLP. I use eM-plant simulation optimization software for analysis to reduce he workshop production organization management and operating costs effectively. And it could use the analysis method of Bottleneck Analyzer to make statistical analysis. The paper puts forward effective feasible method in planning to layout of stone processing workshop for facilities, and making the logistics park to efficient, low cost operation [1, 2].


Mango Day is small medium industry that echoes a healthy lifestyle as one of their visions with fruit strip as their product made from dried mangoes. The purpose of this research is to get the best marketing strategy for the Mango Day business. This research is a qualitative research with data collection techniques for instance, interviews, observations, and documentation with analytic descriptive results. The SWOT analysis technique is used to process data to obtain alternative strategies. There are four alternative strategies that can be used by companies as the company’s latest marketing strategy. SO strategy: maintaining product quality and creating new product variants, ST strategy: intensifying marketing on social media and other E-commerce is inserted with knowledge of products to be affordable to all groups and to expand the spread of products offline. WO Strategy: improve the quality of packaging and WT strategy: improve production processes to industrial scale


1977 ◽  
Vol 57 (3) ◽  
pp. 585-597 ◽  
Author(s):  
W. C. SAUER ◽  
S. C. STOTHERS ◽  
G. D. PHILLIPS

The apparent ileal and fecal recoveries of amino acids in corn, wheat and barley were determined with barrows ranging in weight from 50 to 70 kg that were fitted with ileocecal re-entrant cannulas. Average ileal availabilities were 4–7% less than average fecal availabilities in the three cereal grains. Of the indispensable amino acids in the cereal grains, the recoveries of lysine and threonine were approximately equal in being the lowest at the end of the ileum, and they decreased from those in corn, to wheat and to those in barley. The recovery of lysine was the lowest in all cereal grains when determined by the fecal analysis method. The apparent fecal recoveries of amino acids in the cereal grains obtained from cannulated pigs were essentially similar to those obtained from non-cannulated pigs. Apparent ileal and fecal recoveries of amino acids in finely ground and cracked wheat were determined with eight barrows that weighed approximately 75 kg. The ileal recoveries of most amino acids were significantly higher (P <.05) in finely ground than in cracked wheat. On the other hand, differences in amino acid availabilities due to processing of wheat could not be detected by the use of the fecal analysis method.


1974 ◽  
Vol 54 (1) ◽  
pp. 97-105 ◽  
Author(s):  
W. C. SAUER ◽  
P. M. GIOVANNETTI ◽  
S. C. STOTHERS

Amino acid (AA) availabilities from barley, wheat, triticale and soybean meal for barrows weighing 10 and 30 kg were determined by the fecal analysis method. In general, the true availability of each essential AA decreased in the following order: soybean meal > triticale > wheat > barley. Lysine was the least available (P < 0.05) essential AA from the cereal grains. When pigs were fed either triticale, wheat or barley, the respective lysine availabilities were 86, 81 and 77% (10-kg barrows) and 78, 67 and 65% (30-kg barrows). Availabilities of isoleucine, methionine, threonine and valine were similar and were grouped as the next least available essential AA from the cereal grains. Their availabilities varied between 90–92, 87–90 and 85–88% for the 10-kg pigs and between 87–88, 85–86 and 82–85% for the 30-kg pigs fed triticale, wheat and barley, respectively. Methionine was the least available essential AA (86.3%) from soybean meal for the 30-kg barrows. However, the availability of methionine was not significantly different (P < 0.05) from those of lysine, threonine and valine.


Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ming-Yang Li ◽  
Xiao-Jie Zhao ◽  
Lei Zhang ◽  
Xin Ye ◽  
Bo Li

Purpose In recent years, the updating speed of products has been significantly accelerated, which not only provides diversified styles for consumers to select from but also makes consumers face selection problems sometimes. In addition, a large number of online reviews for products emerge on many e-commerce websites and influence consumers’ purchasing decisions. The purpose of this study is to propose a method for product selection considering consumer’s expectations and online reviews to support consumers’ purchasing decisions. Design/methodology/approach The product attributes are divided into two categories, i.e. demand attributes and word-of-mouth (WOM) attributes. For the demand attributes, for which the consumers can give specific quantified expectations, the value function of prospect theory is used to determine the consumer’s perceived values to the alternative products according to consumers’ expectations for these attributes and products’ specifications. For the WOM attributes, for which the consumers cannot give specific quantified expectations, the sentiment analysis method is used to identify the sentiment strengths for these attributes in the online reviews, and then the consumer’s perceived values to the alternative products are determined. On this basis, the product selection methods for single consumers and group consumers are given respectively. Findings Finally, taking the data of JD.com (https://www.jd.com/) as an example, the practicability and rationality of the method proposed in this paper is validated. Originality/value First, a new product selection problem considering consumer’s expectations and online reviews is extracted. Second, the product attributes are considered more comprehensively and are classified into two main categories. Third, the bounded rationality of the consumers in the decision-making process is described more reasonably. Fourth, the sentiment dictionaries for each WOM attribute are constructed and the algorithm step of identifying the sentiment strengths is designed, which can help to identify the sentiment strengths in the online reviews more accurately. Fifth, the situation that a group plans to purchase the same products and the members have inconsistent expectations for the product attributes is considered.


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