The Research on Production Operations of Job Shop Based on eM-Plant in Simulation

2011 ◽  
Vol 148-149 ◽  
pp. 1303-1306 ◽  
Author(s):  
Min Zhao ◽  
Xiao Xu Zhao ◽  
Yun Feng Zhang
Keyword(s):  
Job Shop ◽  
Low Cost ◽  
Analysis Method ◽  
Logistics Park ◽  
Organization Management ◽  
Discrete Manufacturing ◽  
Depth Study ◽  
Specific Implementation ◽  
Production Organization ◽  
Plant Simulation

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].

Graphene Supported Tungsten Carbide as Catalyst for Electrochemical Reduction of CO2

2019 ◽  
Author(s):  
Sahithi Ananthaneni ◽  
Rees Rankin
Keyword(s):  
Tungsten Carbide ◽  
Electrochemical Reduction ◽  
Low Cost ◽  
Co2 Reduction ◽  
Platinum Group Metal ◽  
Reduction Reaction ◽  
Metal Carbides ◽  
Depth Study ◽  
Reduction Of Co2 ◽  
Co2 Reduction Reaction

<div>Electrochemical reduction of CO2 to useful chemical and fuels in an energy efficient way is currently an expensive and inefficient process. Recently, low-cost transition metal-carbides (TMCs) are proven to exhibit similar electronic structure similarities to Platinum-Group-Metal (PGM) catalysts and hence can be good substitutes for some important reduction reactions. In this work, we test graphenesupported WC (Tungsten Carbide) nanocluster as an electrocatalyst for the CO2 reduction reaction. Specifically, we perform DFT studies to understand various possible reaction mechanisms and determine the lowest thermodynamic energy landscape of CO2 reduction to various products such as CO, HCOOH, CH3OH, and CH4. This in-depth study of reaction energetics could lead to improvements and develop more efficient electrocatalysts for CO2 reduction.<br></div>

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
Keyword(s):  
Amino Acids ◽  
Rhode Island ◽  
New Product ◽  
Analysis Method ◽  
Crop Cultivation ◽  
Mass Fractions ◽  
Industrial Software ◽  
Plant Simulation ◽  
Unique Compound ◽  
Final Flow

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.

The Simulation Optimization for Job-Shop Scheduling Based on Plant Simulation Using Genetic Algorithm

2012 ◽  
Vol 217-219 ◽  
pp. 1444-1448
Author(s):  
Xiang Ke Tian ◽  
Jian Wang
Keyword(s):  
Genetic Algorithm ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Optimization Problems ◽  
Scheduling Problem ◽  
Scheduling Problems ◽  
Job Shop Scheduling Problem ◽  
Shop Scheduling ◽  
Combinatorial Optimization Problems ◽  
Plant Simulation

The job-shop scheduling problem (JSP), which is one of the best-known machine scheduling problems, is among the hardest combinatorial optimization problems. In this paper, the key technology of building simulation model in Plant Simulation is researched and also the build-in genetic algorithm of optimizing module is used to optimize job-shop scheduling, which can assure the scientific decision. At last, an example is used to illustrate the optimization process of the Job-Shop scheduling problem with Plant Simulation genetic algorithm modules.

scholarly journals Graphene Supported Tungsten Carbide as Catalyst for Electrochemical Reduction of CO2

Catalysts ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 604
Author(s):  
Sahithi Ananthaneni ◽  
Zachery Smith ◽  
Rees B. Rankin
Keyword(s):  
Tungsten Carbide ◽  
Electrochemical Reduction ◽  
Density Functional ◽  
Low Cost ◽  
Co2 Reduction ◽  
Platinum Group Metal ◽  
Reduction Reaction ◽  
Depth Study ◽  
Reduction Of Co2 ◽  
Co2 Reduction Reaction

Electrochemical reduction of CO2 to useful chemical and fuels in an energy efficient way is currently an expensive and inefficient process. Recently, low-cost transition metal-carbides (TMCs) have been proven to exhibit similar electronic structure similarities to Platinum-Group-Metal (PGM) catalysts and hence, can be good substitutes for some important reduction reactions. In this work, we test graphene-supported WC (Tungsten Carbide) nanoclusters as an electrocatalyst for the CO2 reduction reaction. Specifically, we perform density functional theory (DFT) studies to understand various possible reaction mechanisms and determine the lowest thermodynamic energy landscape of CO2 reduction to various products, such as CO, HCOOH, CH3OH, and CH4. This in-depth study of reaction energetics could lead to improvements and development of more efficient electrocatalysts for CO2 reduction.

Equipment Integrated Information Acquisition System for Production Operation in Modern Job Shop

2010 ◽  
Vol 439-440 ◽  
pp. 1230-1234
Author(s):  
Yan He ◽  
Fei Liu ◽  
Qi Feng Wang
Keyword(s):  
Information Acquisition ◽  
High Efficiency ◽  
Job Shop ◽  
Low Cost ◽  
Service Level ◽  
Acquisition System ◽  
Production Operation ◽  
Application Systems ◽  
Integrated Information

Information acquisition plays an important role on the production operation of modern job shop to achieve the goals of high efficiency, good quality, low cost, little resource consumption and low environmental impacts. This paper proposes the equipment integrated information acquisition system, the objective of which is to sense or collect the on-site information related with production operation in order to support managers’ decision-making or other application systems as basic data. The system architecture is constructed with five layer components. Furthermore, the two supporting technologies of the system are presented including the adapter definition in the adapter level and the establishment of template repository in the service level. Finally, the case study of the system is demonstrated by the application of acquiring production progress information in machining job shop.

Transit Travel Demand Analysis Method Based on APTS Multi-Source Data

2013 ◽  
Vol 361-363 ◽  
pp. 2122-2126
Author(s):  
Jun Chen ◽  
Xiao Hua Li ◽  
Lan Ma
Keyword(s):  
Public Transportation ◽  
Large Scale ◽  
Travel Demand ◽  
Low Cost ◽  
Transportation Systems ◽  
Demand Analysis ◽  
Sample Survey ◽  
Analysis Method ◽  
Source Data ◽  
Bus Stops

Traditional transit travel information is acquired by Trip Sample Survey which has some disadvantages including high cost and short data lifecycle. This paper researched transit travel demand analysis method using Advanced Public Transportation Systems (APTS) data. The study collected APTS data of Nanning City in China and established APTS multi-source data analysis platform applying data warehouse technology. Based on key problems research, the paper presented the analysis procedure and content. Then, this study proposed the core algorithms of the method which are determinations of boarding bus stops, alighting bus stops and transfer bus stops of smart card passengers. Finally, these algorithms programs are experimented using large scale practical APTS data. The results show that this analysis method is low cost, operability and high accuracy.

scholarly journals A Weakly Supervised and Deep Learning Method for an Additive Topic Analysis of Large Corpora

2019 ◽  
Author(s):  
Yair Fogel-Dror ◽  
Shaul R. Shenhav ◽  
Tamir Sheafer
Keyword(s):  
Content Analysis ◽  
Deep Learning ◽  
Text Classification ◽  
Large Scale ◽  
Low Cost ◽  
Initial Number ◽  
Analysis Method ◽  
Training Set ◽  
Topic Analysis ◽  
Weakly Supervised

The collaborative effort of theory-driven content analysis can benefit significantly from the use of topic analysis methods, which allow researchers to add more categories while developing or testing a theory. This additive approach enables the reuse of previous efforts of analysis or even the merging of separate research projects, thereby making these methods more accessible and increasing the discipline’s ability to create and share content analysis capabilities. This paper proposes a weakly supervised topic analysis method that uses both a low-cost unsupervised method to compile a training set and supervised deep learning as an additive and accurate text classification method. We test the validity of the method, specifically its additivity, by comparing the results of the method after adding 200 categories to an initial number of 450. We show that the suggested method provides a foundation for a low-cost solution for large-scale topic analysis.

scholarly journals INJUSTICE REPRESENTATION IN THE POETRY ANTHOLOGY NYANYIAN AKAR RUMPUT BY WIJI THUKUL (An Analysis Study of Critical Literacy)

2019 ◽  
Vol 18 (1) ◽  
pp. 15-32
Author(s):  
Fetti Astrini Rishanjani ◽  
Zainal Rafli ◽  
Zuriyati Zuriyati
Keyword(s):  
Qualitative Research ◽  
Critical Literacy ◽  
Descriptive Analysis ◽  
Literary Study ◽  
Analysis Method ◽  
Learning Materials ◽  
Land Expropriation ◽  
Analysis Study ◽  
Teachers And Students ◽  
Depth Study

ABSTRACT The aim of this research is to do an in-depth study of the representation of injustice cointaned in the anthology of poetry Nyanyian Akar Rumput written by Wiji Thukul and its implication in learning Indonesian language. This research is a qualitative research using descriptive analysis method. The research concludes that the analyzed poems represent acts of injustice, such as commutative and recreative injustice. The results of this research showed: (1) Representation of commutative injustice was found in the poem entitled “Tanah” that revealed the people’s demand of justice caused by land expropriation;(2) Representation of recreative injustice was found in the poem entitled “Batas Panggung” that revealed the opposition caused by the lack of freedom in voicing their aspirations;(3) The implication of this research can be used by teachers and students as learning materials for literary study. Keywords: representation of injustice, poetry, critical literacy

scholarly journals Rapid, Reliable and Robust approach for extraction-free RT-PCR based detection of SARS-CoV-2 in clinical setting to expedite large scale screening

2021 ◽  
Author(s):  
Abhilasha Dubey ◽  
Sanjay Upadhyay ◽  
Manjeet Mehta
Keyword(s):  
Large Scale ◽  
Target Genes ◽  
Low Cost ◽  
Diagnostic Methods ◽  
Analysis Method ◽  
Rt Pcr ◽  
Qpcr Method ◽  
Quantitative Results ◽  
Pooled Samples ◽  
Large Scale Screening

Rapid, reliable and robust method for the detection of SARS-CoV-2 is an indispensable need for diagnostics. The development of diagnostic methods will aid to address further waves of the pandemic potentially with rapid surveillance of disease and to allay the fears. To meet this challenge, we have developed a rapid RT-qPCR method for the detection of 3 target genes or confirmatory genes in less than 30 minutes. The assay showed 100% sensitivity and 100% specificity when tested on 120 samples. We compared a conventional extraction based method with extraction-free method, and then further reduced the run time of extraction free method. Additionally, we have validated our rapid RT-qPCR method for the assessment of pooled samples. We hereby propose a most reliable approach for the mass screening of samples with ease of operation at a low cost. Finally we designed a single tube analysis method which provides qualitative as well as quantitative results in minimum time.

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