scholarly journals Supporting the Manufacturing Process of Metal Products with the Methods of Artificial Intelligence

2016 ◽  
Vol 61 (4) ◽  
pp. 1995-1998 ◽  
Author(s):  
D. Wilk-Kołodziejczyk
Keyword(s):  
Artificial Intelligence ◽  
Manufacturing Process ◽  
Research Programme ◽  
Decision Making Process ◽  
Sources Of Information ◽  
Foundry Industry ◽  
Materials Engineering ◽  
Metal Products ◽  
Selection Of

Abstract The aim of this research programme was to develop a series of methods and solutions to support the decision-making process in foundry and materials engineering. The specific problems discussed included the selection of methods for data processing and knowledge representation formalisms, backed up by the creation of decision algorithms based on contemporary achievements of artificial intelligence, tailored to the needs of foundry industry and metallurgy. The manufacturing process of metal items is associated with many aspects, which affect the quality of end product. For process engineers responsible for the supervising and planning of production, an important feature is, among others, the diversified nature of numerous aspects of the knowledge acquisition and integration from distributed sources of information which, when made available in an appropriate manner, can support the improvement of manufacturing process.

scholarly journals USE OF “KNOWLEDGE HOUSE”, DWS, DMS AND DSS METHODOLOGY BY COMPLETING A COMPETITORS' ANALYSIS IN THE RAILWAY SECTOR

2016 ◽  
Vol 17 (6) ◽  
pp. 1022-1051
Author(s):  
Vaidas GAIDELYS ◽  
Stasys DAILYDKA
Keyword(s):  
Intellectual Capital ◽  
Positive Impact ◽  
Competitive Intelligence ◽  
Sources Of Information ◽  
Strategic Decisions ◽  
Foreign Companies ◽  
Information Accessibility ◽  
Use Of Knowledge ◽  
Selection Of

In completing a competitors’ analysis in the railway sector by using the “Knowledge House” method, there is frequently a problem of data and information accessibility. The quality of primary information has direct influence on the quality of analytical conclusions. One more condition for the qualitative application of this method is the intellectual capital and experience of the analyst. One should note that in this regard we face another problem, that of selection of proper personnel, on the qualification of whom depends the accuracy of the evaluation and final results, on the basis of which strategic decisions are taken. The main aim of the paper is to assess the opportunities for applications of competitive intelligence methods in the railway sector. The study is using “Knowledge House”, DWS, DMS, DSS methodologies. Having analysed the scientific works the direct scientific sources of information, which are oriented to the application of the methods of competitive intelligence to the railway sector, have not been identified. The paper is absolutely original in that until now the competitive intelligence techniques have not been applied for the railway sector companies. Considering the fact that foreign companies, which compete for freighting at the international level, are regarded as the main competitors of the railway sector, the use of the methods of the competitive intelligence becomes more important while fighting for the part of the market. The competitive intelligence methods and their application to the railway sector companies are little studied. In accordance with application of the relevant methods in other sectors, it can be assumed that these innovative approaches could have a positive impact on the competitiveness of companies in the railway sector and their income.

scholarly journals La ética en la investigación de posgrado

2017 ◽  
Vol 21 (2) ◽  
pp. 1
Author(s):  
Juan Manuel Piña-Osorio ◽  
Hilda Berenice Aguayo-Rousell
Keyword(s):  
Doctoral Programs ◽  
Logical Structure ◽  
Two Dimensions ◽  
Sources Of Information ◽  
Descriptive Research ◽  
Formal Presentation ◽  
Lack Of Commitment ◽  
Minimum Quality ◽  
Selection Of

This article presents the results of an exploratory-descriptive research with empirical referents. The objective was to document, systematize and evaluate some features of 15 postgraduate theses in education, with the intention to make visible some recurring dishonest practices of students and teachers. The postgraduate programs from which the theses were obtained are located in the metropolitan area of Mexico City. The selection of documents was carried out between July and November 2015. Two Likert scales were used to assess two dimensions separately: 1) content, in which originality, congruence, dominance and relevance of authors, findings and relevant conclusions were considered; and 2) presentation, which examined style, logical structure, spelling and punctuation, citations, references and sources of information. Each indicator was assigned a numerical value and this one was given an evaluative characteristic: 5: excellent, 3: regular and 1: deficient. Subsequently, percentages were obtained. The results indicated that only a third of the theses could be classified as excellent for the quality of the content and the impeccable presentation; a similar percentage were works that fulfilled the necessary but didn’t count with the rigor and originality of the first ones. The remaining papers had serious deficiencies, both in content and in the formal presentation of the document, without achieving the minimum quality demanded by a postgraduate thesis. The analysis of these investigations made it possible to visualize some of the dishonest practices of people graduating from various educational programs and the lack of commitment to their research. The results about the quality of the research in various doctoral programs indicate that there is little responsibility in students, personal tutor and the reviewer. The results allow the authorities of each program to observe the problem and seek practical solutions to solve it.

scholarly journals Penentuan Penerimaan Mahasiswa Baru Pascasarjana Menggunakan Simple Additive Weighting (SAW)

2019 ◽  
Vol 8 (2) ◽  
pp. 121-129
Author(s):  
Febri Hadi ◽  
Dodi Guswandi
Keyword(s):  
Decision Making ◽  
Graduate Students ◽  
Decision Making Process ◽  
Postgraduate Student ◽  
Prospective Students ◽  
Study Programs ◽  
Decision Making System ◽  
Simple Additive Weighting ◽  
Selection Of

The decision-making system for the selection of new postgraduate student admissions which is carried out manually requires 7 days to submit the decision results. The selection is very important, so that the quality of input (input) of prospective students can be maintained in accordance with established standards. Therefore we need a system that can help in the decision making process quickly, precisely, and accurately. The purpose of this study is to help postgraduate master's study programs in conducting the selection of prospective graduate students in accordance with their abilities and disciplines. The method used in data processing using the Simple Additive Weighting (SAW) method, is a method of weighting the sum of the criteria values ​​of each alternative. The results of the decision in the form of ranking the number of values, based on the passing grade value that has been set> 0.70 declared passed, or <0.70 declared not passed.

scholarly journals Optimization of railway infrastructures rehabilitation based on multicriteria analysis

2018 ◽  
Vol 211 ◽  
pp. 12003
Author(s):  
Paula Couto ◽  
Filipa Salvado ◽  
Maria João Falcão Silva
Keyword(s):  
Decision Making ◽  
Environmental Variables ◽  
Social Economic ◽  
Multicriteria Analysis ◽  
Practical Implementation ◽  
Decision Making Process ◽  
Investment Projects ◽  
The Many ◽  
Selection Of

The socio-economic objectives of transport projects are generally related to the improvement of travel conditions for goods and passengers as well as the improvement of the quality of the environment and the wellbeing of the served population. Railways infrastructure projects are always complex because of the many variables involved. In railway rehabilitation, in particular, social, economic and environmental variables take on considerable importance. These variables contribute strongly to the selection of the intervention project to be performed. Historically, multicriteria evaluation methods were developed to select the best alternative from a set of competing options. Multicriteria Analysis is applied for comparison of alternative projects, allowing taking into account different criteria simultaneously. It presents a framework in which all the stakeholders can participate actively in the process of decision making and in the explicit resolution of problems. The paper intends to frame the multicriteria analysis with the purpose of its implementation in railway investment projects concerning rehabilitation interventions. In this sense, its importance and potential will be highlighted for several stakeholders in the decision-making process, as well as the objectives and criteria definition for a practical implementation.

Sewability of Sheep Nappa Garment Leather

2014 ◽  
Vol 18 (2) ◽  
pp. 49-55
Author(s):  
Phebe Kavati ◽  
Chandrasekaran Bangaru ◽  
Asit Baran Mandal
Keyword(s):  
Experimental Investigation ◽  
Manufacturing Process ◽  
The Other ◽  
Strength Testing ◽  
Apparel Manufacturing ◽  
Sewing Thread ◽  
Essential Parameter ◽  
Basic Quality ◽  
Selection Of

Quality is an important aspect of the apparel manufacturing process. Although the basic quality of apparels mainly depends on the fabric properties, the type of thread used and selection of seams play an important role in determining the final quality of the apparel. Seam strength testing is basically an examination of the amount of pressure required to tear the seam of a garment. It is an essential parameter that determines the performance of a garment. For the perfect fit and look of a garment, seam strength has to be proper. It is therefore worthwhile to select the correct sewing thread size for good seam quality. The present work reports on an experimental investigation about the effect of different threads on the characteristics of leather. The other parameters, which are investigated, include seam strength, puckering and slippage.

MODERN APPROACHES TO QUALITY CONTROL OF BRANDY AND SPIRITS PRODUCED FROM TABLE WINE

2019 ◽  
Author(s):  
И.В. ОСЕЛЕДЦЕВА ◽  
Р.В. АВАНЕСЬЯНЦ
Keyword(s):  
Quality Control ◽  
Alcoholic Beverages ◽  
Sources Of Information ◽  
Regulatory Documents ◽  
Phenolic Components ◽  
Quality Control Criteria ◽  
Control Criteria ◽  
Selection Of ◽  
The Eu

Проведен анализ перспективных направлений контроля качества бренди и коньячных дистиллятов. Рассмотрены предъявляемые к спиртным напиткам требования действующих на территории ЕС и ЕАЭС нормативных документов. Показано, что эффективность контроля качества бренди может быть достигнута использованием комбинированной схемы исследования продукции, включающей оценку нормируемых дополнительных показателей, характеризующих свойства дистиллятов и вырабатываемых из них бренди. Рассмотрены основные современные методы исследования состава и свойств коньячных дистиллятов и бренди. Отмечены как источники информации о качестве коньячных дистиллятов и бренди профили высших спиртов, органических кислот, летучих эфиров, фурановых и фенольных компонентов. Представлены данные по расчетным критериям контроля качества бренди и коньячных дистиллятов. The analysis of perspective directions of quality control of brandy and cognac distillates is carried out. The requirements of regulatory documents in force on the territory of the EU and the EAEU for alcoholic beverages are considered. It is shown that the effectiveness of quality control of brandy can be achieved by using a combined scheme of product research, including the assessment of normalized additional indicators characterizing the properties of distillates and brandy produced from them. The main modern methods for studying the composition and properties of brandy distillates and brandy are considered. It is shown that one of the most valuable sources of information on the quality of brandy distillates and brandy are the profiles of higher alcohols, organic acids, volatile esters, furan and phenolic components. Data on modern approaches to the selection of additional criteria for quality control of brandy and brandy distillates are given. Data on calculated brandy quality control criteria are presented.

scholarly journals Potential of using data assimilation to support forest planning

2017 ◽  
Vol 47 (5) ◽  
pp. 690-695 ◽  
Author(s):  
Rami Saad ◽  
Kyle Eyvindson ◽  
Peichen Gong ◽  
Tomas Lämås ◽  
Göran Ståhl
Keyword(s):  
Decision Making ◽  
Data Assimilation ◽  
Forest Planning ◽  
Decision Making Process ◽  
Sources Of Information ◽  
Related Literature ◽  
Potential Benefits ◽  
Using Data ◽  
Scientific Fields

Uncertainty in forest information typically results in economic and ecological losses as a consequence of suboptimal management decisions. Several techniques have been proposed to handle such uncertainties. However, these techniques are often complex and costly. Data assimilation (DA) has recently been advocated as a tool that may reduce the uncertainty, thereby improving the quality of forest planning results. It offers an opportunity to make use of all new sources of information in a systematic way and thus provides more accurate and up-to-date information to forest planning. In this study, we refer to literature on handling uncertainties in forest planning, as well as related literature from other scientific fields, to assess the potential benefits of using DA in forest planning. We identify five major potential benefits: (i) the accuracy of the information will be improved; (ii) the information will be kept up to date; (iii) the DA process will provide information with estimated accuracy; (iv) stochastic decision making can be applied whereby the accuracy of the information can be utilized in the decision making process; and (v) DA data allows for the analysis of optimal data acquisition decisions.

scholarly journals Application of Artificial Intelligence Technology in Decision-Making of Mechanical Manufacturing Process

2021 ◽  
Vol 2143 (1) ◽  
pp. 012008
Author(s):  
Zhanfeng Li
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Manufacturing Process ◽  
Social Life ◽  
Raw Materials ◽  
Decision Making Process ◽  
Method Performance ◽  
Deformation Amount ◽  
Artificial Intelligence Technology ◽  
Basic Production

Abstract The traditional mechanical manufacturing process is to transform all raw materials into the final materials and products and directly into the international market all the production process, in this process we involved a lot of problems about decision-making methods, decision-making process is a most basic production technology activity, it is widely exists in the whole social life and each link of enterprise production. This paper studies the decision-making method of mechanical manufacturing process based on artificial intelligence, optimizes the process parameters of plastic integrated mechanical manufacturing process, and compares it with the traditional decision-making method. Finally, the experimental results are obtained that the traditional decision-based method is reduced by more than 10% in size error. But several experiments, the AI decision-making method appeared deviation, the error results are higher than the traditional decision-making method, which may be objective factors, but also reflects the possibility of instability, in the result of deformation. AI-based decision method performance is higher than the traditional decision-making method, reduce the deformation amount by 3.5%

Artificial intelligence in the modeling of chemical reactions kinetics

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Maciej Staszak
Keyword(s):  
Artificial Intelligence ◽  
Chemical Processes ◽  
Rate Equations ◽  
Network Systems ◽  
Current State ◽  
Wide Range ◽  
Kinetics Of ◽  
Fast Evolution ◽  
Selection Of

AbstractThe work presents a selection of recent papers in the field of modeling chemical kinetics by the use of artificial intelligence methods. Due to the fact that kinetics of the chemical reaction is the key element of industrial reactor design and analysis, the work is focused on the presentation of the quality of modeling, the assembly of neural network systems and methods of training required to achieve acceptable results. The work covers a wide range of classes of chemical processes and modeling approaches presented by several authors. Because of the fact that the methods of neural networks training require huge amounts of data, many approaches proposed are intrinsically based on classical kinetics modeling like Monte Carlo methods, quantum ab initio models or classical Arrhenius-like approaches using mass balance rate equations. The work does not fully exhaust the area of artificial intelligence because of its very broad scope and very fast evolution, which has been greatly accelerated recently. However, it is a contribution to describing the current state of science in this field.

scholarly journals Bending the quality curve

2019 ◽  
Vol 32 (Supplement_1) ◽  
pp. 1-7 ◽  
Author(s):  
Jeffrey Braithwaite ◽  
Robyn Clay-Williams ◽  
Natalie Taylor ◽  
Hsuen P Ting ◽  
Teresa Winata ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Research Programme ◽  
Cross Sectional ◽  
Aims And Scope ◽  
Methodological Considerations ◽  
The Relationship ◽  
Institutional Initiatives ◽  
Selection Of ◽  
The Way

Abstract With this paper, we initiate the Supplement on Deepening our Understanding of Quality in Australia (DUQuA). DUQuA is an at-scale, cross-sectional research programme examining the quality activities in 32 large hospitals across Australia. It is based on, with suitable modifications and extensions, the Deepening our Understanding of Quality improvement in Europe (DUQuE) research programme, also published as a Supplement in this Journal, in 2014. First, we briefly discuss key data about Australia, the health of its population and its health system. Then, to provide context for the work, we discuss previous activities on the quality of care and improvement leading up to the DUQuA studies. Next, we present a selection of key interventional studies and policy and institutional initiatives to date. Finally, we conclude by outlining, in brief, the aims and scope of the articles that follow in the Supplement. This first article acts as a framing vehicle for the DUQuA studies as a whole. Aggregated, the series of papers collectively attempts an answer to the questions: what is the relationship between quality strategies, both hospital-wide and at department level? and what are the relationships between the way care is organised, and the actual quality of care as delivered? Papers in the Supplement deal with a multiplicity of issues including: how the DUQuA investigators made progress over time, what the results mean in context, the scales designed or modified along the way for measuring the quality of care, methodological considerations and provision of lessons learnt for the benefit of future researchers.

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