scholarly journals Automated Quality Assurance of Online NIR Analysers

2005 ◽  
Vol 2005 (2) ◽  
pp. 44-49 ◽  
Author(s):  
Kari Aaljoki
Keyword(s):  
Quality Assurance ◽  
Visual Inspection ◽  
Process Management ◽  
Closed Loop ◽  
Prediction Models ◽  
Complex Issue ◽  
Sample Handling ◽  
Valuable Data ◽  
Key Variables

Modern NIR analysers produce valuable data for closed-loop process control and optimisation practically in real time. Thus it is highly important to keep them in the best possible shape. Quality assurance (QA) of NIR analysers is an interesting and complex issue because it is not only the instrument and sample handling that has to be monitored. At the same time, validity of prediction models has to be assured. A system for fully automated QA of NIR analysers is described. The system takes care of collecting and organising spectra from various instruments, relevant laboratory, and process management system (PMS) data. Validation of spectra is based on simple diagnostics values derived from the spectra. Predictions are validated against laboratory (LIMS) or other online analyser results (collected from PMS). The system features automated alarming, reporting, trending, and charting functions for major key variables for easy visual inspection. Various textual and graphical reports are sent to maintenance people through email. The software was written with Borland Delphi 7 Enterprise. Oracle and PMS ODBC interfaces were used for accessing LIMS and PMS data using appropriate SQL queries. It will be shown that it is possible to take actions even before the quality of predictions is seriously affected, thus maximising the overall uptime of the instrument.

scholarly journals Combine Clustering and Machine Learning for Enhancing the Efficiency of Energy Baseline of Chiller System

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4368 ◽  
Author(s):  
Chun-Wei Chen ◽  
Chun-Chang Li ◽  
Chen-Yu Lin
Keyword(s):  
Machine Learning ◽  
Prediction Accuracy ◽  
Prediction Models ◽  
Machine Learning Algorithms ◽  
Learning Models ◽  
Important Method ◽  
Gap Statistic ◽  
Machine Learning Model ◽  
Key Variables

Energy baseline is an important method for measuring the energy-saving benefits of chiller system, and the benefits can be calculated by comparing prediction models and actual results. Currently, machine learning is often adopted as a prediction model for energy baselines. Common models include regression, ensemble learning, and deep learning models. In this study, we first reviewed several machine learning algorithms, which were used to establish prediction models. Then, the concept of clustering to preprocess chiller data was adopted. Data mining, K-means clustering, and gap statistic were used to successfully identify the critical variables to cluster chiller modes. Applying these key variables effectively enhanced the quality of the chiller data, and combining the clustering results and the machine learning model effectively improved the prediction accuracy of the model and the reliability of the energy baselines.

Quality Assurance of Laser Welded Axisymmetric Sandwich Structure

2013 ◽  
Vol 549 ◽  
pp. 529-534 ◽  
Author(s):  
Kimmo Illikainen ◽  
Kalle Holappa ◽  
Kari Mäntyjärvi
Keyword(s):  
Quality Assurance ◽  
Working Conditions ◽  
Sandwich Structure ◽  
Visual Inspection ◽  
Experimental Tests ◽  
The Body ◽  
Destructive Testing ◽  
Great Strength ◽  
Static Tests

This study focuses on quality assurance in a laser welded axisymmetric sandwich structure that functions as the body of an electric machine. The manufacturing quality of the structure was measured using destructive testing and visual inspection. The destructive tests included both fatigue and static tests in addition to a macrographic examination. The visual inspection comprised ocular estimates of the laser welded seams as well as their requirements. Compared with the real working conditions of the machine, the experimental tests were exhaustive. Nevertheless, in the tests, the bodies held up very well which shows the great strength of the structure.

scholarly journals Measurement system analysis by attribute, an effective tool to ensure the quality of the visual inspection process within an organization

2019 ◽  
Vol 290 ◽  
pp. 05004
Author(s):  
Carmen Simion
Keyword(s):  
Quality Assurance ◽  
Measurement System ◽  
Visual Inspection ◽  
System Analysis ◽  
Measurement Data ◽  
Quality Assurance Program ◽  
Measurement Systems ◽  
Measurement System Analysis ◽  
Inspection Process

A successful quality assurance program in any organization needs good measurement systems. The concept of measurement system refers to the manpower, machines, materials, methods and mother nature involved in obtaining measurements. Measurement system analysis (MSA) is a set of procedures which are used to determine the amount of variation due to the measurement system and if the measurement data are valid. Most problematic measurement system issues come when the results of a measurement system are qualitative values such as “pass” or “fail” (attribute data) rather than quantitative values (variable data). Because in industry many measurement systems deal with qualitative data, the assessment of the visual inspection process is a contemporary approach for quality assurance in most manufacturing organizations. The aim of this paper is to apply the MSA attribute study in a local company from the Sibiu region supplying products for automotive industry, to ensure the quality of the visual inspection process for one of their parts, respectively the exterior lighting projectors (Day Running Light, DRLs). The output data were analyzed using Minitab software. The conclusion was that the visual inspection process must be improved by appraisers training and developing panel with samples for the most common defect types of DRLs.

scholarly journals Criteria in Designing of Compressed Air Installation in Foundry Plants

2014 ◽  
Vol 14 (4) ◽  
pp. 103-108
Author(s):  
R. Wrona ◽  
M. Brzeziński ◽  
E. Ziółkowski
Keyword(s):  
Quality Assurance ◽  
Network Structure ◽  
Optimal Solution ◽  
Structure Design ◽  
Compressed Air ◽  
Paper Briefly ◽  
Complex Issue ◽  
Major Task ◽  
Required Quality

Abstract Design of a compressed air system is a complex issue, involving the design of structures formed by the air sources, air receptors and installations connecting all structure components. Another major task is to ensure the required quality of compressed air. The paper briefly outlines the methodology of integrated and network structure design, using an objective function to find the optimal solution. In terms of quality assurance, the technological aspects of compressed air generation, treatment and distribution are defined.

Systematization of the smart city civil engineering infrastructure

2020 ◽  
Vol 18 (4) ◽  
pp. 765-779
Author(s):  
E.V. Popov ◽  
K.A. Semyachkov ◽  
K.V. Zhunusova
Keyword(s):  
Smart City ◽  
Process Management ◽  
Smart Cities ◽  
Digital Technologies ◽  
Urban Infrastructure ◽  
Infrastructure Development ◽  
Economic Innovation ◽  
Civil Engineering Infrastructure ◽  
Functional Transformations

Subject. This article explores the basic elements of the engineering infrastructure of smart cities. Objectives. The article aims to systematize theoretical descriptions of the engineering infrastructure of a smart city. Methods. For the study, we used a logical analysis and systematization. Results. The article highlights the main areas of infrastructure development of smart cities. Conclusions. Improving process management mechanisms, optimizing urban infrastructure, increasing the use of digital technologies, and developing socio-economic innovation improve the quality of the urban environment in a digitalized environment. And improving the efficiency of urban planning and security, studying its properties and characteristics, and forming an effective urban information system lead to its functional transformations.

CONCEPTUAL BASES OF ADAPTATION OF UKRAINE’S HIGHER EDUCATION TO THE STANDARDS OF EDUCATION QUALITY OF THE EUROPEAN AREA

2018 ◽  
Author(s):  
Nina Batechko
Keyword(s):  
Higher Education ◽  
Quality Assurance ◽  
European Higher Education Area ◽  
Quality Of Higher Education ◽  
European Area ◽  
European Higher Education ◽  
European Standards ◽  
Conceptual Foundations

The article outlines the conceptual framework for adapting Ukrainian higher education to the Standards and Recommendations for Quality Assurance in the European higher education area. The role of the Bologna Declaration in ensuring the quality of higher education in Europe has been explained. The conceptual foundations and the essence of standards and recommendations on quality assurance in the European higher education area have been defined. The Ukrainian realities of the adaptation of higher education of Ukraine to the educational European standards of quality have been characterized.

Counterfeit Parts Recognition and Detection for Failure Analysts

2010 ◽  
Author(s):  
Katherine V. Whittington
Keyword(s):  
Thermal Cycle ◽  
Visual Inspection ◽  
Acoustic Microscopy ◽  
Scanning Acoustic Microscopy ◽  
3D Measurement ◽  
X Ray ◽  
Wide Range ◽  
Electronic Parts ◽  
Testing Awareness

Abstract The electronics supply chain is being increasingly infiltrated by non-authentic, counterfeit electronic parts, whose use poses a great risk to the integrity and quality of critical hardware. There is a wide range of counterfeit parts such as leads and body molds. The failure analyst has many tools that can be used to investigate counterfeit parts. The key is to follow an investigative path that makes sense for each scenario. External visual inspection is called for whenever the source of supply is questionable. Other methods include use of solvents, 3D measurement, X-ray fluorescence, C-mode scanning acoustic microscopy, thermal cycle testing, burn-in technique, and electrical testing. Awareness, vigilance, and effective investigations are the best defense against the threat of counterfeit parts.

Estudio del proceso de lavado de contenedores para eliminar tiempos y movimientos innecesarios, caso: Wash Containers S.A de C.V.

2020 ◽  
pp. 25-36
Author(s):  
Juan Alfredo Lino-Gamiño ◽  
Carlos Méndez-González ◽  
Eduardo José Salazar-Araujo ◽  
Pablo Adrián Magaña-Sánchez
Keyword(s):  
Business Process ◽  
Value Chain ◽  
Process Management ◽  
Core Business ◽  
The Core ◽  
Washing Process ◽  
Overall Performance ◽  
The Times

In the value chain it is important to keep in mind the core business of the company, since it depends largely on the competitiveness of the company and its overall performance, bearing in mind that all business indicators depend on it. In this work we will study the washing process within the company WASH CONTAINERS SA DE CV, to improve the washing processes and in this way reduce times and movements in the process leading the company to reduce costs considerably within the operations company daily, having a more competitive operation and with greater profit margin in its business process. Goals: It Improve the logistics of the movement of containers for washing and with it the core business of the company. Methodology: The action research will be applied applying Business Process Management for the improvement of processes in situ, it will be developed in a certain period of time and with that it will establish an improvement projection. Contribution: The improvement of the times for the disposal of the containers and their subsequent use, allows a better competitiveness and with it the income of the company, on the other hand, the transport companies improve in performance in quantity, quality of disposition and with it their income.

PKM Peningkatan Kuantitas Dan Kualitas Produksi Bakpia Dan Nugget Tempe Melalui Pemanfaatan Teknologi Otomasi Di Desa Bangunharjo

2019 ◽  
Vol 3 (1) ◽  
pp. 25
Author(s):  
Yohannes Anton Nugroho ◽  
Ari Zaqi Al Faritsy ◽  
Ari Sugiharto
Keyword(s):  
Quality Assurance ◽  
Production Capacity ◽  
Community Partnership ◽  
Economic Independence ◽  
Production Time ◽  
Industry Association ◽  
Processing Equipment ◽  
Automation Technology ◽  
Partnership Program

The Community Partnership Program in partnership with the Tani Rahayu Women's Group and the Bakpia Jurug Industry Association have succeeded in helping create economic independence. The results of this program are increased capacity and quality of production of bakpia and tempeh nuggets in the partner group. The implementation of mechanical and automation technology-based tools is able to increase the production capacity of tempe nuggets from 2 kg to 24 kg in a production time of 8 hours. While the implementation of the use of bakpia kumbu processing equipment was able to increase the production of 3 kg to 24 kg in a production time of 8 hours. The utilization of these tools has also been followed by quality assurance training and assistance, so that the quality of the products produced is uniform.

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