System of automated expert analytical assessment of quality of competitive products. Theoretical part

Author(s):  
M.K. Skrypnikova ◽  

The paper offers an automated expert-analytical method for evaluating product quality. The theoretical basis of the method is considered. It is shown that when forming the defining quality parameters, it is necessary to first formulate the goals of functioning of competing products and their enlarged components, paying special attention to the issues of ensuring the reliability and safety of the systems in which the products are used. The expert method of quality assessment is used, based on the application of generalized experience and intuition of a group of expert specialists. The processing of the results of the questionnaire of experts included primarily a statistical analysis of the reliability and consistency of the estimates. Organizational measures have been developed to complete the task. In connection with the multivariance of this problem, the proposed method allows to increase the reliability and efficiency of obtaining assessments of the quality of competing products. The proposed methodology of expert-analytical assessment of quality indicators makes it possible to more in-depth analysis, in particular, on the basis of the data obtained, it is possible to trace by which indicators a particular product gained an advantage, or vice versa lost to competitors.The scope of this technique can be extended to any product in solving problems of assessing their quality and competitiveness.

2020 ◽  
Vol 10 (513) ◽  
pp. 197-203
Author(s):  
O. I. Garafonova ◽  
◽  
I. F. Nechai ◽  

In the world, product quality has long been one of the major instruments for ensuring the economic development of companies. Achieving high quality parameters, in turn, is an important part of the economic strategy of any success-oriented business organization. The article is aimed at developing directions for improving products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl». The object of the research is the quality of beer produced by PJSC «Beer and Non-Alcoholic Plant «Radomyshl». The assessment of the quality level of the selected product in accordance with the requirements of DSTU 3888:2015 was carried out using the following groups of indicators: microbiological, organoleptic and physic-chemical. The process of assessing the product quality parameters is presented, which consists of seven consecutive stages and is carried out throughout the product life cycle. The factors under the influence of which the quality of products are formed and which may cause deviation from the specified quality parameters are analyzed and structured. The defects that appear due to these factors have been identified. The basis for improving the quality of products is primarily a thorough study of changes in demand for the business organization products. Three groups of measures are singled out, with the help of which one can achieve the desired level of product quality, namely: technological, organizational and socio-economic. A complex of priority measures to improve the quality of products of PJSC «Beer and Non-Alcoholic Plant «Radomyshl» is proposed. The element of scientific novelty is the development of an algorithm for the implementation of measures to improve the quality of products. During the implementation of measures to improve the quality, it is necessary to carry out systematic monitoring and generate reports on the implementation of the project in order to make possible an adjustment of the final result.


2019 ◽  
Vol 70 (11) ◽  
pp. 3778-3782
Author(s):  
Violeta Monica Radu ◽  
Petra Ionescu ◽  
Gyorgy Deak ◽  
Alexandru Anton Ivanov ◽  
Elena Diacu ◽  
...  

The aim of this paper is the evaluation of the trophic status of three lakes riparian to the Colentina River, namely Mogosoaia, Herastrau, Pantelimon, as Part III of an extended study on evaluation of the freshwater resources quality in Bucharest and surrounding areas [1, 2], supplementing the general quality assessment based on indices and indexes presented in Part I with a more in depth analysis of nutrient speciation and partitioning between water and upper sedimentary layers. Water and sediment samples were taken from the inlet and outlet areas of each lake in two sampling campaigns in July 2016 and September 2016. Some of the nutrient related water quality parameters presented in Part I of this series have been used here, together with the analysis of total nitrogen and total phosphorus content in sediments, to assess the general trophic state of the lakes and to highlight the relationships between the nitrogen and the phosphorus content from water and sediments.The studied lakes were found to be eutrophic, Mogosoaia and Pantelimon being in the most advanced state. A significant amount of nitrogen and phosphorus was detected in all sediments analysed, constituting a high accumulation of nutrients from anthropogenic activities. Actions to improve local sanitation infrastructure and to prevent anaerobic leakage of nutrients from sedimentary deposits are recommended.


With growing numbers of mHealth interventions, there is a need to evaluate the quality of existing apps based on quality assessment criteria that are grounded in published literature and health behavior research. These criteria can help identify the quality of mHealth apps from the perspectives of reliability, feature usefulness and feature convenience. This chapter will discuss the various quality criteria that are relevant for mHealth apps that target drug-related problems, as well as for medication management, through the development of two quality assessment tools. In addition to reliability, usability and privacy criteria, other feature criteria related to tele-monitoring, interaction checkers, dose calculators, medication information provision, medication records, as well as tele-support, tele-collaboration and personalization/contextualization, will be discussed. This chapter aims to provide guidance to mobile app developers, clinicians and patients on the types of quality parameters to consider in apps that are designed for pharmaceutical care and medication management.


2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Mansoor A. Baluch ◽  
Hashim Nisar Hashmi

Water quality of the Indus River around the upper basin and the main river was evaluated with the help of statistical analysis. In order to analyze the similarities and dissimilarities for identifying the spatial variations in water quality of the Indus River and sources of contamination, multivariate statistical analysis, i.e., principle component analysis (PCA), cluster analysis, and descriptive analysis, was done. Data of 8 physicochemical quality parameters from 64 sampling stations belonging to 6 regions (labeled as M1, M2, M3, M4, M5, and M6) were used for analysis. The parameters used for assessing the water quality were pH, dissolved oxygen (DO), oxygen reducing potential (ORP), electrical conductivity (EC), total dissolved solids (TDS), salinity (%), and concentration of arsenic (As) and lead (Pb), respectively. PCA assisted in extracting and recognizing the responsible variation factors of water quality over the region, and the results showed three underlying factors including anthropogenic source pollution along with runoff due to rain and soil erosion were responsible for explaining the 93.87% of total variance. The parameters which were significantly influenced by anthropogenic impact are DO, EC, TDS (negative), and concentration of Pb (positive), while the concentration of As, % salinity, and ORP are affected by erosion and runoff due to rain. The worst pollution situation for regions M1 and M6 was due to the concentration of As which was approximately 400 μg/l (i.e., 40 times higher than minimum WHO recommendation). Furthermore, the results also indicated that, in the Indus River, three monitoring stations and five quality parameters are sufficient to have a reasonable confidence about the quality of water in this most important reserve of Pakistan.


2020 ◽  
Vol 28 (4) ◽  
pp. 377-379
Author(s):  
Adeela Mustafa ◽  
Romana Ayub ◽  
Bakht Danyal Khan ◽  
Alveena Karam ◽  
Faizan . ◽  
...  

ABSTRACT Objectives: To assess the quality of service provision of different Basic Health Units of district Peshawar. Materials and Methods: It was a simple descriptive Cross-sectional study which was carried out in 06 months duration. A total of 08 BHUs of district Peshawar were included in the study using convenient sampling technique. Data was collected through a semi structured questionnaire, direct observation and discussions with the respondents. The data was analyzed through SPSS version22. The data was presented using tables and graphs. Results: In depth analysis of the various facilities in BHUs were done. 8 BHUs were selected. Availability of medicines in BHUs was 12%. 75% of the BHUs had a clean continuous supply of drinking water whereas 50% had less than one hour of electricity per day. Also 76% of the patients were satisfied with the healthcare. Patients were mostly satisfied as far as staff behavior and convenience was concerned. However, 91% agreed that there is still room for improvement. Conclusion: Main issues found in all of the BHUs was non-availability of medicines, electricity problem, and sometimes non-availability of doctors. Keywords: BHU, quality assessment, service provision  


2019 ◽  
Author(s):  
Arne Melsom ◽  
Cyril Palerme ◽  
Malte Müller

Abstract. The ice edge is a simple quantity in the form of a line that can be derived from a spatially varying sea ice concentration field. Due to its long history and relevance for operations in the Arctic, the position of the ice edge should be an essential element in any system that is designed to monitor or provide forecasts for the physical state of the Arctic Ocean and adjacent ocean regions. Like for all components of monitoring and forecast products, users need to complement information about the ice edge position with the expected accuracy of the data or model results. Such information is traditionally available as a set of metrics that provide a concentrated assessment of the information quality. In this study we provide a survey of metrics that are presently included in the product quality assessment of the CMEMS Arctic Marine Forecasting Center sea-ice edge position forecast. We show that when ice edge results from different products are compared, mismatching results for polynya and local freezing at the coasts of continents and archipelagos have a large impact on the quality assessment. Such situations, which occur regularly in the products we examine, have not previously properly been acknowledged when a set of metrics for the quality of ice edge position results have been constructed. We examine the quality of ice edge forecasts using a total of 17 metrics for the ice edge position. These metrics are analyzed in synthetic examples, in selected cases of actual forecasts, and for a full year of weekly forecast bulletins. Using necessity and simplicity of information as a guideline, we recommend using a set of four metrics that sheds light on the various aspects of product quality that we consider. Moreover, any user is expected to be interested in a limited part of the geographical domain, so metrics derived as domain-wide integrated quantities may be of limited value. Consequently, we recommend that metrics are also made available for appropriate set of subdomains. Furthermore, we find that the metrics' decorrelation time scales are much longer than the present forecast range. Hence our final recommendation is to include depictions of gridded mismatching of ice edge positions using maps for the integrated ice edge error.


2019 ◽  
Vol 15 (2) ◽  
pp. 93-115
Author(s):  
Muhammad Amir

Muhammad Amir, 2018. Effect of Product Quality on Customer Loyalty Toyota Parts at PT. Hadji Kalla Branch Soppeng, guided by Kapriani and Yamin Sucipto. This study aims to determine the effect of product quality on customer loyalty in purchasing genuine Toyota parts at PT. Hadji Kalla Soppeng Branch. This study used 53 samples. The analytical method used in this study is deskritif analysis and statistical analysis through simple regression, determination, correlation, and t test. The results of research at PT. Hadji Kalla Toyota Soppeng Branch. Based on the results of the equation Y = 2.63 + 0.96X, correlation analysis (r) = 0.76, correlation coefficient (r2) = 0.58 and hopetesis testing t-count = 8.350 t-table = 1.67528. That there is a significant influence between product quality on customer loyalty at PT. Toyota Hadji Kalla Soppeng Branch.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Renata Salerno-Kochan ◽  
Paweł Turek

AbstractThis article presents the results of research carried out based on consumer assessment of the quality of clothing using sensory analysis. The study aimed to determine the role of the brand and information about it in assessing product quality and identify the quality parameters that distinguish brands of a similar quality level. An attempt was also made to classify popular brands of clothing available on the Polish market based on the parameters that determine their quality. A significant impact of the brand name on the sensory assessment of clothes’ quality has been reported. The study has shown that assessors attribute higher rating values to quality features when they know the product brand; moreover, the brand and its information shortens the assessment time, which may suggest that it simplifies and facilitates consumers’ decision-making process. The result analysis has led to the identification of three groups of the factors determining the quality of clothing products: fabric composition, workmanship, and all other variables. It has also led to the separation of three clusters, characterized by different levels of product quality, for which sets of features distinguishing a given category were determined.


Author(s):  
Ewa Kulińska ◽  
Dariusz Masłowski ◽  
Małgorzata Dendera-Gruszka ◽  
Lilianna Wojtynek ◽  
Konstanty Szeląg

The automation of production is an important element in the functioning of any production enterprise. The aim of this article is to analyze the quality of the product made manually with the use of spot-welding machines and to analyze the quality of the product made by the industrial robot type "Fanuc Robotics S-420i". The analyzed product was the front panel of the body, made of semi-finished products in the spot-welding process. During the analysis, the impact of production automation on the product quality was found. Applications of the robotized welding process are used not only because of better quality parameters, but also because of the significant reduction of production costs and less fatigue of employees. The robot operator is a quality controller and contributes to quality management.


2019 ◽  
Vol 70 (11) ◽  
pp. 3778-3782
Author(s):  
Violeta Monica Radu ◽  
Petra Ionescu ◽  
Gyorgy Deak ◽  
Alexandru Anton Ivanov ◽  
Elena Diacu ◽  
...  

The aim of this paper is the evaluation of the trophic status of three lakes riparian to the Colentina River, namely Mogosoaia, Herastrau, Pantelimon, as Part III of an extended study on evaluation of the freshwater resources quality in Bucharest and surrounding areas [1, 2], supplementing the general quality assessment based on indices and indexes presented in Part I with a more in depth analysis of nutrient speciation and partitioning between water and upper sedimentary layers. Water and sediment samples were taken from the inlet and outlet areas of each lake in two sampling campaigns in July 2016 and September 2016. Some of the nutrient related water quality parameters presented in Part I of this series have been used here, together with the analysis of total nitrogen and total phosphorus content in sediments, to assess the general trophic state of the lakes and to highlight the relationships between the nitrogen and the phosphorus content from water and sediments.The studied lakes were found to be eutrophic, Mogosoaia and Pantelimon being in the most advanced state. A significant amount of nitrogen and phosphorus was detected in all sediments analysed, constituting a high accumulation of nutrients from anthropogenic activities. Actions to improve local sanitation infrastructure and to prevent anaerobic leakage of nutrients from sedimentary deposits are recommended.


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