Journal articles on the topic 'Statistical indicator of the process'
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1
Lengerov, Angel, Galina Nikolcheva, and Lyubomir Lazov. "STATISTICAL CONTROL OF ACCURACY AT MACHINING." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 3 (June 15, 2017): 183. http://dx.doi.org/10.17770/etr2017vol3.2596.
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This research examines the statistical method for quality control. The accuracy of parts is controlled statistical evaluation - an average and a dispersion of the indicator for accuracy. This paper reports a method for quality control of parts of average indicators and algorithm for quality control of the average and dispersion of samples of small size. It proposes a criterion of applicability of statistical adjustment of accuracy by sampling for control of the average data of the quality indicator. It proves the influence of the dispersion of the quality indicator for impairing the quality of the process.
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Nugraha, Arya, and Gatot Yudoko. "STATISTICAL PROCESS CONTROL IMPLEMENTATION AS EARLY WARNING SIGNAL FOR SAFETY INTERVENTION IMPROVEMENT AT MINING OPERATION." Journal of Engineering and Management in Industrial System 8, no. 2 (July 10, 2020): 32–55. http://dx.doi.org/10.21776/ub.jemis.2020.008.02.4.
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As the frequency, severity, and costs of safety risks continue to become a challenge for mining industry, the company understood that the existing safety analytic does not provide adequate information, as it has been relying predominantly on collecting and evaluating aggregated data of lagging indicators about past accidents. This method has been negatively driving the organization to carry out repetitive cycle of accident analysis and problem solving, and therefore, undertaking reactive responses. This paper investigated how statistical process control, in particular control charts, can be applied to hazards data, as the leading indicator of accidents, to detect statistically trends in safety process and safety behavior, aiming to control the safety process in real-time manner before the occurrence of accidents. The result showed that the latest iteration of control limits development in Phase 3 is suitable as the control chart for safety process in one of case study mine operation site. Furthermore, the implementation of control charts to hazards data not only it helps the organization to transition its safety analytic to leading indicator analysis, it enables the organization to control safety process in real-time practice and to carry out timely safety intervention long before the potential occurrence of severe accidents, in which within this case, the first early warning signal was triggered 49 days before the occurrence of the fatality accident.
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Hou, Xiang Chao, and Zhao Juan Li. "Methods of Green Residence Evaluation Indicator System Establishment and Indicator Weights Assignment — Taking Fujian Province for Instance." Applied Mechanics and Materials 584-586 (July 2014): 2378–83. http://dx.doi.org/10.4028/www.scientific.net/amm.584-586.2378.
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To negate the disadvantage in the current evaluation indicator of green residence where no weight difference is included, an indicator system is established based on the Evaluation Standard for Green Buildings in Fujian Province through questionnaire. By combining the regional features of Fujian Province, analytic hierarchy process is applied to assign weight for green residence evaluation indicator in accordance with the statistical result of questionnaire survey data, so as to improve the effectiveness of green residence evaluation.
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Buics, László, and Edit Süle. "Statistical analysis of Hungarian public service processes for key performance indicator measurement." Hungarian Statistical Review 3, no. 2 (2020): 71–98. http://dx.doi.org/10.35618/hsr2020.02.en071.
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The sophisticated and extensive toolkit for designing, managing, and measuring industrial processes is constantly expanding and forced to meet the new standards that are set by the limitless amount of data offered by the digitalisation of the industrial environment. However, services are managed under cumbersome conditions, in terms of expectations, measurability, and the modelling techniques used. Key performance indicators (KPIs) have been used for a long time in the private sector and industry compared with the public sector. Companies often use KPIs to measure the performance of individual processes to determine whether they meet or fail the expectations of customers and themselves. While public sector service providers are often monopolistic, the performance measurement also becomes a hot debate in the public sector as the citizens’ demand for quality services increases. This study aims to identify objective KPIs and demonstrate how they can be measured in a public service context, regardless of the type and complexity of the given service. As an example, the authors discuss the front office operations of government windows and the contact affair procedures of guardianship offices. They apply business process modelling in order to map the service processes and perform a statistical analysis to extract waiting, processing and lead times from the available dataset to comprehensively overlook these services. Their goal is to offer an analogy of industrial service process management by presenting how the methods and measures can be used to review processes in an industrial, manufacturing or public service, using a holistic management approach.
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Taki, Herika Muhamad, and Mohamed Mahmoud H. Maatouk. "Spatial Statistical Analysis for Potential Transit Oriented Development (TOD) in Jakarta Metropolitan Region." Journal of Geoscience, Engineering, Environment, and Technology 3, no. 1 (March 1, 2018): 47. http://dx.doi.org/10.24273/jgeet.2018.3.01.1091.
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Spatial planning on Transit Oriented Development (TOD) concerns with the integration between land use and transportation aspects. However, in some places, public transport management based on transit nodes such as train services which are not well- integrated, and causing spatial chaos, especially surrounding station areas. It is essential to prepare a public transportation plan by maximizing regional potential capacity with TOD model. The purpose of this paper is to identify and prioritize potential areas for TOD using spatial statistical analysis with combined models of Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) for Jakarta Metropolitan Regional (JMR), Indonesia. This paper employed two major indicators: main- and sub-indicators depending on relevant references. The weight of each indicator was determined by chosen experts. The result showed that some of the metro areas of Jakarta were highly suitable for TOD and indicated the characteristics of the development of urban areas. This paper’s outcome was useful in order to determine the potential location of TOD and was applicable to other areas within the same geographical conditions.
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Voronin, K. P., V. S. Kotov, and A. Y. Lapidus. "The quality indicator model of the functioning on ship gas turbine plants." Transactions of the Krylov State Research Centre S-I, no. 1 (December 8, 2021): 134–36. http://dx.doi.org/10.24937/2542-2324-2021-1-s-i-134-136.
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Special mathematical models are described for predicting plant failures on the basis of multivariate statistical analysis of operational information by using factor analysis. The considered process of assessing changes in the technical state of a gas turbine engine in operation on the basis of factor analysis can be applied to various energy facilities for which the parameters of the working process are periodically recorded.
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Sujová, Andrea, Katarína Marcineková, and Ľubica Simanová. "Influence of Modern Process Performance Indicators on Corporate Performance — the Empirical Study." Engineering Management in Production and Services 11, no. 2 (July 30, 2019): 119–29. http://dx.doi.org/10.2478/emj-2019-0015.
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Abstract The increasing pressure of globalisation on the worldwide market has forced enterprises to shift their focus from product quality to effectiveness of internal business processes. The object of interest of this paper is a modern management approach based on corporate performance evaluation by measuring the performance of internal processes. The paper aims to prove that the use of modern indicators and the measurement of internal processes belong among factors that have a direct positive impact on corporate performance. To reach the aim, empirical primary research was carried out. The paper focused on research results regarding the use of modern indicators for the measurement of business processes in Slovak industrial enterprises from selected branches. The primary quantitative research was conducted using questionnaires. The research aimed to test the hypothesis stating that enterprises using modern indicators to measure process performance have been reaching more positive ROE values, representing a basic indicator of corporate performance. Dependences among the data selected from the empirical research were analysed using statistical methods, namely, the chi-squared test, T-test and the correlation analysis. Based on the statistically processed data, the authors concluded that business processes are a basic source for the evaluation of corporate performance. Higher ROE values can be reached using modern process indicators, especially in mass production enterprises. The paper contributed to the further development of knowledge in performance management, specifically, process-oriented management.
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Wang, DongXu, GuiMei Cui, LiXiang Pi, and Wei Liu. "Comprehensive evaluation about the quality of steel strip based on combination weighting." Journal of Physics: Conference Series 2258, no. 1 (April 1, 2022): 012035. http://dx.doi.org/10.1088/1742-6596/2258/1/012035.
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Abstract In order to solve the problem that the quality of steel strip products is rough by manual evaluation, this paper will combine expert knowledge with quality data and establish four evaluation grades by taking surface quality, mechanical properties and dimensional accuracy as evaluation indicators. Analytic hierarchy process (AHP) and entropy weight method are used to confirm the weight of each evaluation indicator. The mechanical properties and dimensional accuracy indicators are confirmed by statistical method to find out the optimal range of indicator parameters, and the indicator deterioration degree is calculated. The deterioration degree of surface quality indicator is confirmed by fuzzy language quantization. The membership degree of each indicator parameter is calculated according to the membership degree function of ridge distribution, and then the fuzzy comprehensive evaluation result matrix of strip quality is obtained by synthesizing each indicator parameter step by step. Finally, the comprehensive score of strip steel quality is obtained by quantizing and summing the evaluation result matrix. The experimental results show that the evaluation result of the model is consistent with the actual data, so it has certain practicability.
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Alashaari, Galal Abdulqader Ahmed. "The process capability to fulfill specifications with an application in pharmaceutical tablets weights." International Journal of ADVANCED AND APPLIED SCIENCES 8, no. 2 (February 2021): 70–76. http://dx.doi.org/10.21833/ijaas.2021.02.010.
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This research aims to identify one of the methods of statistical quality control, which is represented in the indicators of the Capability Process and explains its importance and how to use it for knowing the extension of the process to fulfill the specifications through several indicators with a statement that through practical application on one of the pharmaceutical products (Paramol Tablets Weights) one of the products of Yemeni Drug Company for Industry and Commerce (YEDCO). Hence, the results showed that the permits of process specifications of the tablet weight are equal to about 5 standard deviations, which is less than the standard practices, which are 8 standard deviations. Therefore, the capacity of the process for tablet weight is Cp<1, which is an undesirable state; because the production process is unable to satisfy the specifications. The CPK indicator shows that the process is decentralized and hence the inability of the process to fulfill the specifications; therefore, the company has to revise the limits of Paramol tablet weights specifications and to expand it as the company adopts numerous pharmacopeias in its operations. It must select the pharmacopeia that gives specifications which can make the process capability indicator and the index of process concentration in their standard state (Cp, Cpk=1.33mg).
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Kim, Nataliia. "Determining of Regularities of Evaluations of Technological Process Quality Indicators on a Sizeless Scale." Central Ukrainian Scientific Bulletin. Technical Sciences, no. 4(35) (2021): 142–52. http://dx.doi.org/10.32515/2664-262x.2021.4(35).142-152.
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The purpose of the article is to study the patterns of evaluation of quality indicators of the technological process on a sizeless scale. The quality of production depends on the quality of technological processes, namely - many factors of technological, technical and organizational nature. The technological process is the basis of any production process, is the most important part of it, associated with the processing of raw materials and its transformation into finished products. Product quality is the most important indicator of companies seeking to develop and succeed in competition among other manufacturers. This issue is especially relevant for Ukrainian companies seeking to be competitive in the European and world markets. To manage the quality of the object often have to use statistical methods of evaluation and management, where, as basic information you need to know not the law of distribution of quality in its units, and know the law of distribution of their assessments on a sizeless scale, therefore, research related to determining the patterns of distribution of assessments of quality indicators of the technological process on a sizeless scale. Knowing the law of distribution of unit quality indicators of the object of qualimetry and knowing the dependence with their estimates on a sizeless scale, it is possible to solve practical problems to determine the probability of getting estimates of quality indicators in a given interval. The solution of such problems is relevant in determining the risks of the processes of quality management systems, or determining the reliability of the technological process and other indicators. As a result of the study, the main conditions for the quantity and quality of statistical information were identified. It is shown that the correctness and efficiency of solving practical problems, using statistical methods of quality assessment, is determined by the amount of information about the functioning of the technological process, which can be divided into conservative and operational. Conservative information includes knowledge of the distribution law and finding effective statistical estimates of its parameters, and operational - the sample size.
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Alcântara, Aline S., Jéssica P. do Prado, Rafael de G. Corrêa, Rouverson P. da Silva, Murilo A. Voltarelli, and Roberval D. Vieira. "Quality monitoring of soybean seed tests using Statistical Process Control." Revista Brasileira de Engenharia Agrícola e Ambiental 22, no. 10 (October 2018): 689–95. http://dx.doi.org/10.1590/1807-1929/agriambi.v22n10p689-695.
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ABSTRACT The success of soybean cultivation depends on several factors, one which is the use of high-quality seeds, which can guarantee growth of the desired plant population. The objective of this study was to monitor possible failures during the seed production process, and to determine the association between germination and tetrazolium tests through tools of Statistical Process Control (CEP). The experimental design was based on premises of the CEP, using percentage of germination, seed viability, mechanical damage, bed bug, and moisture as indicators of quality. It is possible to detect flaws in the soybean production process through control charts, as well as through germination and tetrazolium tests; results indicated that germination failures are largely caused by mechanical damage and bed bug attacks.
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Avelini Holjevac, Ivanka. "Statistical indicators for hotel's results." Tourism and hospitality management 4, no. 1 (July 1998): 21–30. http://dx.doi.org/10.20867/thm.4.1.3.
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Information and communication systems are business resources of the hotel industry valorized on the market. Hotel industry is an activity with international character of dealing business, because it gives domestic and foreign guests needed services. The presence on the international market gives conditions for acceptance of a range of international information and communication standards at the market. If the hotel is not recognized by the tourism market, it has no survival and development possibilities. Information about dealing business in hotel are a capital, but satisfying conditions about beeing complete, correct, on time and comparable. This paper analyzes the system of statistical standard business indicators, with the aim to enable and fasten the process of management adaptation in Croatian hotels, with needs of contemporary management and inclusion in international statistics of hotel industry.
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Dvoryaninova, O. P., A. V. Alekhina, I. S. Kosenko, and A. S. Evstratova. "Quality evaluation of bakery products with application of statistical methods of analysis." Proceedings of the Voronezh State University of Engineering Technologies 81, no. 1 (July 18, 2019): 464–69. http://dx.doi.org/10.20914/2310-1202-2019-1-464-469.
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In this work the role of professional standards, the system of requirements of production to structure of working professions and to their competences, problems of ensuring production by skilled workers with shots is considered. Special attention is paid to a way of definition of the major factors influencing change of indicators of quality of a ready-made product and also definition of ways of optimization of these indicators of quality. In article it is also described problems of formation of a complete system of ensuring sustainable social and economic development. Creation of constructive mechanisms of interaction of the sphere of work and the education increasing efficiency and reducing expenses. The professional standards establishing the requirements to knowledge, abilities defining necessary competences for performance of a certain work or professional duties are studied are considered as one of tools allowing to create steady and effective interaction of the sphere of work and education, to provide rational use of human resources now. By means of statistical methods of accuracy and stability of course of process, key indicators of quality of Nikitinsky long loaf such as humidity of a crumb, acidity, mass fraction of sugar and mass fraction of fat were estimated. It was revealed that not all values of the chosen indicators submit to the normal law of distribution, except an indicator of acidity of ready long loaf the probabilistic share of marriage was calculated by this indicator of quality. For the purpose of increase in efficiency of activity of the enterprise, quality of works, services and processes development and deployment of the professional standard for the specialist in quality control of bakery products plays an important role as the professional standard, is the main step on the way of formation of an effective control system of personnel potential at the modern enterprise.
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Mudrychová, Kristýna, Martina Houšková Beránková, Tereza Horáková, Milan Houška, and Jitka Mudrychová. "Students' Processing of Differently Structured Text Materials Focused on Agricultural Waste Disposal Using Eye-tracking." Agris on-line Papers in Economics and Informatics 13, no. 4 (December 30, 2021): 85–99. http://dx.doi.org/10.7160/aol.2021.130408.
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This study was focused on agricultural waste disposal (AWD) textual materials. Two educational texts are compared: designed texts traditionally with no purposeful design and structured knowledge texts, including the textual form of knowledge units. Eye-tracking technology is employed for retrieving the values of critical indicators specifying the way of reading the texts. We analysed users' visual attention and looking behaviour during the reading process. Thirty-three students worked with 45 pieces of educational texts accompanied by a didactic test. Statistical analyses show statistically significant differences neither in any indicator within studying the texts nor in the users' success rate in the didactic test. The users can work with the knowledge structured texts equivalently with the designed texts in the traditional way. The positive effect for AWD is that users can process knowledge structured texts with better results.
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Wang, Yan Hui, Jun Jin, Ling Xi Zhu, Yong Qin, and Ping Li. "Safety Statistical Analysis Based on Urban Rail Transit Operation." Applied Mechanics and Materials 448-453 (October 2013): 4167–72. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.4167.
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Aiming at the characteristics of the safety of urban rail transit system operation, this paper adopts the comprehensive analysis and statistical chart included by the statistical analysis to process the data, which is based on the relevant data in accordance with Beijing Rail Traffic Control Center Statistics in 2012 and indicators of the station, line and road network, in addition, the trend and the indicator between horizontal and longitudinal contrast are also analyzed about stations, lines and the road network . The results can conclude the potential security risks information, such as, the maximum early peak average daily transfer of Xizhimen station, the maximum passenger traffic of Line1 ,the maximum passenger traffic of the road network up to July and August, and the largest proportion of signal failure. Finally, the laws can be find out, and the specific prevention measures can be put forward for the management, which has a certain significance for the reduction of accidents, and can give some theoretical guidance to urban rail transit operations managers.
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Kamal, Eman, and P. J. Parameaswari. "Testing of Defects per Million Medication Orders as a SMART Indicator for Monitoring Medication Safety in Admission and Discharge Orders." Global Journal on Quality and Safety in Healthcare 4, no. 1 (February 1, 2021): 11–17. http://dx.doi.org/10.36401/jqsh-20-32.
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ABSTRACT Introduction The study investigated the use of defects per million medication orders (DPMMO) as a SMART (specific, measurable, achievable, realistic, and timely) indicator for monitoring medication safety in admission and discharge orders. The study aimed to develop and test a new indicator as an investigator of medication safety. Methods The study was conducted in 2018 at King Saud Medical City in Riyadh City in Saudi Arabia. A retrospective cross-sectional design was used. The research sample had 292 patients. The selected medication orders included two types of medication orders (admission and discharge order). After sufficient data had been gathered from the hospitals, a statistical analysis was carried out. Results Analysis of admission and discharge orders indicated that defects per million opportunities (DPMO) and DPMMO count were slightly low, while the sigma level for admission orders was slightly high. Thus, the admission order process was slightly better than the discharge order process. Conclusion The DPMMO indicator could serve as a SMART indicator of medical safety. It can be used as a standardized indicator in any healthcare facility, which serves as a recommendation guide in monitoring and evaluating healthcare processes or systems that affect the safety and outcomes of patients.
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Deng, Xue, Yuying Liu, and Ye Xiong. "Analysis on the Development of Digital Economy in Guangdong Province Based on Improved Entropy Method and Multivariate Statistical Analysis." Entropy 22, no. 12 (December 20, 2020): 1441. http://dx.doi.org/10.3390/e22121441.
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The lack of adequate indicators in the research of digital economy may lead to the shortage of data support on decision making for governments. To solve this problem, first we establish a digital economy indicator evaluation system by dividing the digital economy into four types: “basic type”, “technology type”, “integration type” and “service type” and select 5 indicators for each type. On this basis, the weight of each indicator is calculated to find the deficiencies in the development of some digital economic fields by the improved entropy method. By drawing on the empowerment idea of Analytic Hierarchy Process, the improved entropy method firstly compares the difference coefficient of indicators in pairs and maps the comparison results to the scales 1–9. Then, the judgment matrix is constructed based on the information entropy, which can solve as much as possible the problem that the difference among the weight of each indicator is too large in traditional entropy method. The results indicate that: the development of digital economy in Guangdong Province was relatively balanced from 2015 to 2018 and will be better in the future while the development of rural e-commerce in Guangdong Province is relatively backward, and there is an obvious digital gap between urban and rural areas. Next we extract two new variables respectively to replace the 20 indicators we select through principal component analysis and factor analysis methods in multivariate statistical analysis, which can retain the original information to the greatest extent and provide convenience for further research in the future. Finally, we and provide constructive comments of digital economy in Guangdong Province from 2015 to 2018.
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Kuprin, D. S., and A. S. Polyakov. "The accuracy and reliability of comparative efficiency assessment of portable fire extinguishers used in the process of fire extinguishing of structural components of motor vehicles and automotive finishing." Pozharovzryvobezopasnost/Fire and Explosion Safety 30, no. 2 (May 15, 2021): 88–97. http://dx.doi.org/10.22227/pvb.2021.30.02.88-97.
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Introduction. The relevance of this work resides in the need to perform an unbiased comparative assessment of fire extinguishers. The focus must be placed on the efficiency of a fire-fighting agent, as it has a major impact on the process of fire extinguishing. The purpose of this work is to confirm the applicability of a dimensionless efficiency indicator of portable fire extinguishers, assess the measurement accuracy (correctness and precision) and their statistical values.Materials and methods. The co-authors used the methodology specified in GOST R 51057–2001 applicable to the fire extinguishing of class A model fire seats. The model fire seat had samples of materials attached to its upper edge at the angles whose values were obtained using a specialized test bed. A specialized test bed was used to perform the testing and identify the sample’s inclination angles that prevented the fire extinguishing agent, applied to their surface, from streaming down or crumbling. The accuracy (correctness and precision) was assessed pursuant to the methodologies specified in GOST R ISO 5725-1–2002, GOST R ISO 5725-6–2002. The statistical significance of measurements was assessed using Student’s t-test.Results and discussion. The co-authors offer the results of the experiments aimed at the identification of an inclination angle of the fire seat surface that prevents the fire extinguishing agent from streaming down or crumbling. The results of comparative fire testing of fire extinguishers that contain quick setting foam and powder are provided. The formula of a dimensionless efficiency indicator, applicable to portable fire extinguishers, is provided, and its applicability is proven.Conclusions. The measurement accuracy assessment, performed pursuant to the methodologies, specified in the regulations, has shown the effectiveness of mean arithmetic values of all indicators applied to calculate Peo efficiency indicator. The assessment of the statistical significance of experimentally obtained values of all indicators, performed with the help of Student’s t-test, has demonstrated that the discrepancy of their mean arithmetic values is reliable and it doesn’t have a random nature. The superiority of the quick setting foam extinguisher over the powder one was proven in an experiment. The value of its Peo efficiency indicator exceeds the one of a powder extinguisher 50-fold due to the comprehensive impact made by the extinguishing agent and the construction of a fire extinguisher.
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MELNYCHUK, Nataliia. "ECONOMIC AND STATISTICAL ASSESSMENT OF BUDGET MANAGEMENT EFFECTIVENESS IN PLANNING AND USING BUDGETARY EXPENDITURE." Ukrainian Journal of Applied Economics 4, no. 3 (August 30, 2019): 24–32. http://dx.doi.org/10.36887/2415-8453-2019-3-3.
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Introduction. The question of justification of optimal and efficient methods and tools of effective budgetary management is important when planning and using budget funds. At the same time, world experience does not give universal decisions on its organization and evaluation, since there are inherent budgetary structure and peculiarities of budget system building in each country. There is an urgent need to develop a system of indicators that can be used to assess the budget management effectiveness at the appropriate stage of the budget process. The purpose of the article is to develop indicators for evaluating the budget management effectiveness in planning and using budget funds on the basis of target and process approaches. Results. It is substantiated that, despite the importance of building an effective management system in the budgetary sphere, the issue of evaluating the budgetary management effectiveness in the planning and using of budgetary funds has not been properly developed. The list of indicators of budgetary management effectiveness at planning and using of budgetary means is offered and calculated in the context of target and process approaches. The integral performance index of budgetary management was calculated, which made it possible to distinguish the performance zones (critical, lower than average, medium, high). The conceptual and categorical apparatus of the economics theory and financial management has been further developed in order to clarify the meaningful content of the concepts of "target budget management effectiveness", "process budget management effectiveness", "overall budget management effectiveness". Conclusions. Thus, having conducted the research we were able to distinguish the indicators and, on their basis, to calculate an integral indicator of the budget management effectiveness in the planning and using of budget funds. Such calculations are based on targeted and process approaches, which allowed to determine the efficiency indexes of income planning, achievement of planned expenditures, rhythmic execution of income, the degree of uniformity of expenditures. Keywords: management system, effectiveness, budget, revenues, budget management, expenditures, planning, budgetary funds.
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Scheideler, Eva Maria, and Andrea Huxol. "In-Situ Process Monitoring in Additive Manufacturing Using Statistics and Pre-Process Data." Tehnički glasnik 14, no. 2 (June 11, 2020): 180–85. http://dx.doi.org/10.31803/tg-20200526143210.
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Long computation times are a major obstacle for the application of in-situ monitoring in additive manufacturing. This paper presents rapid in-situ monitoring, which returns a control value within typical build times. Observing powder bed fusion processes reveals that unsuitable parameter settings influence the appearance of the molten surface and the surrounding powder bed. The presented research approach evaluates the changing appearance of the exposed layers, in combination with the information from the preprocess about the position and geometry of the components in each layer. Grayscale images are captured with the build envelope camera and examined regarding the grayscale distribution in the critical areas surrounding the component boundaries. The grayscale distribution is then used to predict product quality by using standard statistical methods. The combination of the pre-process data and the fast analysis of the grayscale distribution allows promptly calculating a performance indicator for required process intervention and control.
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Kedong, Yin, Shiwei Zhou, and Tongtong Xu. "Research on optimization of index system design and its inspection method." Marine Economics and Management 2, no. 1 (April 1, 2019): 1–28. http://dx.doi.org/10.1108/maem-10-2019-0010.
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Purpose To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The purpose of this paper is to provide theoretical guidance and reference standards for the indicator system design process, laying a solid foundation for the application of the indicator system, by systematically exploring the expert evaluation method to optimize the index system to enhance its credibility and reliability, to improve its resolution and accuracy and reduce its objectivity and randomness. Design/methodology/approach The paper is based on system theory and statistics, and it designs the main line of “relevant theoretical analysis – identification of indicators – expert assignment and quality inspection” to achieve the design and optimization of the indicator system. First, the theoretical basis analysis, relevant factor analysis and physical process description are used to clarify the comprehensive evaluation problem and the correlation mechanism. Second, the system structure analysis, hierarchical decomposition and indicator set identification are used to complete the initial establishment of the indicator system. Third, based on expert assignment method, such as Delphi assignments, statistical analysis, t-test and non-parametric test are used to complete the expert assignment quality diagnosis of a single index, the reliability and validity test is used to perform single-index assignment correction and consistency test is used for KENDALL coordination coefficient and F-test multi-indicator expert assignment quality diagnosis. Findings Compared with the traditional index system construction method, the optimization process used in the study standardizes the process of index establishment, reduces subjectivity and randomness, and enhances objectivity and scientificity. Originality/value The innovation point and value of the paper are embodied in three aspects. First, the system design process of the combined indicator system, the multi-dimensional index screening and system optimization are carried out to ensure that the index system is scientific, reasonable and comprehensive. Second, the experts’ background is comprehensively evaluated. The objectivity and reliability of experts’ assignment are analyzed and improved on the basis of traditional methods. Third, aim at the quality of expert assignment, conduct t-test, non-parametric test of single index, and multi-optimal test of coordination and importance of multiple indicators, enhance experts the practicality of assignment and ensures the quality of expert assignment.
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Smugala, S., and D. Kubečková. "Construction Process Duration Predicted by Statistical Method." IOP Conference Series: Materials Science and Engineering 1203, no. 3 (November 1, 2021): 032135. http://dx.doi.org/10.1088/1757-899x/1203/3/032135.
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Abstract Many construction projects today are planned and managed using computer technology. An integral part of the management of these projects is sophisticated software, which includes statistical probabilistic methods. The main task in this area is direct verification of the validity of planned labour productivity values during the construction process according to the recorded average performance values. Using selected statistical methods and analyses, a case study can document this type of undertaking, for example, in a selected masonry process in which the upper and lower limits of performance, i.e. the optimistic and pessimistic bounds, may be calculated with 95% probability. Evaluation of these performance parameters in the construction software used for this study showed a difference in time of 11 days at the end of the process. The figures indicated a 9.6% and 14.3% decrease in labour productivity, respectively, for the optimistic and pessimistic values compared to the construction software ’ s planned values. Repeated evaluation of performance can aid in improving labour productivity and attaining project milestones and subsequent construction deadlines during the construction process. This paper aims to confirm or refute this theoretical balance using probabilistic statistical methods and to emphasize the importance of statistical analysis in the real construction process with the use of the software.
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Karmanov, Mikhail Vladimirovich, Irina Petrovna Gladilina, Anatoly Vladimirovich Zavrazhin, Irina Vladimirovna Shubina, and Svetlana Aleksandrovna Sergeeva. "The complexities of statistical measurements of new social processes: a system of Downshifting indicators." Nexo Revista Científica 34, no. 01 (April 14, 2021): 363–69. http://dx.doi.org/10.5377/nexo.v34i01.11313.
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In the 21st century, new social processes that used to be considered illogical, unusual, and even impossible in the recent past are becoming increasingly widespread. Downshifting implying deliberate rejection of the benefits of modern civilization should undoubtedly be viewed as one of such processes. In various countries and corners of the planet, the scale of the development of downshifting has now acquired such a great magnitude that acting like nothing is happening would be both impossible and wrong. Meanwhile, an unequivocal perception of downshifting as an exclusively favorable or unfavorable process has not yet formed in society. In this context, attempts at measuring and statistically evaluating the various parameters of downshifting draw great interest from the point of science and practice. However, it has to be admitted that statistical science somewhat lags behind the present demands and needs of society since the system of downshifting indicators providing its comprehensive characteristic and allowing for a relatively clear answer to the question of the actual role of such an unusual social process has not yet been developed. In this context, the present article examines the specific characteristics of the quantitative analysis of downshifting, analyses various approaches to creating a downshifting statistics indicator system, and presents the authors’ propositions considering the structure and components of the system of downshifting indicators allowing not only comprehensively demonstrating the scale, structure, distribution, and intensity of this process, but also addressing its socio-economic results and consequences.
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SAINI, PARMESH K., HARRY M. MARKS, MOSHE S. DREYFUSS, PETER EVANS, L. VICTOR COOK, and UDAY DESSAI. "Indicator Organisms in Meat and Poultry Slaughter Operations: Their Potential Use in Process Control and the Role of Emerging Technologies." Journal of Food Protection 74, no. 8 (August 1, 2011): 1387–94. http://dx.doi.org/10.4315/0362-028x.jfp-10-433.
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Measuring commonly occurring, nonpathogenic organisms on poultry products may be used for designing statistical process control systems that could result in reductions of pathogen levels. The extent of pathogen level reduction that could be obtained from actions resulting from monitoring these measurements over time depends upon the degree of understanding cause-effect relationships between processing variables, selected output variables, and pathogens. For such measurements to be effective for controlling or improving processing to some capability level within the statistical process control context, sufficiently frequent measurements would be needed to help identify processing deficiencies. Ultimately the correct balance of sampling and resources is determined by those characteristics of deficient processing that are important to identify. We recommend strategies that emphasize flexibility, depending upon sampling objectives. Coupling the measurement of levels of indicator organisms with practical emerging technologies and suitable on-site platforms that decrease the time between sample collections and interpreting results would enhance monitoring process control.
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KICHIGIN, Viktor I., and Elizaveta D. CHERNYAGINA. "THE ZETA-POTENTIAL AS A UNIVERSAL TECHNOLOGICAL INDICATOR OF WATER QUALITY." Urban construction and architecture 7, no. 4 (December 15, 2017): 44–53. http://dx.doi.org/10.17673/vestnik.2017.04.8.
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Were identifi ed based on the changes in ζ-potential from physical and chemical indicators of source and waste waters. It is established that in the process of washing vehicles changed signifi cantly such water quality parameters as its color, turbidity and alkalinity. Change the values of other indicators were within the statistical errors. It is proved that the increase of colour of water (and, probably, its turbidity) the range of values of the zeta-potential (ζ-potential) has narrowed. In the waste water compared to the original, the range of alkalinity values was much wider, but with a smaller range of changes in ζ-potential.
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Hryhorenko, Igor, Elena Tverytnykova, Svetlana Hryhorenko, and Yulia Demidova. "The usage of statistical analysis methods for controlling the operational stability of gas treatment facility." Ukrainian Metrological Journal, no. 1 (March 31, 2021): 26–32. http://dx.doi.org/10.24027/2306-7039.1.2021.228224.
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The paper considers the solutions to the scientific and practical task of improving the accuracy and reliability of natural gas consumption by conducting a statistical analysis of the results of gas pressure measurements in the pipeline, obtained from three pressure sensors during 12 hours. The importance of this task is underlined by the fact that the confidence interval for RMS errors is usually very wide. Testing of the hypothesis of the instability absence in the process of measuring gas pressure is carried out using a single factor dispersion analysis (the equation of the median values), a linear regression analysis (no influence of time on the value of the indicator for each voter) and a covariance analysis (no difference in the functional influence of the time on the number of an indicator). Three series of the measurement results of X control indicator (gas pressure in the pipeline) have been used. The analysis has confirmed the hypothesis that there are no disruptions to the stability of the gas pressure measurement process, which makes the pressure sensors metrologically reliable. It has been proved that the scientific and applied problems of increasing the reliability of objects control and diagnostics with stochastic parameters and improving their metrological reliability are relevant and important for the development of the theory and practice of non-destructive control and functional diagnostics of objects.
Keywords: gas equipment; metrological reliability; statistical evaluation.
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Sobolenko, Oleksandr, Petro Drozhzha, Nataliia Dorosh, and Lina Petrechuk. "ACCURACY WALL SICKNESS OF HOT-DEFORMED PIPES STATISTICAL ANALISIS." Modern Problems of Metalurgy, no. 23 (March 27, 2020): 113–20. http://dx.doi.org/10.34185/1991-7848.2020.01.11.
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Pipe-rolling units with an automatic mill are a aggregate production complex that produces hot-rolled pipes of various sizes. The technological process of seamless pipes production, has many stages: flashing the billet into a sleeve, longitudinal rolling in gauge, running in a oblique rolling mill, calibrating and reducing the diameter. Each stage significantly affects the accuracy of the geometric dimensions of the pipes. One of the main parameters characterizing the accuracy of the pipes is their transverse difference namely the size and the nature of the distribution of the pipe wall thickness in the cross section. A significant reserve for saving metal is increasing the accuracy of seamless pipes to avoid different pipe wall thickness. Different pipe wall thickness makes it difficult to get quality pipe screw-thread.The conditions of metal deformation at an injection molding machine with an automatic machine do not exclude the presence of fluctuation of the pipe wall thickness. The best characteristic of the accuracy of finished pipes will be the knowledge of quantitative indicators of the transverse difference of their end sections. The purpose of this work is to determine the variation in wall thickness of hot-rolled casing by means of mathematical statistics methods.The use of statistical data processing methods makes it possible to predict the seamless pipe difference indicator. A statistical analysis of the wall thickness indicator of the end sections showed a high ratio of wall thickness symmetry. An effective way to minimize the symmetric difference component is to optimize the deformation modes along the pipe wall. In this case, a graphical analysis of the distribution of wall thickness showed that the actual difference varies in stochastic dependence. To clarify the general form of the random periodic component of such a dependence, it is advisable to apply methods of harmonic analysis, which will allow us to develop a mathematical model for determining the accuracy of pipes.
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ATTRAH, Sami Gheni Khudhair. "MULTIPLE LINEAR REGRESSION AND IT,S STATISTICAL INDICATORS BY USING STATISTICAL PROGRAM SPSS." International Journal of Humanities and Educational Research 03, no. 03 (June 1, 2021): 119–33. http://dx.doi.org/10.47832/2757-5403.3-3.12.
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Multiple Linear Regression is defined as process of estimating the linear realation among several variables, one of them is the dependent variable(y)and the others are the independent variables )xi)that is estimating the rate of change in the dependent variable with respect to the change in the independent variables and this enables prediction the value of dependent variable. To apply the Multiple Linear Regression(which one of most applicable tools in statistical analysis)several assumptions and conditions must be met in data under study and in relations resulted from applying this method this is well-explained in this article..
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Cao, Hongrui, Yiting Yue, Xuefeng Chen, and Xingwu Zhang. "Chatter detection based on synchrosqueezing transform and statistical indicators in milling process." International Journal of Advanced Manufacturing Technology 95, no. 1-4 (November 7, 2017): 961–72. http://dx.doi.org/10.1007/s00170-017-1283-0.
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Sipos, Anca. "Sustainable Method Using Filtering Techniques for a Fermentation Process State Estimation." Sustainability 12, no. 17 (August 31, 2020): 7105. http://dx.doi.org/10.3390/su12177105.
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Winemaking is concerned about sustainable energy availability that implies new methods for process monitoring and control. The aim of this paper is to realize a comparative analysis of the possibilities offered using estimation techniques, balances, and filtering techniques such as the Kalman filter (KF) and the extended Kalman filter (EKF), to obtain indirect information about the alcoholic fermentation process during winemaking. Thus, an estimation solution of the process variables in the exponential growing phase is proposed, using an extended observer. In addition, two estimation solutions of this process with the EKF and an estimation of the decay phase of the fermentation process are presented. The difference between the two EKF variants consisted of taking into consideration the indicator of the integral of the error norm square for the second EKF, for which the performance criterion was the statistical average of this indicator. Results from the simulation of the estimation programs of the two EKF variants were more than satisfactory. This research provides a basis for using an EKF designed for advanced control of the alcoholic fermentation batch process as a knowledge-based system.
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Mohd Hamzah, Mohd Izham, Nurul Sahadila Abd Rani, and Mohd Effendi Ewan Mohd Matore. "Change Management Indicators and Their Applications in Strengthening the Process and Learning Organization Levels." Sustainability 13, no. 24 (December 18, 2021): 13988. http://dx.doi.org/10.3390/su132413988.
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(1) Background: This study is aimed at determining the strengthening process level, the learning organization level, and the indicator of change level among District Education Offices (PPDs’). This study aims to investigate the perceptions of the Head of District Education Officers and their use of change indicators in enhancing District Education Offices and their learning organization practices. (2) Methods: By using a mixed-method approach through an explanatory sequential design, a survey was conducted and 93 Head of District Education Officers throughout Malaysia were selected using the survey method through questionnaire. To identify the respondents, the study employed group sampling and strata random sampling techniques and the data analysis was conducted using the Statistical Packages for Social Sciences software. Then, the qualitative study involved five Head of District Education Officers and two Program Managers who were chosen through purposive and snowball sampling. Through semi-structured interviews, data were then collected, and themes were formulated and analyzed using Nvivo 11. (3) Results: The results of the descriptive analysis show that the strengthening process level, the learning organization level, and the change indicator level in the District Education Office, are all high. Thus, the research findings illuminate six theme of change indicators, i.e., namely, Head of District Education Officers Roles and Responsibilities, Program Manager Roles and Responsibilities, School Improvement Partner+ (SIP+) Roles and Responsibilities and School Improvement Specialist Coaches+ (SISC+) Roles and Responsibilities, Performance Dialogue, Provision Management, Key Performance Indicators (KPI), Dashboard and PPD Excellence Rating. (4) Conclusions: This study offers insights into how the PPDs’ can utilize, as a reference for monitoring, the implemented changes in the District Transformation Program, to see if they are on the right track, and also as treatment to deal with any conflicts or issues in the transformational programme.
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Shevchenko, A. V. "Statistical Method for Assessing the Cost-effectiveness of the Property Insurance Program." Issues of Risk Analysis 17, no. 5 (October 30, 2020): 72–79. http://dx.doi.org/10.32686/1812-5220-2020-17-5-72-79.
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The property insurance program developed by the insured determines the main requirements to the conditions, features of the conclusion, execution and termination of the concluded property insurance contracts. When it is implemented for a number of years, when there is a periodic renewal of insurance contracts on standard conditions, the insured has the need to assess the economic effectiveness of such insurance protection, preferably using quantitative indicators. Existing methods of estimating the cost-effectiveness of property insurance programs do not sufficiently take into account the stochastic nature of the insurance process and, in particular, that the resulting losses are subject to extreme type distribution laws studied within the framework of the asymptotic theory of extreme values probabilities. Therefore, for example, it is difficult to adequately assess the economic effectiveness of the property insurance program in a rather frequent situation where the total costs of the insured for paying insurance premiums exceed the total insurance compensation. The proposed statistical method of estimating the economic effectiveness of the property insurance program is based on extreme type distribution functions determined by statistical data, characterizing the claimed losses and insurance compensation paid. The cost effectiveness assessment is carried out using the cost-effectiveness indicator of the property insurance program, which is calculated according to two parameters: the expected share of insurance payments (insurance indemnities) and the premium efficiency coefficient. The expected share of insurance payments is determined by the ratio of mathematical expectations of distribution functions, which characterize the claimed losses and insurance compensation paid. The premium efficiency ratio is the ratio of the gross premium total for the property insurance program, calculated using the function of distributing the claimed losses, and the total amount of premiums paid for the entire period of the property insurance program. Adding up the values of the expected share of insurance payments (insurance indemnities) and the premium efficiency factor taking into account their weights, the value of the economic efficiency indicator of the property insurance program is obtained. The formation of a conclusion on the economic effectiveness of the property insurance program is carried out on the basis of the value of the economic efficiency indicator of the property insurance program according to the proposed scale.
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Amin, Mohd N. F. M., and N. Kaprawi. "Content Learning Indicator in Equivalence Checking between Skills Module and Academic Module for APEL Process." International Journal of Emerging Technologies in Learning (iJET) 14, no. 20 (October 18, 2019): 58. http://dx.doi.org/10.3991/ijet.v14i20.11459.
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Accreditation of Prior Experiential Learning (APEL) is an accreditation system involving assessment of a person's recognition of experience through formal, informal and non-formal learning. Generally, APEL pro-vides opportunity for individuals to gain access to higher learning institu-tions and gain credits in learning based on experience gained through equivalence checking. Therefore, this study aimed at obtaining feed-back/input on items for nine (9) content learning indicator domains that will be used for the determination of learning content in assessing the equivalence checking between the skills module and the academic module for the APEL process. The nine (9) domains are knowledge (current) in the field; practical skills; social skills & accountability; values, attitudes & professionalism; communication skills, leadership & teamwork; problem solving skills & scientific skills; management skills, entrepreneurship & innovation; information management & lifelong learning; and interdisci-plines. This study uses a quantitative approach which uses questionnaire to get feedback from respondents. A total of 32 respondents comprising lec-turers from seven (7) faculties of Universiti Tun Hussein Onn Malaysia. The data are analysed using Statistical Packages for Social Science 23.0 (SPSS 23.0). The finding of this study found that all the items in the Con-tent Learning Indicator in equivalence checking between skills module and academic module of the APEL process are very appropriate. Improvements are made such as feedback and recommendations provided by respondents.
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Eslami, S., N. de Keizer, E. de Jonge, S. E. de Rooij, A. Abu-Hanna, and L. Minne. "Statistical Process Control for Monitoring Standardized Mortality Ratios of a Classification Tree Model." Methods of Information in Medicine 51, no. 04 (2012): 353–58. http://dx.doi.org/10.3414/me11-02-0044.
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SummaryObjectives: The ratio of observed to expected mortality (standardized mortality ratio, SMR), is a key indicator of quality of care. We use PreControl Charts to investigate SMR behavior over time of an existing tree-model for predicting mortality in intensive care units (ICUs) and its implications for hospital ranking. We compare the results to those of a logistic regression model.Methods: We calculated SMRs of 30 equally-sized consecutive subsets from a total of 12,143 ICU patients aged 80 years or older and plotted them on a PreControl Chart. We calculated individual hospital SMRs in 2009, with and without repeated recalibration of the models on earlier data.Results: The overall SMR of the tree-model was stable over time, in contrast to logistic regression. Both models were stable after repeated recalibration. The overall SMR of the tree on the whole validation set was statistically significantly different (SMR 1.00 ± 0.012 vs. 0.94 ± 0.01) and worse in performance than the logistic regression model (AUC 0.76 ± 0.005 vs. 0.79 ± 0.004; Brier score 0.17 ± 0.012 vs. 0.16 ± 0.010). The individual SMRs’ range in 2009 was 0.53–1.31 for the tree and 0.64–1.27 for logistic regression. The proportion of individual hospitals with SMR >1, hinting at poor quality of care, reduced from 38% to 29% after recalibration for the tree, and increased from 15% to 35% for logistic regression.Conclusions: Although the tree-model has seemingly a longer shelf life than the logistic regression model, its SMR may be less useful for quality of care assessment as it insufficiently responds to changes in the population over time.
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Ivanov, Nikolai I., Tatiana V. Shevchenko, and Vladimir S. Gorbunov. "Statistical analysis of current development of agriculture in Russian regions." RUDN Journal of Agronomy and Animal Industries 14, no. 4 (December 15, 2019): 520–58. http://dx.doi.org/10.22363/2312-797x-2019-14-4-520-558.
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Regional social and economic development is characterized by presence of wide imbalances in structure of industry specialization, which are largely due to spatial development of individual territories. As part of a statistical study of agro-industrial complex development in regions of Russia, uneven agricultural development of certain territories, their involvement, as well as degree of participation in single national economic complex of the country are reflected. At the level of statistical significance, two of the region’s most important in terms of accumulated agro-industrial potential are identified - Krasnodar Territory and Rostov Region. Based on the account of a wide range of socio-economic indicators, the subjects of the Russian Federation were ranked by integral indicator of development of agricultural sector and by urbanization level. The regions dominating for certain types of agricultural indicators were identified and their general dynamics over a long period of statistical observations were reflected. In the process of the research, a general conclusion is made step by step about development opportunities of agro-industrial complex in the regions in strategy for sustainable development of rural territories not only at the territorial level, but, more significantly, at the federal and local levels. In order to develop rural territories, among other things, it is necessary to create imperative social conditions that will preserve existing national economic potential and ensure fulfillment of not only production, but also demographic, cultural, historical and laborfunction in the village.
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Voltarelli, Murilo A., Rouverson P. da Silva, Cristiano Zerbato, Carla S. S. Paixão, and Tiago de O. Tavares. "Monitoring of mechanical sugarcane harvesting through control charts." Engenharia Agrícola 35, no. 6 (December 2015): 1079–92. http://dx.doi.org/10.1590/1809-4430-eng.agric.v35n6p1079-1092/2015.
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ABSTRACT Statistical process control in mechanized farming is a new way to assess operation quality. In this sense, we aimed to compare three statistical process control tools applied to losses in sugarcane mechanical harvesting to determine the best control chart template for this quality indicator. Losses were daily monitored in farms located within Triângulo Mineiro region, in Minas Gerais state, Brazil. They were carried over a period of 70 days in the 2014 harvest. At the end of the evaluation period, 194 samples were collected in total for each type of loss. The control charts used were individual values chart, moving average and exponentially weighted moving average. The quality indicators assessed during sugarcane harvest were the following loss types: full grinding wheel, stumps, fixed piece, whole cane, chips, loose piece and total losses. The control chart of individual values is the best option for monitoring losses in sugarcane mechanical harvesting, as it is of easier result interpretation, in comparison to the others.
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DOHTIEVA, Iryna, and Anatoii SHYIAN. "SIMULATION OF THE WORK OF THE INFORMATION SECURITY INCIDENT RESPONSE TEAM DURING CYBERATTACKS." Herald of Khmelnytskyi National University 303, no. 6 (December 2021): 115–23. http://dx.doi.org/10.31891/2307-5732-2021-303-6-115-123.
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The aim of the work is statistical analysis of the results of simulation modeling of the information security incident response team (ISIRT) depending on the parameter of increasing the intensity of the flow of information security incidents. ISIRT is considered as a queuing system in conditions of increasing load intensity. As input parameters for simulation the intensity of receipt of applications, characteristics of increase of intensity, characteristics of service of applications of ISIRT are used. The developed computer program sets random values of these parameters, distributed according to the indicator law. For each set of values, a set of stationary values is calculated, which characterizes the efficiency of ISIRT, as selected probabilities of operating modes and expectations. The program performs statistical analysis of the obtained values. As a result of the simulation, quantitative values were obtained both for the average values and for the indicators of variability of characteristics that describe the effectiveness of ISIRT. The simulation showed the ability to predict the statistical patterns of cyber-attacks on the effectiveness of ISIRT. Tracking the statistical characteristics of incidents in the process of deploying the current cyber-attack, it is possible in the process of cyber defense to replace one ISIRT with another, the statistical characteristics of which will provide the required level of protection. To implement this approach, the developed software can be used.
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Guo, De Dong. "Application of Pavement Quality Indicator in the Construction Quality Instant Control of Asphalt Pavement." Applied Mechanics and Materials 333-335 (July 2013): 1691–94. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1691.
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Firstly, basing statistical results pavement quality indicator (PQI) calibration value of asphalt pavement with different aggregate types and nominal maximum aggregate sizes, the importance degree of the influence of the two factors on PQI calibration value was obtained by using the statistical software of SPSS. Then, PQI was used to detect the compaction of asphalt pavement and the detecting results of loose laying density, loose laying thickness and compaction density of asphalt mixture were used to calculate the thickness of asphalt pavement. All results above were compared and analyzed with the detect results of cores. Finally, the construction quality process control method of asphalt pavement was described. Results show that the aggregate type and material quality is the important factor to the PQI calibration value; the density of asphalt pavement detected by PQI and the thickness calculated have fine correlation with the detecting results of cores, those detecting results are dependable; The construction quality instant control of asphalt pavement could be achieved by detecting the loose laying density and thickness of asphalt mixtures.
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Knop, Krzysztof. "Statistical control of the production process of rolled products." Production Engineering Archives 20, no. 20 (September 1, 2018): 26–31. http://dx.doi.org/10.30657/pea.2018.20.06.
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Abstract The article presents the results of the use of SPC tools, i.e. control charts and indicators of the qualitative capability to assess the stability and capability of the production process of rolled products - I-sections. Statistical analysis of the collected data regarding the selected feature of the analysed product - the width of the foot, and the normality of the distribution were done, which showed that the obtained distribution of measurement results is not a normal distribution. As a result, appropriate SPC procedures for non-normal distribution were used. The Pareto-Lorenzo diagram and FMEA method were also used to obtain information about the structure of non-conformities of the analysed product and the level of risk associated with them. This information was used to propose corrective actions and improve the production process of rolled products.
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Račić, Željko V. "Process of ranking countries by level of development." Croatian Review of Economic, Business and Social Statistics 4, no. 1 (June 1, 2018): 53–61. http://dx.doi.org/10.2478/crebss-2018-0005.
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Abstract The paper presents the process of ranking and classifying countries using the I-distance method. The I-distance method is a method of classification and multidimensional ranking based on the distance values between selected indicators. The selection of indicators was carried out using the principal components analysis, whereby the statistical software SPSS (Statistical Package for Social Sciences), the latest version 21th PASW Statistics, is used. The application of the I-distance determines the relative efficiency indicators. Classification and ranking are conducted based on the economic development using macroeconomic indicators for the selected European countries.
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Klyachkin, Vladimir N., and Anastasiya V. Alekseeva. "OPTIMIZATION OF PARAMETERS OF GENERALIZED DISPERSION ALGORITHM AT STATISTICAL PROCESS CONTROL." Автоматизация процессов управления 3, no. 65 (2021): 41–47. http://dx.doi.org/10.35752/1991-2927-2021-3-65-41-47.
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When monitoring a real production process using statistical methods, the question of early detection of violations arises. In most cases, several indicators are monitored simultaneously in the production process, and a change in the values of some indicators leads to a change in others. If there is a dependence of indicators for their monitoring, multivariate statistical control tools are used, in particular generalized variance chart. By varying the parameters of the chart, its efficiency can be significantly increased, this allows minimizing the time the process is in an unstable state.Applying the approach of A. Duncan, which he developed for Shewhart charts, a formula for the expectation of the duration of an unstable state of a process was obtained and a Python program was developed to minimize it. To test the set optimization problem, the calculation of the data of two process indicators is given and the optimal parameters of the generalized variance chart are obtained, at which the duration of the process in an unstable state is minimal.
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Levanova, E. Yu, N. L. Danilova, and A. S. Khusainova. "METHODS AND SEQUENCE OF ECONOMIC AND STATISTICAL ANALYSIS CONDUCTING OF THE FINANCIAL STABILITY OF AN ECONOMIC ENTITY." Vestnik of the Russian University of Cooperation, no. 3(45) (October 10, 2021): 24–29. http://dx.doi.org/10.52623/2227-4383-3-45-5.
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Financial stability, on the one hand, is a criterion of the financial position of the organization at the moment, and on the other hand, it allows you to assess the prospects for business development, its stability in the future. It is also the main indicator of the effectiveness of financial and economic activities, the implementation of management decisions. The sequence of economic and statistical analysis of financial stability should be built in such a way that users can get an objective impression of the prospects for the development of the organization, take measures to strengthen financial stability, adjust its level, assess the risks of investing in the enterprise and its lending.
The article considers and summarizes the methods and approaches used in the process of conducting an economic and statistical analysis of the stability of the financial situation of an economic entity. The sequence of the analysis of financial stability indicators is given, their interrelation and the effectiveness of economic and statistical analysis are revealed.
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De Villena, Juan F., David A. Vargas, Rossy Bueno López, Daniela R. Chávez-Velado, Diego E. Casas, Reagan L. Jiménez, and Marcos X. Sanchez-Plata. "Bio-Mapping Indicators and Pathogen Loads in a Commercial Broiler Processing Facility Operating with High and Low Antimicrobial Intervention Levels." Foods 11, no. 6 (March 8, 2022): 775. http://dx.doi.org/10.3390/foods11060775.
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The poultry industry in the United States has traditionally implemented non-chemical and chemical interventions against Salmonella spp. and Campylobacter spp. on the basis of experience and word-of-mouth information shared among poultry processors. The effects of individual interventions have been assessed with microbiological testing methods for Salmonella spp. and Campylobacter spp. prevalence as well as quantification of indicator organisms, such as aerobic plate counts (APC), to demonstrate efficacy. The current study evaluated the loads of both indicators and pathogens in a commercial chicken processing facility, comparing the “normal chemical”, with all chemical interventions turned-on, at typical chemical concentrations set by the processing plant versus low-chemical process (“reduced chemical”), where all interventions were turned off or reduced to the minimum concentrations considered in the facility’s HACCP system. Enumeration and prevalence of Salmonella spp. and Campylobacter spp. as well as indicator organisms (APC and Enterobacteriaceae—EB) enumeration were evaluated to compare both treatments throughout a 25-month sampling period. Ten locations were selected in the current bio-mapping study, including live receiving, rehanger, post eviscerator, post cropper, post neck breaker, post IOBW #1, post IOBW #2, prechilling, post chilling, and parts (wings). Statistical process control parameters for each location and processing schemes were developed for each pathogen and indicator evaluated. Despite demonstrating significant statistical differences between the normal and naked processes in Salmonella spp. counts (“normal” significantly lower counts than the “reduced” at each location except for post-eviscerator and post-cropper locations), the prevalence of Salmonella spp. after chilling is comparable on both treatments (~10%), whereas for Campylobacter spp. counts, only at the parts’ location was there significant statistical difference between the “normal chemical” and the “reduced chemical”. Therefore, not all chemical intervention locations show an overall impact on Salmonella spp. or Campylobacter spp., and certain interventions can be turned off to achieve the same or better microbial performance if strategic intervention locations are enhanced.
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Iovlev, G. A., A. G. Nesgovorov, and I. I. Goldina. "Operation Research and Formation of the Harvesting Transport Complex of the Grain Harvesters of Foreign Production." Agricultural Machinery and Technologies 14, no. 4 (December 18, 2020): 49–56. http://dx.doi.org/10.22314/2073-7599-2020-14-4-49-56.
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The authors showed that the main condition for assessing the harvesting transport complex is to reduce costs during harvesting and transportation of grain crops.(Research purpose) To assess the technical and economic indicators and operational properties of foreign grain harvesters and their impact on the productivity of the entire harvesting transport complex. Based on the statistical data obtained during the information collection, to calculate the indicators that aff ect the harvesting transport complex management.(Materials and methods) The authors used statistical materials on the combine harvesters operation, transport vehicles for transportation. They took studied combine harvesters and vehicles technical characteristics. They considered the elements of the theory of probability for the formation of the harvesting transport complex. The studies were carried out simultaneously in two structural divisions of an agricultural organization, located at a distance of 19-20 kilometers from each other. Economic and statistical, forecasting, economic and mathematical modeling, expert assessments and others methods were used.(Results and discussion) The authors received 89 values for the indicator "Time to fi ll the combine harvester bunker", 45 – according to the criterion "Waiting time for vehicle loading". They calculated the mathematical expectation of the fi rst indicator: in the fi rst harvesting team for the Tucano 450 – 22.68 minutes; Mega 370 – 20.74 minutes; for a Tucano 450 from the second harvesting team – 19.24 minutes.(Conclusions) The authors revealed the features of harvesting transport complexes formation, consisting of foreign combine harvesters and vehicles. They determined the productivity, quality indicators of the technological process of threshing grain crops and yield, at which the use of foreign combine harvesters became economically feasible.
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Findik, Derya, and Berna Beyhan. "A Perceptual Measure of Innovation Performance: Firm-Level Evidence from Turkey." International Journal of Innovation and Technology Management 14, no. 06 (November 9, 2017): 1750038. http://dx.doi.org/10.1142/s0219877017500389.
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This paper aims to introduce a qualitative indicator to measure innovation performance of Turkish firms by using firm-level data collected by Turkish Statistical Institute (TURKSTAT) in 2008 and 2009. We propose a new indicator to measure the innovation performance which is simply based on the perception of firms regarding to the impacts of innovation. In order to create performance indicators, we conduct a factor analysis to group the firms’ perceptions on the impacts of innovation. Factor analysis gives us product and process-oriented impacts of innovation. There are significant differences among product innovators, process innovators and firms engaged in both product and process innovations with respect to their perceptions on product and process-oriented impacts of innovation. Among these three groups, product- and process-oriented impacts provide a highest value for the firms that perform both product and process innovations. As far as the link between firm characteristics and the impact of innovation is considered, there is a significant difference between small and large firms with respect to their perceptions on product-oriented impact of innovation. While product-oriented impact is larger for small firms, large firms focus more on process-oriented impact. Anova results also indicate that perceptions on process-oriented impact significantly differ among exporter firms, domestic market-oriented firms and firms being active in internal and external markets. Process-oriented impact generates results in favor of exporting firms.
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Lagasse, Robert S., Ellen S. Steinberg, Robert I. Katz, and Albert J. Saubermann. "Defining Quality of Perioperative Care by Statistical Process Control of Adverse Outcomes." Anesthesiology 82, no. 5 (May 1, 1995): 1181–88. http://dx.doi.org/10.1097/00000542-199505000-00013.
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Background Through peer review, we separated the contributions of system error and human (anesthesiologist) error to adverse perioperative outcomes. In addition, we monitored the quality of our perioperative care by statistically defining a predictable rate of adverse outcome dependent on the system in which practice occurs and respondent to any special causes for variation. Methods Traditional methods of identifying human errors using peer review were expanded to allow identification of system errors in cases involving one or more of the anesthesia clinical indicators recommended in 1992 by the Joint Commission on Accreditation of Healthcare Organizations. Outcome data also were subjected to statistical process control analysis, an industrial method that uses control charts to monitor product quality and variation. Results Of 13,389 anesthetics, 110 involved one or more clinical indicators of the Joint Commission on Accreditation of Healthcare Organizations. Peer review revealed that 6 of 110 cases involved two separate errors. Of these 116 errors, 9 (7.8%) were human errors and 107 (92.2%) were system errors. Attribute control charts demonstrated all indicators, excepting one (fulminant pulmonary edema), to be in statistical control. Conclusions The major determinant of our patient care quality is the system through which services are delivered and not the individual anesthesia care provider. Outcome of anesthesia services and perioperative care is in statistical control and therefore stable. A stable system has a measurable, communicable capability that allows description and prediction of the quality of care we provide on a monthly basis.
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Wang, Xiaoxuan, Jingjing Wang, Ying Zhang, and Yixing Du. "Analysis of Local Macroeconomic Early-Warning Model Based on Competitive Neural Network." Journal of Mathematics 2022 (February 11, 2022): 1–9. http://dx.doi.org/10.1155/2022/7880652.
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At present, the commonly used index selection methods for macroeconomic early-warning research include K-L information volume, time difference correlation analysis, and horse farm methods. These traditional statistical methods cannot cope with the continuous changes of economic indicators, and due to the existence of statistical errors, these methods are difficult to perform. Therefore, this paper proposes to use a self-organizing competitive neural network to select early warning indicators. Its self-learning and adaptive characteristics and fault tolerance overcome the limitations of the above statistical methods. This article proposes a method of selecting macroeconomic early-warning indicators using self-organizing competitive neural networks and designs a macroeconomic nonlinear early warning model of self-organizing competitive neural networks; using fuzzy logic reasoning to introduce economic experts’ experience into macroeconomic early warning analysis, the system has the ability to deal with nonlinear and uncertain problems and realizes the intelligence of the early-warning process, uses the national macroeconomic indicator data from January 1997 to March 2008 for empirical analysis, and compares the self-organizing competitive neural network method with the traditional KL information method. From the experimental results, compared with the KL information method, the self-organizing competitive neural network method selects more comprehensive indicators and has greater advantages in seismic resistance and stability.
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Golubev, Denis, and Iuliia Shchedrina. "FORESIGHT OF THE FUNCTIONAL STATUS OF YOUNG FOOTBALL PLAYERS AT VARIOUS STAGES OF SPORT TRAINING." SCIENCE AND SPORT: current trends 8, no. 1 (March 1, 2020): 54–61. http://dx.doi.org/10.36028/2308-8826-2020-8-1-54-61.
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The aim of the research is to identify the interconnection of "functional status, %" and "expert assessment executed by the therapist, c. u.” indicators during the annual cycle of sport training in young professional football players aged 12-17. Materials and methods of the research. In our research, we used the OMEGA-SPORT Stationary Hardware Complex ("Dynamics", St. Petersburg, Russia). 5 experts in sport medicine carried out regular assessment in order to determine the health status of athletes. Research results and discussion. Study of age dynamics of the "functional status, %" and "expert assessment executed by the therapist, c. u." indicators revealed intergroup differences (in players aged 12-13, 14-15 and 16-17). These differences occur as a result of both age specificity and features of training process in the annual training cycle. We revealed the following general group regularity (for young players aged 12-17) –"functional status, %" indicator decrease is followed by more frequent visits to the therapist ("expert assessment executed by the therapist, c. u." indicator growth). We revealed dramatic decline of the "functional status, %" indicator. This decline occurs as a result of the stress experienced by the heart rhythm regulation system. Consequently, we can consider this indicator as a predictor of the deterioration of health status. Conclusion. We propose to use the "functional status, %" indicator based on the analysis of statistical and spectral parameters of heart rate variability and the "expert assessment executed by the therapist, c. u." indicator for the control and correction of training effects for football players aged 12-17.
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Kislyakov, Alexey. "BOOTSTRAP REGRESSION BASED ON THE MAXIMUM ENTROPY IN FORECASTING SOCIO-ECONOMIC INDICATORS." Applied Mathematics and Control Sciences, no. 1 (April 14, 2021): 156–73. http://dx.doi.org/10.15593/2499-9873/2021.1.09.
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The work is devoted to the actual problem of creating predictive models and evaluating their adequacy based on bootstrap-the method of virtual expansion of statistical sampling. One of the modified bootstrap algorithms based on the entropy maximum is used as an approach for constructing probabilistic statements. The bootstrap method allows you to simulate a large number of random samples within the forecast interval based on the initial sample, represented as a time series of changes in a particular indicator, and evaluate the statistical characteristics of the indicator of interest. The main problem of time series forecasting using the bootstrap method is the need to preserve the dependence of the current indicator value on previous observations, as well as to take into account other factors that affect the process, i.e. the use of regression models. The maximum entropy bootstrap method allows you to generate samples for each indicator that satisfy the ergodicity theorem, while preserving the original form and time dependence of the autocorrelation and partial autocorrelation functions. The maximum entropy bootstrap algorithm is used for cases when the time series is short, non-stationary, with sharp changes in the values of variables and discontinuities. The paper provides an example of using the bootstrap method based on the maximum entropy in relation to the task of creating predictive models to assess their adequacy, which allow us to forecast the indicators of imports and exports of the Russian Federation in billions of us dollars. under the conditions of observing the ruble exchange rate against the us dollar, as well as the indicator of the cost of a barrel of oil on the world market. The results obtained allow us to conclude about the advantages of the considered approach to implementing bootstrap regression for creating predictive models.
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Moskal, Michał, Piotr Migas, and Mirosław Karbowniczek. "Multi-Parameter Characteristics of Electric Arc Furnace Melting." Materials 15, no. 4 (February 21, 2022): 1601. http://dx.doi.org/10.3390/ma15041601.
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The article presents the results of analyses of numerical modelling of selected factors in electric arc furnace melts. The aim of the study was to optimise the melting process in an electric arc furnace using statistical-thermodynamic modelling based on, among other things, multiple linear regression (MLR). The article presents tools and methods which make it possible to identify the most significant indicators of the process carried out on the analysed unit from the point of view of improvement. The article presents the characteristics of the process and creation of the MLR model and, by applying its numerical analyses and results of calculations and simulations for selected variables and indicator, identifying the operation of a selected furnace. Developed model to demand of electric energy identification was used for calculations of energy balances, the distribution of the energy used in the furnace was presented.