Intelligent management system of production and quality products for the small and medium business enterprises

• Autorzy: Utepbergenov I. , Kalimoldayev M. , Skliarova I. , Wójcik W. , Toibayeva S. , Muslimova A. , Issabekova L.

Identyfikatory

DOI

10.15199/48.2018.01.38

Warianty tytułu

PL

Inteligentny system zarządzania produkcją i jakością produktów dla małych i średnich przedsiębiorstw

• Języki publikacji: EN

Abstrakty

EN

The article presents a model of fuzzy quality control of a company. The practical relevance of the research consists in the potential use of the developed system as a universal tool to assess efficiency of food production process quality management and to develop a package of actions to increase efficiency of the quality management system. The developed model enables to forecast and manage quality parameters of the manufactured products.

PL

Artykuł przedstawia model rozmytej kontroli jakości firmy produkcyjnej. Praktyczne znaczenie badania polega na potencjalnym wykorzystaniu opracowanego systemu jako uniwersalnego narzędzia oceny efektywności zarządzania jakością procesu produkcji żywności oraz wypracowania działań mających na celu zwiększenie efektywności systemu zarządzania jakością. Opracowany model umożliwia prognozowanie i zarządzanie parametrami jakościowymi produkowanych wyrobów.

Słowa kluczowe

EN

QMS; model rules base; fuzzy inference algorithm; expert evaluation database; forecasting

PL

QMS; podstawa reguł modelu; algorytm wnioskowania rozmytego; baza danych oceny ekspertów; prognozowanie

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2018
• Tom: R. 94, nr 1
• Strony: 153--156
• Opis fizyczny: Bibliogr. 31 poz., rys., tab.

Twórcy

autor

Utepbergenov I.

• Institute of information and computational technologies of CS MES RK, Pushkin 125, 050010 Almaty, Kazakhstan

autor

Kalimoldayev M.

• Institute of Information and Computational Technologies of SC MES RK, Pushkin 125, 050010 Almaty, Kazakhstan
• al-Farabi Kazakh National University, 71 al-Farabi Ave., Almaty, Kazakhstan

autor

Skliarova I.

• Department of Electronics, Telecommunications and Informatics, University of Aveiro, 3810-193 Aveiro, Portugal

autor

Wójcik W.

• Lublin University of Technology, Institute of Electronics and Information Technology, Nadbystrzycka 38A, 20-618 Lublin, Poland

autor

Toibayeva S.

• Institute of Information and Computational Technologies of SC MES RK, Pushkin 125, 050010 Almaty, Kazakhstan
• al-Farabi Kazakh National University, 71 al-Farabi Ave., Almaty, Kazakhstan

autor

Muslimova A.

• Institute of Information and Computational Technologies of SC MES RK, Pushkin 125, 050010 Almaty, Kazakhstan
• al-Farabi Kazakh National University, 71 al-Farabi Ave., Almaty, Kazakhstan

autor

Issabekova L.

• Institute of Information and Computational Technologies of SC MES RK, Pushkin 125, 050010 Almaty, Kazakhstan
• al-Farabi Kazakh National University, 71 al-Farabi Ave., Almaty, Kazakhstan

Bibliografia

• [1] ISO 9001:2015 Quality management systems, https://www.iso.org/search/x/query/9001
• [2] Statistical indicators of social and economic development of the Republic of Kazakhstan and its regions, Statistical collection of Kazakhstan, (2010).
• [3] On approval of the State Program for Forced Industrial- Innovative Development for 2010-2014, Decree of the President of the Republic of Kazakhstan dated March 19, (2010) No. 958.
• [4] Grigoryan E. S., The process approach to quality management at industrial enterprises, Modern European Researches, (2017), No 2
• [5] Matata D. J., Wafula M. K., International Journal of Scientific and Research Publications, 5 (2015), Issue 5
• [6] Abu Saleh Md. Sohel-Uz-Zaman, U. Anjalin, Implementing Total Quality Management in Education: Compatibility and Challenges, Open Journal of Social Sciences, 4 (2016), 207- 217.
• [7] Viet Quan, Hoang, Quality Management: The importance of the collaboration between focal firm and first tier supplier, School of Technology Degree Programme in Logistics Engineering, (2017)
• [8] Neyestani B., Seven Basic Tools of Quality Control: An Appropriate Tools for Solving Quality Problems in the Organizations, https://mpra.ub.uni-muenchen.de/77681/, (2017).
• [9] Rathi N., Punjabi S., Jain M. L., Practical Application of Taguchi and Hybrid Taguchi Methods for Optimization of Processing Parameters of Manufacturing Process for Improved Part Quality: A Review, International Journal of Emerging Technology and Advanced Engineering, 6 (2016), Issue 7.
• [10] Taidi R., Cost of Poor quality: Quality management in Lean manufacturing and the effectiveness of the “Zero defects” goal”, Scientific Cooperations International Journal of Finance, Business, Economics, Marketting and Information Systems, 1(2015), Issue 1.
• [11] Dubois D., Prade H., Articles written on the occasion of the 50th anniversary of fuzzy set theory, (2015)
• [12] Sovetov B. Ya. Yakovlev S. A. Modeling systems: Textbook for universities, Moscow (2005).
• [13] Borovikov V.P., STATISTICA Neural Networks: The methodology and technology of modern data analysis. Мoscow (2008), (In Russian).
• [14] Shtovba S., Shtovba O. A., Fuzzy Rule-Based Prediction the Competitive Strength Index of Brand Product, Proc. of the First Polish and Intern. PD Forum–Confernece on Computer Science "Selected Problems of Computer Science" 11–14 April 2005, EXIT (2005), 208-216
• [15] Chernyi S. G., Intelligent control terrosystems under conditions of interval uncertainty, Metallurgical and Mining Industry, (2016), No.5.
• [16] Cross T., The Uses of Artificial Intelligence in Business, Knowledge Engineering, (2017)
• [17] Kalia A., Use of Neural Network in Data Mining, International Journal of Advanced Trends in Engineering, Science and Technology, 2 (2017), Issue.1
• [18] Rahman A., Alghannam O., Design of a Simple Fuzzy Logic Control for Food Processing, (2012), http://www.intechopen.com/books/trends-in-vital-foodandcontrol- engineering.
• [19] Mitchell M., An Introduction to Genetic Algorithms, (1996), Massachusetts Institute of Technology.
• [20] Setlak G., Alexandrov M., Markov K. (Eds.) Artificial Intelligence Methods and Techniques for Business and Engineering Applications, Rzeszow, Poland; Sofia, Bulgaria, (2012)
• [21] Rahmani B., Rafezi H., Solving Fuzzy Logic Problems With MATLAB, (2010)
• [22] Thakur A. S., Singh H., Wadhwani S., Designing of Fuzzy Logic Controller for Liquid Level Controlling, International Journal of u- and e- Service, Science and Technology, 8 (2015), No. 6, 267-276
• [23] Blej M., Azizi M., Comparison of Mamdani-Type and Sugeno- Type Fuzzy Inference Systems for Fuzzy Real Time Scheduling, International Journal of Applied Engineering Research, 11 (2016), No. 22.
• [24] Fuzzy Logic Toolbox™ User's Guide, 1995–2017 by The MathWorks, Inc., www.mathworks.com/support/contact_us
• [25] Comunale C.L., Sexton T.R., A Fuzzy Logic Approach to Assessing Materiality, Journal of emerging technologies in accounting, 2 (2005), 1–15.
• [26] Tadic D., Stefanovic M., Milanovic D., Fuzzy Approach in Evaluation of Operations in Food Production, International Journal for Quality Research, 1(2007).
• [27] Chennakesava R. A. Fuzzy logic and neural networks: Basic concepts & applications, (2008).
• [28] Ying Bai , Hanqi Zhuang, Fundamentals of Fuzzy Logic Control – Fuzzy Sets, Fuzzy Rules and Defuzzifications, Advanced Fuzzy Logic Technologies in Industrial Applications, (2006)
• [29] Smolarz A., Wojcik, W., Gromaszek K., Fuzzy modeling for optical sensor for diagnostics of pulverized coal burner, Procedia Engineering, 47 (2012), 1029-1032
• [30] Feng H.-M., Chen C.Y., Intelligent dynamic acquisition learning fuzzy modeling systems design, Journal of Marine Science and Technology, 22 (2014), No. 4, 430-439
• [31] Vaschenko N.V., Methodology for assessing the compatibility of regulatory requirements of domestic and foreign practices in the construction of quality management systems, Thesis for a scientific degree of Candidate of Technical Science, Moscow, (2014)

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).