SET-THEORETIC DESCRITPION OF FUNCTIONAL MODELS OF CHEMICAL MANUFACTURING
https://doi.org/10.32362/2410-6593-2017-12-5-71-78
Abstract
About the Authors
E. V. BurlyaevaRussian Federation
Dr.Sc. (Engineering), Professor, Chair of Informational Systems in Chemical Technologies
86, Vernadskogo Pr., Moscow, 119571, Russia
V. V. Burlyaev
Russian Federation
Ph.D. (Engineering), Professor, Chair of Informational Systems in Chemical Technologies
86, Vernadskogo Pr., Moscow, 119571, Russia
V. S. Tsekhanovich
Russian Federation
Postgraduate Student, Chair of Informational Systems in Chemical Technologies
86, Vernadskogo Pr., Moscow, 119571, Russia
References
1. Bayer B., Marquardt W. A comparison of data models in chemical engineering // Concurrent Engineering. 2003. V. 11. Iss. 2. P. 129–138.
2. Fuchino T., Miyazawa M., Naka Y. Business model of plant maintenance for lifecycle safety // Computer Aided Chemical Engineering. 2007. V. 24. P. 1175–1180.
3. Jeong K.-Y., Wu L., Hong J.-D. IDEF methodbased simulation model design and development framework // J. Industrial Engineering and Management. 2009. V. 2. № 2. P. 337–359.
4. Repin V., Eliferov V. Processnyj podhod k upravleniju. Modelirovanie biznes-processov (Process approach to control. Business processes modeling). Moscow: Mann, Ivanov and Ferber Publ., 2013. 544 p. (in Russ.).
5. Sugiyama H., Fischer U., Antonijuan E., Hoffmann V. H., Hirao M., Hungerbühler K. How do different process options and evaluation settings affect economic and environmental assessments? A case study on methyl methacrylate (MMA) production processes // Process Safety and Environmental Protection. 2009. V. 87(6). P. 361–370.
6. Aifaoui N., Deneux D., Soenen R. Feature based interoperability between design and analysis processes // J. Intelligent Manufacturing. 2006. V. 17 (1). P. 13–27.
7. Burlyaeva E.V., Kolybanov K.Yu., Panova S.A. Informacionnaya podderzhka sistem prinyatiya reshenij na proizvodstvennuh predprijatiyah himicheskogo profilya (Informational support of decision-making systems at chemical plants). Moscow: MITHT Publ., 2013. 196 p. (in Russ.).
8. Informacionnye tehnologii podderzhki zhiznennogo cikla produkcii. Metodologiya funkcionalnogo modelirovaniya (Recommendations for standardization. Information technology support of the product life cycle. Functional modling methodology). Moscow, Gosstandart Publ., 2001. 19 p. (in Russ.).
9. Burlyaeva E., Burlyaev V., Frolkova A. Functional modeling of basic organic synthesis manufacturing by the example of vinyl acetate production // Khimicheskaya tekhnologiya (J. Chem. Technol). 2016. № 9. P. 418–423 (in Russ.).
10. https://www.ca.com/us.html (Data of access: June 30, 2017)
11. Maklakov S.V. Modelirovanie biznes-processov s AllFusion Process Modeler (BPwin 4.1). (Business processes modeling by AllFusion Process Modeler (BPwin 4.1)). Moscow: Dialog-MIFI Publ., 2002. 240 p. (in Russ.).
12. https://www.edrawsoft.com/IDEF0-flowcharts. php (Data of access: June 30, 2017)
13. Alekseev V., Talanov V. Grafy i algoritmy. Struktury dannyh. Modeli vychislenij (Graphs and algorithms. Data structures. Calculation models). Moscow: Intuit, Binom Publ., 2012. 320 p. (in Russ.).
14. Timofeev V.S., Serafimov L.A., Timoshenko A.V. Princypy tehnologii osnovnogo organicheskogo i neftehimicheskogo sintesa (Principles of technology of basic organic and petrochemical synthesis). Moscow: Vysshaya shkola Publ., 2010. 408 p. (in Russ.).
15. Burlyaeva E., Razlivinskaya S., Tregubov A. Development and application of the generalized functional model of one-stage chemical manufacturing // Prikladnaya informatika (J. Appl. Informatics). 2016. V. 11. № 1 (61). P. 64–70. (in Russ.).
Review
For citations:
Burlyaeva E.V., Burlyaev V.V., Tsekhanovich V.S. SET-THEORETIC DESCRITPION OF FUNCTIONAL MODELS OF CHEMICAL MANUFACTURING. Fine Chemical Technologies. 2017;12(5):71-78. (In Russ.) https://doi.org/10.32362/2410-6593-2017-12-5-71-78