Development of a set of regulatory models for metallurgical enterprise divisions functioning
https://doi.org/10.17073/0368-0797-2021-8-606-610
Abstract
Methodology of normative models, algorithms for their construction, as well as procedures for application in production facilities control and optimization tasks should fully meet modern requirements: multivariance, caseorientation, complexity, optimality, dynamism, flexibility. The listed aspects of construction and application of normative models for functioning of metallurgical enterprise divisions are presented in this work.
About the Authors
V. N. KadykovRussian Federation
Vladimir N. Kadykov, Cand. Sci. (Eng.), Assist. Prof. of the Chair “Metal Forming and Metal Science. OJSC “EVRAZ ZSMK”
42 Kirova Str., Novokuznetsk, Kemerovo Region – Kuzbass 654007
A. I. Musatova
Russian Federation
Aleksandra I. Musatova, Senior Lecturer of the Chair “Management
and Branch Economy”
42 Kirova Str., Novokuznetsk, Kemerovo Region – Kuzbass 654007
R. S. Koinov
Russian Federation
Roman S. Koinov, Senior Lecturer of the Chair “Automation and Information Systems”
42 Kirova Str., Novokuznetsk, Kemerovo Region – Kuzbass 654007
References
1. Merrick J.H., Weyant J.P. On choosing the resolution of normative models. European Journal of Operational Research. 2019, vol. 279, no. 2, pp. 511–523. http://doi.org/10.1016/j.ejor.2019.06.017
2. Gola A., Relich M., Kłosowski G., Świć A. Mathematical models for manufacturing systems capacity planning and expansion – An overview. Applied Mechanics and Materials. 2015, vol. 791, pp. 125–131. https://doi.org/10.4028/www.scientifc.net/AMM.791.125
3. Abbas A.E., Matheson J.E. Normative decision making with multiattribute performance targets. Journal of Multi-Criteria Decision Analysis. 2009, vol. 16, no. 34, pp. 67–78. https://doi.org/10.1002/mcda.434
4. Musatova A.I., Kulakov S.M. Features of building a normative model of drawing mills productivity. Nauchnoe obozrenie. 2014, no. 3, pp. 139–149. (In Russ.).
5. Tilindis J., Kleiza V. Mathematical modeling of production operations and processes for product design and manufacturing. Applied Mechanics and Materials. 2014, vol. 510, pp. 243–247. https://doi.org/10.4028/www.scientifc.net/AMM.510.243
6. Mohammad Hossein Zavvar Sabegh, Abolfazl Mirzazadeh, Eric C. Maass, Yucel Ozturkoglu, Mohammad Mohammadi, Shiva Moslemi. A mathematical model and optimization of total production cost and quality for a deteriorating production process. Cogent Mathematics. 2016, vol. 3, no. 1, article 1264175. https://doi.org/10.1080/23311835.2016.1264175
7. Nourali S., Imanipour N., Shahriari M.R. A mathematical model for integrated process planning and scheduling in flexible assembly job shop environment with sequence dependent setup times. International Journal of Mathematical Analysis. 2012, vol. 6, no. 43, pp. 2117–2132.
Review
For citations:
Kadykov V.N., Musatova A.I., Koinov R.S. Development of a set of regulatory models for metallurgical enterprise divisions functioning. Izvestiya. Ferrous Metallurgy. 2021;64(8):606-610. (In Russ.) https://doi.org/10.17073/0368-0797-2021-8-606-610