Managing costs of an industrial enterprise when using secondary resources
DOI:
https://doi.org/10.15587/1729-4061.2020.208764Keywords:
industrial enterprise, cost management, secondary resources, cost optimization, linear programmingAbstract
Cost price reduction is one of the ways to improve the competitiveness of products. It is possible by establishing the set of factors affecting the production costs at an industrial enterprise and building on this basis a mathematical model of in-house cost management.
The study objective was to develop and substantiate an economic-and-mathematical model of management to minimize the enterprise costs taking into account the utilization of secondary resources obtained in the production of basic products. The model consists of two stages. At the first stage, full costs of production of basic and additional products are determined. The peculiarity of this production implies the generation of significant amounts of secondary resources that have both independent value and opportunities for their use in the main technological process. This leads to complex material flows within the production process, which were accounted for in the study with the help of an adapted "cost-output" balance model.
A plant can function with the use of a variety of raw materials which differ in both prices and rates of the output of basic products and secondary resources. This brings about the problem of finding an optimal combination of input resources to minimize costs or maximize profits. The problem is solved in the second stage. It is formalized as a linear programming problem. It features the provision of the ability to establish indicative plans of production of both main products and by-products.
The model was tested on the example of coke-chemical plants producing coke of KDM-2 grade with 6 % humidity content and KDM-1 grade coke of improved quality as the main products. Coke oven gas, coke fines, beans, and sludge are produced as by-products. After purifying the coke oven gas, it is further used in the production of heat and electricity, compressed air, and a fuel for coke ovens. Thus, the produced fuel and energy, utilizable material resources, and circulating water supply are secondary resources. A certain portion of by-products is sold to third parties.
When applied, the model will make it possible to improve the efficiency of cost management at enterprises
References
- Leontief, W., Leontief, W. W. (1986). Input-Output Economics. Oxford University Press, 436.
- Podolski, M., Sroka, B. (2019). Cost optimization of multiunit construction projects using linear programming and metaheuristic-based simulated annealing algorithm. Journal of civil engineering and management, 25 (8), 848–857. doi: https://doi.org/10.3846/jcem.2019.11308
- Zhang, Y., Islam, M. M., Sun, Z., Yang, S., Dagli, C., Xiong, H. (2018). Optimal sizing and planning of onsite generation system for manufacturing in Critical Peaking Pricing demand response program. International Journal of Production Economics, 206, 261–267. doi: https://doi.org/10.1016/j.ijpe.2018.10.011
- Myznikova, T. N., Bunova, E. V., Yaroslavova, E. N. (2017). Modeling the formation of an industrial enterprise operating income. SHS Web of Conferences, 35, 01088. doi: https://doi.org/10.1051/shsconf/20173501088
- Letmathe, P., Wagner, S. (2018). “Messy” marginal costs: Internal pricing of environmental aspects on the firm level. International Journal of Production Economics, 201, 41–52. doi: https://doi.org/10.1016/j.ijpe.2018.04.016
- Sari, R. M., Tambunan, M. M., Syahputri, K., Anizar, A., Siregar, I., Indah Rizkya, T. (2018). Optimization of saving production cost in plastic jute sacks with dynamic programming. MATEC Web of Conferences, 197, 14008. doi: https://doi.org/10.1051/matecconf/201819714008
- Xu, X., Gu, X., Wang, Q., Gao, X., Liu, J., Wang, Z., Wang, X. (2018). Production scheduling optimization considering ecological costs for open pit metal mines. Journal of Cleaner Production, 180, 210–221. doi: https://doi.org/10.1016/j.jclepro.2018.01.135
- Suzanne, E., Absi, N., Borodin, V. (2020). Towards circular economy in production planning: Challenges and opportunities. European Journal of Operational Research, 287 (1), 168–190. doi: https://doi.org/10.1016/j.ejor.2020.04.043
- Baleta, J., Mikulčić, H., Klemeš, J. J., Urbaniec, K., Duić, N. (2019). Integration of energy, water and environmental systems for a sustainable development. Journal of Cleaner Production, 215, 1424–1436. doi: https://doi.org/10.1016/j.jclepro.2019.01.035
- Gitelman, L., Magaril, E., Kozhevnikov, M., Rada, E. C. (2019). Rational Behavior of an Enterprise in the Energy Market in a Circular Economy. Resources, 8 (2), 73. doi: https://doi.org/10.3390/resources8020073
- Parlar, M., Sharafali, M., Goh, M. (2019). Optimal control and cooperative game theory based analysis of a by-product synergy system. Journal of Cleaner Production, 233, 731–742. doi: https://doi.org/10.1016/j.jclepro.2019.05.243
- Itogi raboty koksohimicheskih predpriyatiy i proizvodstv Ukrainy v 2014 godu (2015). Dnepropetrovsk: UNPA «Ukrkoks», 76.
- Itogi raboty koksohimicheskih predpriyatiy i proizvodstv Ukrainy v 2015 godu (2016). Dnepr: UNPA «Ukrkoks», 78.
- Itogi raboty koksohimicheskih predpriyatiy i proizvodstv Ukrainy v 2016 godu (2017). Dnepr: UNPA «Ukrkoks», 85.
- Itogi raboty koksohimicheskih predpriyatiy i proizvodstv Ukrainy v 2017 godu (2018). Dnepr: UNPA «Ukrkoks», 84.
- Itogi raboty koksohimicheskih predpriyatiy i proizvodstv Ukrainy v 2018 godu (2019). Dnepr: UNPA «Ukrkoks», 73.
- Anatoliy Starovoyt: “Tol'ko “Azovstal'” vnedrila tehnologiyu vduvaniya koksovogo gaza”. Ukrrudprom. Available at: http://www.ukrrudprom.com/digest/542107887787878.html?print%201/5
- Kovalev, E. T., Bannikov, L. P., Kostenko, A. V. (2010). Perspektivnye napravleniya razvitiya protsessov podgotovki koksovogo gaza i vozmozhnye puti ego kvalifitsirovannogo ispol'zovaniya v promyshlennosti. UgleHimicheskiy zhurnal, 3-4, 82–87.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Diana Raiko, Olha Podrez, Viktoriia Cherepanova, Oleg Melnikov, Alla Kharchenko
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.