Dynamics of commodity indices and shares of manufacturing companies as a factor in managing the assortment and inventory of an enterprise

Svitlana Pyrohova; Viacheslav Gudymenko; Vyacheslav Lyashenko

Dynamics of commodity indices and shares of manufacturing companies as a factor in managing the assortment and inventory of an enterprise

Svitlana Pyrohova

Department of Mathematical Methods in Economics, V.N. Karazin Kharkiv National University, Ukrainе

Viacheslav Gudymenko

Department of Business, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute», Ukraine

Vyacheslav Lyashenko

Department of Media Systems and Technology, Kharkiv National University of Radio Electronics, Ukraine

##semicolon## Commodity inventories, Business entity, Commodity indices, Shares of manufacturing companies, Statistical analysis, Wavelet analysis

सार

The study of the effective functioning of various business entities is one of the key areas in the research of various authors. At the same time, one of the factors in achieving such efficiency is to consider the issue of providing the enterprise with inventory for production. A solution to this issue is proposed based on an analysis of the dynamics of quotations of the corresponding commodity indices and shares of companies producing goods. Such an analysis is carried out based on the study of various data series using descriptive statistics and wavelet ideology. For the study, the methodology of wavelet coherence assessments was used, which allows us to obtain the necessary solutions. The work presents various graphs and diagrams that allow you to understand the progress of the study and the results obtained.

##submission.citations##

Ahmadini, A. A. H., Modibbo, U. M., Shaikh, A. A., & Ali, I. (2021). Multi-objective optimization modelling of sustainable green supply chain in inventory and production management. Alexandria Engineering Journal, 60(6), 5129-5146.

Ferrari, A. M., Volpi, L., Settembre-Blundo, D., & García-Muiña, F. E. (2021). Dynamic life cycle assessment (LCA) integrating life cycle inventory (LCI) and Enterprise resource planning (ERP) in an industry 4.0 environment. Journal of Cleaner Production, 286, 125314.

Dzwigol, H., Dzwigol-Barosz, M., & Kwilinski, A. (2020). Formation of global competitive enterprise environment based on industry 4.0 concept. International Journal of Entrepreneurship, 24(1), 1-5.

Peng, Y., & Tao, C. (2022). Can digital transformation promote enterprise performance?—From the perspective of public policy and innovation. Journal of Innovation & Knowledge, 7(3), 100198.

Азаренкова, Г., & Ляшенко, В. (2009). Відношення переваг у порівняльній оцінці діяльності банків. Банківська справа, 5, 65-72.

Kuzemin, A., Lуashenko, V., Bulavina, E., & Torojev, A. (2005). Analysis of movement of financial flows of economical agents as the basis for designing the system of economical security (general conception). In Third international conference «Information research, applications, and education (pp. 27-30).

Куштим, В. В., & Ляшенко, В. В. (2007). Динаміка розвитку банківського сегмента міжнародного фінансового ринку. Фінанси України, (12), 96-105.

Kuzemin, A., & Lyashenko, V. (2006). Fuzzy set theory approach as the basis of analysis of financial flows in the economical security system. International Journal Information Theories & Applications, 13(1), 45–51.

Baranova, V., Zeleniy, O., Deineko, Z., & Lyashenko, V. (2019, October). Stochastic Frontier Analysis and Wavelet Ideology in the Study of Emergence of Threats in the Financial Markets. In 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T) (pp. 341-344). IEEE.

Omarov, M., Tikhaya, T., & Lyashenko, V. (2019). Internet marketing metrics visualization methodology for related search queries. International Journal of Advanced Trends in Computer Science and Engineering, 8(5), 2277-2281.

Mustafa, S. K., Ahmad, M. A., Baranova, V., Deineko, Z., Lyashenko, V., & Oyouni, A. A. A. (2020). Using wavelet analysis to assess the impact of COVID-19 on changes in the price of basic energy resources. International Journal of Emerging Trends in Engineering Research, 8(7), 2907-2912.

Kuzemin, A., & Lyashenko, V. (2009). Methods of comparative analysis of banks functioning: classic and new approaches. Information Theories & Applications, 16(4), 384-396.

Vasiurenko, O., Lyashenko, V., Baranova, V., & Deineko, Z. (2020). Spatial-Temporal Analysis the Dynamics of Changes on the Foreign Exchange Market: an Empirical Estimates from Ukraine. Journal of Asian Multicultural Research for Economy and Management Study, 1(2), 1-6.

Ahmad, M. A., Kots, G. P., & Lyashenko, V. V. (2015). Bank Lending Efficiency in the Real Sector of the Economy of Ukraine within the Period of 2011 to 2014 Years. Modern Economy, 6(12), 1209-1218.

Dobrovolskaya, I., & Lyashenko, V. (2013). Interrelations of banking sectors of European economies as reflected in separate indicators of the dynamics of their cash flows influencing the formation of the resource potential of banks. European Applied Sciences, 1-2, 114-118.

Ahmad, M. A., Kots, G. P., & Lyashenko, V. V. (2016). Statistical Study of Bank Lending Efficiency in the Real Sector of the Economy of Ukraine within the Period of Years 2009 to 2012. Asian Academic Research Journal of Multidisciplinary, 3(2), pp. 104-120.

Babker, A., & Lyashenko, V. (2018). Identification of megaloblastic anemia cells through the use of image processing techniques. Int J Clin Biomed Res, 4, 1-5.

Lyubchenko, V., & et al.. (2016). Digital image processing techniques for detection and diagnosis of fish diseases. International Journal of Advanced Research in Computer Science and Software Engineering, 6(7), 79-83.

Khan, A., Joshi, S., Ahmad, M. A., & Lyashenko, V. (2015). Some effect of Chemical treatment by Ferric Nitrate salts on the structure and morphology of Coir Fibre Composites. Advances in Materials Physics and Chemistry, 5(1), 39-45.

Sotnik, S., Mustafa, S. K., Ahmad, M. A., Lyashenko, V., & Zeleniy, O. (2020). Some features of route planning as the basis in a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(5), 2074-2079.

Lyashenko, V. V., Deineko, Z. V., & Ahmad, M. A. Properties of wavelet coefficients of self-similar time series. In other words, 9, 16.

Lyashenko, V. V., Matarneh, R., Baranova, V., & Deineko, Z. V. (2016). Hurst Exponent as a Part of Wavelet Decomposition Coefficients to Measure Long-term Memory Time Series Based on Multiresolution Analysis. American Journal of Systems and Software, 4(2), 51-56.

Al-Sherrawi, M. H., Lyashenko, V., Edaan, E. M., & Sotnik, S. (2018). Corrosion as a source of destruction in construction. International Journal of Civil Engineering and Technology, 9(5), 306-314.

Matarneh, R., Tvoroshenko, I., & Lyashenko, V. (2019). Improving Fuzzy Network Models For the Analysis of Dynamic Interacting Processes in the State Space. International Journal of Recent Technology and Engineering, 8(4), 1687-1693.

Onyshchenko, O., Bukharina, O., & Tupikina, A. (2019). Features of inventory management in logistics system of a trading enterprise. Management and entrepreneurship: trends of development, 4(10), 94-107.

Mishra, S., Modi, S. B., & Animesh, A. (2013). The relationship between information technology capability, inventory efficiency, and shareholder wealth: A firm-level empirical analysis. Journal of Operations Management, 31(6), 298-312.

Mansur, A., & Kuncoro, T. (2012). Product inventory predictions at small medium enterprise using market basket analysis approach-neural networks. Procedia Economics and Finance, 4, 312-320.

Britchenko, I., & Bezpartochnyi, M. (2020). Optimization of commodity stocks enterprise by means of HML-FRM clustering. Financial and credit activity: problems of theory and practice, 3(34), 259-269.

Olsen, T. L., & Parker, R. P. (2008). Inventory management under market size dynamics. Management Science, 54(10), 1805-1821.

Srour, H., & Azmy, A. (2021). Inventory Management and Its Impact on the Firm Performance. World Research of Business Administration Journal, 1(1), 45-65.

Qi, M., Shi, Y., Qi, Y., Ma, C., Yuan, R., Wu, D., & Shen, Z. J. (2023). A practical end-to-end inventory management model with deep learning. Management Science, 69(2), 759-773.

Torrence, С., & Webster, P. J. (1999). Interdecadal changes in the ENSO–monsoon system. Journal of climate, 12(8), 2679-2690.

Heil, C.E., & Walnut, D.F. (1989). Continuous and discrete wavelet transforms. SIAM review, 31(4), 628- 666.

Kingsbury, N. (1999). Image processing with complex wavelets. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 357(1760), 2543-2560.

Vasiurenko, O., & Lyashenko, V. (2020). Wavelet coherence as a tool for retrospective analysis of bank activities. Economy and Forecasting, (2), 43-60.

Baranova, V., Orlenko, O., Vitiuk, A., Yakimenko-Tereschenko, N., & Lyashenko, V. (2020). Information system for decision support in the field of tourism based on the use of spatio-temporal data analysis. International Journal of Advanced Trends in Computer Science and Engineering, 9(4), 6356-6361.

Dadkhah, M., Lyashenko, V., & Jazi, M. (2015). Methodology of the Chaos Theory in research of phishing attacks. International Journal of Academic Research, 7(1), 169-175.

Orhan, A., Kirikkaleli, D., & Ayhan, F. (2019). Analysis of wavelet coherence: service sector index and economic growth in an emerging market. Sustainability, 11(23), 6684.

Kirikkaleli, D., & Gokmenoglu, K. K. (2020). Sovereign credit risk and economic risk in Turkey: empirical evidence from a wavelet coherence approach. Borsa Istanbul Review, 20(2), 144-152.