Management of an advertising campaign based on the model of the enterprise's logistic system

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.201087

Keywords:

model approach, optimal advertising costs, logistics, management of logistics processes, market demand, planning horizon, supply chain from manufacturer to final consumer

Abstract

The study is devoted to solving the scientific problem of optimal expansion of the enterprise’s market niche, taking into account potential demand and the formation of an effective advertising campaign. An economic-mathematical model of the enterprise’s production activity has been developed taking into account logistics and market demand.

The problem of determining the optimal advertising costs is solved in two formulations:

a) the enterprise produces homogeneous goods and the wholesale warehouse can fulfill the retail order for any quantity of goods in the wholesale warehouse;

b) the enterprise produces some products in assortment. In this case, a certain minimum stock of products should be available at the wholesale warehouse.

The study found that the optimal advertising costs are determined by the value of all the main parameters of the enterprise’s logistics system.

This conclusion was obtained as a result of careful model accounting of the structure of the enterprise’s logistics system. All the main links (flows) between the elements of the logistics system were also taken into account. The simulation was performed in such a way that non-physical phenomena (for example, storage overflow, etc.) did not appear at the intermediate stages of modeling. The calculations found that with the planned capacity of 4.1 (units per day), the annual profit will be 3975.5 (units) with an optimal advertising cost of 44.8 (units). The practical significance of the study is that scientific ideas about the relationship of the advertising campaign with the production potential of the enterprise can serve as the basis for more efficient management of the budget process at the enterprise, namely: more informed planning of production volumes and expenses for its advertising campaign

Author Biographies

Yuriy Sherstennikov, Oles Honchar Dnipro National University Gagarina ave., 72, Dnipro, Ukraine, 49010

Doctor of Economic Sciences, Associate Professor

Department of Economic Cybernetics

Tatyana Rudyanova, University of Customs and Finance V. Vernadskoho ave., 2/4, Dnipro, Ukraine, 49000

PhD

Department of Computer Science and Software Engineering

Liliia Barannyk, University of Customs and Finance V. Vernadskoho ave., 2/4, Dnipro, Ukraine, 49000

Doctor of Economic Sciences, Professor

Department of Social Security and Tax Policy

Victoriia Datsenko, University of Customs and Finance V. Vernadskoho ave., 2/4, Dnipro, Ukraine, 49000

PhD, Associate Professor

Department of Entrepreneurship, Marketing and Enterprise Economics

Lyudmyla Novikova, University of Customs and Finance V. Vernadskoho ave., 2/4, Dnipro, Ukraine, 49000

PhD, Associate Professor

Department of Banking and Financial Services

References

Forrester, J. W. (1958). Industrial Dynamics – A Major Breakthrough for Decision Makers. Harvard Business Review, 36 (4), 37–66. Available at: https://ru.scribd.com/doc/158721742/Industrial-Dynamics-A-Major-Breakthrough-for-Decision-Makers

Brajnik, G., Gabrielli, S. (2010). A Review of Online Advertising Effects on the User Experience. International Journal of Human-Computer Interaction, 26 (10), 971–997. doi: https://doi.org/10.1080/10447318.2010.502100

Lambrecht, A., Tucker, C. (2013). When Does Retargeting Work? Information Specificity in Online Advertising. Journal of Marketing Research, 50 (5), 561–576. doi: https://doi.org/10.1177/002224371305000508

Wang, T.-C., Chen, L. Y., Chen, Y.-H. (2008). Applying Fuzzy PROMETHEE Method for Evaluating IS Outsourcing Suppliers. 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery. doi: https://doi.org/10.1109/fskd.2008.506

Yuan, S., Wang, J., Zhao, X. (2013). Real-time bidding for online advertising: measurement and analysis. arXiv. Available at: https://arxiv.org/pdf/1306.6542.pdf

He, X., Prasad, A., Sethi, S. P. (2009). Cooperative Advertising and Pricing in a Dynamic Stochastic Supply Chain: Feedback Stackelberg Strategies. Production and Operations Management. 18 (1), 78–94. doi: https://doi.org/10.1111/j.1937-5956.2009.01006.x

Du, H., Xu, Y. (2012). Research on Multi-Objective Optimization Decision Model of Web Advertising – Takes Recruitment Advertisement as an Example. International Journal of Advancements in Computing Technology, 4 (10), 329–336. doi: https://doi.org/10.4156/ijact.vol4.issue10.39

Guha, S., Cheng, B., Francis, P. (2010). Challenges in measuring online advertising systems. Proceedings of the 10th Annual Conference on Internet Measurement - IMC ’10. doi: https://doi.org/10.1145/1879141.1879152

Marques, C. P., Almeida, D. (2013). A Path Model of Attitudinal Antecedents of Green Purchase Behaviour. ECONOMICS & SOCIOLOGY, 6 (2), 135–144. doi: https://doi.org/10.14254/2071-789x.2013/6-2/12

Xie, J., Neyret, A. (2009). Co-op advertising and pricing models in manufacturer–retailer supply chains. Computers & Industrial Engineering, 56 (4), 1375–1385. doi: https://doi.org/10.1016/j.cie.2008.08.017

Tsou, C.-S., Fang, H.-H., Lo, H.-C., Huang, C.-H. (2009). A study of cooperative advertising in a manufacturer-retailer supply chain. International Journal of Information and Management Sciences, 20, 15–26.

Wei, Y., Choi, T.-M. (2010). Mean–variance analysis of supply chains under wholesale pricing and profit sharing schemes. European Journal of Operational Research, 204 (2), 255–262. doi: https://doi.org/10.1016/j.ejor.2009.10.016

Kogler, C., Rauch, P. (2018). Discrete event simulation of multimodal and unimodal transportation in the wood supply chain: a literature review. Silva Fennica, 52 (4). doi: https://doi.org/10.14214/sf.9984

Siderska, J. (2016). Application of tecnomatix plant simulation for modeling production and logistics processes. Business, Management and Education, 14 (1), 64–73. doi: https://doi.org/10.3846/bme.2016.316

Bremer, P. (2018). Towards a reference model for the cold chain. The International Journal of Logistics Management, 29 (3), 822–838. doi: https://doi.org/10.1108/ijlm-02-2017-0052

Farahani, R. Z., Rezapour, S., Kardar, L. (2011). Logistics Operations and Management: Concepts and Models. Elsevier, 486. doi: https://doi.org/10.1016/c2010-0-67008-8

Voronin, A. V., Gunko, O. V. (2013). Discrete Model of Market Adaptation. Business Inform, 4, 158–162. Available at: http://nbuv.gov.ua/UJRN/binf_2013_4_30

Titarenko, D. V. (2011). Model of conduct of users of the same type products. Business Inform, 10, 99–100. Available at: https://www.business-inform.net/annotated-catalogue/?year=2011&abstract=2011_10_0&lang=ru&stqa=23

Gvozdetskaya, I. V., Ostapchuk, O. V. (2011). Analysis of Approaches to Modeling Industrial Enterprise Management Processes. Business Inform, 5, 79–80. Available at: https://www.business-inform.net/annotated-catalogue/?year=2011&abstract=2011_05_1&lang=ua&stqa=23

Gorskii, A. A., Kolpakova, I. G., Lokshin, B. Ya. (1998). Dynamical model of the process of production, storage, and sale of daily demand goods. Izvestiya Rossiyskoy Akademii Nauk. Teoriya i sistemy upravleniya, 1, 144–148. Available at: https://www.elibrary.ru/item.asp?id=14945102

Sherstennykov, Yu. V., Rudianova, T. M. (2014). Modeliuvannia mekhanizmiv vplyvu na tempy prodazhu produktsiyi pidpryiemstva. Aktualni problemy ekonomiky, 1, 551–559.

Sherstennykov, Y. V., Rudyanova, T. M. (2013). Model for planning of small or medium enterprise project. Actual Problems of Economics, 7, 205–216. Available at: http://nbuv.gov.ua/UJRN/ape_2013_7_25

Sherstennykov, Yu. V. (2011). Model zhyttievoho tsyklu proektu i sezonnosti v roboti maloho pidpryiemstva. Aktualni problemy ekonomiky, 8, 334–347.

Sherstennikov, Yu. V., Rudianova, T. M., Brytska, V. Yu. (2018). The Model Optimization of Production Capacity of Enterprise. Business Inform, 6, 186–192. Available at: http://nbuv.gov.ua/UJRN/binf_2018_6_27

Published

2020-04-30

How to Cite

Sherstennikov, Y., Rudyanova, T., Barannyk, L., Datsenko, V., & Novikova, L. (2020). Management of an advertising campaign based on the model of the enterprise’s logistic system. Eastern-European Journal of Enterprise Technologies, 2(3 (104), 40–49. https://doi.org/10.15587/1729-4061.2020.201087

Issue

Section

Control processes