Development of an intelligent model for management of the requirements of marketing projects of the pharmaceutical industry
DOI:
https://doi.org/10.15587/2706-5448.2024.312707Keywords:
marketing project, pharmaceutical industry, product requirements, requirements management, intelligent modelAbstract
The object of research is the processes of managing the requirements of the marketing project using means of intelligent data analysis and artificial intelligence systems. Marketing projects include a large number of projects of various types, formats and scales. The work considers projects that are initiated at an existing pharmaceutical enterprise that produces drugs for the local market. Over a period of time, the company needs to introduce new dosage forms to the market. It is not about the development of new innovative drugs. Usually, these are new mixtures of known components, but according to the results of global research, adding new components to the formulation gives a new, additional effect. Also, it can be a new form, for example, a spray or syrup for children, etc. Nevertheless, in order to produce such a new product and bring it to the market, to make a profit, it is necessary to conduct a study of the local market in order to find analogues, consumer expectations and predict future cash flows from sales of new drugs. In order to form requirements for the project of creating and manufacturing a new medicinal form, the company initiates marketing projects. Such marketing projects are the subject of research.
As a result of the marketing project of the analysis of the drug market, it is necessary to form the contours of a new product and the requirements for the project of creating this product – a new medicinal product. Collecting and forming requirements is not a trivial task. Therefore, in the work, it is proposed to apply means of intelligent data analysis, which will be implemented on artificial intelligence systems. As a result, an intelligent model for managing the requirements of marketing projects of the pharmaceutical industry was developed. The non-triviality of the task of requirements formation is based on the fact that it is multi-criteria. The desired requirements and, accordingly, the future product of the project depend on: the lack of a similar dosage form on the local market, the presence of theoretical and practical pharmacological developments in this direction, the technical and financial capabilities of the enterprise, the expectations of stakeholders and consumers of the product. The use of intelligent tools will allow to avoid a conflict of requirements and to develop a medicine that will not only meet the expectations of all participants of the local pharmaceutical market, but also provide profit to the developing company.
References
- Rudenko, O. M., Andriienko, V. O., Teslenko, P. O. (2022). Internet-marketynh, yak forma marketynhovykh proiektiv. Tezy dopovidei VII Mizhnarodnoi naukovo-praktychnoi konferentsii R3M-2022. Odesa: IShIR, 94–96.
- Teslenko, P. O. (2017). Proekt yak vidkryta ta neliniina systema. «Upravlinnia proektamy u rozvytku suspilstva». Tema: Rozvytok kompetentsii proektnoho upravlinnia v umovakh kryzy. Kyiv: KNUBA, 188–189.
- Husieva, Yu. Yu., Martynenko, O. S., Kadykova, I. M., Chumachenko, I. V. (2017). Metrics of Management and Control Requirements Processes in Projects. Radio Electronics, Computer Science, Control, 4, 179–186.
- Higgins, S. A., de Laat, M., Gieles, P. M. C., Geurts, E. M. (2003). Managing Requirements for Medical IT Products. Available at: https://www.tamps.cinvestav.mx/~ertello/svam/s04-SWE-Medic.pdf
- Rudenko, O. M., Teslenko, P. O. (2022). Marketynhovi proiekty – sutnist ta osoblyvosti. Intelektualni informatsiini systemy v upravlinni proiektamy ta ekonomitsi v umovakh voiennoho stanu. Kharkiv-Koblevo, 106–109.
- Rudenko, E., Teslenko, P. (2023). Marketing projects of the pharmaceutical industry. Analysis and feature. Management of Development of Complex Systems, 54, 40–47. https://doi.org/10.32347/2412-9933.2023.54.40-47
- Ushakova, I. O., Makarova, H. V. (2018). Management technique of requirements in agile. Zbirnyk naukovykh prats Kharkivskoho natsionalnoho universytetu Povitrianykh Syl, 2, 93–98. https://doi.org/10.30748/zhups.2018.56.13
- Snegirev, F. (2011). Etika marketinga lekarstv: mezhdunarodnye mosty i reguliatornye prichaly. Balans na grani, ili Iskra riska–2. Apteka, 42 (813). Available at: https://www.apteka.ua/article/100185
- Rudenko, O. V., Teslenko, P. O. (2023). Upravlinnia vymohamy yak skladova marketynhovykh proiektiv. Upravlinnia proiektamy u rozvytku suspilstva. Kyiv: KNUBA, 204–208.
- Barabash, O. V., Obidin, D. M., Musiienko, A. P. (2014). Knowledge base model of intellectual control system of high-speed moving objects based on its verification. Systemy obrobky informatsii, 5, 3–6. Available at: http://nbuv.gov.ua/UJRN/soi_2014_5_3
- Kostetskyi, Y., Babii, S. (2022). Development of the concept of intellectual process management of business processes of the enterprise. Economic Analysis, 32 (3), 288–299. https://doi.org/10.35774/econa2022.03.288
- Berkman, L., Barabash, O., Musienko, A., Tkachenko, O., Laptiev, O., Svynchuk, O. (2022). Intelligent control system for infocomunication networks. Control, Navigation and Communication Systems. Academic Journal, 3 (69), 54–59. https://doi.org/10.26906/sunz.2022.3.054
- Venher, S., Marchenko, A. (2024). Intellectual model of formation individual educational trajectory of the applicant on the learning platform. Modern Information Technologies in the Sphere of Security and Defence, 49 (1). https://doi.org/10.33099/2311-7249/2024-49-1-160-170
- Tikkanen, H., Kujala, J., Artto, K. (2007). The marketing strategy of a project-based firm: The Four Portfolios Framework. Industrial Marketing Management, 36 (2), 194–205. https://doi.org/10.1016/j.indmarman.2006.03.006
- Shapovalova, E. P. (2018). Formuvannia partnerskykh vidnosyn zi spozhyvachamy na zasadakh etychnoho marketynhu. Avtoref. dys. … kand. ekonom. nauk.
- Kolomytseva, O. V., Vasylchenko, L. S., Burtseva, T. I., Pepchuk, S. M., Denha, L. M. (2021). Metody marketynhovoho doslidzhennia tsinovoi polityky pidpryiemstv ryteilu ta yikh vplyv na povedinku spozhyvacha. Zbirnyk naukovykh prats ChDTU. Seriia: Ekonomichni nauky, 62, 93–100.
- Chou, J.-S., Lin, C.-W., Pham, A.-D., Shao, J.-Y. (2015). Optimized artificial intelligence models for predicting project award price. Automation in Construction, 54, 106–115. https://doi.org/10.1016/j.autcon.2015.02.006
- A Guide to the Project Management Body of Knowledge and the Standard for Project Management. (2021). USA. PMI, 274.
- Ko, C.-H., Cheng, M.-Y. (2007). Dynamic Prediction of Project Success Using Artificial Intelligence. Journal of Construction Engineering and Management, 133 (4), 316–324. https://doi.org/10.1061/(asce)0733-9364(2007)133:4(316)
- Druker, P. F. (2019). Efektyvnyi kerivnyk. Vydavnytstvo KM-BUKS, 288.
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