Кафедра "Системний аналіз та інформаційно-аналітичні технології"

Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/7644

Офіційний сайт кафедри http://web.kpi.kharkov.ua/say

Кафедра "Системний аналіз та інформаційно-аналітичні технології" заснована в 1982 році.

Кафедра входить до складу Навчально-наукового інституту комп'ютерних наук та інформаційних технологій Національного технічного університету "Харківський політехнічний інститут". Випускники кафедри працюють у провідних ІТ-компаніях: EPAM, CloudWorks, DataArt, MedeAnalytics, NIX Solutions, CodeIT, Ciklum та багатьох інших в Україні та за кордоном.

У складі науково-педагогічного колективу кафедри працюють: 4 доктора технічних наук; 9 кандидатів наук: 8 – технічних , 1 – економічних; 4 співробітника мають звання професора, 9 – доцента.

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2022 - 20232

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Ключові слова: search.filters.subject.dynamic pricing

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  • Ескіз
    Публікація
    Heuristic Rules for the Dynamic Pricing Problem
    (Vilnius University Press, 2023) Melnikov, Oleg
    This paper is devoted to the development of heuristics for the dynamic pricing problem. A discrete time model of dynamic pricing on the fixed time horizon is proposed. It is applicable to products that satisfy two properties: 1) product value expires at a certain predetermined date, and 2) consumers demand at most a single unit of the product. This type of demand structure allows deriving a simple system of recursive equations for optimal prices using dynamic programming techniques. Optimal pricing policy is expressed as a function of time to expiration and inventory levels of unsold products. An analytical solution to this problem was obtained for special cases, while for the general case, a numerical algorithm has been developed. Qualitative characteristics of the optimal pricing policy are established, and their implications for dynamics of inventories and prices are discussed. Based on these observations, a simple heuristic rule for dynamic price adjustments is proposed. Performance of this heuristic is evaluated against the optimal dynamic and fixed-price policies using Monte-Carlo experiments. Results demonstrate high efficiency of the proposed heuristic strategy and its even simpler derivatives. Heuristics’ adaptability and ease of implementation should make it suitable and attractive for small and medium businesses.
  • Ескіз
    Документ
    Dynamic Pricing Strategies for Discrete Perishable Products
    (2022) Melnikov, O. S.
    The paper is devoted to the development of a dynamic pricing strategy for the sale of products whose value expires with time. Sales of discrete goods to heterogeneous consumers who have at most a unit demand for sold goods is considered. This type of demand structure makes it possible to describe the optimal pricing strategy using a simple system of recursive equations, which allows for an analytical solution in some special cases. For the general case, a numerical algorithm has been developed for finding the optimal solution as a function of time to expiration and remaining stocks of unsold products. The proposed strategy is compared with the fixed-price policy and estimates of economic gain from employing dynamically adjusted prices are obtained. Simple heuristics for sales management under conditions of incomplete information are also proposed.