DIGITALIZATION MODEL DEVELOPMENT OF IT COMPANY'S HARDWARE PROCUREMENT PROCESS

Isus Raichuk, Iuliia Khlevna, Oleksandr Voitenko, Oleksandr Timinskyi
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Abstract

The article sets the scientific task of creating a model of digitization of the business process of hardware procurement management for IT companies. The relevance and practical value of such a model is emphasized. Scientific studies on the optimization and digitization of the business process of procurement management in various industries have been reviewed and analyzed. The analysis of the following models and methods that can be used in the construction of an integral model was carried out: a multi-criteria mathematical model of supplier selection, an adaptive convolution method, a controlling method, an optimization model of cost determination, a threshold delivery point model. Based on the analysis, a model of digitalization of the business process of hardware procurement management for IT companies was developed. The following model structure is proposed: the company's internal database; software module for analyzing the current state of material resources (hardware); external sources of hardware; program-algorithm for finding offers of necessary hardware; configuration data to determine hardware compliance with IT company requirements; a module for processing existing proposals based on an artificial neural network; graphic interface of interaction with the system; integration layers. The product that implements the created model has been identified – it is a decision support system for IT company purchases based on an artificial neural network. A functional description of each of the modules of the future system has been made. Recommendations on the application of the analyzed models of algorithms and methods in the implementation of the software product have been developed. A conclusion was made regarding the proposed model, its integrity, flexibility, and scalability were emphasized. The direction of further research is formulated - the detailing of each layer of the digitalization model of the business process of hardware procurement for an IT company.
it公司硬件采购流程的数字化模式开发
本文提出了构建IT企业硬件采购管理业务流程数字化模型的科学任务。强调了该模型的实用性和实用价值。对各行业采购管理业务流程优化和数字化的科学研究进行了回顾和分析。分析了可用于构建集成模型的模型和方法:供应商选择的多准则数学模型、自适应卷积法、控制方法、成本确定的优化模型、阈值交付点模型。在此基础上,建立了IT企业硬件采购管理业务流程数字化模型。提出以下模型结构:公司内部数据库;分析物料资源现状的软件模块(硬件);硬件的外部来源;寻找必要硬件供应的程序算法;配置数据以确定硬件是否符合IT公司的要求;基于人工神经网络的提案处理模块;与系统交互的图形界面;集成层。实现所创建模型的产品已经确定——它是一个基于人工神经网络的it公司采购决策支持系统。对未来系统的各个模块进行了功能描述。对分析的算法模型和方法在软件产品实现中的应用提出了建议。最后对所提出的模型进行了总结,强调了模型的完整性、灵活性和可扩展性。提出了进一步研究的方向——对某IT公司硬件采购业务流程数字化模型的各层进行细化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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