| dc.contributor.author | Слободян, Р. В. | uk |
| dc.contributor.author | Богач, І. В. | uk |
| dc.contributor.author | Slobodian, R. V. | en |
| dc.contributor.author | Bogach, I. V. | en |
| dc.date.accessioned | 2026-02-16T09:45:34Z | |
| dc.date.available | 2026-02-16T09:45:34Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Слободян Р. В., Богач І. В. Розподіл задач на основі ші: порівняння розподілу на основі навичок з традиційними підходами // Оптико-електроннi iнформацiйно-енергетичнi технологiї. 2025. № 2. С. 340-347. URI: https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/828. | uk |
| dc.identifier.issn | 2311-2662 | |
| dc.identifier.uri | https://ir.lib.vntu.edu.ua//handle/123456789/50648 | |
| dc.description.abstract | The paper presents a practical solution for intelligent task distribution using AI by matching the skill requirements of a task with the skills of available agents. A comparative analysis with traditional task distribution methods is provided. Testing results confirm that the proposed solution delivers high accuracy and adaptability, making it suitable for modern companies seeking an approach that is easy to implement and flexible in use. | en |
| dc.description.abstract | У статті запропоновано практичне рішення для інтелектуального розподілу задач із використанням ШІ шляхом зіставлення навичок, необхідних для вирішення задачі, з навичками доступних агентів. Виконано його порівняльний аналіз з традиційними методами розподілу задач. Результати тестування підтверджують високу точність і адаптивність запропонованого підходу, що робить його придатним для сучасних компаній, які шукають просте у впровадженні та гнучке у використанні рішення. | uk |
| dc.language.iso | uk_UA | uk_UA |
| dc.publisher | ВНТУ | uk |
| dc.relation.ispartof | Оптико-електроннi iнформацiйно-енергетичнi технологiї. № 2 : 340-347. | uk |
| dc.relation.uri | https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/828 | |
| dc.subject | розподіл задач | uk |
| dc.subject | штучний інтелект | uk |
| dc.subject | зіставлення навичок | uk |
| dc.subject | промпт-інженіринг | uk |
| dc.subject | автоматизація призначення задач | uk |
| dc.subject | task distribution | en |
| dc.subject | artificial intelligence | en |
| dc.subject | skill matching | en |
| dc.subject | prompt engineering | en |
| dc.subject | task assignment automation | en |
| dc.title | Розподіл задач на основі ШІ: порівняння розподілу на основі навичок з традиційними підходами | uk |
| dc.title.alternative | AI-based task distribution: a comparison of skill-based and traditional approaches | en |
| dc.type | Article, professional native edition | |
| dc.type | Article | |
| dc.identifier.udc | 004.4 + 004.9 + 004.8 | |
| dc.relation.references | A Survey on Task Assignment in Crowdsourcing. [Online]. Available: https://www.semanticscholar.org/reader/7e0303fd02a391d68886c5b23fa3833d906ee029. Created 2021. | en |
| dc.relation.references | Task Allocation Strategy for Multi Agent: A Review. [Online]. Available: https://www.jncet.org/Manuscripts/Volume-7/Issue-1/Vol-7-issue-1-M-05.pdf. Created 2017. | en |
| dc.relation.references | Workload Distribution for Project Managers: Best Strategies to Balance the Load. [Online]. Available: https://thedigitalprojectmanager.com/project-management/workload-distribution/. Created 2025. | en |
| dc.relation.references | How to build a workforce forecasting process for customer support. [Online]. Available: https://www.assembled.com/blog/how-to-build-a-forecast-for-customer-support. Created 2022. | en |
| dc.relation.references | What Is Task Routing? How to Automate Workflows Smartly. [Online]. Available: https://clickup.com/blog/task-routing/. Created 2025. | en |
| dc.relation.references | Route cases using basic routing rulesets. [Online]. Available: https://learn.microsoft.com/en-us/dynamics365/customer-service/administer/create-rules-automatically-route-cases. Created 2025. | en |
| dc.relation.references | Improving Routing Optimization Algorithms: A Business Rules Based System to Generate Initial Solutions. [Online]. Available: https://arxiv.org/html/2502.00409v2. Created 2025. | en |
| dc.relation.references | Intelligent Task Routing: Assigning the Right Labelers to the Right Jobs. [Online]. Available: https://keylabs.ai/blog/intelligent-task-routing-assigning-the-right-labelers-to-the-right-jobs/. Created 2025. | en |
| dc.relation.references | Why is machine learning so expensive at scale? [Online]. Available: https://www.quora.com/Why-is-machine-learning-so-expensive-at-scale. Created 2020. | en |
| dc.relation.references | The next frontier of customer engagement: AI-enabled customer service. [Online]. Available: https://www.mckinsey.com/capabilities/operations/our-insights/the-next-frontier-of-customer-engagement-ai-enabled-customer-service. Created 2023. | en |
| dc.relation.references | TaDaa: real time Ticket Assignment Deep learning Auto Advisor for customer support, help desk, and issue ticketing systems. [Online]. Available: https://arxiv.org/pdf/2207.11187. Created 2022. | en |
| dc.relation.references | A Survey on Task Assignment in Crowdsourcing. [Online]. Available: https://arxiv.org/pdf/2111.08501. Created 2021. | en |
| dc.relation.references | Distributed Task Allocation for Multi-Agent Systems: A Submodular Optimization Approach. [Online]. Available: https://arxiv.org/pdf/2412.02146. Created 2024. | en |
| dc.relation.references | Build, deploy, and manage AI agents at scale. [Online]. Available: https://www.salesforce.com/agentforce/. Created 2025. | en |
| dc.relation.references | How the Atlas Reasoning Engine Powers Agentforce. [Online]. Available: https://www.salesforce.com/agentforce/what-is-a-reasoning-engine/atlas/. Created 2025. | en |
| dc.relation.references | Manual Testing - Software Testing. [Online]. Available: https://www.geeksforgeeks.org/software-testing/software-testing-manual-testing/. Created 2025. | en |
| dc.relation.references | How to Use Salesforce Prompt Builder Successfully. [Online]. Available: https://marcloudconsulting.com/agentforce/salesforce-prompt-builder/#testing-in-prompt-builder. Created 2025. | en |
| dc.relation.references | Overview on Software Test Estimation Techniques. [Online]. Available: https://jsaer.com/download/vol-6-iss-11-2019/JSAER2019-6-11-300-304.pdf. Created 2019. | en |
| dc.relation.references | Prompt Builder Limits. [Online]. Available: https://help.salesforce.com/s/articleView?id=ai.prompt_builder_limits.htm&type=5. Created 2025. | en |
| dc.relation.references | Salesforce Apex Best Practices. [Online]. Available: https://www.salesforceben.com/12-salesforce-apex-best-practices/. Created 2022. | en |
| dc.relation.references | Promoting From Within: A Guide for Internal Mobility. [Online]. Available: https://www.indeed.com/hire/c/info/promoting-from-within. Created 2025. | en |
| dc.relation.references | Employee Promotion: Key Factors to Consider and Why It Matters. [Online]. Available: https://tietalent.com/en/blog/212/employee-promotion-key-factors-to-consider-and-why-it-matters. Created 2025. | en |
| dc.relation.references | How important is customer feedback in deciding what product features you should build? [Online]. Available: https://www.quora.com/How-important-is-customer-feedback-in-deciding-what-product-features-you-should-build. Created: 2023. | en |
| dc.relation.references | Why Product Reviews Matter More Than Ever in 2025. [Online]. Available: https://www.yotpo.com/blog/why-product-reviews-matter/. Created: 2025. | en |
| dc.identifier.doi | https://doi.org/10.31649/1681-7893-2025-50-2-340-347 | |
