USE OF INTERNET OF THINGS (IOT) TECHNOLOGIES AND CHAT-BOTS IN THE PRODUCTION PROCESS

This thesis explores the implementation of Internet of Things (IoT) technologies and chatbot systems in the production process of a uPVC window manufacturing enterprise. The study provides a detailed breakdown of the production cycle, including profile cutting, reinforcement, frame welding, surface cleaning, hardware installation, glazing, quality control, packaging, and logistics. The research identifies key issues such as lack of real-time monitoring, human error, and delays in raw material tracking and defect management. The proposed solution integrates IoT sensors for equipment condition and welding temperature monitoring, along with chatbots for order tracking, failure alerts, staff reminders, and messenger integration. A functional automation system diagram with digital feedback channels is developed. The conclusions highlight improvements in efficiency, product quality, and transparency across the production process.

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Publication Details

Journal
Scientific and Practical Journal "Materials of Scientific Conferences of the Petro Mohyla Black Sea National University"
Published
2025-05-20
DOI
https://doi.org/10.34132/mspc2025.01.06.28
Primary Topic
Wireless Sensor Networks for Data Analysis
Type
article
Field-Weighted Citation Impact
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article

USE OF INTERNET OF THINGS (IOT) TECHNOLOGIES AND CHAT-BOTS IN THE PRODUCTION PROCESS

Mykola Sidelev, Semen Sychov
Scientific and Practical Journal "Materials of Scientific Conferences of the Petro Mohyla Black Sea National University"
Wireless Sensor Networks for Data Analysis
article

USE OF INTERNET OF THINGS (IOT) TECHNOLOGIES AND CHAT-BOTS IN THE PRODUCTION PROCESS

Mykola Sidelev, Semen Sychov
article en

Abstract

This thesis explores the implementation of Internet of Things (IoT) technologies and chatbot systems in the production process of a uPVC window manufacturing enterprise. The study provides a detailed breakdown of the production cycle, including profile cutting, reinforcement, frame welding, surface cleaning, hardware installation, glazing, quality control, packaging, and logistics. The research identifies key issues such as lack of real-time monitoring, human error, and delays in raw material tracking and defect management. The proposed solution integrates IoT sensors for equipment condition and welding temperature monitoring, along with chatbots for order tracking, failure alerts, staff reminders, and messenger integration. A functional automation system diagram with digital feedback channels is developed. The conclusions highlight improvements in efficiency, product quality, and transparency across the production process.

Scientific and Practical Journal "Materials of Scientific Conferences of the Petro Mohyla Black Sea National University"(1)
Petro Mohyla Black Sea National University (UA)
Openalex Percentile: Top 67%
Wireless Sensor Networks for Data Analysis
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