Қўқон университети хабарномаси 17-том (2026) · 76-80-беттер

RESEARCH AND DEVELOPMENT OF AN INTELLIGENT CRM FOR FOODSERVICE ENTERPRISES WITH A DIGITAL TWIN FOR OPERATIONS SIMULATION AND OPTIMIZATION

Umarov, Umarxon

Дереккөзден оқу PDF

Аңдатпа

This study presents the research, design, and development of an Intelligent Customer Relationship Management (CRM) platform enhanced with a Digital Twin to support operational simulation and optimization within foodservice enterprises. The system integrates dynamic analytics, workflow monitoring, and data-driven decision support while the Digital Twin replicates operational workflows using agent-based and discrete-event simulation. Evaluation results demonstrate improved throughput, reduced waiting times, and enhanced predictive accuracy across foodservice operations.

CRM, Digital Twin, Foodservice, Operational Optimization, Simulation Modeling, Django, PostgreSQL, Decision Support Systems

Метадеректер дереккөзі: журналдың OAI-PMH архиві · Sindex толық мәтінді сақтамайды, дереккөзге сілтеме береді.

Дәйексөз алу

APA 7
Umarov, Umarxon (2026). RESEARCH AND DEVELOPMENT OF AN INTELLIGENT CRM FOR FOODSERVICE ENTERPRISES WITH A DIGITAL TWIN FOR OPERATIONS SIMULATION AND OPTIMIZATION. Қўқон университети хабарномаси, 17, 76-80.
GOST R 7.0.5
Umarov, Umarxon RESEARCH AND DEVELOPMENT OF AN INTELLIGENT CRM FOR FOODSERVICE ENTERPRISES WITH A DIGITAL TWIN FOR OPERATIONS SIMULATION AND OPTIMIZATION // Қўқон университети хабарномаси. 2026. Т. 17. С. 76-80.
BibTeX
@article{umarxon2026,
  author  = {Umarov, Umarxon},
  title   = {RESEARCH AND DEVELOPMENT OF AN INTELLIGENT CRM FOR FOODSERVICE ENTERPRISES WITH A DIGITAL TWIN FOR OPERATIONS SIMULATION AND OPTIMIZATION},
  journal = {Қўқон университети хабарномаси},
  year    = {2026},
  volume  = {17},
  pages   = {76-80}
}
RIS
TY  - JOUR
AU  - Umarov, Umarxon
TI  - RESEARCH AND DEVELOPMENT OF AN INTELLIGENT CRM FOR FOODSERVICE ENTERPRISES WITH A DIGITAL TWIN FOR OPERATIONS SIMULATION AND OPTIMIZATION
JO  - Қўқон университети хабарномаси
PY  - 2026
VL  - 17
SP  - 76
EP  - 80
ER  -