إدارة الإمداد والإنتاج لمطابخ الفنادق

المكدس التقني (موجز)

• Django & Django REST Framework (multi-tenant design)
• PostgreSQL for relational data
• Redis (streams) and WebSockets for real-time dashboards
• Celery for background jobs (batch orders, stock reconciliation)
• VPS / Nginx + Gunicorn deployment; SSL hardening and database provisioning

ملخص المشروع

Built a full-featured portal for a hotel group (three branches) comprising separate administration and kitchen-staff interfaces. The system converts raw inventory inputs into meal outputs using a dynamic, rule-driven recipe model and automates production calculations based on guest check-in/check-out events.

القدرات الأساسية

• Admin & Staff Portals: distinct UIs for management (menu & recipe configuration, user management) and kitchen staff (ingredient entry, order processing).
• Dynamic recipe builder: compose each meal from components and quantities (e.g., cheese, eggs, milk in grams; beverages and condiments). Recipes are fully configurable and versioned.
• Automatic meal generation: the system translates inventory levels into available meal counts and assigns meals to guests by name, enforcing configurable constraints (such as max meals per guest per day).
• Lifecycle automation: real-time recalculation of available meals on guest check-in / check-out events to keep production and inventory aligned with occupancy.
• Operational dashboards: staff-facing panels for current orders, inventory alerts and shift handovers; admin dashboards for reporting and procurement planning.

النشر والعمليات

Deployed on a VPS with a public IP. Server stack includes Nginx as reverse proxy, Gunicorn for application workers, and a dedicated PostgreSQL instance. SSL was configured and hardened; backup and basic monitoring were set up. Background tasks run via Celery with Redis as broker. Access to admin and staff panels is secured and role-restricted.

الفوائد التشغيلية والتأثير

• Reduced manual effort in production planning by converting raw ingredient data directly into meal counts and ordered outputs.
• Improved procurement accuracy with consolidated supplier orders based on projected consumption.
• Faster kitchen workflows through clear staff dashboards and automated order lists tied to guest reservations.

ملاحظات التنفيذ

قمت بتطوير الـ Backend باستخدام Django، والواجهة الأمامية بـ JavaScript لعرض واجهات مستخدم خفيفة للموظفين، وتجهيز قاعدة بيانات Postgres وبيئة VPS. اكتمل المشروع بالكامل خلال حوالي شهر ونصف.