Projects Inventory

Functional requirements of Textile Management System with non-functional

Functional Requirements

  1. User Authentication and Authorization
    • Secure Login: Provide secure registration, login, and account management for users with different roles (e.g., managers, inventory staff, production staff).
    • Role-Based Access: Implement role-based access controls to manage permissions based on user roles and responsibilities.
  2. Inventory Management
    • Stock Tracking: Track and manage inventory levels of raw materials, finished goods, and supplies.
    • Advertisement
    • Reorder Alerts: Send alerts and notifications when inventory levels reach predefined thresholds to prompt reordering.
    • Stock Valuation: Calculate and display the value of inventory based on current stock levels and cost prices.
  3. Production Management
    • Production Scheduling: Schedule and manage production runs, including setting up production plans and timelines.
    • Work Order Management: Create and manage work orders for different production processes and track their status.
    • Resource Allocation: Allocate resources such as machines and labor to production orders.
  4. Order Processing
    • Order Entry: Allow customers to place orders for textiles, including specifying product types, quantities, and delivery requirements.
    • Order Tracking: Track the status of customer orders from placement through production to delivery.
    • Order Fulfillment: Manage the picking, packing, and shipping of orders to customers.
  5. Quality Control
    • Inspection and Testing: Implement processes for inspecting and testing textile products to ensure they meet quality standards.
    • Defect Tracking: Record and manage information on product defects and quality issues.
    • Quality Reports: Generate reports on quality control metrics and issues.
  6. Supplier Management
    • Supplier Database: Maintain a database of suppliers, including contact details, product offerings, and performance records.
    • Purchase Orders: Create and manage purchase orders for raw materials and other supplies from suppliers.
    • Supplier Evaluation: Evaluate and track supplier performance based on delivery times, quality, and other criteria.
  7. Sales and Customer Management
    • Customer Database: Maintain a database of customers, including contact information, order history, and preferences.
    • Sales Reporting: Generate sales reports, including sales volume, revenue, and customer segmentation.
    • Customer Support: Provide support tools for managing customer inquiries, complaints, and service requests.
  8. Financial Management
    • Invoicing and Payments: Generate invoices for customer orders and manage payment processing.
    • Expense Tracking: Track and manage expenses related to production, inventory, and operations.
    • Financial Reporting: Generate financial reports, including profit and loss statements, balance sheets, and cash flow statements.
  9. Reporting and Analytics
    • Operational Reports: Generate reports on various operational aspects, such as production efficiency, inventory turnover, and order fulfillment.
    • Data Analytics: Provide tools for analyzing data trends and performance metrics to support decision-making.
  10. Integration with External Systems
    • ERP Integration: Integrate with Enterprise Resource Planning (ERP) systems for seamless data exchange and process coordination.
    • Accounting Software: Integrate with accounting software for financial management and reporting.
  11. User Interface and Experience
    • Dashboard: Provide an intuitive dashboard for users to access key metrics, tasks, and system functionalities.
    • Customizable Views: Allow users to customize their views and access relevant information based on their roles.

Non-Functional Requirements

  1. Performance
    • Efficiency: Ensure the system performs efficiently under varying loads, including high volumes of transactions and data.
    • Response Times: Provide quick response times for user interactions, data processing, and report generation.
  2. Scalability
    • Data Scalability: Scale the system to handle increasing volumes of data, such as inventory records and production orders.
    • User Scalability: Support a growing number of users and concurrent access without performance degradation.
  3. Availability
    • High Availability: Ensure high availability with minimal downtime (e.g., 99.9% uptime) to support continuous operations.
    • Disaster Recovery: Implement disaster recovery and backup solutions to protect data and ensure system continuity.
  4. Security
    • Data Protection: Secure sensitive data, including financial information and customer records, through encryption and access controls.
    • Compliance: Adhere to relevant data protection regulations and standards (e.g., GDPR) to ensure privacy and security.
  5. Usability
    • User Interface: Design a user-friendly and intuitive interface to facilitate ease of use and navigation.
    • Accessibility: Ensure the system is accessible to users with disabilities and provides a consistent experience across devices.
  6. Compatibility
    • Cross-Platform Support: Ensure compatibility with various devices and operating systems, including desktops, tablets, and mobile devices.
    • Browser Compatibility: Support major web browsers to ensure accessibility for all users.
  7. Maintainability
    • Modular Design: Maintain a modular and well-documented codebase to facilitate updates and maintenance.
    • Automated Testing: Implement automated testing and continuous integration practices to ensure system stability.
  8. Reliability
    • Error Handling: Provide robust error handling and recovery mechanisms to minimize system errors and downtime.
    • Monitoring: Implement monitoring tools to detect and address issues proactively.
  9. Compliance
    • Regulatory Compliance: Ensure compliance with relevant industry regulations and standards, including those related to textile manufacturing and labor practices.
    • Quality Standards: Adhere to industry quality standards and best practices.
  10. Efficiency
    • Resource Optimization: Optimize resource usage (e.g., memory, processing power) to ensure efficient operation and cost-effectiveness.
    • Data Processing: Implement efficient data processing and storage practices to handle large volumes of operational data.
Exit mobile version