Functional requirements of Resource Management System with non-functional

Functional Requirements

  1. Resource Inventory Management
    • Resource Catalog: Maintain a comprehensive catalog of all available resources, including details such as type, quantity, and location.
    • Resource Classification: Categorize resources into types (e.g., human resources, equipment, materials) and subtypes for better management.
    • Resource Status Tracking: Track the current status of each resource (e.g., available, in use, under maintenance).
  2. Resource Allocation
    • Request Management: Allow users to request resources for specific projects or tasks, including defining the type, quantity, and duration.
    • Approval Workflow: Implement an approval process for resource requests, including roles for requestors and approvers.
    • Allocation Scheduling: Schedule and allocate resources based on availability, priority, and request details.
  3. Resource Utilization Tracking
    • Usage Tracking: Monitor and record the usage of resources, including time spent, quantity used, and associated costs.
    • Utilization Reports: Generate reports on resource utilization, including frequency, efficiency, and cost analysis.
  4. Resource Maintenance
    • Maintenance Scheduling: Schedule regular maintenance for resources to ensure they remain in good working condition.
    • Maintenance Records: Maintain records of maintenance activities, including dates, types of maintenance, and outcomes.
    • Alerts and Notifications: Send notifications for upcoming maintenance tasks and overdue maintenance.
  5. Resource Forecasting
    • Demand Forecasting: Predict future resource needs based on historical data, trends, and upcoming projects or events.
    • Capacity Planning: Plan for future resource requirements and manage capacity to meet anticipated demands.
  6. Financial Management
    • Cost Tracking: Track the costs associated with resources, including acquisition, maintenance, and operational costs.
    • Budget Management: Manage budgets for resource allocation and track expenditures against budgeted amounts.
    • Financial Reports: Generate reports on resource-related financials, including cost analysis and budget compliance.
  7. User and Role Management
    • User Accounts: Allow users to create and manage accounts with varying levels of access based on roles (e.g., managers, staff, administrators).
    • Role-Based Access Control: Define and manage roles and permissions to control access to resource management functionalities.
  8. Integration
    • ERP Integration: Integrate with Enterprise Resource Planning (ERP) systems for seamless data exchange and unified resource management.
    • Project Management Tools Integration: Connect with project management tools to align resource allocation with project timelines and requirements.
    • Accounting Systems Integration: Integrate with accounting software to synchronize financial data related to resource management.
  9. Reporting and Analytics
    • Resource Reports: Generate detailed reports on resource allocation, utilization, and status.
    • Performance Metrics: Provide analytics on resource performance, efficiency, and cost-effectiveness.
    • Customizable Dashboards: Allow users to create and view customizable dashboards with key metrics and data visualizations.
  10. Notifications and Alerts
    • Automated Alerts: Send automated alerts for critical events, such as low resource availability, upcoming maintenance, or budget overruns.
    • Communication Channels: Enable communication between users through integrated messaging or notification systems.

Non-Functional Requirements

  1. Performance
    • Response Time: Ensure quick response times for resource requests, data retrieval, and report generation.
    • Scalability: Design the system to handle increasing numbers of resources, users, and transactions without performance degradation.
  2. Reliability
    • Uptime: Aim for high system availability with minimal downtime (e.g., 99.9% uptime).
    • Error Handling: Implement robust error detection and recovery mechanisms to maintain system stability.
  3. Security
    • Data Encryption: Use encryption to protect data during transmission and storage, particularly for sensitive information.
    • Authentication and Authorization: Implement strong authentication mechanisms and strict authorization controls to prevent unauthorized access.
    • Compliance: Ensure compliance with relevant data protection regulations and standards.
  4. Usability
    • User Interface: Design an intuitive and user-friendly interface for ease of navigation by all types of users.
    • Accessibility: Ensure the system is accessible to users with disabilities, complying with standards such as WCAG (Web Content Accessibility Guidelines).
  5. Compatibility
    • Device Compatibility: Ensure the system is accessible across various devices, including desktops, tablets, and smartphones.
    • Browser Compatibility: Support major web browsers to accommodate different user preferences.
  6. Maintainability
    • Code Quality: Develop clean, well-documented code to facilitate maintenance and future updates.
    • Modular Design: Use a modular architecture to allow for easy enhancements and scalability.
  7. Backup and Recovery
    • Data Backup: Implement regular automated backups to prevent data loss and ensure data integrity.
    • Disaster Recovery: Develop and test a disaster recovery plan to restore system functionality in case of major failures.
  8. Support and Documentation
    • Help Desk: Provide support through helpdesk tickets, live chat, or email.
    • Documentation: Offer comprehensive user guides, system manuals, and troubleshooting documentation.
  9. Scalability
    • System Growth: Design the system to accommodate future expansion, including additional features, users, and resources.
    • Load Handling: Ensure the system can manage varying loads and peak usage times effectively.
  10. Data Integrity
    • Accuracy: Ensure that data entered and processed by the system is accurate and consistent.
    • Validation: Implement data validation rules to prevent incorrect or incomplete data entry.

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