Comprehensive Fleet Maintenance and Repair Planning System

The objective of this system is to create a total system for fleet maintenance and repair planning. The system receives data related to the fleet and existing vehicles, providing various features such as issuing various alerts related to required services, entering all records related to the maintenance, service, breakdowns, and inspections of the fleet. It defines workflow processes in the maintenance and repair domain and other available features for the user. The system, based on the designed learning system using past service and breakdown records, can estimate and implement effective parameters for the maintenance and repair system.

General Features of the Fleet Maintenance and Repair Planning System:

  •  Management of various system reminders and sending them to available users such as drivers, operators, etc.
  •  Definition of various fleet inspection forms based on existing technical classifications
  •  Ability to define services and reminders for other system components, such as drivers
  •  Operational and cost reports for the fleet (maintenance and repair costs, fuel, insurance, equipment, etc.)
  •  Creation of a comprehensive database related to the maintenance and repair records of all fleet vehicles
  •  Fuel consumption management of the fleet
  •  Management of service workers and parts stores
  •  Management of breakdowns, inspections, and consumables
  •  Ability to estimate parameters affecting the maintenance and repair system based on past records
  •  Ability to connect to other software systems existing in the organization
  •  Use of the maintenance and repair application on the driver’s mobile device

Benefits of Implementing the System:

  • Reduction of overall maintenance and repair costs for the existing fleet
  • Possibility of various reporting from different components of the maintenance and repair system
  • Increased efficiency and availability of the fleet
  • Improvement of services through the observation of designed alarms before the scheduled time
  • Improved performance of the maintenance and repair system through instant access to all relevant data in the system
  • Enhancement of the maintenance and repair system performance using the learning system and estimation of required parameters
  • Improvement of periodic inspections using the inspection system available in the system