Developing planning and intelligent fleet management systems

Machinery costs account for a considerable portion of the mining, industrial, and construction projects. Therefore, the more significant cost-saving and earned value from implementing systematic planning and optimized fleet management would be anticipated. Likewise, fleet management's modern approach, such as discrete event simulation, image processing, computer vision, and sensor fusion, can enhance fleets' operation outputs. It should be noted that various strategies can be taken for effective fleet management regarding the project's type. The required features for effective fleet management for different project types are described as follows.

Mining project

Dispatching systems are the main framework of mining (heavy) equipment management in the mining industry context. Due to dispatching systems, various tasks, e.g., fleet selection, truck-shovel allocation, operators supervising, and exploitation monitoring, can be carried out quickly. Tecnosa empowered standard dispatching systems by discrete event simulation engines and sensor fusion to automatically check and validate the several operation scenarios regarding the production objectives based on the actual operation data. The envisaged objectives of the dispatching systems include but are not limited to:

  • Determining the desired number of heavy equipment regarding the mining process requirement.
  • Heavy equipment tracking
  • Flexible, optimized, and semi real-time truck shovel allocation
  • Offering operational reports
  • Economic evaluation of equipment overhaul or substitution
  • Data storing and documentation
  • Operators' performance monitoring
  • Equipment maintenance planning

Industrial projects

Contrary to the mining projects in which various equipment are employed, in the industrial project, the cranes (both stationary and crawling types) are the most cost-intensive equipment within the industrial project context. Cranes associated operations planning, e.g., lift planning, are the most challenging task in industrial projects like modular construction. Traditionally these sorts of planning were conducted manually through trial and error, which is an error-prone, time-consuming, and onerous task. Modern managerial tools, e.g., computer simulation and optimization algorithms, are employed to address these shortcomings to facilitate operational planning. In this regard, the following outcomes would be expected.

  • Crane selection (regarding the crane capacity, boom size, stationary or crawling, etc.)
  • Crane lease cost management
  • Determining stationary crane optimal location
  • Lift planning
  • Path planning

Construction projects

Various construction equipment can be employed in a wide variety of civil projects. Construction equipment calls for multi-criteria optimization, and integrated planning can fulfill many tasks such as earthmoving, mixing, pumping, leveling, lining, auguring, and lifting. The anticipated goals in this regard can be:

  • Determining and estimating key performance indicators
  • Maintenance planning
  • Assigning equipment to suitable workfaces
  • Optimal location for loading/unloading machines
  • Multi-objective path planning and navigation plan
  • Lease-rent-buy decision economic assessment

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