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Optimization of Wood Supply: The Forestry Routing Optimization Model.

Cassio A U Monti1, Lucas R Gomide2, Rafael M Oliveira2

  • 1North Carolina State University, Department of Forestry and Environmental Resources, Jordan Hall, 2800 Faucette Dr 3120, 27607, Raleigh, NC, U.S.A.

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The Forestry Routing Optimization Model (FRoM) significantly improves wood logistics by optimizing truck routes and schedules. This model reduces fleet size, eliminates overtime, and cuts transportation costs by nearly 50%.

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Area of Science:

  • Operations Research
  • Logistics Management
  • Forestry Engineering

Background:

  • Wood logistics face challenges with inefficient routing and scheduling.
  • Classical Vehicle Routing Problem (VRP) models do not fully address forestry-specific constraints.
  • Optimizing truck and crane operations is crucial for cost-effective timber transportation.

Purpose of the Study:

  • To introduce the Forestry Routing Optimization Model (FRoM) as an adaptation of the VRP for wood logistics.
  • To develop an integrated model for simple and multiple truck displacements to timber stands.
  • To minimize travel distance, reduce fleet size, eliminate overtime, and decrease half-load trips within a fixed planning horizon.

Main Methods:

  • Formulated FRoM as a single integer mixed linear programming model.
  • Incorporated constraints for crane and truck scheduling, fleet reduction, and overtime elimination.
  • Utilized real-world data from a forestry operation for model validation.

Main Results:

  • Achieved a 72.92% fleet reduction and eliminated overtime.
  • Reduced half-load trips to 3.17% of total routes.
  • Identified operational inefficiencies in crane idleness.
  • Delivered overall logistics cost savings of 49.12%.

Conclusions:

  • FRoM effectively optimizes forestry logistics by integrating routing and scheduling.
  • The model demonstrates significant potential for cost reduction and operational efficiency in timber transportation.
  • FRoM offers a robust solution for complex routing problems in the forestry sector.