Supply
chain

We specialize in the development of mathematical programming tools and models for the optimization of supply chain design and planning.

Some of the decisions that can be made based on mathematical modeling are the following:
  • Centralization or decentralization of the network based on the flows, cost structure and constraints of the problem.
  • Allocation of flows between nodes for each segment of products and services.
  • Feasibility or convenience of opening/closing point locations and reinforcing nodes.
  • Fleet levels and types of contracting to ensure flows in the network.
  • Selection of transportation modes, fleet levels and types of contracting required.
  • Selection of storage capacities and handling technology.
  • Selection of suitable investments in warehousing and transport capacities.

Through the objective function, the mathematical modeling seeks to minimize the net present value of all capital investments and operating costs over the planning horizon.

Modeling capabilities

01

Operating costs

Modeling of fixed and variable operating costs by material type and overhead.

02

Network design

Representation of a network of connections between nodes, modeling distances, costs and travel times.

03

Demand and flows

Modeling of demand and flows in the network, considering service levels and specific segmentation

04

Operational capacities

Representation of the operational capacity of each distribution center and depot according to the assigned technology.


05

Inventory levels

Consideration of inventory levels and service level for each product segment assigned to a location.

06

Network flows

Computation of primary, secondary and last mile flows, determining movement patterns by segment of materials and services.

07

Cross-docking

Modeling of consolidation and deconsolidation operations allocation in network nodes according to specific volumes and constraints.

08

Handling technologies

Decision on the consolidation
and handling technology to be selected at each node based on volumes, investments and operating costs.


09

Transport modes

Characterization of transport modes in the network. Analysis of capacities, investments and outsourcing options.

10

Fleet sizing

Dimensioning of the required fleet and application of flow restrictions between nodes.

Multi-period models

Development of multi-period models for medium and long term supply chain design problems.

Sensitivity analysis

Development of sensitivity scenarios to demand and cost structure variation in the medium term.

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