Distribution Center

DCSim

DCSim is a one-of-a-kind tool for improving distribution center logistics. Drawing on the practical expertise of Brazil's Belge Consulting and using the powerful ProModel® simulaton engine, DCSim allows you to assess and analyze key DC management decisions in a realistic environment. Imagine testing your ideas in a virtual DC, risk free.

DCSim is an easy-to-use package with a standardized architecture easily customized to suit your specific distribution facility. This approach reduces the effort of constructing a new simulation model by as much as 70%, when compared to the use of generic modeling software.

What is simulation?

Simulation is a dynamic modeling technology that enables time-based analysis of complex logistics systems on a PC. Using a realistic base model, DCSIM lets you configure and test a variety of scenarios that include variable demand; equipment constraints, downtimes and maintenance; work scheduling and shifts; resource competition, etc.

Results

DCSim has helped innovative distribution professionals achieve the following results:

  • Up to a 40% increase in outbound capacity, made possible through the identification and modification of system bottlenecks;
  • Minimized startup errors in new and modified DCs;
  • Up to a 30% reduction in human resource requirements during peak days;
  • Operational cost reductions of up to 35%.

Avoid damage to rework occurring when a new DC or modified enter into operation.

Benefits | Advantages

  • Dynamic analysis of DC operations;
  • Evaluation of inherent variability;
  • Identification of best layout;
  • Optimal planning of resources / stock areas / docks;
  • Analysis and improvement of methods and procedures;
  • Bottleneck identification;
  • Resource reductions;
  • Increased productivity.

Static analysis with Spreadsheets X Dynamic analysis with simulation:

  Static Analysis Dynamic Analysis
Operation scheduling. Not considered Considered
Simultaneous requisition of the same resource. Not considered Considered
Variability in process times, velocities, demands, downtimes. Not considered Considered
Productivity index (example: pallets/hour when picking or loading pallets in a truck). Input data resulting in errors because the productivity index is a result of several factors, such as: number of resources, process times, vehicle arrivals, departure scheduling, etc. Output data. A result of all constraints cycles, demands, number of resources, etc.

For more information download our presentation: CLICK HERE

Or contact us: dcsim@belge.com.br