Clients

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Clients

Case Studies

Distribution Network Modelling

Client: Government Defence Organisation


Background

Our client conducted a high level impact assessment of collapsing 24 wholesale storage sites into seven nominated To Be wholesale sites. GRA was asked to perform a more detailed analysis of both the inventory and distribution costs associated with the proposed To Be storage and distribution network in order to confirm the associated costs and/or savings.

Challenge

The project challenges included:

  • accessibility quality and volume of data (millions of records)
  • very low usage/consumption rates
  • developing and agreeing the stocking policies of the To Be networks being modelled
  • developing necessary assumptions where neither data nor policy existed
  • assessing the feasibility of the To Be network

Approach

GRA conducted an inventory analysis with the advanced planning system GAINS (General Adaptive Inventory System) and a leading Supply Chain Network Optimisation toolset.

  • Optimisation of inventory holdings for each item in each location to meet service level targets at the lowest cost

GRA performed a Baseline Cost Analysis on the current distribution network.
The future physical distribution network model has been built to estimate savings benefits including:

  • balanced inventory levels
  • other means of transports

Outcome

  • inventory reduction of approximately $20m in the To Be network.
  • excess inventory reduction opportunity of greater than $100m (both As Is and To Be network)
  • To Be distribution costs increased by $2.26m i.e. by less than 10% of the As Is distribution costs (the warehousing cost reduction were not in the scope of this analysis)

Typical Benefits
  • increased service levels up to 99.9%
  • 20-40% inventory reduction
  • the ability to fund business initiatives from operating cash flow (OCF) improvements
  • improved return on capital employed (ROCE)
  • improved debt to equity ratios
  • 10-15% reduction in supply chain costs & improved operating efficiencies
  • a minimum 3:1 ROI for work undertaken (10:1 to 30:1 typical)