Logistical Measures

Project outputs

  1. Optimise distribution centre (DC) locations.
  2. Optimise the allocation of customers to DCs
  3. Create new collaborative networks


Quantified estimates of the potential reduction in truck-km, energy and carbon emissions, for the various logistics measures

Collaboration opportunities identified between participating FMCG Companies

% fuel saving

Identified carbon savings from logistics strategies:

  • Backhaul: 10.4%
  • Regional consolidation centres: 18.6%
  • Use of rail and alternate vehicles in conjunction with regional consolidation centres: 23%
  • Logistics clusters: 5.1%
  • Co-loading: 5.2%
  • Urban consolidation centres: 28%
  • Urban consolidation centres with night time deliveries: 29.9%

%CO2e Saving

% Carbon savings for these measures are generally equal to the fuel savings.

Cost of implementation

Barriers to implementation are largely organisational.

Implementation strategy

STARFISH III project aims to operationalise some promising avenues for co-loading and collaboration. Contact a.palmer@hw.ac.uk


  1. Dadhich, P., et al. (2014). Carbon for Money Model: Design and development of a decision-support tool for sustainable road freight operations. 26th Conference of the Nordic Logistics Research Network (NOFOMA) Copenhagen
  2. Dadhich, P., et al. (2015). An analysis of the recent developments in the UK FMCG Distribution Networks. to be presented at 20th International Symposium on Logistics. Bologna