Global sourcing & distribution practices are creating large and complex logistics networks. Consequently, long distance product movements and inter-related shipment flows are resulting in high energy costs and increased CO2 emissions. On the other hand in the name of expediting orders or just-in-time (JIT) practices, multiple direct and repeated small shipments are adding to traffic congestion, further aggravating fuel costs and CHG emissions. Besides, emissions per mile also increase with the level of congestion as vehicles move at unproductive speeds. In this way, most of the companies have become liable for increased carbon footprints in the environment.
Studies
have shown that, supply chain network optimization can cut cost by eleven
percent and reduce CO2 emissions by ten percent. A well designed supply chain network with an
aim to reduce length of product movements can minimize both costs and
environmental impacts. As a result, shipping
distances shrink lowering fuel consumption, distribution costs and carbon emissions.
Further, supply chain risks such as
volatile fuel prices and long lead times will lessen. Therefore, network
optimization should be the key strategic objective to realize additional cost and
green benefits.
Best
network-related decisions regarding facility locations and flows should be made
using scientific and advanced network design methods. While network optimization
is one way to protect environment, companies also can rethink their supply or
sourcing strategies. Shifting to local sourcing
though increases material cost, product movement can be curtailed considerably.
Additional costs due to local sourcing can be easily offset through savings in shipping
and distribution.