Supply chain networks can be incredibly complex, with multiple manufacturing and distribution points — and the location of each node in those networks has a significant effect on everything from profitability to product cost to environmental impact. New research shows that efficient mathematical tools serve almost as well as more computationally demanding optimization models for determining the best places to locate elements in a supply chain, and can provide businesses with the relevant information far more quickly.
Click here for original story, Computational ‘short cuts’ offer fast answers to complex supply chain problems
Source: ScienceDaily