Supply chain network optimization is a powerful modeling approach proven to deliver significant reductions in total supply chain costs - 10 to 30% in many cases.
However, supply chain optimization is a broad topic with many different use cases and objectives. Understanding the different types of supply chain optimization and when to use them is critical to maximizing their value.
Supply chain network optimization is a mathematical modeling and analysis approach that helps companies determine the optimal structure and configuration of their supply chain network. This includes deciding where to locate facilities, how to allocate production across facilities, how to route products through the network, and how to manage inventory across the network.
Supply chain optimization is important because it helps companies reduce costs, improve service levels, and increase agility. By modeling the supply chain network, companies can identify opportunities to reduce transportation costs, consolidate facilities, improve inventory management, and better align supply with demand.
There are several types of supply chain optimization, including network design optimization, inventory optimization, transportation optimization, and S&OP optimization. Each type of optimization addresses different aspects of the supply chain and can deliver significant value.
Implementing supply chain optimization requires a combination of data, analytics, and organizational capabilities. Companies need to have good data on their supply chain, the right analytical tools, and the organizational processes to act on the insights from the models.
.jpeg)
