One thing that stood out to me while working on logistics projects was how often organizations know there is room for improvement but are unsure where to start. They may want to expand but do not know the true capacity of their warehouse, or they notice their operation slowing down without understanding the underlying cause. Without clear insight, identifying the right solution can be a challenge. This is where simulation can help by providing valuable insights and supporting better-informed decisions.

Many companies see warehouse automation as the ultmate solution to rising labor costs, fluctuating order volumes and increasing pressure to deliver faster. AGVs, shuttles, AS/RS and automated conveyors (and much more to choose from) promise higher productivity, fewer errors, and leaner operations.

In a world of increasing complexity and tighter margins, making optimal supply chain decisions is critical. Traditional decision-making, relying on manual analyses and intuition, often leads to inefficiencies, excessive costs, and unnecessary complexity. However, modern techniques now place the powerful capabilities of Linear Programming (LP) optimization within reach for virtually all organizations, large or small.