Supply chains have always been complex, but now they feel more like navigating a storm that refuses to settle. Geopolitical rifts, natural disasters, labor strikes and erratic demand patterns are the new normal, forcing businesses to make decisions in the face of constant unpredictability. The only way to stay ahead? Adaptive planning. But hidden within this approach is a game-changing concept that often flies under the radar: the difference between single-pass and multi-pass supply chain solves. Understanding this distinction could mean the difference between surviving disruption or thriving in its wake.
A single-pass solve is a traditional approach in supply chain planning that runs a simulation or scenario once demand by demand and produces results based on pre-defined and often outdated assumptions and parameters. This method is typically referred to as a heuristic approach and provides a clear and straightforward outcome compared to optimization techniques but is inherently limited. It assumes the inputs are static and doesn’t account for the range of variables that may shift before the plan can be implemented. While this may work for a certain set of conditions, the hyper-connected and dynamic environments in which the world’s supply chains operate are far from stable and rarely ideal.
The limitations of a single-pass heuristic solve is particularly evident when dealing with complex, dynamic factors such as supply disruptions, demand fluctuations, or changes in lead times. Because the model only processes one set of assumptions, often set at the time of implementation and not well understood, it doesn't explore other potential outcomes that could better inform decision-making and business performance.
A multi-pass solve, on the other hand, introduces a more sophisticated and dynamic approach. Instead of running a scenario once, a multi-pass solve runs multiple iterations, each with slightly varied inputs. These inputs may include changes in demand sorting, forecasts, supplier lead times, production schedules, or sourcing options. This probabilistic modeling generates a range of likely future outcomes, which allows businesses to better understand the supply chain boundary conditions and the extent to which certain events can punish performance.
Here’s why multi-pass solves deliver exceptional value to supply chain planning:
Multi-pass solves play a foundational role in adaptive supply chain planning, where flexibility and responsiveness are paramount. Here’s how:
At the heart of ketteQ’s Adaptive Supply Chain Planning is the patent-pending PolymatiQ™ solver, which leverages multi-pass solves and probabilistic modeling to deliver a full spectrum of possible outcomes. By continuously tuning and adjusting based on real-time data, ketteQ enables businesses to move beyond static planning and embrace a truly adaptive approach. This not only enhances decision-making and reduces risk but also represents a key step toward semi-autonomous planning.
As supply chain complexity continues to increase, the flexibility and foresight provided by multi-pass solves, powered by ketteQ’s PolymatiQ solve, are critical for future-ready organizations. This capability ensures that businesses are prepared for the uncertainties ahead while driving maximum operational and financial performance.
Interested in learning more about how adaptive planning can improve your supply chain? Download The Definitive Guide to Adaptive Planning to explore the potential of ketteQ’s PolymatiQ™ and how it can help your business navigate future uncertainties.