Supply Chain Capacity Modelling

Stay ahead of the game with prototypes to maximise capacity.

Every organisation is different, but that doesn’t mean that you should be going into the future blind.

By building models from your existing data it is possible to forecast a whole host of different scenarios, better predicting future supply chain capacity requirements and allowing you to prepare for the unexpected.

Looking at historic occurrences, and combining with the best and worst case outcomes, scenarios can be tested in a digital environment and help establish new rules and ways of working.

Supply Chain Simulation

Modelling can’t change what’s around the corner, but it can help you better predict and prepare for it.

Simulating risk.

If the last couple of decades have been defined by ‘lean’ and ‘just-in-time’ supply chains, the 2020s will no doubt be dominated by ‘supply chain risk‘ mitigation. In the wake of an ever complex world, the ability to stress test your supply chains, as well as model for worst case scenarios, can be a valuable business exercise.

Logistics decisions are invariably trade-trade offs. Serving customers to the best of your ability while also trying to minimise unnecessary costs is a constant balance, and can leave supply chains missing out on the best of both. If your noticing vehicles that are half full, stores that are requesting additional stock, or vehicles that are taking excessive routes, modelling could help bridge the gap to a smart solution.

Where we can help:

  • You have processes you don’t fully understand.
  • You have data you are not fully leveraging.
  • You want to understand your supply chain trade-offs.
  • You have a complex problem with multiple unpredictable variables.

A chance to ask ‘what if?’

In the grand scale of business, modelling is amazingly inexpensive. This means it offers a great opportunity to ask those ‘what if questions’ that have always played on your mind. Do you have too much safety stock, or not enough? Are sending half empty cargos better than sending none at all? If processes were changed and different rules set, would the outcome be positive or negative?

Prototyping is your chance to test these scenarios on a digital model of your supply chain. Our combination of expert consultants and custom tools allow us to unpick the history of your business. Building up the full picture of what happened in the past by processing large quantities of system data, ensuring that it is fully understood. Once the data is processed, the questions have been posed, and the scenarios have been run, we have the experience to translate the output into a set of actionable outcomes for your business.

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Understand costs, maximise capacity, and develop sustainable ways of working.

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