About the company
Our customer is a global company in animal nutrition that has multiple factories and serves various markets with a wide range of products for different applications. The market is evolving rapidly. Their IBP process demands for fact-based decision-making based on scenario analysis.
The challenge
The dynamics of the market our customer operates in, ask for scenario thinking, the time windows for decision-making preparation are short and limit the possibilities. Typical scenarios include:
- How to supply if demand in a certain market makes a step change
- How to handle the impact of upcoming legislation limiting feasibility of supply sources
- How and where to extend capacity to deal with sales growth
- How to mitigate supply risk (risk resilience)
- Open/close decisions of production lines and plants
The project
We offered a structured approach to building a decision support model:
- Understanding the supply network and planning logic
- Agile modeling to translate a business problem into mathematics
- Model validation and calibration
- Embedding the functionality in a cloud-based application that enables running a pre-defined set of possible scenarios
- Furthermore, we offered supporting workshops to model/develop scenarios for strategic open/close decisions.
Results
- Fast and accurate what-if analysis with the help of mathematical models
- Gaining insights by understanding, decomposing problems, and understanding the relevant factors
- Agile modeling helps to objectify making trade-offs
- Decisions for the future footprint are taken; implementation projects started.
Demo video of the app we created:
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