Fast Ramp-Up: Transparency and Supply Chain Simulation

Fast Ramp-Up: Economic Recovery after Corona

Forecast and Foresight in the Economic Recovery with its Complex Supply Chains

The pandemic had a huge impact on the German export-oriented economy with its complex supply chains existing in the manufacturing industry such as the automotive industry. It is of great interest for the entire economy and for the survival of small and medium sized business, to perform the Ramp-Up, or in other words the economic recovery, with its complex supply chains in a fast way but also with forecast and foresight. It is of great importance to bring asynchronous, time shifted supply chain states back into a balanced cycle and synchronize them. Uncontrolled aroused stocks, due to production stops and shortages in material availability in regional supply chain routes, have been or still are hampered by the pandemic, have to deal with diverse logistic lead time during the ramp-up.


Strengthen the production with intelligent IT-solutions

As a result of this situation it follows a huge complexity of task statement. In this strained economic situation poor decisions, lack of transparency or missing understanding of correlations can be the course of turbulences in production – or of insolvency in extreme cases. This can be avoided with the help of intelligent IT-solutions, which strengthen production in Germany after corona.


Identify risks and ensure resilience in ramp-up with relevant strategies

In order to maintain transparency, the projects goal is to enable simple simulations of ramp-up scenarios. Internal and external demands of capacity, exact starting points of delivery as well as procedures to synchronize supply chains are becoming accessible by the use of simulations. Risks can be identified and suitable strategies to counteract can be derived. Decision points and measurement parameters to adjust the restart can be tested in advance and therefore ensure resilience in the ramp-up.


Simulation of various ramp-up scenarios with help of the expert tool OTD-NET

In order to master the crisis, solutions for easy-to-create models are required, which take the temporal behaviour and concurrency of a supply chain into account while being also scenario-capable. The approved Fraunhofer tool OTD-NET forms the basis for such evaluation. Within the scope of this project the existing expert tool will be developed by reducing complexity in model building in order to quickly derive essential statements about different ramp-up scenarios. In doing so, planning logics of supply chain management are being considered. OTD-NET can thus be empowered according to the special requirements of the ramp-up and is able to model directly different ramp-up scenarios, especially the asynchronous actual states.

10 Recommendations for a Restart of Production or rather Supply Chain Network

1. Speed and flexibility are highly recommended

2. Collaboration is important - like never before

3. Implement transparency into your supply chain

4. Outline an image of your current supply chain state

5. Stay up-to-date

6. Clarify the demand situation

7. Identify critical paths

8. Reconcile demands and capacities

9. Support your collaborators

10. Be flexible within your ramp-up-planning

Whitepaper: FAST RAMP-UP

Recovery Management after Disruptive Pandemic Incidents

Fast Ramp-Up - We know how
© Fraunhofer IML

Since the start of 2020 the Covid-19-pandemy is keeping the world busy. The time-delayed waves around the globe lead to economic standstills due to the necessary lock-downs.

Within this research project - funded with own resources of Fraunhofer Gesellschaft as a contribution to overcome economic impact of the corona pandemic - the Supply Chain Engineering department created a Whitepaper. This whitepaper contains the pandemic challenges as well as suitable recommendations for action in order for a recovering economy. As an advising tool for relevant, but short-term decisions, the simulation provides a suitable opportunity for a realistic representation of the supply chain and the effects of changes in the supply chain. Relevant use cases in the context of the pandemic are listed and the implications are explained, including time-dependent interactions for the evaluation and planning of restart scenarios.