No reliable solutions without simulation!
Based on data from your ERP system, we map value streams and their planning and control processes in a digital twin.
This enables us to empirically simulate the existing situation and a wide range of changes in your inter- and intra-company supply chain in order to identify the need for action and recommend measures.
Analyse, simulate, interpret & optimise
Reduction of inventory
Reduction of inventory in warehouse and production
Delivery ability
Improvement in delivery readiness
Scrapping costs
Saving on scrapping costs
Planning effort
Reduction of planning effort
Special deliveries
Reduction of contractual penalties and special delivieries
Increase in yield
Increased yield and improved delivery service
Economical & realistic
We use the digital twin to simulate potential in the ERP system. This data-driven simulation allows us to outline and run through various scenarios without affecting ongoing operations. Developed measures and their effects can be mapped directly and make unused potential visible and usable: precisely, quickly and risk-free.
Tried and tested & awarded
Our experienced supply chain engineers analyse, simulate, interpret and optimise!
Before we simulate, we take a look at your company and your processes. Of course, we are also ready to put the findings into practice. The potential that we regularly uncover and realize together with our customers is diverse and far-reaching.
In this way, we create data-based transparency, improve the basis for decision-making, eliminate the risk of wrong decisions and thus accelerate the decision-making process.
This type of simulation is our unique selling point and we call it the "Optimisation of the logistics business model using a digital twin".
FAQ – Frequently Asked Questions
What is a digital twin in supply chain management?
A digital twin models a company’s relevant value streams and planning and control processes. Using ERP data, it allows different scenarios to be simulated. This reveals how changes are likely to affect inventory, product availability and logistics costs.
How does supply chain simulation using ERP data work?
We first analyze your processes and available ERP data, including demand, inventory, lead times and planning parameters. This provides the basis for a simulation model of your supply chain. We then compare the current situation with alternative settings and control rules to identify improvement opportunities and recommend suitable measures.
Which changes can be tested using a digital twin?
A digital twin can be used to examine changes to safety stock, lot sizes, material planning methods or stocking strategies. Alternative planning and control concepts can also be assessed. Supply chain simulation indicates the likely effects of different measures and highlights trade-offs between inventory, product availability and costs.
How does simulation support sustainable inventory optimization?
Simulation assesses the inventory needed to achieve the desired service level under the given conditions. We compare different planning parameters and inventory strategies using the digital twin. This allows excess stock and supply risks to be evaluated in detail and helps identify targeted inventory reductions.
Does simulation affect ongoing operations or the ERP system?
Scenarios are tested in a separate simulation model. We use data from your ERP system without directly implementing the proposed changes in ongoing operations. This allows alternatives to be compared before implementation. The reliability of the results depends on data quality, model assumptions and how accurately your processes are represented.
How are simulation results translated into practical improvements?
We interpret the simulation results together with your teams and use them to prioritize measures. These may include adjusted planning parameters, new planning rules or revised inventory strategies. Abels & Kemmner also supports implementation. Metrics covering inventory, product availability and planning effort help assess the actual impact.