Dynamic order planning in warehouse and production

Efficient and fair order management in operations

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In order picking and factory halls, staff and order planning must go hand in hand. This requires optimized control of available resources such as people, goods and machines. The problem: intralogistics processes are highly dynamic, goods do not arrive in the sequence of the order logic, employees are not available or, if available, are not qualified for the order type, required machines are occupied by previous orders. If orders are assigned statically in these cases, this often leads to time inefficiencies and uneven workloads for employees.

Consistent and on-time order distribution with mathematical precision

Our solution offers optimized staff and order planning through mathematically exact procedures that take both efficiency and fairness into account. With this solution, customers can rely on an even workload distribution and on-time processing of orders. Our process enables:

  • Successive order allocations without manual planning effort
  • More flexibility and optimization potential through dynamic rescheduling
  • Integration of strict factors such as staff qualifications, order due dates, shift and break times
  • Consideration of soft factors such as fairness and staff preferences
  • Implementation of customer specifics such as individual processes and requirements in the warehouse

The use of our software improves planning accuracy and optimizes the use of resources and processes, allowing operations to be managed more effectively and cost-efficiently. Modeling as a Mixed-Integer Program (MIP) enables versatile customer-specific adaptations. As a special feature, we apply mathematically exact procedures. This makes it possible to verify the optimum distribution of staff and orders. While standard solutions focus on efficiency, we integrate additional factors to reflect fairness and the needs of employees. This contributes to higher employee satisfaction and productivity.
 

For time-critical order planning in intralogistics and production

Our solution is used in intralogistics and the manufacturing industry. It is particularly relevant for companies with time-critical order planning and resources that need to be planned dynamically and that require specific qualifications for order types. It is ideal for logistics managers, production managers and IT decision-makers in companies of all sizes.
 

Contact us for your individual solution

Would you like to optimize your order distribution? Please contact us for a non-binding consultation.

Planning Puzzle - Your demonstrator for optimal order distribution

© Fraunhofer IIS

The »Planning Puzzle« is a tricky game that uses exciting space missions to illustrate the challenge of complex planning problems. Experience how resources can be used efficiently with the help of mathematical optimization and artificial intelligence.

Try it out for yourself!

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Research focus

Supply Chain AI

We develop modern AI methods to solve complex analysis, forecasting and optimization tasks for processes within and between companies: For more efficiency in the value network through artificial intelligence!