Mastering
complex networks
The solution for complex networks
Managing complex networks is challenging – both in production and in distribution. There is often a lack of the necessary transparency to coordinate requirements and capacities in such a way that the availability of goods, delivery times and costs for production, storage and transportation are in an optimal relationship. Another influencing factor is the goal of companies to keep CO2 emissions as low as possible throughout the entire network. As you can see: The challenges of network planning are diverse and the issues are often highly complex.
So how can a network be optimized as a whole to ensure efficiency, availability of goods and sustainability? This is possible with the OPTANO software solution for network optimization. With the help of mathematical decision support and artificial intelligence in user-friendly software, you can identify and leverage hidden potential in your network for the sustainable development of your company’s value.
Networks are complex and cost-intensive. The OPTANO solution for network optimization helps you to master these challenges. We use mathematical decision support and artificial intelligence to find the optimal allocation of requirements, storage locations and transportation options. This allows you to leverage hidden potential and permanently reduce your costs. Get in touch with us!
The OPTANO solution for complex networks
Benefit from simple and user-friendly input options for master and project data in our clear interface with many interfaces and upload options. Individually defined units of measurement and measured variables can be taken into account, as can restrictions and constraints.
Examples of input data
Good preparation turns data into information that offers considerable added value. A wide range of comprehensive analysis options ensure maximum transparency at all levels, right down to material and product level. In this way, complex interdependencies can be uncovered and the various influencing factors within the network can be clearly identified.
Examples of analysis information
Professional reporting is an important basis for good decisions. They are essential to better understand and share information. Our solution offers you the option of creating reports with different levels of abstraction. Benefit from many graphical processing options through interfaces to Excel, Power BI and Tableau.
Reporting examples
The use of what-if scenarios enables decisions to be simulated. Strategic considerations and tactical planning can be examined and compared in different scenarios in order to evaluate their impact on the network and find the optimal solution.
Advantages of the scenario comparison
Long-term decisions require foresight. By optimizing your network at the strategic level, you set the course for future and lasting success – be it in making sustainable investment decisions or implementing different procurement strategies.
Examples of strategic planning issues
Always keep an eye on your network. At the tactical level, you can distribute real and anticipated demand among the available production capacities and thus ensure maximum capacity utilization at consistently low costs. Uncover hidden optimization potential in production and transport and optimize your supply portfolio with a single tool.
Examples of tactical planning issues
A digital representation of the entire distribution network is the basis for optimal goods distribution. It contains all relevant information, such as the capacities and picking times of the warehouses, the transport connections and the individual storage and transport costs. With the help of this information, goods can be distributed quickly and efficiently throughout the network. In the event of unforeseen events, such as priority orders or disruptions, the system can be rescheduled at any time. The planning quality is maintained.
Factors in the distribution network
Planning the “last mile” in particular is very challenging. Many influencing factors make the planning detailed and complicated. By choosing the optimal means of transport, the optimal routes and the optimal utilization of vehicles, you can achieve significant efficiency gains in terms of costs and CO2.
Factors in distribution planning
Transparency in
the entire network
Reduction of CO2 emissions with simultaneous cost efficiency
More resilience
in the overall network
Systematic margin increase across the portfolio
Customizable
functions
Excellent
UI/UX design
Fast
results
Free choice
of solvers
Release Notes
How can we help you?
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We look forward to talking to you!