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Representatively for one of the most challenging tasks in the industry*
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TSP = Travelling-Salesman-Problem
The task: find the shortest route for visiting n different cities
Example: visit all 48 state capital cities of the US main-land
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TSP with 48 cities to visit means
1 * 2 * 3 * 4 * ... * 48 = 48! possibilities to do that
48! = 1.24 * 1061 (that is a 1 with 61 zeros!)
This is more than the world has atoms
And this means a computer would calculate longer than the universe will ever be existing
These problems are therefore called NP-hard
TSPTW = Travelling Salesman Problem with Time Windows
Now we have to visit the different c ities within different time windows
E.g. we have do deliver goods at a specific delivery date
Many problems in the industry can be derived from TSPTW
E.g. order sequencing for make-to-order manufacturer
TSPTW combines an optimization and a scheduling problem
 TSPTW with SuperIntelligence™
So, there is no algorithm hint, which can solve the TSPTW problem analytically and to 100% exactness
The record for solving a TSP problem exactly is by 89.500 cities
The calculation of this 89.500 cities-route took more then 2.000 h
In industry application we can’t wait 2.000 h for a result
SuperIntelligence™ now combines some of the 11 technologies in order to find a pretty good solution within a reasonable timeframe
This combination of technologies run on a massive parallelized hardware in order to accelerate computing time up to real-time
So first the combination of different high-performance algorithms and secondly the parallel execution platform makes to difference to success!
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Example Combination
1. Determine the cost-function
2. Classify the different productions
3. Implement any restrictions, like delivery dates
4. Minimize the cost-function
5. Simulate in order to visualize all-over costs
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The SuperIntelligence™ investment in “order sequencing optimization” has redeemed itself after 8.5 month
 (s. ? Benefit)
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Notes:
* E.g. sequence of production orders can be derived from TSPTW The length of the route is equal to the setup costs between the different production orders = cost-function
The Time Window is the delivery date Additionally the runtime of each order delays the delivery date