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network planning analysis

  • 17 June 2020
  • 2 replies
  • 84 views

Hi there,

for a project within my studies I would like to do a numeric analysis of several Iterations of randomly generated input data of the customers demand.

Can anyone support me by implementing and running the iterations?

Many thanks in advance!

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Best answer by Gertjan 15 August 2020, 21:38

@AnkeWoest , you can generate data using functions like Demand(i,j,k) := Uniform[10,30]. Each time you run it, a new set of Demand data is generated.

You can also use a parameter as upper and lowerbound. More functions are available; see e.g. https://documentation.aimms.com/functionreference/elementary-computational-operations/distribution-and-combinatoric-functions/index.html

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2 replies

Hi @AnkeWoest 

Did you already take a look at robust optimization or stochastic programming as an alternative?

If this is a project please send it to support@aimms.com and we will get back to you. 

 

Best

 

Userlevel 6

@AnkeWoest , you can generate data using functions like Demand(i,j,k) := Uniform[10,30]. Each time you run it, a new set of Demand data is generated.

You can also use a parameter as upper and lowerbound. More functions are available; see e.g. https://documentation.aimms.com/functionreference/elementary-computational-operations/distribution-and-combinatoric-functions/index.html

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