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network planning analysis

  • June 17, 2020
  • 2 replies
  • 116 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!

Best answer by Anonymous

@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

2 replies

Andrew
  • Former AIMMSian
  • 50 replies
  • July 31, 2020

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

 


  • 0 replies
  • Answer
  • August 15, 2020

@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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