Two stage stochastic programming

回答済み

Asrat Mekonnen Gobachew

2022年12月13日 14:32 編集済み

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I am solving a three-tier supply chain network optimization.  I want to use a two-stage stochastic programming approach, in the first stage, I want to decide the location of warehouses, and in the second stage the amount of flow in the network and the link among the tiers. The only uncertainty I am considering is product demand from the last tier. I am just trying to handle the uncertainty in demand in a few scenarios (4 scenarios including the base model). Can someone please help me how to code this in python?

I was able to solve all scenarios, but in all scenarios the location of facilities is different. I want to make the location of the facilities to be the same in all scenarios.

For example, for scenario 1 I stated this. Here in this code I wanted to add the plant location binary variable is the same as the base model. How can I add that?

d[i,k] - is the demand of product i at customer k.

Thank you.

関連

• Stochastic

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  Simranjit Kaur

  • Gurobi Staff

  2023年04月28日 05:06

  Hi Asrat,

  You may find the example of a two-stage stochastic model implemented in Gurobi given here useful.

  Regards,

  Simran

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