Build Hydrogen Supply Chain Network Model Using AIMMS
Budget: $30 – $250 USD
I'm seeking a seasoned professional with expertise in Buiding Supply Chain Networks using AIMMS. Specifically, I'm facing challenges in calculating the distance between facilities and centers and assigning which is the facilities or centers among initial grid points. This has been a key hurdle in our operations and I believe the right expert could provide guidance on this.
Key tasks will therefore include:
- Build Hydrogen Supply Chain Networks using AIMMS (All input data will be provided, I think building a whole new model will be easier compared to fixing my model), this supply chain includes (as in the image below):
+ Gird points (energy source, facilities, center);
+ Energy source type
+ Production facilities type
+ Hydrogen form
+ Distribution mode
+ Storage facility
- Deadline: 5th May 2024 (I estimate it will only take you 1 day to complete the model if you have experience)
- Wage: 100$ / Deal (Sorry I don't have experience in pricing, please give me your requested price if you think it's not reasonable)
The ideal freelancer will possess:
- A background in using the AIMMS program
I look forward to potential collaboration and driving forward improvements in my model.
Key tasks will therefore include:
- Build Hydrogen Supply Chain Networks using AIMMS (All input data will be provided, I think building a whole new model will be easier compared to fixing my model), this supply chain includes (as in the image below):
+ Gird points (energy source, facilities, center);
+ Energy source type
+ Production facilities type
+ Hydrogen form
+ Distribution mode
+ Storage facility
- Deadline: 5th May 2024 (I estimate it will only take you 1 day to complete the model if you have experience)
- Wage: 100$ / Deal (Sorry I don't have experience in pricing, please give me your requested price if you think it's not reasonable)
The ideal freelancer will possess:
- A background in using the AIMMS program
I look forward to potential collaboration and driving forward improvements in my model.