I have a task of finding the best way of distributing edible oil quantities on several tanks in the factory, around 28 tanks. The oil comes from harbor to the factory by trucks, and it contains the edible oil shipments, there are several constraints that forces the oil distribution to be distributed in particular way, these constraints includes:
1- Tank capacity constraints (each tank can contain specific oil quantities).
2- scheduled/ planned shipment constraint (the up comming planned shipments).
3- Oil type constraints (chemical characteristics of some oil types cannot be placed next to other oil types).
4- Oil type constraint (some tank are for finished oil while other tanks can be for raw oil).
5- Location constraint (raw oil should be placed near refinery, while finished oil should be placed near filling plant)
Some people suggested Operation Research methods for solving this problem, like nonlinear programming, others told me that it can be solved by simulation, I am thinking of Artificial Intelligence. So, what is the best way of solving this problem? and why? what is the similarities and differences for each type? and is there better optimization solution?
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