Hello, I could use any help in building an Optmodel for cargo loading optimization on C-5 and C-17 aircraft. The following are constraints; the aircraft has a longitudinal center of balance limits, axle weight limits for vehicles, overweight cargo in zones limits and pallets either too tall or too heavy in zones. If the aircraft's cargo is not within the limits than it is penalized with costs. I am trying to build the optmodel that calculates these for a set of shipping data onto multiple aircraft and also is able to sort the shipment so that fewer penalties occur. Does anyone have experience building linear optimization models with binary variables? The C-5 has a maximum allowable cabin load of 150,000lbs during peacetime and the C-17 has 90,000lbs during peacetime. There are 5 penalty fees that I am calculating for data sets of cargo that will be loaded onto multiple C-5s and C-7s. The penalty fees are as follows: Longitudinal Center of Balance (CB) fee: The Center of Balance of an aircraft is where the center of weight distribution is on the aircraft. There are optimal CBs for different amounts of total weights onto the C-5 and C-17. It is penalized with by a specific formula for how far the calculated CB is from the optimal CB range for different total weights of allowable cargo loads. This prevents the plane from being to nose or tail heavy. I can explain this further if you are interested. Axel weights too heavy on vehicle loaded in a zone penalty fee Total cargo weight in a zone too heavy penalty fee Pallet too heavy or to tall penalty fee Ramp fee If the cargo is too close to the ramp and even touches the ramps on the plane usually happens if cargo is not stored correctly with enough space in between. I am trying to calculate these penalty fees in SAS with sample cargo data. I would like to optimize the model with proc optmodel so that planning the storage of cargo in these planes yields the lowest amount of penalties and saves the most money. If you have experience in building these models and are interested in helping I may provide you more information and also give compensation and contribution for your help. Thank you
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