Abstract: Systems and methods for providing instructions for loading objects into a storage space and for generating an optimized list of vehicles. The methods include generating a list of objects including receiving an object characteristic, retrieving an object based on the object characteristic, and receiving a selection of a retrieved object. The methods further include retrieving dimensional data associated with objects and retrieving dimensional data associated with a storage space of a vehicle.

Abstract: A method for balancing competing attributes in a multi-attribute design optimization, which receives attributes and a set of input variables as inputs, and incorporates the variation of the input variables, is disclosed. The method receives transfer functions for the performance as a function of the input variables and for the customer assessment of the performance attributes. A preference function is constructed for each of a plurality of attributes to be balanced, the preference function defining a preferred outcome for a given set of inputs. The preference functions associated with each attribute are aggregated to define an aggregated preference function, thereby integrating the attributes. Optimal values are calculated for the set of input variables that optimize the aggregated preference function.