Abstract: Systems, methodologies, media, and other embodiments associated with transportation planning in light of drop trailer arrangements are described. One exemplary computer-implemented method embodiment includes receiving orders that describe items to be delivered to facilities as controlled by order requirements. The method may also include accessing a transportation planning model that includes information concerning shipping modes and carriers by which an order can be delivered to a facility. The transportation planning model may also include data concerning drop trailer arrangements between facilities and the carriers. The method may also include selectively consolidating orders into shipments based on the transportation planning model and the availability of a drop trailer arrangement. The method may also include selectively assigning shipments to loads based on the transportation planning model and the availability of a drop trailer action.

Abstract: A computer, for planning moves of freight automatically receives a plan containing a number of trips to be performed to move freight using vehicles, and partially releases only a portion of the plan for execution instead of releasing the entire plan. The plan portion that is released includes a subset of trips that are selected by the computer from among all trips in the entire plan. Thereafter, the computer simply repeats the just-described acts. Iteratively releasing portions of a plan allows the computer to be instructed to release early certain trips that are satisfactory. Trips that are sub-optimal are re-generated in a next version of the plan, based on changes in orders in the interim. The computer may also be instructed to release a trip even if sub-optimal, if its time-to-departure becomes less than an advance notice needed by a truckload service that is to execute the trip.

Abstract: A computer, for planning moves of freight using vehicles, determines one or more attributes of a mission, based on a group of shipments being consolidated into the mission, computes a total amount of freight to be moved, and decides on feasibility of performing the mission, using a vehicle of a given type based at least on each of (A) the amount of freight, (B) one or more attributes of the mission, and (C) multiple effective capacities of freight moveable by the type of vehicle being selected, which depend on the mission attribute(s). Multiple effective capacities for each vehicle type, and corresponding values of mission attribute(s) at which they are to be applied are stored in the computer ahead of time, based on industry experience. Examples of mission attribute(s) include (1) number of stops, (2) type of stops (whether pooling or not), and (3) a combination thereof.

Abstract: A computer, for planning moves of freight automatically adds one or more layover(s) to a mission. Next, the computer determines one or more charge(s) for the layovers, using carriers' rules. Thereafter, the computer uses the charge(s) in deciding whether to include the mission in a transportation plan to be executed. In some embodiments, the computer automatically maintains, for the given mission, counts of attributes on which limits are imposed by a government or by carriers, such as driving time, on-duty time, and driving distance, and when any count exceeds a corresponding limit in the midst of a driving activity, the computer automatically divides up the current driving activity into a truncated driving activity and a remainder driving activity, separated by a layover activity. The computer also determines an estimated time of arrival, including the impact of required layovers, to reach destination(s), and whether layover(s) is/are required at the destination(s), e.g.

Abstract: Systems, methodologies, media, and other embodiments associated with manipulating a transportation plan based on system assisted exception resolutions are described. One exemplary computer-implemented method embodiment includes accessing transportation orders and an actionable plan of loads. The method may also include identifying planning exceptions, identifying candidate planning actions for resolving the exceptions, and providing data concerning the impact that resolving the exception using the candidate planning action will have.

Abstract: Systems, methodologies, media, and other embodiments associated with transportation planning with multi-level firming are described. One exemplary computer-implemented method embodiment includes accessing transportation planning elements and a transportation planning model. The method may also include identifying loads that satisfy orders in the transportation planning elements according to constraints in the transportation planning model and then applying multi-level firming designations to transportation planning elements related to the identified loads. The method may also include identifying additional loads based, at least in part, on the multi-level firming designations. The method may output an actionable plan of loads stored, for example, on a computer-readable medium.

Abstract: Systems, methodologies, media, and other embodiments associated with transportation planning in light of drop trailer arrangements are described. One exemplary computer-implemented method embodiment includes receiving orders that describe items to be delivered to facilities as controlled by order requirements. The method may also include accessing a transportation planning model that includes information concerning shipping modes and carriers by which an order can be delivered to a facility. The transportation planning model may also include data concerning drop trailer arrangements between facilities and the carriers. The method may also include selectively consolidating orders into shipments based on the transportation planning model and the availability of a drop trailer arrangement. The method may also include selectively assigning shipments to loads based on the transportation planning model and the availability of a drop trailer action.