Roy I. Peterkofsky - San Francisco CA, US Hema Budaraju - Fremont CA, US Mei Yang - Albany CA, US Rongming Sun - Hayward CA, US Mukundan Srinivasan - Foster City CA, US
Assignee:
Oracle International Corp. - Redwood Shores CA
International Classification:
G06Q 10/00 G06F 19/00
US Classification:
705 1, 705 7
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. The method may output an actionable plan of loads stored, for example, on a computer-readable medium.
Scheduling With Layovers And Layover Charge Computation In Transportation Planning
Javier Nicolás Sánchez - San Carlos CA, US Mei Yang - Albany CA, US Rongming Sun - Hayward CA, US Roy I. Peterkofsky - San Francisco CA, US Hema Budaraju - Fremont CA, US
Assignee:
Oracle International Corporation - Redwood Shores CA
International Classification:
G06F 17/30
US Classification:
705 7, 705 8, 705 9, 705 10
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. due to consignee's receiving hours or due to congestion at consignee's dock.
Method And Apparatus For Transportation Planning Based On Mission-Specific Vehicle Capacity Constraints
Roy I. Peterkofsky - San Francisco CA, US Hema Budaraju - Fremont CA, US Mei Yang - Albany CA, US Rongming Sun - Hayward CA, US
Assignee:
Oracle International Corporation - Redwood Shores CA
International Classification:
G06Q 10/00
US Classification:
705 711, 705 712
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.
Transportation Planning With Parallel Optimization
Rongming Sun - Hayward CA, US Mukundan Srinivasan - Foster City CA, US Georges-Henri Moll - Villeneuve-Loubet, FR Vinay Yadappanavar - Redwood City CA, US Mei Yang - Albany CA, US
Assignee:
Oracle International Corporation - Redwood Shores CA
International Classification:
G06F 9/44
US Classification:
705007000
Abstract:
Systems, methodologies, media, and other embodiments associated with parallel optimization in transportation planning are described. One exemplary method embodiment may include selecting, in parallel, candidate loads to satisfy a set of orders, selecting final loads from the candidate loads, and in parallel selectively manipulating the final loads into a transportation plan that reduces a transportation cost.
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