Abstract: A system and method are disclosed including a production planner that receives a sales forecast for configurations of an automobile. The production planner also receives constraints associated with an automobile supply chain. The production planner further models configurations and constraints as a production planning problem, solves a production plan for automobiles, and displays an automobile production solution of the production planning problem.

Abstract: A system and method is disclosed for computing optimal inventory targets in bill of materials in a multi-echelon supply chain. The system includes one or more memory units and on or more processing units collectively configured to determine a delay time from at least one second plan level node in an at least second indenture plan level to at least one first plan level node in a first indenture plan level. The one or more memory units and on or more processing units is further collectively configured to determine a delay time from the at least one first plan level node in the first indenture plan level to a finished good.

Abstract: A method for managing plan problems across planning cycles includes accessing a first plan generated in a first planning session of a first planning cycle, identifying one or more first plan problems reflected in the first plan, and storing and persisting plan problem data associated with the one or more first plan problems for access in one or more successive planning cycles. The method includes accessing a second plan generated in a second planning session of a second planning cycle subsequent to the first planning cycle, identifying one or more second plan problems reflected in the second plan, and comparing the one or more first plan problems identified for the first planning cycle with the one or more second plan problems identified for the second planning cycle. The method includes determining whether the second plan problem corresponds to any first plan problem identified for the first planning cycle.

Abstract: Supply chain management is performed by building a user-defined custom application that uses supply chain data. The supply chain data is returned for display and/or use in the custom application based on metadata stored in a database that is arranged to store supply chain data. The metadata specifies a stored procedure that when called based on parameters in a request generated in response to a user selecting a custom application, returns the supply chain data that may be used in whole or in part in the custom application.

Abstract: A system, computer-implemented method, and software for automatically planning and scheduling ocean-going vessels for oil distribution is provided. The scheduling of the vessels is based on a filtered beam search and greedy heuristic. A server can be used for receiving a schedule request and one or more constraints for scheduling one or more vessels from one or more users. An optimization engine can be used for generating a schedule based at least in part on the one or more constraints using a beam search algorithm.

Abstract: A system is disclosed for establishing an interconnection between trading networks. The system receives an access establishment request communicated from a home user subscribed to a home trading network and not subscribed to a foreign trading network, the access establishment request including a request to access a desired application, the desired application associated with the foreign trading network. The system further communicates the access establishment request to a foreign operator computer system and receives an approval of the access establishment request communicated from the foreign operator computer system.

Abstract: A computer-implemented method is provided for aggregating state information associated with a composite business object representing at least one collaboration between business entities. The method includes retrieving the state information for the composite business object from a computer-readable medium and determining a state for the composite business object based on an assigned priority level for a state in a hierarchy of states associated with the composite business object, each state in the hierarchy of states having a corresponding assigned priority level.

Abstract: A system and method is disclosed for providing data staging and loading through a master data management (MDM) system coupled with one or more business entities. The system is operable to invoke batch data loading of data associated with one or more source systems associated with the one or more business entities, into an input staging area. The system is further operable to load the data from the input staging area into a master repository and subsequently load the data from the master repository into an output staging area.

Abstract: A system and method are disclosed including a production planner that receives a sales forecast for configurations of an automobile. The demand planner also receives constraints associated with an automobile supply chain. The demand planner further models configurations and constraints as a mixed integer linear programming problem, determines a production plan for automobiles, and sends instructions to cause automated machinery to retrieve an amount of automobiles equal to a forecasted production level minus a current inventory level and to move the amount of the automobile to an inventory location of the automobile.

Abstract: TPO is an industry-neutral price optimization solution that recommends optimal prices by performing a simultaneous evaluation of all network-wide demand and supply considerations. TPO produces an optimal time-phased price profile designed to achieve the greatest return on inventory. An optimizer technique takes the baseline demand forecasts, competitive intelligence, inventory data, and other related parameters and data representing real-world objects, and determines the optimal prices at which the user will achieve the greatest return on inventory. The optimizer technique can be directed to maximize revenues, profits, or market share. TPO produces a recommended price profile, that can be manipulated in an interactive graphical user interface, and illustrates what price must be charged now, and what prices must be charged later in the booking cycle. Using price sensitive forecasting to estimate how price impacts demand, TPO helps users to maximize revenues, profits, or market share.

Abstract: A system and method is disclosed for solving supply chain planning problems. The system includes a database that stores data representing a planning problem of a supply chain network and a computer that accesses the planning problem of the supply chain network stored in the database and models the planning problem as a network of nodes and edges. The computer further generates a hierarchical linear programming solution of the planning problem and applies advanced heuristics to the generated hierarchical linear programming solution. The computer still further formulates a mixed integer program to generate an optimized global hierarchical solution and stores the generated optimized global hierarchical solution in the database.

Abstract: A system and method are disclosed for returns forecasting for a retail store inventory of one or more supply chain entities. Embodiments include receiving a current state of items in a supply chain network, receiving a sales time series and a returns time series, computing a returns forecast comprising an expected quantity of a particular product to be returned for a future time period using a sales forecast a and a transfer function estimated from the sales time series and the returns time series.

Abstract: A method for filtered peer-to-peer business communication in a distributed computer environment includes accessing offers associated with one or more offerors and requests associated with one or more requestors, each offer and each request including a set of filter components. Filter components of offers are compared with corresponding filter components of requests to determine whether one or more offers match one or more requests. A match is determined between an offer and a request if the filter components of the offer match the corresponding filter components of the request. In response, at least a matching portion of the offer and request is replicated and communicated to both the offeror associated with the offer and the requestor associated with the request to provide filtered peer-to-peer communication between the offeror and requestor.

Abstract: In one embodiment, optimizing inventory includes accessing service level band sets. Each service level band set is associated with a policy group, and includes service level bands. Each service level band of a service level band set has a service level priority with respect to any other service level bands of the same service level band set. An inventory band set is determined for each service level band set. Each inventory band set includes inventory bands, where each inventory band satisfies a corresponding service level band assuming an unconstrained network. Each inventory band of an inventory band set has an inventory priority with respect to any other inventory bands of the same inventory band set. A feasible supply chain plan that satisfies the inventory band sets is generated in order of the inventory priorities until a constrained network is depleted.

Abstract: A request for quote (RFQ) engine (10) includes a data and metrics designer (22) that generates, in response to input from a user, a data and metrics model (42) for an RFQ template using a data and metrics meta-model (32). The RFQ engine (10) also includes a state transition designer (24) that generates, in response to input from the user, a state transition model (44) for the RFQ template using a state transition meta-model (34). Furthermore, the RFQ engine (10) includes a workflow designer (26) that generates, in response to input from the user, a user interface workflow (46) for the RFQ template using a workflow meta-model (36). In addition, the RFQ engine includes an execution engine (40) that executes the RFQ template that includes the data and metrics model (42) generated by the data and metrics designer (22), the state transition model (44) generated by the state transition designer (24), and the user interface workflow (46) generated by the workflow designer (26).

Abstract: A system and method are disclosed for real-time multi-facet interactive planning. The system includes a database that stores data associated with one or more entities. The system further includes a computer having a memory and a processor coupled with the database and configured to receive a facet value modification and modify the facet value based on a new facet value. The computer is further configured to propagate the new facet value to modify another facet value.

Abstract: An electronic commerce system for order acceleration through user document reuse includes one or more document repositories that stores a plurality of user documents. The system also includes a global content directory that includes a plurality of product and document classes organized in a hierarchy where each class categorizes a number of documents and is associated with one or more attributes of the documents categorized in the class. The system further includes a search interface to search the user documents. A security module encrypts the user documents and decrypts the user documents when a buyer has the required permission level. An intelligence module updates one or more sections of the user documents with current information so that a buyer can reuse the user document to accelerate an order.

Abstract: A system and method is disclosed for parallelizing order-by-order planning in a supply chain network. The system includes a database configured to store data describing a demand priority sequence, each demand priority sequence comprising at least one demand of an end-item and data describing the supply chain network comprising a plurality of network components, each network component configured to supply one or more items to satisfy demand. The system further includes a server coupled with the database, the server accesses the data describing the demand priority sequence and accesses the data describing the supply chain network. The server further creates mapping tables for each end-item, generates a dependency map for each end-item, generates a list of demand levels, and generates an order plan of end-items for planning in parallel comprising the orders planned for the demands at each demand level.

Abstract: A system and method is disclosed for incremental planning using a list based heuristic. The system includes a database storing supply chain entity data and a server system coupled with the database. The server system receives demand for one or more end items from one or more of the supply chain entities within a supply chain network and collapses the supply chain network into one or more flowpaths for each of the one or more end items. The server system also sorts the one or more flowpaths based on one or more rules or parameters stored in the database and reduces the one or more flowpaths using constraints stored in the database. The server system further generates a supply chain plan by solving the received demand using a list based heuristic stored in the database and communicates the generated supply chain plan to the one or more supply chain entities.

Abstract: A system and method is disclosed for optimizing supply chain planning problems associated with a supply chain network. The system includes a supply chain planner coupled with one or more supply chain entities. The supply chain planner determines a supply chain plan for managing the flow of one or more items through the supply chain network.