Abstract: The embodiments provide a system for matching orders with incoming shipments. The system may include a product shipment handler configured to receive product shipment information specifying incoming products, a product order handler configured to receive product order information specifying a plurality of product orders and input parameter information associated with each product order, a job dispatcher configured to create a plurality of jobs based on the product shipment information and the product order information, a modeling tool configured to model each job as a separate constrained linear optimization problem, and a linear solver configured to solve each constrained linear optimization problem based on the input parameter information and the product shipment information including generating a delivery plan for each product order within a respective job that matches at least one incoming product with a corresponding product order over a period of time.

Abstract: Methods and systems are provided for processing one or more bills of a biller. Methods and systems may present a request to pay one or more of a set of one or more bills in total or in part on a site of a computer network, A selection of the one or more bills from a customer may be received, said selection responding to said request via said site. Method and system may generate an electronic advice of settlement of the selected bills comprising an ID, and present the electronic advice of settlement and/or the ID to the customer or to a payment service provider.

Abstract: In one embodiment the present invention includes a computer-implemented method comprising receiving a first query in a local computer system to access data stored on a remote computer system the local computer system. Data elements of the remote data are associated with data elements of the local data. The query is transformed into multiple queries. A second query is sent to the remote computer system to retrieve remote data. A first data result is received and stored on the local computer system and incorporated into a third query. The third query is executed against the local data and the first data result to produce a result. Sensitive data may be stored locally in a dimension table of a star schema and non-sensitive data may be stored remotely in a fact table and another dimension table of the star schema, for example.

Abstract: The invention provides methods and apparatus, including computer program products, for of determining a possible lot size of units with respect to a fixed date for a chain of at least two process steps, each process step requiring a respective assigned resource, and consuming a respective time per unit for being performed by the respective assigned resource, where the process steps are sequentially dependent on each other. This is achieved by the following: (a) determining, for each resource, a respective time interval of availability during which the respective resource is continuously available, each time interval being limited by the fixed date, (b) calculating, for each determined time interval of availability, a respective largest possible number of times the respective process step can be performed by the respective resource, and (c) selecting the lot size of units to the minimum of the largest possible numbers.

Abstract: Database partition monitoring and dynamic logical partition reconfiguration in support of an autonomic self-tunable database management system are provided by an automated monitor that monitors one or more resource parameters in a logical partition running a database application in a logically partitioned data processing host. The monitor initiates dynamic logical partition reconfiguration in the event that the parameters vary from predetermined parameter values. In particular, the monitor can initiate removal of resources if one of the resource parameters is being underutilized and initiate addition of resources if one of the resource parameters is being overutilized. The monitor can also calculate an amount of resources to be removed or added. The monitor can interact directly with a dynamic logical partition reconfiguration function of the data processing host or it can utilize an intelligent intermediary that listens for a partition reconfiguration suggestion from the monitor.