Computer implemented resource allocation model and process to dynamically and optimally schedule an arbitrary number of resources subject to an arbitrary number of constraints in the managed care, health care and/or pharmacy industry
A method of allocating resources includes scheduling jobs from among a plurality of resources of a work-producing system. The work producing system is a pharmacy. The method includes the steps of sorting, in a predetermined order, available resources to be utilized in the pharmacy by a last task assignment, a number of tasks performable, rate per task, and/or cost per hour, and determining one or more queues responsive to the sorting. The method also includes the step of normalizing the queue by dividing a current task queue by an average rate of the available resources for each task in the current task queue. The method also includes the step of assigning the available resources to one or more tasks with a predetermined normalized queue, subject to at least one task constraint.
The present disclosure is directed to a training system comprising at least one real asset having real asset data, a transceiver coupled to the real asset, at least one simulator adapted to simulate an asset; and a bridge coupled between the at least one simulator and the transceiver, whereby training can be carried out using both the at least one real asset and the simulated asset in concert. The bridge uses a piecewise polynomial interpolation algorithm to transform the real asset data into the proper format for use in the simulated environment. The present disclosure is also directed to the real asset-to-simulated environment bridge itself and a method of providing a bridge between at least one real asset and a simulated environment.
Methods and systems are disclosed for assigning multiple technicians to turfs and to skills. One method allows a user to interface with an Integrated Dispatch System and assign multiple technicians to a turf. The turf designates a geographic area within a telecommunications network. The multiple technicians and the turf are displayed via a graphical user interface on a computer. Another method allows the user to assign multiple technicians to a skill. The skill describes a qualification for installing or for repairing elements of the telecommunications network. The multiple technicians and the skill(s) are displayed via the graphical user interface.
Methods and systems are disclosed for enhancing telephone work orders with Global Positioning System information. One method generates a work order for repair of a telecommunications network. A turf is assigned to the work order, and the assigned turf is verified with a wire center. The work order is then dispatched for repair of the telecommunications network.
A resource catalog system comprises a catalog organized as a set of metadata structures representing distributed system resources, language for resource invocation, and a query interpreter and optimizer. Query optimization includes dynamic functional composition by modeling resources according constraints and determining constraint-satisfaction to compose an execution plan. Query optimization may also include dynamic selection and scheduling of resources by combining a resource scheduling with adaptive feedback. The resources may comprise distributed software components, application programs, shell scripts, executables, and services. The resource catalog system accepts queries for operations on distributed resources through a declarative language or a procedural language. A query optimizer derives catalog operators from a query or elsewhere and accesses the system resources according to interpretation of the catalog operators. The optimizer also retrieves information concerning the location and/or physical interfaces of the system resources to fulfill the commands specified by the catalog operators.
