5 results about "Work package" patented technology

A work package management system and method for serving device assets of multiple clients. The work package management system and method may include one or more work packages that can be accessed by a service agent through an associated data device. The work package management system may be configured to provide work packages that can be applied to a single service agent. The work package management system may be configured to provide work packages based on data device location.

This invention discloses a method, system, and apparatus for decomposing project information management work packages, relating to the field of project information management technology. The method includes: constructing a first tree diagram based on enterprise hierarchical structure data; constructing a second tree diagram based on project organizational structure data; obtaining preset project identifiers and a third tree diagram based on preset project basic information; generating task work packages based on the third tree diagram; assigning preset projects to preset units based on preset identifiers; setting data pools for each level of the third tree diagram; setting tag data for personnel based on preset unit personnel basic information and assigning it to the data pools; configuring corresponding personnel for each node based on the data pools and tag data; configuring task work packages and setting preset permissions for each node; storing data from the third tree diagram into nodes of the first tree diagram, thus completing the dynamic decomposition of task work packages. This invention significantly improves the management efficiency of multi-level enterprises for technological innovation projects.

The application belongs to the technical field of intelligent manufacturing and industrial scheduling, and provides a high-altitude table multi-test task scheduling method based on a clustering algorithm and multi-objective optimization, which comprises the following steps: automatically calculating the exclusive resource demand of each working condition point in a plurality of aero-engine test tasks based on a multi-parameter coupling model; for each task, a plurality of work packages are divided by using a clustering algorithm based on multi-dimensional features containing exclusive resource demand; a multi-objective model of multi-optimization objectives is constructed, and all work packages are jointly sorted globally, wherein the optimization objectives include equipment utilization; finally, under the constraints of resource capacity, test cabin mutual exclusion and task continuity, available test devices and continuous time windows are allocated to each work package to generate an initial scheduling plan. The application effectively improves scheduling efficiency and resource utilization, enhances plan robustness, and is suitable for high-complexity aero-engine test scheduling scenarios.

The present disclosure involves systems, software, and computer implemented methods for data privacy. One example method includes receiving a first request to start a data privacy integration protocol for a first object instance. At least one second request is sent to at least one other service for information regarding which subset of applications of a multiple-application landscape have received a copy of the first object instance. A work package is created for the first object instance and the data privacy integration protocol and is sent to applications in the subset and not sent to landscape applications not in the subset. Work package responses are received from applications in the subset of applications. A data privacy integration protocol result is determined based on the work package responses and is sent in response to the first request to start the data privacy integration protocol.

A system for generating task schedules using an electronic device includes: a processor, the processor comprising neural networks; a memory coupled to the processor; a scheduler coupled to the processor, the scheduler is configured to: receive: a total work database configured to contain items representing work packages; a resources database configured to contain items representing resources required to fulfill items in the work packages; a constraints database configured to contain items representing constraints to fulfilling items in the work packages; and a scheduling objective database configured to designate a prime objective that is to be achieved by the optimum task schedule; provide a trained reinforcement learning engine for optimizing the task schedule based on inputs from the databases; and generate an optimum work package schedule to sequence the work packages using the trained reinforcement learning engine, wherein the optimum work package schedule maximizes the one or more prime objectives.