In a method of group control and management among electronic devices, wherein the electronic devices is in communication with a control device, a projectable space instance is provided for the control device to create a workspace, wherein a control and management tool and a plurality of unified tools for driving respective electronic devices are selectively added to the projectable space instance. The projectable space instance is then parsed with a projector by the control device to automatically generate a projected workspace corresponding to the workspace to be created via the projectable space instance. The control and management tool realizes at least one status information of at least a first one of the electronic devices by way of the unified tools, and controls at least a second one of the electronic devices to execute at least one task corresponding to the at least one status information.

An asset management method for a substation in accordance with an example embodiment of the present invention comprises steps of: generating integrity of each element of the substation based on state data and real-time monitoring data of the each element of the substation; classifying grade of the each element of the substation depending on the generated integrity thereof, and matching the each element of the substation with one of life models for each classified grade; specifying a candidate element subject to maintenance in a certain order of priority, assessing system reliability index and economic feasibility, and selecting a maintenance scenario for the each candidate element subject to maintenance; and executing maintenance by using the selected maintenance scenario, and updating assessment of the integrity of the each element of the substation as a result of the maintenance executed.

A schedule data creation device creates schedule data that define an execution schedule for executing a plurality of jobs of different job types in chronological order. An input/output unit acquires table data in which the schedule conditions are described in tabular format for each combination of the job types, and acquires request data that specify a plurality of jobs for which the schedule data are to be created. A schedule data creation device arranges a plurality of jobs in chronological order based on the table data such that each of the jobs specified in the request data meets the schedule conditions to create the schedule data. The input/output unit outputs the schedule data and the table data.

An information processing device determines, based on location information of a plurality of delivery destinations for package delivery: one or a plurality of first delivery destinations for package delivery by a vehicle; and one or a plurality of second delivery destinations for package delivery by a drone mounted on the vehicle. In addition, the information processing device determines: a travel route including a route for the vehicle to perform package delivery to the one or plurality of first delivery destinations; a first point on the travel route for the drone to start flying from the vehicle to the one or plurality of second delivery destinations; and a second point on the travel route for the drone to return to the vehicle.

To provide a work sequence capable of suppressing reduction of an evaluation value within an allowable range. A work sequence generation apparatus including a processor that executes a program and a storage device that stores therein the program, and generating a work sequence specifying an order of working on a processing object group performs a perturbation process of generating a second work sequence by perturbating a first work sequence, and a learning process of generating a learning model for generating a specific work sequence so that a difference from an evaluation value regarding a work in an input work sequence is within an allowable range by learning that a difference between a first evaluation value regarding a work in the first work sequence and a second evaluation value regarding a work in a second work sequence generated in the perturbation process should be within the allowable range.

A system may include a processor and a memory. The memory may include computer-executable code that, when executed by the processor, causes the processor to retrieve a workflow dataset from a database based on a query input associated with an industrial automation device. The workflow dataset may include an instruction associated with one or more operations for the industrial automation device and a virtual object associated with the one or more instructions and the industrial automation device. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a first portion of the workflow dataset to a computing device corresponding to a first instruction. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a second portion of the workflow dataset to the computing device in response to determining that the first instruction is completed.

In an embodiment, a method includes determining a given material to manipulate to achieve a goal state. The goal state can be one or more deformable or granular materials in a particular arrangement. The method further includes, for the given material, determining, a respective outcome for each of a plurality of candidate actions to manipulate the given material. The determining can be performed with a physics-based model, in one embodiment. The method further can include determining a given action of the candidate actions, where the outcome of the given action reaching the goal state is within at least one tolerance. The method further includes, based on a selected action of the given actions, generating a first motion plan for the selected action.

A computer-based method is provided for managing a transaction including provision of a process intelligence engine comprising a workflow aligner and process tool box, receiving deal parameters at the process intelligence engine, defining transaction subjects, each requiring the participation of at least one network partner, where each transaction subject is a requirement for achieving the objective of the transaction, defining, for each transaction subject, a plurality of subject goals to be addressed by a network partner, and defining, for each subject goal at least one action item required for satisfying the subject goal. The subject goals are then sequenced by the workflow aligner by defining prerequisites for at least one subject goal and transaction modules are defined based on the sequencing. During execution of a deal using the method, subject goals are not made available until prerequisite subject goals have been completed.

An example method includes obtaining data associated with a plurality of process workflows, performing an automated workflow analysis of the data at least by (i) evaluating workflow structures to identify at least one similarity between one or more portions of the process workflows, wherein the workflow structures are modeled from the process workflow data and, (ii) responsive to evaluating the workflow structures, clustering, based on the at least one similarity, the portions of the process workflows into at least one common process group that is shared between the process workflows, identifying, based on the at least one common process group shared between the process workflows, at least one process improvement that is associated with at least one of the process workflows, and outputting, by the computing system, a recommendation associated with the at least one process improvement.

Methods, apparatuses, and systems for scheduling tasks to field professionals include: storing, in a database, a plurality of records reflecting characteristics associated with completing a set of technical services, wherein information in each record is derived from historical experience of completing each of the technical services; receiving a request for a new technical service associated with a location; and assigning a field professional to perform the new service having determined from information in the database a likelihood that the field professional will complete the new technical service in a single on-site visit at the location.