A facility plan evaluation device includes a proposed plan receiving unit receiving input of a facility plan including capacities and locations of charging and discharging facilities to be newly arranged in a power system, a prediction unit predicting charge and discharge amounts of the charging and discharging facilities, and demands and power generation amounts of existing facilities, which are facilities already connected in the power system, a power flow calculating unit estimating voltage and current in the power system based on a prediction result of the prediction unit, a determination unit determining whether at least one of deviation of voltage from a proper range and overcurrent occurs based on an estimation result of the power flow calculating unit, and determining whether the facility plan needs to be modified based on a determination result, and a result presenting unit presenting a determination result of the determination unit.

An infrastructure manager for placing workloads for performance across on-demand infrastructure and dedicated infrastructure includes a storage device for storing a performance metrics repository and a processor. The processor identifies a performance metric change event using the performance metrics repository; in response to identifying the performance metric change event: identifies a placed workload of the workloads that is impacted by the performance metric change event; identifies a new placement for the placed workload; makes a determination that a current placement of the placed workload is different from the new placement; and in response to the determination: updates placement of the workload based on the new workload placement.

A method and a system for managing paid time off (PTO) data associated with employees of an employer at a workplace are provided herein. The method may include the following steps: obtaining the PTO data from at least one human resource (HR) database of said workplace; tagging the PTO data, to yield tagged PTO units based on demand and supply of the employees and the workplace; allocating respective values to the tagged PTO units in terms of benefit to the employees and to the employer; applying a cost function to said tagged PTO units, factoring said respective values, to yield an overall benefit for every possible PTO allocation plan, wherein the obtaining, the tagging, the allocating, and the applying are carried out by at least one computer processor. The system may implement the aforementioned method as a software as a service (SaaS) platform.

Methods, devices, and apparatus, including computer programs encoded on computer storage media, for processing an item-picking dispatching request are provided. One of methods includes receiving a dispatching request with respect to item picking; determining a type of the dispatching request; determining, in stored picking resource status information, target picking resource status information corresponding to the type of the dispatching request according to a preset correspondence between types of dispatching requests and picking resource status information, wherein the stored picking resource status information is updated in real time; generating mirror-image information of the target picking resource status information; and generating a dispatching task for item picking based on the mirror-image information of the target picking resource status information.

A hierarchical recursive workflow management platform is a downloadable application presented through a browser or application user interface and stored for use on a personal electronic device. The hierarchical recursive workflow management platform may have a mobile application; and, can have an integrated architecture in which the internal components of the personal electronic device may be able to access a secondary application, local or remotely located on a server containing stored data for implementation. A common user interface screen, providing the user an interface, may access all the functionalities and activities offered by the platform through either the computer, mobile application or the secondary application by accessing the internal components of the personal electronic device to exchange such information, pertinent to the hierarchical recursive workflow management platform. Providing a hierarchical recursive workflow management platform; which manages, tracks, executes and adjust as required; a workflow plan, both horizontally and vertically hierarchical with the capability to apply a recursive dynamic through the conversion of tasks/deliverables (cards) respectively to boards; and furthermore, to re-convert a board comprised of cards back to its original card it was converted from; or, implement a pause status to the card activities associated with a board; as well as, delete a board, comprised of cards. The unique functionalities presented herewith, more closely aligns with efficient workflow management by providing real time visibility and hierarchical permissions to better understand; overall status, progress, needed adjustments and areas of activity where corrective solutions may be required to a workflow activity at all levels.

A processing apparatus according to the present invention includes a screen output unit that generates and outputs an inventory status screen on which an inventory status at each of a plurality of inventory checkpoints in a supply chain is displayed. On the inventory status screen, a plurality of objects respectively corresponding to the plurality of inventory checkpoints are displayed so that an appearance order of the inventory checkpoints in the supply chain can be identified. An image of a container having a size corresponding to an optimal inventory quantity or an optimal inventory value, and an image of a content having a size corresponding to a current inventory quantity or a current inventory value are displayed in the object.

A device may receive customer data, and may identify unique communication channels associated with the customer data. The device may determine, based on the customer data, an optimal order for a Markov chain model, and may determine a model accuracy of the Markov chain model based on the optimal order. The device may transform transitions in the Markov chain model, based on the customer data, to generate transformed transitions, and may process the customer data, with a multi-level indexing model and based on the unique communication channels and the transformed transitions, to generate sparse matrices. The device may determine removal effects and steady state values for the sparse matrices, and may determine attribution weights for the unique communication channels based on the Markov chain model with the optimal order, the removal effects, and the steady state values. The device may perform actions based on the attribution weights.

A system for managing the performance of services. A schedule includes slots for performing services. A referral profile database contains historical data for referral sources of the services. An incoming request module receives on an inquiry date an inquiry from a client to reserve one of the slots in the schedule for performing a requested service, and also receives one of the referral sources referring the client. A scheduling module reserves a scheduled slot among the slots for performing the requested service for the client. An analysis module determines whether the requested service has been performed and, when performed, stores a completion date corresponding thereto. The analysis module calculates a delay between the inquiry date and the completion date. An action module updates the historical data for the one of the referral sources based upon whether the requested services were performed, and based on the delay calculated.

A system for managing construction and maintenance of a facility comprises a server, a database, asset tags, user devices, and administrator devices. The database stores asset records, with the asset records associated with a building asset and comprising information regarding the associated building asset. The asset tag is attached to and associated with a building asset. The user devices interact with the asset tag to identify the associated building asset and to transmit to the server information regarding status, completion, or activity regarding the building asset for recordal in the associated asset record. The administrator devices retrieve from the server information regarding the building assets by accessing the associated asset records and to display the information regarding the building assets on the administrator devices. The server generates a virtual model representing a current state of the facility based on the asset records.

Techniques to generate a digitally optimized schedule for a construction activity to meet a construction objective(s) of a construction project are disclosed. An artificial intelligence system receives a plurality of input data sets that impact the construction project. Each of the plurality of input data sets is processed to achieve the construction objective(s). The artificial intelligence system processes the plurality of input data sets using a respective ensemble of machine learning models. The artificial intelligence system generates machine learning validated intermediate output data sets corresponding to each of the plurality of input data sets. The artificial intelligence system implements a supervisory machine learning model to generate an optimized schedule for the construction activity based on the machine learning validated intermediate output data sets and the construction objective(s).