The computerized staffing platform includes a staffing server with a processor configured to store data indicating available shifts from third-party businesses and data indicating employees of the platform registered to fulfill the available shifts. The processor is configured to receive a request from a particular business to fulfill a target available shift, and determine candidate employees to fulfill the target available shift. The processor is configured to compute a predicted labor burden associated with hiring each candidate employee for the target available shift, including whether the candidate employee has exceeded an income threshold after which a labor burden factor no longer applies. The processor is further configured to send, to the particular business, a list of the candidate employees and the predicted labor burden for each candidate employee, receive a selection of a candidate employee, and send, to the selected candidate employee, an offer to fulfill the available target shift.

Computer-implemented systems and methods for the sale of consumer services. Predictions are made based on the behaviors, preferences, assets, identifying characteristics, and other attributes associated with customers and merchants. In one implementation, a prediction is made as to whether a customer is likely to request a service and whether a merchant is likely to be selected by the customer to provide the service. In another implementation, the calendars of a merchant and customer are automatically updated to account for the customer's late arrival to an appointment at the merchants location. In yet another implementation, a customer purchases an appointment for a service from another customer that has the appointment scheduled with a merchant providing the service.

Embodiments include a system, method, and a computer program product for notifying a technician when a repair task the technician is addressing may be negatively impacted by a nearby fault and/or if the technician is qualified to repair a nearby fault. The technician is qualified if the technician has the necessary skills, parts (e.g., materials), and/or equipment (test equipment) required to repair the nearby fault. In addition, embodiments include receiving and responding to queries from a technician to: determine whether any of the repair tasks associated with the technician's assigned tickets are futile tasks based on newly received faults or pending tickets; and determine whether the querying technician is qualified to address (e.g., repair) any newly received faults or pending tickets.

Provided herein are a method and device of crew replanning for high-speed railway typical scenarios, and an electronic device and a computer-readable storage medium. The method includes: building a high-speed railway crew connection network; establishing a model for high-speed railway crew replanning; decomposing the model into a first sub-model for team leaders and a second sub-model for general crew members; and designing a Lagrangian relaxation algorithm to solve the first sub-model and the second sub-model.

Methods, apparatus, and computer program product, the method for determining an executable solution for a problem of scheduling work orders within an organization, comprising: obtaining a sample collection of solutions from a solution space of the problem, wherein the sample collection comprising a plurality of solutions to the problem based on a collection of goals, and wherein the sample collection includes one or more solutions optimizing a subset of the goals, the subset of the goals different from the collection of goals; and in an interactive stage: receiving from a user a collection of actual work orders to be executed; and providing to the user a suggested solution for scheduling the actual work orders, the suggested solution based on one or more solutions from the sample collection, wherein the suggested solution is a practical solution.

According to some embodiments, data is received indicative of a plurality of insurance claims. It may then be automatically determined that a first insurance claim is associated with a first type of insurance and that a second insurance claim is associated with a second type of insurance. The received data associated with the first insurance claim may be analyzed in accordance with first segmentation logic to determine a first segment classification appropriate for the first insurance claim. Similarly, the received data associated with the second insurance claim may be automatically analyzed in accordance with second segmentation logic to determine a second segment classification appropriate for the second insurance claim. Indications of the first and second segment classifications may then be transmitted (e.g., to a load balancing and assignment engine that automatically selects claim handlers for insurance claims).

A computer-implemented method is disclosed. The method comprises calculating a first new rank value in a rank address space for a first issue of a plurality of issues. The rank address space comprises unique, ordered values, and each of the plurality of issues has a rank value in the rank address space. The method further comprises determining whether a length of the first new rank value is greater than or equal to a first rebalancing trigger length. In addition, the method comprises, in response to determining that the length of the first new rank value is greater than or equal to the first rebalancing trigger length, identifying a first delay period that is to elapse before rebalancing the rank address space comprising updating at least one rank value of at least one of the plurality of issues to reduce a possibility of congestion in the rank address space. The method additionally comprises following the first delay period, rebalancing the rank address space.

The global proliferation of high speed communication networks has created unprecedented opportunities for geographically distributed resource interaction. A crowd sourced project management synthesizer provides crowd sourced project management features, as well as resource performance tracking features, to provide efficiencies to the project's implementation.

A computerized-method for trading a scheduled-working-shift, is provided herein. The computerized-method includes operating a trading-shifts module. The module includes: communicating with a computerized-device of a source-agent, to receive a trade-request for a scheduled-working-shift, retrieving adequate target-agents, having a day-off, during the scheduled-working-shift, sorting the adequate target-agents, to yield a sorted-list of target-agents, sending the sorted-list of target-agents to the computerized-device of the source-agent, to be presented via a trading-shift-interface. Upon receiving from the computerized-device of the source-agent, a selection of adequate target-agents from the sorted-list of target-agents, presenting a notification for a trade-request, on each computerized-device of the selected adequate target-agents, receiving a trade-action from each notified adequate target-agents, for the trade request, and sending the trade-action to the computerized-device of the source-agent, to be presented, and receiving a selection of a scheduled-working-shift of a target-agent, from the computerized-device of the source-agent, according to the trade-action and the scheduled-working-shift.

A schedule change apparatus includes a change model creation section, a schedule creation section, a schedule change evaluation indicator creation section, a production simulator, and a control section. The change model creation section creates a change model estimating a portion of the schedule to be changed. The schedule creation section uses the schedule change model to generate proposed schedule changes and generate a proposed alternative schedule. The schedule change evaluation section generates a schedule change evaluation indicator indicating a best value for a proposed schedule change. The production simulator implements simulation with a simulation condition changed on a basis of schedule execution status information and equipment operation status information for the day and calculates values of the schedule change evaluation indicator for the proposed alternative schedule candidate group on a basis of the schedule change evaluation indicator already learned. The control section outputs a proposed schedule change.