A method, computer program and apparatus is disclosed. The method, performed by one or more processors, may comprise receiving, from one or more predetermined organizations, datasets representing entities and datasets representing one or more tasks for those entities and storing in a database, in accordance with an ontology which is common to the organizations, the received one or more datasets as data objects, the ontology defining properties of data objects and relationships between the data objects. The method may also comprise mapping the data objects stored in the database to the organization from which the one or more datasets were received and receiving, through a querying application, a query from a user of one of the predetermined organizations to view one or more data objects relating to a task. The method may also comprise identifying the organization to which the user is associated, generating, based on the mapping, a view including at least the one or more task data objects associated with the identified organization and not data objects associated with other organizations and displaying the view on a user interface.

A method of predicting crop yield includes generating, via a processor, a plurality of vectors representative of growing conditions for a current time period and a plurality of vectors representative of growing conditions for a previous time period. The processor compares the plurality of vectors for the current time to the vectors of the previous time periods for corresponding growing conditions and determines which previous vectors are closest to the current vectors. The plurality of previous time periods are each associated with crop yields. Thus, the processor can determine a crop yield for the current time period for a selected crop producing field and crop type based on crop yields for the closest previous time periods.

Transaction-enabled systems and methods for royalty apportionment and stacking are disclosed. An example system may include a plurality of royalty generating elements (a royalty stack) each related to a corresponding one or more of a plurality of intellectual property (IP) assets (an aggregate stack of IP). The system may further include a royalty apportionment wrapper to interpret IP licensing terms and apportion royalties to a plurality of owning entities corresponding to the aggregate stack of IP in response to the IP licensing terms and a smart contract wrapper. The smart contract wrapper is configured to access a distributed ledger, interpret an IP description value and IP addition request, to add an IP asset to the aggregate stack of IP, and to adjust the royalty stack.

An enterprise resource planning system. The system comprises an enterprise resource planning (ERP) server operable to implement an enterprise resource planning application configured to be able to process planned data that is input by one or more users via a respective user device of a plurality of user devices. The planned data relates to a plurality of events associated with delivery of a plurality of items within an item distribution network. The system comprises a plurality of marker generation devices. Each marker generation device is operable to generate a plurality of markers that are each associated with a respective item for tracking delivery of that item within the item distribution network. Each marker comprises respective identification data relating to one or more attributes of the item with which is it associated. The system comprises a data collection server operable to communicate with the ERP server via a network, and a plurality of marker readers located at respective item reading locations. The plurality of marker readers are each operable to read the identification data from the markers and send the identification data together with respective measured attribute data to the data collection server via the network. The ERP server is operable to receive actual event data. The actual event data comprises the identification data and respective measured attribute data generated by the plurality of marker readers. The ERP server is operable to generate analytic data for analysis based on the planned data and the actual event data.

The present disclosure describes transaction-enabling systems and methods. A system can include a facility including a core task including a customer relevant output and a controller. The controller may include a facility description circuit to interpret a plurality of historical facility parameter values and corresponding facility outcome values and a facility prediction circuit to operate an adaptive learning system, wherein the adaptive learning system is configured to train a facility production predictor in response to the historical facility parameter values and the corresponding outcome values. The facility description circuit also interprets a plurality of present state facility parameter values, wherein the trained facility production predictor determines a customer contact indicator in response to the plurality of present state facility parameter values and a customer notification circuit provides a notification to a customer in response.

Various embodiments described herein relate to a method and related wearable device and non-transitory machine-readable medium including receiving sensor data from at least one sensor of the wearable device; comparing the sensor data to schedule format stored in a memory of the wearable device, wherein the schedule format specifies at least one characteristic of sensor readings previously associated with a predefined context; determining that the received sensor data matches the schedule format; determining, based on the received sensor data matching the schedule format, that the user is currently in the predefined context; identifying an action associated with the predefined context; and executing the action while the user is in the predefined con text.

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines, each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit to determine an amount of a resource for each of the machines to service the task requirement for each machine, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the forward resource market.

A method and an apparatus and a computer program product are provided that can monitor thermal mass or thermal energy sources available at remotely-located equipment using wired or wirelessly connected sensors. The method may include to receiving measurements captured by one or more sensors coupled to the equipment, the measurements including measurements indicating remaining quantities of thermal mass or thermal energy sources available for use by the equipment, monitoring replenishment events in which the thermal mass or thermal energy sources are resupplied, generating a thermal efficiency and usage or characteristic describing thermal efficiency and a cycle of usage of the thermal mass or thermal energy sources based on historical measurements of thermal efficiency and quantities of thermal mass or thermal energy sources consumed and stored by the equipment and a history of replenishment events, and scheduling one or more replenishment events based on the usage characteristic.

The invention enables a system for generating a daily production plan and assigning the products to be painted for a plurality of Paint Shop production lines.

Embodiments of the present disclosure may include a System for generating a daily production plan and assigning the products to be painted for a plurality of Paint Shop production lines, including inventory data receiving means. Embodiments may also include previous backlog production data receiving means. Embodiments may also include order data means for receiving detail about the products to be painted. Embodiments may also include constraints configuration means for configuration of the constraints of the production system. Embodiments may also include production plan generation means for generating a production plan based on the inventory data (a), the previous backlog production data (b), the order data details (c), and the constraints of the production system (d).

The product optimization tool also includes a system consisting of a user interface for inputting and modifying process settings, as well as a means for generating reports on paint shop performance. The system mainly involves utilizing an objective function to find the optimal production and painting of the products.

Methods and systems for resource allocation using data from a variety of systems are described herein. A plurality of periods of time for using one or more resources may be identified based on a user request. Data indicative of locations of one or more users over one or more time periods may be received. Such data may be from an application other than a calendar application. Anticipated locations of the one or more users may be determined based on the data received. A resource of the one or more resources may be selected based on a distance between the resource and the anticipated locations of the one or more users. Based on detecting a change to the data, a new resource may be selected.