A liquid product distribution network includes a liquid product distribution monitoring and reporting apparatus for operation in association with a tap handle flow monitoring and reporting apparatus. The liquid product distribution monitoring and reporting apparatus includes a radio transmitter device and sensing circuitry for sensing and communicating physical properties associating with the keg. A tap handle flow monitoring and reporting apparatus senses flow of a liquid through a tap includes a tap handle radio transmitter device for fitting within and protected by a tap handle and a low-energy consumption tap handle radio/processing module. A mobile communications device with geographic position sensing device and/or said tap handle flow monitoring and reporting apparatus passively and without user interaction within the liquid product distribution network, without using network uplink/gateway circuit devices for sensing and reporting fluid storage, flow, and financial operations relating to the distribution of said liquid product throughout the liquid product distribution network.

Regardless of the production method applied, it is possible for a user to estimate a factor that causes trouble in one of the resources belonging to a resource type. A supporting system refers to management information indicating a production past record of the production system, and displays an overlay chart in which a diagram chart is relatively superimposed on a Gantt chart. The Gantt chart is a chart for a first resource type and has a resource axis and a time axis. The diagram chart is for a second resource type. In the overlay chart, a polygonal line connecting a plurality of points corresponding to a second resource, belonging to the second resource type, is on the Gantt chart, and each point is plotted at a position corresponding to an execution time of a step and a first resource, belonging to the first resource type, related to the step.

The present invention provides a system that comprises a memory and a queue manager that maintains a virtual queue in the memory for a consumable event, the virtual queue defining a current order of a plurality of agents, and summons one or more agents of the plurality of agents to the consumable event, wherein the queue manager is configured to communicate with a plurality of mobile devices, each mobile device of the plurality of mobile devices associated with an agent of the plurality of agents, wherein the queue manager communicates with each mobile device in order to monitor the associated agent, and wherein the queue manager is configured to dynamically determine when to summon one or more agents of the plurality of agents in the virtual queue to the consumable event based on the monitoring of the plurality of agents.

A method and apparatus for controlling a supply chain including a production system. Sensor data is received from a sensor in the production system or elsewhere in the supply chain. The sensor data identifies an event in the production system or elsewhere in the supply chain. Event information for the event is stored in an events blockchain. The event information from the events blockchain is used in a process model simulation of the production system or the supply chain to identify an undesirable condition in the production system or elsewhere in the supply chain. System theoretic process analysis is used to identify a change in the production system or elsewhere in the supply chain to prevent occurrence of the undesirable condition.

The subject matter of this specification can be implemented in, among other things, methods, systems, computer-readable storage medium. A method can include receiving, by a processing device, image data including one or more image frames indicative of a current state of a drive-thru area. The processing device determines a vehicle disposed within the drive-thru area based on the image data. The processing device receives order data with a pending meal order. The processing device determines a first association between the vehicle and the pending meal order based on the image data. The processing devices determine a meal delivery procedure associated with the based on the association between the vehicle and the pending meal order. The processing device performs may perform the meal delivery procedure. The processing device may provide the meal delivery procedure for display on a graphical user interface (GUI).

Provided are a mapping rule updating method, device and system, for timely updating a mapping rule so as to avoid generating a wrong evaluation result. A mapping rule updating method, includes receiving first data generated in a production process; determining a first execution condition of the production process according to the first data based on a mapping rule; generating an evaluation result, the evaluation result being used for indicating whether the first execution condition is in line with a production plan of the production process; acquiring feedback information, the feedback information including indication information for indicating whether the evaluation result is correct; and updating the mapping rule according to the feedback information. As the mapping rule can be automatically updated, the work load of manually configuring the mapping rule is reduced greatly, and the accuracy of the mapping rule and the timeliness of the update is improved.

Scalable order event monitoring and handling is provided. A fulfillment process of an order may be represented by a plurality of events corresponding to state or status changes of items included in the order. Consistent hashing is used to track order events to associate events that are tied to a same order to each other and to ensure associated events are distributed to a same general computing device/cluster for tracking purposes, while allowing parallel storage of order events across multiple separate data stores. Additionally, the order process may be represented as a weighted directed graph, which can help track missing events and order transitions efficiently.

The present disclosure relates to an apparatus and method of altruistic scheduling based on reinforcement learning. An altruistic scheduling apparatus according to an embodiment of the present disclosure includes: an external scheduling agent for determining a basic resource share for each process based on information of a resource management system; an internal scheduling agent for determining a basic resource allocation schedule for each process based on information including the basic resource share and a resource leftover based on the basic resource allocation schedule; and a leftover scheduling agent for determining a leftover resource allocation schedule based on information including the resource leftover. According to an embodiment of the present disclosure, it may be expected that reinforcement learning will not only mitigate the diminution of fairness of an altruistic scheduler but also further improve other performance indicators such as completion time and efficiency.

A system allows a user to create new designs for apparel and preview these designs before manufacture. Software and lasers are used in finishing apparel to produce a desired wear pattern or other design. The system swaps garments in a digital asset to garments that are designed using the system. The wear pattern is created by a laser using a laser input file. Generating the preview image comprises combining first and second contributions to obtain a combined value for a pixel at the pixel location of the preview image.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for executing software on distributed computing systems. In one aspect, a method comprises executing a workflow controller configured to manage a plurality of factory workflows; executing a plurality of extraction workers, each configured to extract data from a plurality of external data sources into plurality of extracted datasets; executing a plurality of intermediate workers, each configured to integrate and/or contextualize the extracted data sets into a plurality of intermediate datasets; and executing a plurality of visualization workers, each configured to use the intermediate datasets to produce an interactive display or a plurality of reports based on the intermediate datasets.