An allocator tool represents work items in project. Work items may have an associated ID, status, cross-reference to child tasks to be complete before a work item may be complete, a child status of what resource the child is assigned, a sequence ID to indicate in which order a resource is going to work on a work items, and an expectation of how long it will take to do each work item. A calendar aspect of the allocator tool may track when work items are to be performed. Calendar entries may employ formulas/logic/AI to determine whether or not on that date for that work item a resource will be working on a task. Calendar gaps (idle time) may be identified and work items rearranged or reassigned to minimize gaps. Artificial Intelligence may perform calendar gap identification and remediation.

The disclosure belongs to the technical field of furniture processing and system planning, and in particular, to an order grouping and processing method for personalized custom furniture. The implementations of multi-order personalized custom furniture can be processed and produced efficiently through the manners of order sorting into sets, parts marking, parts grouping, parts sorting by order, and parts packaging by order in sequence.

A system and method for en-route business selection and ordering with optimized packaging for food delivery and takeout. The system is a cloud-based network containing an optimization server, portals for restaurants, customers, and drivers to enter their information, a rules library, a label manager, and a food packaging optimization module which determines optimal packaging groupings and configurations based on a multitude of variables associated with the restaurant, customer preferences, and the available menu. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.

The method includes a step of determining a degree of compliancy of the device. Based on said degree of compliancy determining a recommended interval for the next calibration of the respective device and determining a ratio of the recommended interval and the calibration time interval currently applied to this device, reviewing the calibration time intervals based on said ratios and a predetermined set of ratio ranges by: for each device performing a procedure predetermined for the ratio range comprising the ratio determined for the respective device and updating the calibration time interval applied to the respective device, and determining the time schedule providing scheduled calibrations times at which the devices shall be calibrated again based on the updated calibration time intervals determined for each of the devices and performing the next calibrations of the devices according to the scheduled calibration times.

A system and method are disclosed for generating an assortment plan by an assortment planner. The assortment planner stores value metrics for two or more products, each of the products including two or more of attributes. The assortment planner also analyzes the two or more attributes, by generating attribute values for each of the two or more attributes and communicates the attribute values for each of the two or more attributes to a planning engine. The assortment planner also further constructs a product attributes table and a value metrics table, duplicates the attribute values to generate a merged product attributes table including a number of duplicates of the attribute values and generates a binary value table for each of the attribute values, one or more itemsets, and an assortment of products based, at least in part, on the one or more itemsets. Other embodiments are also disclosed.

A method of managing in-service operation of a fleet of aircraft is provided that includes generating a schedule of flights through an air transportation network that includes airports, and that includes direct flight routes or flight connections between the airports. The method includes performing a fleet assignment of the fleet of aircraft to the schedule of flights based on availability metric values for respective aircraft of the fleet of aircraft, and dispatching the fleet of aircraft serve the schedule of flights to according to the fleet assignment. In this regard, performing the fleet assignment includes, for an aircraft of the fleet of aircraft, accessing reliability metric values for parts of the aircraft. Availability scores for the aircraft are determined based on the reliability metric values from respective ones of the data sources, and the availability scores are combined to determine an availability metric value for the aircraft.

Aspects of the disclosure relate to a cognitive automation based compliance management system. A computing platform may receive, via a network, an alert notification indicative of a change to a legal framework applicable to an enterprise organization. Subsequently, the computing platform may, in response to the alert notification, detect a task that may be impacted by the change. Then, the computing platform may, upon detecting the task, identify at least one task parameter associated with the task. Then, the computing platform may compare the at least one task parameter with the change to determine whether the task is impacted by the change. Subsequently, the computing platform may, upon a determination that the task is impacted by the change, recommend, via the network, one or more actions associated with the task.

A computer-implemented method for automating service provider status and reporting during a service visit includes the initial steps of creating a service provider transaction, initiating the transaction, and calculating an estimated completion time of the transaction. The estimated completion time is based on at least one service condition, which may include the availability of servicing tools and components, the availability of service provider employees, the priority status, if any, of the service provider transaction, and the level of difficulty of service provider transaction, among others. Preferably, the service conditions include constant or variable associated values. The completion time is calculated based upon a sum of these values. If an unexpected service need or service delay arises, the service provider transaction status is updated, which includes recalculating the estimated time of completion based on a new service condition that arose from the unexpected need or delay. When the service provider transaction is complete, the customer reviews the transaction, confirms that the service provider transaction is complete, and schedules a service completion event.

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.

Apparatuses and methods of operating the same are described. An apparatus including a display, an input device, and a processing device coupled to the display and the input device. The processing device may send an output to the display. The output may include a graphical object associated with a first step of a user-implemented procedure. The processing device may receive an input from the input device. The input may indicate a progress on an execution of the first step by an operator. The processing device may determine whether the input indicates that the operator has completed the first step. The processing device may determine whether the first step is a final step in the user-implemented procedure. The processing device may identify a second step in the user-implemented procedure when the input indicates that the operator has completed the first step and the first step is not a final step.