Abstract: A method includes receiving, from a first device, a first request indicating a client characteristic, generating a second request for content that simulates a data request originating at a client device with the client characteristic, identifying data of a response to the generated second request, and providing, to the first device, a report based on the identified data.

Abstract: The present disclosure involves systems, software, and computer implemented methods for proactively predicting demand based on sparse transaction data. One example method includes receiving a request to predict transaction quantities for a plurality of transaction entities for a future time period. Historical transaction data for the transaction entities is identified for a plurality of categories of transacted items. The plurality of categories are organized using a hierarchy of levels. Multiple levels of the hierarchy are iterated over starting at a lowest level. For each current level in the iteration, features to include in a quantity forecasting model for the current level are identified. The quantity forecasting model is trained using the identified features. Predicted transaction dates are predicted for the current level by a transaction date prediction model. The quantity forecasting model is used to generate predicted quantity information for the current level for the predicted transaction dates.

Abstract: Methods and systems for managing inventory items within a supply chain are disclosed. One method includes receiving, at a software tool, inputs related to a plurality of inventory items, the inputs including a cost of holding each of the plurality of inventory items at a location type. The method includes determining, individually for each inventory item of a plurality of inventory items, an optimal inventory balance across a plurality of locations, wherein the optimal inventory balance is a predetermined statistical availability level set based on a desired customer availability of the inventory item. The method further includes automatically generating one or more inventory adjustment requests to achieve the optimal inventory balance across each of the plurality of locations for each of the plurality of inventory items.

Abstract: Systems and methods for optimizing an online on-demand service are provided. A method may include: obtaining driver information associated with a plurality of historical drivers corresponding to the plurality of historical orders; for each historical driver during a predetermined period of time, determining a plurality of records based on the order information and the driver information according to a decision-making processes, each record includes a driver's space-time status, a driver's action, a driver's revenue, and a driver's subsequent space-time status; and determining a value function based on the plurality of records of each historical driver according to a reinforcement learning algorithm.

Abstract: Systems and methods for determining an optimal delivery location based on delivery address and delivery time are provided. An example method includes receiving an online order from a user application installed on a user device; generating a map comprising a dynamic display of a local service area polygon associated with the online order and transmitting the map to the user application; transmitting to the user application a request for a delivery address; upon receipt of the delivery address, querying the delivery address to determine whether the local service area polygon includes the delivery address; transmitting to the user application a request for a delivery time; upon receipt of the delivery time, automatically recommending an optimal delivery location and time within the local service area polygon based on the delivery address and delivery time; and executing a delivery of the online order based on the optimal delivery location and time.

Abstract: In one general aspect, an interactive event-based information system is disclosed that includes an event-based data store for storing information about events selectively extracted from a plurality of machine-readable information sources. A live feed extraction interface is responsive to the event-based data store and has a feed publication output operative to publish a live feed of selected information about events. A live event feed user interface includes a live feed display interface operative to present a succession of visual information elements corresponding to events covered in the live event feed, and a drill-down interface responsive to user interaction to provide access to further information about the information elements from the data store.

Abstract: Systems, methods, and other embodiments associated with generating a price schedule are described. In one embodiment, for each customer segment of a plurality of customer segments, a per-segment value of an approximate objective function for the customer segment is determined by an optimizer, and a ratio of the per-segment value to a sum of all per-segment values for the customer segments is computed. The inventory quantity is allocated amongst the customer segments according to the ratio for each customer segment to form an inventory quantity for each customer segment. For each customer segment, a promotion portion of the price schedule that maximizes the objective function by the optimizer is determined. A quantity of remaining inventory allocated to the plurality of customer segments at an end of the regular season is aggregated. A markdown portion of the price schedule for the item that maximizes the objective function is determined by the optimizer.

Abstract: Disclosed herein is a cross-dock management system comprises: a plurality of movable platforms configured to hold one or more pallets or parcels; at least one barcode or RFID tag positioned on each of said movable platforms, pallets, or parcels, wherein the barcode readers are configured to read the barcodes and RFID readers are configured to read the RFID tags. The data scanned by the barcode readers and RFID readers is stored in a local warehouse database and is used to determine an optimized placement and load for each movable platform in the warehouse.

Abstract: The disclosed technology includes a controller for a cascade boiler system having both condensing and non-condensing boilers. The controller can receive supply water temperature data and return water temperature data to determine a current temperature differential in the system. The controller can determine a current load demand value using the current temperature differential and a set point temperature. If the current load demand value is less than or equal to a first load demand threshold, the controller can output a control signal for a condensing boiler to transition to a heating mode. If the current load demand value is greater than a second load demand threshold, the controller can output a control signal for a non-condensing boiler to transition to a heating mode.

Abstract: Methods and systems to predict a supply chain performance are described. A system receives supply chain data for delivery of a product. The supply chain data includes input signals comprising operational plans and observed supply chain operational metrics. The input signals include a delivery date of the product. The system automatically generating predicted supply chain operational metrics across including a value at risk that is predicted for the product. The system automatically infers causal factors that impact the predicted supply chain operational metrics including impacting the value at risk that is predicted for the product. The system automatically generates action recommendations for the supply chain. An action recommendation includes a first predicted value impact and a sequence of actions impacting the product the delivery date of the product and the value at risk that is predicted for the product.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for planning a route. A specific embodiment of the method includes: acquiring task information; generating initial route information based on the task information; performing the updating step including: updating the second sequence in the second sequence set based on a preset rule; updating the first sequence in the first sequence set based on the updated second sequence set; and determining a delivery cost of the delivery unit based on the updated first sequence set and the updated second sequence set; and the method further includes: determining, based on the updated first sequence set and the updated second sequence set, a route of the to-be-delivered items delivered from the initial node to the destination node via the intermediate node, in response to the determined delivery cost meeting a preset delivery cost condition.

Abstract: The system and method of the present invention expand/enhance modeling for credit risks scores. The expanded modeling system and methods discussed herein identify new credit risk related attributes using limited and/or unconventional credit data. In an aspect, the system and method enhance performance definitions to capture incremental insight, expanding the applicable consumer segments previously inaccessible.

Abstract: Methods and systems for providing electronic scheduling assistance. One system includes an electronic computing device including an electronic processor. The electronic processor is configured to retrieve a category assigned from a plurality of categories to each of a plurality of participants associated with a calendar event and retrieve a schedule associated with each of the plurality of participants associated with the calendar event. The electronic processor is also configured to aggregate the schedules of each of the plurality of participants assigned to each of the plurality of categories to create an aggregated schedule associated with each of the plurality of categories and generate and output a user interface for display on a display device, the user interface including the aggregated schedule of each of the plurality of categories in separate regions of the user interface.

Abstract: A maintenance interval adjuster and methods for improving accuracy of maintenance scheduling and changing a maintenance interval are presented. Scheduled maintenance data and unscheduled in-service maintenance data for a maintenance task are retrieved for a plurality of platforms. A distribution of lifetimes for the maintenance task in the scheduled maintenance data and unscheduled in-service maintenance data are analyzed for high variance or multiple modes. A number of conditions in sensor data of the plurality of platforms correlated to a length of the lifetimes for the maintenance task is identified, in response to identifying at least one of high variance or multiple modes in the distribution of lifetimes. The lifetimes are divided into a plurality of groups based on the number of conditions. A respective recommended maintenance interval is determined for each group of the plurality of groups based on respective lifetimes for the maintenance task of a respective group.

Abstract: In one implementation, a system for broadcasting on-duty adventure opportunities among computing devices includes an adventure management computer system to transmit (a) push notifications to selected mobile computing devices related to activated on-duty adventure opportunities and (b) local beacon signal identifiers for mobile-to-mobile beacon signal transmissions for the activated on-duty adventure opportunities, a guide mobile computing device to locally broadcast information for the on-duty adventure opportunity, and a participant mobile computing device (i) to detect the local beacon signals with the local beacon signal identifier for the on-duty adventure opportunity, (ii) to obtain the adventure information for the on-duty adventure opportunity from the adventure management computer system, and (iii) to reserve the on-duty adventure opportunity with the adventure management computer system.

Abstract: An architecture for a load-balanced groups of multi-stage manycore processors shared dynamically among a set of software applications, with capabilities for destination task defined intra-application prioritization of inter-task communications (ITC), for architecture-based ITC performance isolation between the applications, as well as for prioritizing application task instances for execution on cores of manycore processors based at least in part on which of the task instances have available for them the input data, such as ITC data, that they need for executing.

Abstract: Systems and methods which facilitate management of functionality provided with respect to data objects in a multiuser environment are described. Embodiments are adapted to provide concurrency with respect to the data of the data objects in the multiuser environments, such as through the use of channel grouping techniques for providing various data communications. Additionally or alternatively, embodiments are adapted to implement data object assignments for facilitating management functionality available with respect to the multiuser environment, such as through the use of data object assignment containers created for storage of instances of assigned data objects. Through pre-creation of data object assignments to assignees, multiple users of a multiuser environment are enabled to utilize the functionality provided with respect to data objects without duplication of tasks and/or undesired conflicts between the users.

Abstract: A platoon traffic system includes a plurality of platoons including vehicles on and from which passengers board and exit, and an operation management apparatus setting an operation schedule including assignment of the vehicles to the plurality of platoons and management thereof. The vehicles in each of the platoons integrally operate in accordance with the operation schedule along a track including boarding and exiting points where passengers board and exit the vehicles The operation management apparatus accepts a boarding request for the vehicles, the request specifying the boarding and exiting points, and changes the operation schedule to reassign the vehicles belonging to the plurality of platoons, among the platoons based on the boarding request and numbers of passengers allowed to board the vehicles.

Abstract: Systems, methods, and computer-readable storage media for providing adequate instructions to conduct an inventory of a store, and specifically a pre-inventory of difficult to count items. As store are selected for performing an inventory, instructions to perform pre-counts of specific items are sent. As the pre-count begins, videos, text, or other materials needed to perform a complete pre-count are distributed to the store associate performing the pre-count task. If the pre-count is outside pre-defined thresholds, an additional task to re-count the item may be assigned. Based on these actions, the set of rules used to identify when the re-count should occur can be modified.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of: providing, via an electronic platform, access to one or more order placement user interfaces; collecting order placement information associated with the one or more order placement user interfaces; analyzing, by a conversion determination network of a machine learning architecture, the order placement information; generating actual conversion information for client sessions based on the actual availability of the order placement options during the client sessions; generating predicted conversion information for the client sessions based on a full availability of all of the order placement options during the client sessions; and generating lost demand information based, at least in part, on the actual conversion information and the predicted conversion information. Other embodiments are disclosed herein.

Abstract: In order to facilitate automatic message prioritization, systems and methods are described including a processor that receives electronic messages, where each electronic message is associated with a sender and a recipient.

Abstract: Certain embodiments involve generating or optimizing a neural network for generating analytical or predictive outputs. The neural network can be generated using a relationship between various predictor variables and an outcome (e.g., a condition's presence or absence). The neural network can be used to determine a relationship between each of the predictor variables and a response variable. The neural network can be optimized by iteratively adjusting the neural network such that a monotonic relationship exists between each of the predictor variables and the response variable. The optimized neural network can be used both for accurately determining response variables using predictor variables and determining adverse action codes for the predictor variables, which indicate an effect or an amount of impact that a given predictor variable has on the response variable.

Abstract: Systems and methods for computing and evaluating internet of things (IoT) readiness of a product. The traditional systems and methods provide for the IoT maturity check methodologies but they are based more upon cultural view point rather than on an accurate quantified assessment. Embodiments of the present disclosure provide for computing and evaluating the IoT readiness of the product by providing for a set of information on a plurality of IoT compatible products and target IoT integration platform and infrastructure for configuring and connecting the plurality IoT compatible products, computing and assigning a set of scores to the plurality IoT compatible products using a scoring engine module, computing revenue potential and one or more optimal methods of integrating and deploying the plurality of IoT compatible products on a comparison of the set of assigned scores, the performance potential and the potential revenue value of the plurality of IoT compatible products.

Abstract: A production schedule creating method includes: a schedule information acquiring step of acquiring production schedule information including a production sequence for producing a plurality of models of products, a commenceable time point, and a production deadline time point; a preparation time calculating step of calculating a preparation time taken for arrangement work of arranging members on arrangement means, for each of a plurality of models; a production time point calculating step of calculating a production commencing time point and a production end time point for each of the plurality of models; a schedule satisfaction determining step of determining whether or not a schedule satisfying condition is satisfied, for each of the plurality of models; and a sequence changing step of changing a sequence for producing an unsatisfied model that does not satisfy the schedule satisfying condition, in a case where the unsatisfied model is present.

Abstract: A radiology workstation (20) includes a display device (22), at least one user input device (24, 26, 28), and an electronic data processor. The workstation provides an image rendering component (30) for rendering a radiological image, and a report data entry component (32) for entry of a radiology examination report (34) via the at least one user input device and for display of the radiology examination report during entry. The workstation further provides a dynamic checklist component (40) for storing a queue (44) of open checklist items, and for: displaying a checklist comprising open checklist items stored in the queue; dynamically analyzing the radiology examination report during entry to identify a checklist update trigger; updating the queue of open checklist items based on the identified checklist update trigger; and updating the display of the checklist to comprise the open checklist items stored in the updated queue.

Abstract: A method for optimisation of product properties and production costs of industrial processes where a product is manufactured in several operations, Including the following steps: —establishing process chain models (1-m) for each process (1-n), altogether (m×n) models for the calculation of product properties and product production costs, —defining model inputs and outputs related to each of the (m×n) models for physical, chemical or biological parameters and costs of the product, —defining limitations or minimum requirements related to each of the (m×n) models of product properties or process capacity or ability, —providing an optimizing tool linked to the input and output steps and model limitations performing iterations and flow of data between said steps to optimize the product based on customer requirements.

Abstract: Techniques for selecting a meeting to join in response to a voice command from a user are described herein. A user may utter a voice command to “join my meeting” and, in response, the techniques may access a calendar associated with the user to identify the call-in information used to join the meeting. If the calendar indicates that the user is listed as an invitee for multiple meetings at the current time, then the techniques may analyze an array of criteria to determine which meeting the user most likely would like to join.

Abstract: Systems, methods, and computer-readable storage media for managing transport of a commodity from a point of origin to a destination are disclosed. The system receives rating information from one or more logistics service providers and parameters associated with a requested transport of the commodity from a shipper. A quote for the transport of the commodity is dynamically generated based on the rating information and the one or more parameters included in the request, and transmitted to the shipper. The system then receives an authorization to transport the commodity in accordance with the quote from the shipper, and generates one or more smart contracts for the transport of the commodity in response to receiving the authorization. The system monitors the transport of the commodity, and determines whether terms of a smart contract have been satisfied. When a term has been satisfied, operations corresponding to the satisfied terms are performed automatically.

Abstract: Described is an approach for performing context-aware prognoses in machine learning systems. The approach harnesses streams of detailed data collected from a monitored target to create a context, in parallel to ongoing model operations, for the model outcomes. The context is then probed to identify the particular elements associated with the model findings.

Abstract: Apparatus and methods for machine-based planning. The apparatus may cluster a plurality of geographically different resources into a plurality of clusters of proximate resources. The apparatus may calculate a cost of transporting each resource to each of a plurality of destinations. The apparatus may map each cluster to one of the destinations to determine a sum of costs of transporting all of the resources to the destinations. The apparatus may assign to each of the plurality of destinations only resources: that are mapped to the destination; for which the destination has sufficient capacity to accommodate the resources; and whose assignment to the destination does not exclude from the destination, by filling the capacity, a different resource that is: mapped to the destination; and has a net cost that is higher than a net cost of the resource of the assignment.

Abstract: Systems, methods, and other embodiments associated with generating a price schedule are described. An inventory quantity for the item is allocated amongst a plurality of customer segments based on a predicted contribution of each customer segment to the objective function. For each customer segment, based on a quantity of inventory allocated to the customer segment, a promotion portion of the price schedule is determined that maximizes the objective function. Remaining inventory allocated to the plurality of customer segments at the end of the regular season is aggregated. Based on the aggregated inventory, a markdown portion of the price schedule for the item is determined that maximizes the objective function. The promotion portion and the markdown portion are combined to create a price schedule for the item. In one embodiment, a price schedule may be generated that includes promotions on top of markdown prices during the clearance season.

Abstract: A system and method are disclosed for determining long-range staff planning. Embodiments include determining a baseline measurement of labor needs over a time period of one or more employees at one or more entities and modifying the baseline measurement of the labor needs over the time period based on one or more constraints that allow the one or more employees to work additional types of labor needs at the one or more entities. Embodiments further include determining working times and job assignments of the one or more employees based on one or more simulated employees that represent potential employees to the modified baseline measurement of the labor needs over the time period and storing the determined working times and job assignments in the database for the one or more employees at the one or more entities.

Abstract: A process design device, a procedure generation device, a method of controlling a process design device, and a recording medium are provided, such that during an assembly procedure of a product, even when a special task process unique to the product, which is difficult to define in advance, is included, the process of assembling the product is designed. The process design device determines whether or not each task process in procedure data is a special process, displays the task process that has been determined to be the special process in an emphasized manner, and allows a user to decide a facility that is caused to execute the task process.

Abstract: In some embodiments, systems and methods are provided to enable product deliveries based on an interruption condition, comprising: a delivery scheduling system; a cancellation system; and a time reserving system; wherein the delivery scheduling system comprises a delivery scheduling control circuit configured identify that a delivery interruption condition exists for a delivery day; the cancellation system is configured to identify multiple scheduled product deliveries on the delivery day that are to be halted; the time reserving system is configured to: identify a non-interrupted second delivery day, and reserve at least a portion of the second delivery day; and block the reserved portion of the second delivery day and prevent previously unscheduled deliveries from being scheduled during the reserved portion; and the delivery scheduling control circuit is configured to reschedule a delivery of a halted product delivery during the reserved portion of the second delivery day.

Abstract: Provided is methods and apparatuses for scheduling service area in drone network environment. The method includes calculating a throughput in each section while changing a variable determining the number of sections within a maximum value of the variable and determining a variable, by which the calculated throughput becomes maximum, as an optimal value when a service area of the drone is divided into a plurality of sections, dividing the service area into a plurality of sections according to the determined optimal value and scheduling a service providing period of the divided service area, and communicating with a terminal located in the service area according to the scheduled service providing period. The present invention can enhance the networks throughput and energy-efficiency of drone networks.

Abstract: According to one or more embodiments, a method, a computer program product, and a computer system for managing vegetation across distribution systems are provided. The method may include receiving, by a computer, voltage data from one or more data sensors. The computer may determine one or more locations of one or more voltage fault conditions based on the received voltage data. A score may be assigned to each of the determined locations by the computer. The computer may then identify a subset of one or more work orders corresponding to the one or more determined locations from among a database of work orders. A subset of locations may be determined by the computer from among the one or more locations based on the assigned scores and the identified subset of work orders. A field visit may then be scheduled by the computer based on the determined subset of locations.

Abstract: A system receives an order from a user and evaluates a plurality of potential sources for items of an order as well as delivery options. Combinations of sources and delivery options are assigned a score according to factors such as cost, delivery time, and supply chain factors. A prior-used delivery option for the user is determined and the scores are adjusted to indicate higher desirability for combinations including the prior-used delivery option. A combination is selected and fulfillment of the order is invoked. The source and/or delivery option for an order may be adjusted after fulfillment has begun in response to user instructions or detected disruptions. A user may specify a preferred delivery option that will be used unless a combination not including the preferred delivery option meets a threshold condition. The system may analyze past orders of a user and identify lower cost delivery intervals and/or destinations.

Abstract: Logistics data includes a plurality of shipments, each including deliveries tied to a purchase order line item (POLI). Each of the deliveries has a delivery quantity and a post goods issue (PGI) date. The logistics data further includes a plurality of logistics services for the plurality of shipments including deliveries tied to the POLI. A multi-mode shipment has a plurality of sequential logistics services. The logistics data includes a plurality of deliveries tied to the POLI, wherein a goods received (GR) quantity and a GR date is determined for each of the deliveries. The processor provides a display of the PGI date and the GR date for the multi-mode shipment. The processor calculates the goods received (GR) date for a purchase order line item (POLI) based on multiple shipments tied to the POLI and multiple GRs tied to the POLI entered at a field location.

Abstract: According to embodiments illustrated herein, a method is provided for designing an image-analysis task. The method includes receiving one or more first target values of one or more output parameters of the image-analysis task from a requester through a GUI. Thereafter, one or more first values of one or more input parameters, associated with the image-analysis task, corresponding to the one or more first target values are determined based on the one of more first target values and a model. The model corresponds to a relationship between the one or more input parameters and the one or more output parameters. Further, the one or more first values of the one or more input parameters are presented to the requester through the GUI. The requester at least provides one or more second target values of the one or more output parameters through the GUI, based on the presentation.

Abstract: A method for sports communication and collaboration using client devices engaging a network, and an administrative memory with processor, the memory having individual user information profiles; an authentication component; a tournament database model; a registration and ranking component; a financial component; an automatic team creation component; and an operational management component that automatically; creates a tournament play sequence, tracks and calculate results, and a ranking for each individual user information profile.

Abstract: An example method includes receiving one or more cross-platform system maintenance rules that are generated by and sent from a central server computing system, determining a type of software operating system currently being executed by a client computing system, determining, based on the one or more cross-platform system maintenance rules and further based on the type of software operating system, one or more platform-specific system maintenance rules that specify one or more platform-specific system maintenance operations and scheduling information, and determining, based on scheduling information identified by the one or more platform-specific system maintenance rules, a schedule indicating when to perform the one or more platform-specific system maintenance operations. The example method includes initiating performance of the one or more platform-specific system maintenance operations in accordance with the schedule, collecting one or more results, and generating and sending at least one summary report.

Abstract: Methods, systems, and apparatus, including computer-readable storage devices, for predictive models for electric power grid maintenance. In some implementations, one or more computers receive data indicating a maintenance action to be performed for a utility system (e.g., an electric power delivery system, a water system, a gas distribution system), a location for the maintenance action, and environmental conditions at the location. In some examples, the one or more computers also receive data indicating a training level, incident history, or health status of a worker assigned to perform the maintenance action. The one or more computers generate outcome scores for the maintenance action using a model generated from records for maintenance performed by multiple utilities. The one or more computers access mapping data indicating a mapping of the multiple types of potential outcomes with a plurality of maintenance plan elements.

Abstract: A sports communication and collaboration transactional platform with client devices engaging a network, and an administrative memory with processor, the memory having individual user information profiles; an authentication component; a tournament database model; a registration and ranking component; a financial component; an automatic team creation component; and an operational management component that automatically; creates a tournament play sequence, tracks and calculate results, and a ranking for each individual user information profile the platform communicating via the network to financial and medical servers.

Abstract: Techniques are provided for integrating rich media into a scalable, multi-user, web-based calendar system having multiple interconnected web-based interfaces. Rich media refers to digital media that exhibit either, or a combination, of dynamic or interactive properties, including video content, audio content, graphical content, hyperlinks, or browser-based applications to such content, that are associated with a particular calendar event. Rich media events are created and stored in a central repository, and are accessible for adding to users' own calendar events. Rich media calendar events include display templates that define display characteristics for the rich media calendar event. Display templates also provide rich media applications for rendering and displaying the rich media content in the event. Delivery schedules are employed to automatically control the display of rich media calendar events.

Abstract: Selectively shared and filtered personal information collections are provided. Personal information collections include calendars, task lists, address books, and other collections of information that may be provided by personal information manager (PIM) software. Personal information collections published on a server may be limited on a user-by-user basis as to who may access the collections. Furthermore, collections may be automatically filtered based on a rolling window of dates, reducing file size and maintaining privacy of items outside the rolling window.

Abstract: A computer assisted sports communication and collaboration transactional platform with client devices engaging a network, and an administrative memory with processor, the memory having individual user information profiles; an authentication component; a tournament database model; a registration and ranking component; a financial component; an automatic team creation component; and an operational management component that automatically; creates a tournament play sequence, tracks and calculate results, and a ranking for each individual user information profile.

Abstract: Disclosed herein is an automated cross-dock management system configured to optimize moves on a cross-dock. The automated cross-dock management system uses inbound manifest data to calculate ordered move instructions for all inbound movable platforms, inbound modular decks, and inbound freight. The ordered move instructions can be assigned to be carried out by manual conveyance vehicles or by automated guided vehicles based upon a plurality of criteria. The automated cross-dock management system is also able to detect damaged freight on the cross-dock using a combination of streams from video cameras.

Abstract: A device may obtain program code, determine variables based on the program code, execute or analyze the program code, and determine values of the variables based on the executing or analyzing. The device may determine a range for each variable based on positions of at least one significant digit for the values. The range may be determined based on a count of a quantity of occurrences of the at least one significant digit for the values. The device may determine relationships between the variables based on the executing or analyzing, and may determine one or more effects on the range for the variables based on the relationships between the variables. The device may generate a visualization that presents the range for the variables, the relationships between the variables, and the one or more effects on the range for the variables, and may provide the visualization for display.

Abstract: An exemplary electric vehicle includes a data storage module to hold a range of past energy consumption rates for an electric vehicle, and a controller to calculate a predicted energy consumption for the electric vehicle based on variations in the past energy consumption rates across the range. An exemplary vehicle assembly includes a data storage module to hold a range of past energy consumption rates for an electric vehicle, and a controller configured to calculate a predicted energy consumption for the electric vehicle based on variations in the range. An operation of the electric vehicle is configured to alter in response to the predicted energy consumption.

Abstract: Methods and systems for generating sensor data, wherein the sensor data includes measured transit time information for items flowing through a work process, accessing a set of control data for one or more machine tool workstations and accounting data for the work process, calculating a standard deviation of the measured transit time information, calculating an achievable minimum WIP for at least one of the workstations using current values of workstation performance parameters, receiving input including: information identifying process improvement projects and corresponding predictive performance parameter values, and information identifying resources available for process improvement, for the at least one of the workstations: determining an achievable minimum WIP using the corresponding predictive performance parameter values, determining a reduction in minimum WIP based on the difference between the achievable minimum WIP for the current performance parameter values and the predictive performance parameter