Abstract: A method for management of a production pipeline is disclosed. The method may comprise accessing a data model which comprises a plurality of data objects, including one or more assembly objects, each assembly object representing a part to undergo one or more production events to be performed on a part at a first party facility for providing to a second party facility and one or more production event objects, each production event object representing a particular production event and having a plurality of properties, including an associated start time property and an end time property. The method may also comprise receiving selection of one or more production event objects to be linked to a first assembly object and an indication of values for at least the start time property and end time property of the one or more production event objects and receiving input of one or more alert conditions to be linked to the first assembly object.

Abstract: A computer implemented method includes obtaining, by the computer, assay data for a feedstock containing measurements for one or more aspects of the first feedstock, a first equipment model containing properties of processing units, and processing conditions containing one or more variables by which the first feedstock will be processed by the processing units. The computer determines a corrosion amount of the processing units using the processing conditions, the properties of the processing units contained in the equipment model, and the assay data for the feedstock, and stores/displays the corrosion amount of the processing units. A safety warning may be displayed, and the feedstock rejected if the corrosion amount exceeds a predetermined safety level for one or more of the processing units.

Abstract: Provided is a computer-based supplier knowledge management method, system, and computer program product. The system embodies the computer program code which, when executed performs the method. The method includes establishing an electronic profile for one or more users from an entity; establishing an electronic supplier profile for each of a plurality of suppliers, each supplier profile comprising a set of supplier keywords; generating an electronic RFI by an entity user, the RFI comprising a set of user specified RFI keywords corresponding to a project; and electronically processing the RFI, including performing keyword matching between the RFI keywords and one or more of the supplier profiles and generating a list of candidate suppliers for the project based, at least in part, on the keyword matching.

Abstract: Embodiments of the present disclosure relate scheduling maintenance services for a special-purpose vehicle. In an exemplary embodiment, a user device comprises a user interface, a processor, and memory comprising instructions that when executed by the processor cause the processor to output, to the user interface, a plurality of service method icons. The plurality of service methods comprise a first service method icon corresponding to a service being performed on the special-purpose vehicle at a first location and a second service method icon corresponding to the service being performed on the special-purpose vehicle at a second location. The first location and the second location are different locations. The memory also comprises instructions that when executed by the processor cause the processor to receive, via the user interface, a selection of a service method icon of the plurality of service method icons and send, to a scheduling server, a signal corresponding to the selected service method icon.

Abstract: The invention is related to pairing a customer with the best service provider upon a selection from the customer in on-demand transportation service. A platform in the invention provides a graphical representation of the electronic interface displaying sets of indicators that reflect transportation service relevant data corresponding to each of the available service providers and containing two or more identifications through at least a Global Positioning System (GPS) receiver. The display is corresponding to the one or more inputs provided by the customer to the two or more search parameters including a maximum number of available service providers and at least one of the following groups comprising the one or more available service providers within a time span or a distance span for arrival to a pick-up location of the customer. The sets of indicators corresponding to each of the available service providers that match the preset preferences.

Abstract: Arrangements described herein provide a reliability-aware method of determining a schedule for performing a set of tasks for agents. The arrangements determine the schedule based on an objective function that aims to provide a greater probability of completion of the schedule. This allows a more reliable schedule to be determined that takes into account the risk that one or more of the agents will fail during the operation of the schedule. This ensures that the schedule integrates sufficient fail-safes to avoid or at least reduce the need for rescheduling to account for agent failure.

Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to the disclosed embodiments, the transportation matching system identifies low engagement transportation providers by analyzing information associated with the transportation providers to generate engagement levels. Furthermore, the system identifies an optimal match between a low engagement transportation provider (regardless of whether the transportation provider is online or offline) and a scheduled transportation request by utilizing attributes associated with a scheduled transportation request and attributes associated with transportation providers to generate rankings for the transportation providers. Additionally, the system provides the scheduled transportation request exclusively to a selected transportation provider based on the generated rankings.

Abstract: A production plan creation device includes a processor configured to determine, when creating a plan for multiple tasks performed to produce a product, multiple candidate plans having a most favorable value for each of multiple predetermined evaluation indicators, and cause the multiple candidate plans to be displayed such that the respective evaluation values of the multiple evaluation indicators are comparable.

Abstract: Some embodiments may provide a method and a system for receiving, from a first user, a first evaluation indication with respect to a first publication, and in response to receiving the first evaluation indication, automatically initiating a secondary evaluation process comprising automatically selecting a set of publications including at least a second publication, presenting a first user interface affordance to elicit a selection indication indicating a publication from among the set of publications, receiving a selection indication indicating the second publication, and in response to receiving the selection indication, presenting a second user interface affordance to elicit a second evaluation indication with respect to the second publication.

Abstract: Certain example embodiments relate to systems and/or methods for providing enhanced control over potentially sensitive data sharable among and/or between different parties. For example, certain example embodiments provide views into computer-enabled workflows managed by external parties, including views into what sensitive data has been accessed, who has accessed it, etc., e.g., throughout the lifecycle of a product granted on the basis of an analysis of such data. A computer-enabled system for automatically assessing received sensitive data in accordance with one or more digitized rule sets also is provided in certain example embodiments, as are computer-mediated tools for helping to automatically, semi-automatically, and/or manually resolve issues detected in the assessments, e.g., via enhanced communication and collaboration, among and/or between parties to a transaction, as well as third-parties who indirectly are involved in the transaction. The data remains secure and traceable, e.g.

Abstract: Systems and methods for adjusting a facility configuration based on detected conditions are disclosed. An example system may include an energy and compute facility having a compute resource, and an energy source or an energy utilization requirement. The system may also include a controller having a facility description circuit to interpret detected conditions, and a facility configuration circuit to operate an adaptive learning system. The adaptive learning system is configured to adjust a facility configuration based on the detected conditions, wherein adjusting the facility configuration includes adjusting a utilization of the compute resource and at least one additional facility resource.

Abstract: Efficiency improvements for electronic task managers and an improved user experience are realized when more relevant and fewer irrelevant tasks are presented to users and users are given greater control in manipulating those task items. By heuristically determining times, locations, and semantics associated with task relevance and integrating the management of tasks into more applications, the functionality of the systems providing for electronic task management is improved, as computer resources are spent with greater utility to the users and the user experience is improved for the users.

Abstract: A device may generate a shortest path tree based on a passenger starting point identified in driving data. The device may generate a graph with a first layer and a second layer that correspond to the shortest path tree and may add paths from nodes in the first layer to corresponding nodes in the second layer. The device may identify a first shortest path that starts from a driver starting node in the first layer and ends at a passenger end node in the second layer and a second shortest path that starts from the passenger end node and ends at a driver end node in the second layer. The device may calculate a shared cost associated with the driver and the passenger sharing a ride based on the first shortest path and the second shortest path. The device may generate a recommendation based on the shared cost.

Abstract: A computer-implemented method for using a machine-learning trained predictive engine to predict failures includes receiving electronic prior transaction data corresponding to a plurality of prior successful transactions and a plurality of prior unsuccessful transactions, and training a machine learning predictive engine based on the plurality of prior successful transactions and the plurality of prior unsuccessful transactions. Electronic transaction data may be received, the electronic transaction data being associated with a user, an item, and candidate transaction terms, the electronic transaction data being associated with a candidate transaction. The machine learning predictive engine may determine a likelihood of success of the candidate transaction based on the electronic transaction data, and display the likelihood of success of the candidate transaction.

Abstract: A social media impact analysis (SMIA) computer device and methods for allocating resources in response to social media conversations are provided. The SMIA device stores for a plurality of escalation levels, corresponding trigger criteria and resource allocations, where each trigger criteria includes a sales impact range and a content category. The SMIA device is configured to receive tracking signals relating to social media conversations about a product over a time period, each tracking signal including a topic of social media conversation and correlated to a predicted future sales impact; detect that a tracking signal deviates from a threshold; compare the tracking signal to the trigger criteria for the escalation levels; and allocate resources automatically in response to the social media conversations according to the resource allocation for a first of the escalation levels.

Abstract: Apparatuses, methods, and associated computer program products are provided for regulated access management. An example method includes receiving a request for access from a user device associated with an employee and receiving employee data associated with the employee. The method further includes determining if the employee is subject to a required absence regulation and generating an access attempt notification in an instance in which the employee is subject to the required absence regulation. Determining if the employee is subject to the required absence regulation includes identifying an employee status associated with the employee data and determining that the employee is subject to the required absence regulation based on the employee status.

Abstract: Systems and methods for units of work based on business objectives are disclosed. Exemplary implementations may: manage environment state information maintaining a collaboration environment configured to facilitate interaction by users, the environment state information defining units of work and business objectives associated with the units of work; obtain progress information, the progress information for individual business objectives conveying progress toward fulfillment of the individual business objectives; update objective records for the business objectives based on the progress information so that the progress of the business objectives is maintained by the objective records; and/or perform other operations.

Abstract: Systems and methods for facilitating user engagement with units of work assigned within a collaboration environment are presented herein. Implementations may: manage environment state information maintaining a collaboration environment, the environment state information the work unit records including values of an approval state parameter; effectuate presentation of a user interface of the collaboration environment, the user interface displaying individual work unit pages for individual units of work that include a set of user interface elements available for selection by the users, individual user interface elements in the set corresponding to different ones of the values of the approval state parameter; obtain user input information conveying user input characterizing the selection of the individual user interface elements; update the work unit records based on the user input information; and/or other perform other operations.

Abstract: Systems and methods are disclosed for scheduling a workforce. In one embodiment, the method comprises receiving a shift activity template; receiving an association between the shift activity template and at least one worker; and scheduling a plurality of schedulable objects. The scheduling is performed in accordance with a workload forecast and schedule constraints. Each of the schedulable objects is based on the shift activity template. The shift activity template describes a worker activity performed during a shift. The template has range of start times and a variable length for the activity. The activity is associated with a queue.

Abstract: A system and methods are provided for a workforce management (WFM) system adapted to perform automated scheduling operations based on scheduling rule(s) and/or parameter(s). The system includes a processor and a computer readable medium operably coupled thereto, to perform the scheduling operations which include automatically generating a survey comprising queries based on the scheduling rule(s) and parameter(s) having at least a first and second dimension, distributing the survey to user(s) via one or more interfaces of the WFM system, detecting each response to the survey via the WFM system, analyzing, using a deep learning model, each survey response, generating one or more recommendations for the user(s) based on analyzing each response using the deep learning model, detecting one or more feedbacks to the survey via the WFM system, and adjusting, using the deep learning model and the feedback(s) to the recommendation(s), one or more of the parameters for the survey.