Abstract: Systems and methods for distributed weld monitoring using jobs and job sessions are described. In some examples, a distributed monitoring system comprises a central monitoring station in communication with a user device and a local monitoring station. A user may use the user device to enter weld monitoring data that is subsequently received by the central monitoring station and stored in a central data repository. The central data repository may associate the weld monitoring data with welding data received from a welding device, as well as with a job session that is, in turn, associated with a job.

Abstract: Disclosed are various approaches for workflow service application stating. In some aspects, an application content request is transmitted to a workflow service. The application content request can request updated states from a network service that acts as a back end for the application. The application content can be provided to the client device or other installed applications, without having opened the application on a client device.

Abstract: The present disclosure is related to computing devices, systems, and methods for a new task-engine system that connects to a variety of task-interaction providers, enabling a user to use any one of multiple task-interaction providers to create and complete tasks within a workflow. That is, the connection to a variety of task-interaction providers allows a user to interact with the workflow through any of the task-interaction providers and create and/or complete any number of tasks in the workflow. The task-engine system may also update the creation and/or completion of a workflow task in all other task-interaction providers, such that all users may be aware of, or notified of, the current state of the workflow through any of the task-interaction providers.

Abstract: A method and system for analyzing and connecting computer-based actions into sentences may include for a series of computer-based actions, determining the case ID for the action for each action where an identifier or case ID can be determined, creating sequences of subsets of the series of computer-based actions using the case ID, and merging sequences having computer-based actions having the same case ID. A set of case IDs may be extracted from the actions using a clustering algorithm based on features of potential case IDs such as gaps in appearance of potential case IDs in a sequence of actions and consecutive appearances of potential case IDs in a sequence of actions. The extracted case IDs may be used when creating sequences.

Abstract: A task multi-assignment method using a tier data structure of a crowdsourcing-based project, the method being a task assignment method using a tier data structure of a crowdsourcing-based project of a multi-assignment method of duplicately assigning each task to a plurality of n different workers, includes: configuring an assignment tier storage including a queue into which task data corresponding to a task that is not assigned to the worker is enqueued, and one or more jth stacks into which task data corresponding to tasks that are each assigned j times (wherein j is a natural number less than n) are pushed; and assigning a task of the project to a worker (hereinafter, referred to as a target worker) who requests task assignment and requesting the target worker to perform the task, by using the assignment tier storage.

Abstract: A condition of an asset including one or more subsystems connected in series is monitored. Each subsystem includes one or more components connected in parallel. The asset has one or more jobs. A probability of the asset surviving a predetermined amount of time is determined based on the monitoring and one or more shared resources. The one or more shared resources are configured to be shared between the subsystems. A model is established using a threshold based heuristic maintenance policy. The model is configured to maximize a number of successful jobs that the asset is able to complete based on the determined probability. The one or more shared resources are allocated to the one or more subsystems based on the model.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments further include receiving a multi-period matrix formulation of a least a portion of an LP supply chain master planning problem representing a supply chain planning problem for a supply chain network and having a planning horizon divided into time buckets separated by time-bucket boundaries, mapping constraints of the LP supply chain master planning problem and variables of the LP supply chain master planning problem to the time buckets, calculating a quantity of cross-over variables for the constraints and the time buckets, selecting one or more decomposition boundaries from the time-bucket boundaries, and formulating at least two time-based decomposed subproblems by decomposing the LP supply chain master planning problem at the one or more decomposition boundaries.

Abstract: A method for monitoring and recording a process in a clean space and a system for implementing same are provided. The method involves providing an electronic process record to a user using at least one processor; monitoring, using at least one sensor, for an event associated with the electronic process record; detecting, using the at least one sensor, the event associated with the electronic process record; recording in at least one data storage, using the at least one processor, information associated with the detected event, the recorded information being associated with a record of the electronic process record in the at least one data storage; verifying, using the at least one processor in communication with the at least one data storage, the recorded information; and storing in the at least one data storage, using the at least one processor, an indication that the recorded information has been verified.

Abstract: A method, system, apparatus, and/or device for adjusting a task or a task flow in an augmented reality environment. The method, system, apparatus, and/or device may include: identifying a first task in a task flow to collect data associated with a user performing the first task; collecting a first set of data associated with the user performing the first task; comparing an amount of time the user expends to perform the first task to a first threshold amount of time; and in response to the amount of time the user expends to perform the first task exceeding the first threshold amount of time displaying a notification to the user or another device.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for managing business deals. The mechanisms and methods for managing business deals may enable embodiments to provide a dynamic and interactive user-interface including any combination of contacts, accounts, opportunities, allowing users to create tasks, events, leads (e.g., from Data.com), reports, dashboards, instant messenger, external deal spaces, email service (e.g., Outlook), a cloud-based productivity suite for businesses that allows work on any device (e.g., Google apps), mobile access, private messaging, lead management, mass email templates, social media monitoring (e.g., from Radian6), role-based sharing and security, and/or additional storage, for example. In an embodiment, the number of contacts may be unlimited.

Abstract: Assisted analytics, facilitates responding to a user selection of a measure that is calculated from a data set that is characterized by a plurality of dimensions of data, populating, with a processor a set of dimensions of the data with dimensions that contribute at least one data value to the user selected measure by calculating, for each dimension of the data in the set of dimensions of data a measure outlier threshold for a set of timeframe-specific values of the measure. This outlier threshold is applied, for each dimension of the data in the set of dimensions of data to calculate a dimension-specific outlier factor by aggregating timeframe-specific outlier weights for each timeframe in which a timeframe-specific value in the set of timeframe-specific values exceeds the measure outlier threshold. The results of this aggregation can be displayed in a ranked list of dimensions based on the dimension-specific outlier factor.

Abstract: An all-encompassing system for planning and optimizing scheduled delivery appointments (or attended deliveries) through the utilization of a software tool having two major constituents: an asynchronously operating background advanced, genetic route optimization algorithm and an algorithm-informed communication user interface (whether through digital, or even analog, pathways, such as, without limitation, SMS, email, IM, and the like, oral communications, or any other possible means of communication). Such a system employs the optimization algorithm to determine efficient routes for delivery services in response to selections from contacted customers via the communication user interface. In this manner, the system allows for an initial base route generation from a set population of responding customers and negotiation through the communication user interface for a delivery time in relation to such a route.

Abstract: An intellectual quality management method is disclosed. A heatmap risk interface is created according to the required data and the parameter configuration which are calculated using a time dependent risk priority number (RPN) equation. An intellectual audit scheduling algorithm is defined via the heatmap risk interface to automatically generate at least one audit plan. An audit program corresponding to the audit plan is performed and a plurality of problem points are selected. Intellectual root cause category recommendation is performed to the questions points. intellectual corrective actions and preventive action recommendations are performed to the problem points according to the intellectual root cause category recommendation to obtain at least one optimum corrective action and at least one preventive action.

Abstract: Techniques for creating an aggregated machine learning (ML) model from a plurality of candidate ML models are described. According to some embodiments, a machine learning service generates an aggregated machine learning model from a first machine learning model and a second machine learning model, selects the first machine learning model, the second machine learning model, or the aggregated machine learning model for usage, and performs an inference with the selected machine learning model. Additionally, a user may select the candidate models to be trained.

Abstract: A computed-implemented method and system for recommending business applications on a network-based marketplace are described. A user's listings, representing items for sale on the marketplace, are harvested to calculate segmentation data and metrics that form a user profile. The user profile is compared with other similar users who have subscribed to various applications, and the impact those applications have had on the metrics of the similar users is calculated in order to determine what impact the applications will have on the user in question. The impact, combined with user preferences, is used to suggest appropriate applications, which are displayed to the user within the marketplace. If the user selects one of the applications, the application is added to the user's profile and relevant listings are updated with the new application.

Abstract: A method, apparatus and device for determining production capacity boundaries are provided. In the method, related data for producing a run size of elements by a production device lot by lot is acquired and time intervals between production ending time points of adjacent lots are determined according to the related data; the determined time intervals are sorted to obtain a time interval sequence; distribution features of time intervals at two boundaries are parsed respectively to determine whether a data removing condition is satisfied; if Yes, an outlier is determined according to a mean value of the present time interval sequence, the time interval of the extraction step length where the outlier is located is removed, and whether the data removing condition is satisfied is determined; and if No, production capacity boundaries are determined according to minimum and maximum time intervals of the present time interval sequence and the run size.

Abstract: A quality review management system may be used to analyze the operation of manufacturing processes within a plant based on data collected by various data sources in the plant, such as batch executive applications, to automatically detect, store, and display exceptions within those processes for use by a quality review engineer to determine if the process operation meets certain quality standards. The quality review management system includes a configuration application that enables a user to create one or more exception rules, an exception engine that analyses process data using the rules to detect one or more exceptions within the process, and a review application that enables quality review personnel to review each determined exception for resolution purposes.

Abstract: A system includes a network interface, a profile database configured to store profile information relating to a plurality of users, and a processing circuit. The processing circuit is configured to: receive a search criteria from a first device associated with a first user; cause profile information relating to one or more users based on the search criteria to be transmitted to the first device; monitor and analyze communications between a second device associated with a selected user and the first device associated with the first user; determine, based on the analyzed communications, one or more terms of an agreement between the first user and the selected user; transmit a notification to the first device prompting the first user to add a first electronic signature to the agreement; and transmit a notification to the second device prompting the selected user to add a second electronic signature to the agreement.

Abstract: A project management portal is disclosed that may include a graphical user interface (GUI) by which individuals internal and external to the enterprise may coordinate performance of tasks and communicate with one another to complete the project. The GUI may include a job list window that displays a plurality of selectable jobs, each corresponding to a job that has been created by a user, and a job details window that displays information associated with a job corresponding to a selected job within the job list window. The job details window may include any number of data entry fields that allow a job to be configured. In some embodiments, some jobs within a job list window may be dependent upon other jobs, such that data produced during performance of a first job acts as an input to be used during performance of a second job.

Abstract: Provided is a manufacture and sales strategy planning method comprising a step of determining, based on information related to a sales plan of a plurality of products and a production capacity of a production facility to produce each product, whether there is any spare capacity in the production capacity of the production facility in relation to the sales plan for each of the products, a step of applying one among a plurality of profit improvement strategies, according to an availability of the spare capacity, to each product determined in this step, and calculating an improvement effect of each product, a step of selecting, based on each calculation result obtained in this step, a specific product among the plurality of products in which the improvement effect has exceeded a set value with regard to each of the plurality of profit improvement strategies, a step of extracting, for each profit improvement strategy, an item which satisfies a restricting condition of sale or production of the specific product se