Embodiments are directed towards automatically identifying, configuring, monitoring, controlling, managing, and maintaining a machine, via collection computers in communication with the machine components. The components include ID Tags that store identification data, such as a component type and a unique identifier. Interrogation of the ID Tags enables the automatic identification and configuration of the machine. Data provided by the sensors, during usage of the machine, enables the remote monitoring and managing of the usage, as well as maintaining of the machine. Machine maintenance includes automatically predicting and scheduling the replacement of various components. Embodiments provide suggestions for suppliers of replacement components, as well as suggestions for alternative components that may be better optimized for the configuration and usage of the machine. Heuristics and crowd-generated data, via machine user social networks, inform predictive analyses employed to automatically identify, configure, manage, operate, and maintain the machine.

Systems and methods are described for managing articles. The systems and methods described herein may comprise an example method for manufacturing an article. The systems and methods provides an end-to-end manufacturing value chain as a closed system and feedback loop.

Systems and methods are described for managing articles. The systems and methods described herein may comprise an example method for manufacturing an article. The systems and methods provides an end-to-end manufacturing value chain as a closed system and feedback loop.

An industrial work order analysis system applies statistical and machine learning analytics to both open and closed work orders to identify problems and abnormalities that could impact manufacturing and maintenance operations. The analysis system applies algorithms to learn normal maintenance behaviors or characteristics for different types of maintenance tasks and to flag abnormal maintenance behaviors that deviate significantly from normal maintenance procedures. Based on this analysis, embodiments of the work order analysis system can identify unnecessarily costly maintenance procedures or practices, as well as predict asset failures and offer enterprise-specific recommendations intended to reduce machine downtime and optimize the maintenance process.

A system includes a shelving unit, a sensor and a processor. The shelving unit includes a pocket. The sensor is associated with the pocket and is configured to obtain a parameter indicative of a weight of the pocket. The processor configured to execute instructions stored in a nontransitory computer-readable medium. The instructions include obtaining the parameter indicative of the weight of the pocket from the sensor, determining the weight of the pocket based on the parameter, comparing the weight of the pocket to a predetermined value, generating a paint chip order that includes a request in response to the weight of the pocket being below the predetermined value, and transmitting the paint chip order to a computing system.

A system includes a shelving unit, a sensor and a processor. The shelving unit includes a pocket. The sensor is associated with the pocket and is configured to obtain a parameter indicative of a weight of the pocket. The processor configured to execute instructions stored in a nontransitory computer-readable medium. The instructions include obtaining the parameter indicative of the weight of the pocket from the sensor, determining the weight of the pocket based on the parameter, comparing the weight of the pocket to a predetermined value, generating a paint chip order that includes a request in response to the weight of the pocket being below the predetermined value, and transmitting the paint chip order to a computing system.

Systems and methods thereof, of generating a unique identification code for an industrial commodity. The method includes receiving a user query indicative of at least one constructional and operational characteristic of the commodity, inspecting the user query to determine whether the user query is complete for identification of the commodity, updating the user query based on the inspection, identifying at least one attribute of the commodity from the updated user query, based on a list of predefined attributes of the commodity, mapping the at least one attribute to at least one of predefined attribute types, predefined regional standards, predefined commodity rules, and predefined commodity types, and generating the unique identification code for the commodity, based on the mapping. The predefined attribute types may be a predefined commodity group and a predefined commodity part.

Provided is a process including: receiving a tank-nearly-full message indicating that a tank at an oil or gas related facility is or will be ready for a truck to unload and transport fluid accumulating in the tank; in response to the tank-nearly-full message, creating a tank-run record; sending a description of the tank-run to a mobile device of a driver of an oilfield truck; receiving, from the mobile device of the driver of the oilfield truck, a tank-run claimed message indicating that the driver will drive to the oil or gas related facility and transport at least some of the fluid accumulating in the tank; and after the tank-run claimed message, performing steps including: confirming that the tank-run has not yet been claimed; after the confirmation, designating the tank-run as claimed by the driver; and sending confirmation to the mobile device of the driver.

A method implements a punch item worker interface. The method includes receiving a task image from a worker interface. The task image depicts a worksite corresponding to a task of a checklist item presented in a checklist view. The method further includes updating the checklist item with a task thumbnail corresponding to the task image. The method further includes presenting the checklist view with a notification and with the checklist item updated to include a punch thumbnail of a punch image from a builder interface. The method further includes receiving a punch task image from the worker interface. The method further includes updating the checklist item with a punch task thumbnail corresponding to the punch task image.

A method implements a punch item worker interface. The method includes receiving a task image from a worker interface. The task image depicts a worksite corresponding to a task of a checklist item presented in a checklist view. The method further includes updating the checklist item with a task thumbnail corresponding to the task image. The method further includes presenting the checklist view with a notification and with the checklist item updated to include a punch thumbnail of a punch image from a builder interface. The method further includes receiving a punch task image from the worker interface. The method further includes updating the checklist item with a punch task thumbnail corresponding to the punch task image.