A flexible assembling system incorporating at least one manufacturing cell including at least one universal fixture, at least one position monitoring device (e,g., monitoring system, 3D vision system, 3D vision system/scanner, artificial intelligence position determination and monitoring, artificial intelligence vision system to locate part or a feature(s) of the part, and combinations thereof), and at least one programmable robot or machine (e.g., punch, weld, etc.). The at least one universal fixture is a non-dedicated fixture such that the fixture is usable with various products and not dedicated to only one specific part being manufactured.

The present invention relates to a system and its control method for press-fit equipment for shaft-hole fit parts. The automatic press-fit control system mainly includes a control center, a loading and unloading control subsystem, a visual inspection subsystem, and a press-fit control subsystem, and each subsystem communicates with the control center through a communication interface. The control center automates the operation of each subsystem independently, such as the product loading and unloading process, the visual inspection process, and the press-fit process through the control center. The advantages of the invention are: it can realize automatic loading, inspection, and press-fit of the product, which greatly improves the level of production automation and production efficiency; the control system adopts modular design, and each subsystem can operate independently under the control of the control center; it adopts visual inspection and automatic compensation of angle deviation, with good fault tolerance.

Systems and methods for flexible conveyance in an assembly-line or manufacturing process are disclosed. A fleet of self-driving vehicles and a fleet-management system can be used to convey workpieces through a sequence of workstations at which operations are performed in order to produce a finished assembly. An assembly can be transported to a first workstation using a self-driving vehicle, where an operation is performed on the assembly. Subsequently, the assembly can be transported to a second workstation using the self-driving vehicle. The operation can be performed on the assembly while it is being conveyed by the self-driving vehicle.

An automated storage unit publishing system may include a recording device for recording information on a storage unit memory chip; a bin plate with a storage unit bin and a casing bin; an assembling mechanism movably attached to the bin plate, the assembling deck comprising a shuttle for removing a selected sized casing from the casing bin and a recorded flash memory chip from the chip bin and assembling the two into a single unit using pressure; a printing device for printing marks, indications or decoration on the casing, and a gripping device for placing the finished unit in an output mechanism.

A method for operating an assembly includes providing a furniture part which can be arranged by a furniture drive in at least two operating positions relative to a furniture body. In chronological order, a command transmitter spatially separated from the furniture drive transmits at least one digital command to a data transmission device of the furniture drive via the data transmission device of the command transmitter. A computing unit of the furniture drive compares the at least one digital command with at least one digital data set stored in a storage unit, and the computing unit makes a selection on the basis of the result of the comparison to carry out the at least one digital command.

The present disclosure provides a prompt method and system for building a modular apparatus. The method comprises: S1: obtaining configuration information of a target modular apparatus which comprises M unit-modules connected to each other by a docking part; S2: obtaining configuration information of a currently constructed entity which comprises N unit-modules connected to each other by a docking part, N being less than M; S3: calculating at least a position of the docking part where the (N+1).sup.th unit-module should be connected to the constructed entity; and S4: sending out prompt information according to at least the position of the docking part where the (N+1).sup.th unit-module should be connected to the constructed entity calculated in step S3, so as to prompt at least the position of the docking part where the (N+1).sup.th unit-module should be connected.

There is provided a production management apparatus including: a memory section configured to memorize component data in which ranks of LED components stored in the stocker are associated with identification information of the LED components; a rank input section configured to accept a rank of the LED component in the LED components of the multiple types as a designated rank, the LED component being used in producing the board product; and a component group generating section configured to generate a component group into which the LED components of the multiple ranks including the designated rank are combined so as to satisfy a required specification of the board product, based on the ranks of the LED components which are included in the component data.

Aspects of the disclosed technology provide a computational model that utilizes machine learning for detecting errors during a manual assembly process and determining a sequence of steps to complete the manual assembly process in order to mitigate the detected errors. In some implementations, the disclosed technology evaluates a target object at a step of an assembly process where an error is detected to a nominal object to obtain a comparison. Based on this comparison, a sequence of steps for completion of the assembly process of the target object is obtained. The assembly instructions for creating the target object are adjusted based on this sequence of steps.

A line configuration planning device determine a task sequence during production of the to-be-produced product and the task time by the worker or the automatic machine for each task on the basis of the task information and the task time information. The line configuration planning device determine a required cycle time for producing the to-be-produced product on the basis of the production plan information. The line configuration planning device generate, on the basis of the determined task sequence, task time, and required cycle time, an allocation proposal for the worker and the automatic machine such that an estimated cycle time for producing the to-be-produced product is less than or equal to the required cycle time. The line configuration planning device determine a production line configuration for the to-be-produced product on the basis of the allocation proposal and the equipment configuration information.

A system and method for producing products based upon demand are disclosed. In some cases, the products include containers and the contents therein. The containers are disposed on vehicles and are independently routable along a track system and are deliverable to at least one unit operation station. A control system: receives demand for finished products; determines a route for vehicles based upon the status of one or more unit operation stations; and causes a vehicle to progress along a determined route to create one or more of the demanded finished products. The system may be used to produce the same fluent products, different fluent products, and other types of products including assembled products.