A method for optimizing a manual assembly layout, executed by a processing device, including: analyzing the assembly operation and the operating time corresponding to the assembly operation of each of the assemblers based on the operating information of one or more assemblers; generating a plurality of candidate solutions based on the assembly operations, the operating time, and a plurality of condition parameters; selecting at least one of the candidate solutions to be the optimal solution based on the workload balance information of each of the candidate solutions.

Disclosed are an assembly information providing system and a module assembly including a module assembly including at least one control module including a functional unit including an assembly information management unit generating assembly information; and a user terminal and an assembly information providing server connected to the module assembly through a network and an assembly information providing method including: receiving, by the user terminal or the assembly information providing server, the assembly information from the control module; and storing, by the user terminal or the assembly information providing server, the assembly information and determining whether an assembly error of the module assembly occurs based on the assembly information and transmitting assembly error information to the module assembly, and the assembly error information includes module unique information of at least one module with an error.

Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data and line production data, determine one or more production associations between the cell data and the line production data; evaluate the one or more production associations to identify one or more critical production associations; retrieve the cell data and the line production data associated with the one or more critical production associations; and train a predictive model with the retrieved cell data and the retrieved line production data to predict the production level of the manufacturing assembly line.

Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data, extract feature data from the cell data, determine a plurality of cell configurations, determine an efficiency score by applying the feature data to a predictive model generated for predicting a production level of the manufacturing assembly line, determine at least one target cell configuration from the cell configurations based on the efficiency score, and apply the at least one target cell configuration to at least one cell by implementing each target cell configuration to a corresponding cell.

The present invention relates to a single integrated multi-function apparatus for programming and repackaging programmable devices comprising: input means operable to provide a plurality of un-programmed devices; programming means operable to program the un-programmed devices; checking means operable to inspect predefined characteristics of devices programmed by the programming means; moving means operable to convey programmed devices to the checking means in a path of movement defining a first (X) axis of the apparatus, and placement means operable to move devices to and from the programming means in a path of defining a second (Y) axis of the apparatus. The moving means further conveys programmed devices along the first (X) axis to checking means operable to inspect predefined characteristics of devices programmed by the programming means, and operation of the input means, programming means, moving means, placement means and checking means are coordinated and controlled by software control means.

A distributed control system for use in an assembly line grow pod includes a master controller and a hardware controller device. The master controller includes a first processor and a first memory for storing a first set of instructions that dictates plant growing operations and a second set of instructions that dictates a plurality of distributed control functions. The hardware controller device is coupled to the master controller via a plug-in network interface. The hardware controller device includes a second processor and a second memory for storing a third set of instructions that dictate a selected control function of the plurality of distributed control functions. Upon the plug-in connection, the master controller identifies an address of the hardware controller device and sends a set of parameters defining a plurality of tasks relating to the selected control function.

Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data and line production data, determine one or more production associations between the cell data and the line production data; evaluate the one or more production associations to identify one or more critical production associations; retrieve the cell data and the line production data associated with the one or more critical production associations; and train a predictive model with the retrieved cell data and the retrieved line production data to predict the production level of the manufacturing assembly line.

Disclosed are an assembly information providing system and a module assembly including a module assembly including at least one control module including a functional unit including an assembly information management unit generating assembly information; and a user terminal and an assembly information providing server connected to the module assembly through a network and an assembly information providing method including: receiving, by the user terminal or the assembly information providing server, the assembly information from the control module; and storing, by the user terminal or the assembly information providing server, the assembly information and determining whether an assembly error of the module assembly occurs based on the assembly information and transmitting assembly error information to the module assembly, and the assembly error information includes module unique information of at least one module with an error.

Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data, extract feature data from the cell data, determine a plurality of faults, determine a priority level for each fault by applying the extracted feature data to a predictive model, determine at least one high priority fault, and generate at least one operator alert based on the at least one high priority fault.

Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data, extract feature data from the cell data, determine a plurality of cell configurations, determine an efficiency score by applying the feature data to a predictive model generated for predicting a production level of the manufacturing assembly line, determine at least one target cell configuration from the cell configurations based on the efficiency score, and apply the at least one target cell configuration to at least one cell by implementing each target cell configuration to a corresponding cell.