The subject technology is related to methods and apparatus for training a set of regression machine learning models with a training set to produce a set of predictive values for a pending manufacturing request, the training set including data extracted from a set of manufacturing transactions submitted by a set of entities of a supply chain. A multi-objective optimization model is implemented to (1) receive an input including the set of predictive values and a set of features of a physical object, and (2) generate an output with a set of attributes associated with a manufacture of the physical object in response to receiving the input, the output complying with a multi-objective condition satisfied in the multi-objective optimization model.

Methods, systems, and devices for determining a machining process in a CAM system where the determining is based on CNC machine capabilities, user defined process constraints, and CNC machine configurations.

A state change management system of a manufacturing cell in a cell control system receives, from the manufacturing cell, event information items in different forms generated in multiple manufacturing machines constituting a manufacturing cell, via a communication device, to thereby monitor the changes in the states of the multiple manufacturing machines. Moreover, the state change management system converts the received event information items in the different forms into a standardized form, and outputs the event information items in the standardized form to a production planning device that performs production planning of a product manufactured by the manufacturing cell via the communication device.

A process design and management system for batch manufacturing of pharmaceuticals products. The system permits a user to create a chemical process design based on the user's input data and retrieved process library data which includes material data, process data, and equipment data. The system includes software objects defining operations sequences, and processing operation parameters including materials flows and balances, cycle time, constraints, equipment, generic equipment capability requirements, specific equipment capability requirements, and actual capacity analysis. A graphical user interface allowing multiple views of the chemical process design, including one or more of a design view, process flow view, time cycle view, and instructions view.

The subject technology is related to methods and apparatus for discretization, manufacturability analysis, and optimization of manufacturing process based on computer assisted design models and machine learning. An apparatus determines from the digital model features of a physical object. Thereafter, the apparatus produces predictive values for manufacturing processes based on regression machine learning models. The apparatus generates a non-deterministic response including a non-empty set of attributes of manufacture processes of the physical object based on a multi-objective optimization model. The non-deterministic response complies or satisfies a selected multi-objective condition included in the multi-objective optimization model.

The subject technology is related to methods and apparatus for training a set of regression machine learning models with a training set to produce a set of predictive values for a pending manufacturing request, the training set including data extracted from a set of manufacturing transactions submitted by a set of entities of a supply chain. A multi-objective optimization model is implemented to (1) receive an input including the set of predictive values and a set of features of a physical object, and (2) generate an output with a set of attributes associated with a manufacture of the physical object in response to receiving the input, the output complying with a multi-objective condition satisfied in the multi-objective optimization model.

Methods, systems, and devices for determining a machining process in a CAM system where the determining is based on CNC machine capabilities, user defined process constraints, and CNC machine configurations.

A state change management system of a manufacturing cell in a cell control system receives, from the manufacturing cell, event information items in different forms generated in multiple manufacturing machines constituting a manufacturing cell, via a communication device, to thereby monitor the changes in the states of the multiple manufacturing machines. Moreover, the state change management system converts the received event information items in the different forms into a standardized form, and outputs the event information items in the standardized form to a production planning device that performs production planning of a product manufactured by the manufacturing cell via the communication device.

Methods, systems, and devices for determining a machining process in a CAM system where the determining is based on CNC machine capabilities, user defined process constraints, and CNC machine configurations.

The present disclosure relates to utilizing idle processing resources of a robot to reduce future burden on such processing resources. In particular, idle processing resources are utilized to identify future scenarios, and generate reactions to such future scenarios. The generated reactions are stored, and quickly retrieved as needed if corresponding identified future scenarios occur.