A computer-implemented method includes obtaining an amount of a resource and/or capability of a process module, and dividing this amount by the maximum amount of the respective resource and/or capability to obtain a theoretical utilization of the resource and/or capability as the theoretical utilization of the process module. A pool of available process modules is searched to identify candidate process modules to replace the process module. The theoretical utilization for each candidate module is determined and an optimized topology of the plant is generated by replacing the process module with a candidate process module that has a same or a higher theoretical utilization than process module.

An integrated platform system controlled with hardware and software for just-in-time, local manufacturing is disclosed. System hardware may include a fermentation system, a cross-flow system, a disposable formulation system, a robotic fill-finish system, and a quality control test and release system.

An integrated platform system controlled with hardware and software for just-in-time, local manufacturing is disclosed. System hardware may include a fermentation system, a cross-flow system, a disposable formulation system, a robotic fill-finish system, and a quality control test and release system.

An integrated platform system controlled with hardware and software for just-in-time, local manufacturing is disclosed. System hardware may include a fermentation system, a cross-flow system, a disposable formulation system, a robotic fill-finish system, and a quality control test and release system.

Proposed is system and method for modular control system providing a dynamically adaptive process control of a process line of a plant in a Machine-to-Machine network. The process line of the plant comprises a plurality of distributed machine control system with one or more elements interlocked to one or more operational unit of the process line. The operation of an operational unit performing a physical function within the process line is controlled by an associated machine control system by means of the elements interlocked to the operational units. The interlocked elements at least comprise IO-interfaces and actor control devices.

An asset class type of a new asset is predicted or determined based upon an evaluation of time series data from the new asset. A predicted asset type is used to identify sensors of the new asset to use for data collection. Using the readings of selected sensors from the new asset, states of the new asset are obtained. The duration at least one of these states of the new asset is determined. This information can be subsequently used to optimize the performance of the new asset.

An integrated platform system controlled with hardware and software for just-in-time, local manufacturing is disclosed. System hardware may include a fermentation system, a cross-flow system, a disposable formulation system, a robotic fill-finish system, and a quality control test and release system.

A system and method for a self-contained modular manufacturing device having self-contained modular tools configured to collectively accomplish a specific task or function. In an embodiment, the modular device includes a housing that has a mount configured to engage a robotic arm or other form of maneuvering actuator (such a crane or gantry). The housing may provide a base by which additional modules may be mounted and coupled. The modular device also includes an interface configured to communicate with a remote control system capable of control the robotic arm. The modular device also includes one or more other modules that are configured to accomplish a particular task or function. Such modules are sometimes called end-effectors and work in conjunction with each other to accomplish tasks and functions. In a self-contained modular manufacturing device, individual processors disposed in the housing may be configured to control the functional tools (e.g., each end-effector) independent of the overall manufacturing control system.

A system and method for a self-contained modular manufacturing device having modular tools and parts configured to collectively accomplish a specific task or function. In an embodiment, the modular device includes a housing that has a mount configured to engage a robotic arm or other form of maneuvering actuator (such a crane or gantry). The housing provides a base by which additional modules are mounted and coupled. The modular device also includes an interface configured to communicate with a remote control system capable of control the robotic arm. The modular device also includes one or more other modules that are configured to accomplish a particular task or function. Such modules are sometimes called end-effectors and work in conjunction with each other to accomplish tasks and functions. In a self-contained modular manufacturing device, a processor disposed in the housing is configured to control the functional tools (e.g., each end-effector) independent of the overall manufacturing control system.

A method operable by a computing device is provided. The method may include receiving a request for a given task to be performed by a robotic system. The method may also determining one or more subtasks required to perform the given task, where the one or more subtasks include one or more parameters used to define the one or more subtasks. The method may also include determining an arrangement of the one or more subtasks to perform the given task, and providing for display an indication of the one or more undefined parameters for the given task. The method may also include receiving an input defining the one or more undefined parameters for the given task, and executing the one or more subtasks in the determined arrangement and in accordance with the one or more defined parameters to cause the robotic system to perform the given task.