A production system includes a first device, a second device, a first sensor, a second sensor and a control device. The control device controls the first device based on a first condition list including a plurality of control parameters of the first device, and controls the second device based on a second condition list including a plurality of control parameters of the second device. The control device acquires a first processed product information, acquires a modified value of the second condition list based on a second model that outputs a modified value of the second condition list in response to the first processed product information, acquires the second condition list modified based on the second condition list and the modified value of the second condition list, and controls the second device based on the modified second condition list.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

A selection of manufacturing equipment associated with a current fabrication process of a manufacturing environment is received. A respective eco-efficiency model corresponding to at least one of the selected manufacturing equipment is identified from a set of eco-efficiency models. Each of the set of eco-efficiency models represents a prior environmental resource consumption of a prior fabrication process involving a respective manufacturing equipment component. Values for one or more process parameters for the current fabrication process that will reduce environmental resource consumption of the current fabrication process when run using the selected manufacturing equipment are determined based on the identified respective eco-efficiency model. The determined values for the one or more process parameters are applied to the current fabrication process.

The present solution provides a model for manufacturing products, such as electric vehicles. The solution can use a data processing system to receive data identifying physical characteristics of a part of a plurality of parts of a product to assemble. Data processing system can identify a first constraint corresponding to ergonomic data for assembling the part. Data processing system can identify a second constraint corresponding to the physical characteristics of the part. Data processing system can generate, using the data input into a model of the data processing system and based on the first constraint and the second constraint, a sequence identifying an order in which to assemble the part into the product with respect to assembly of the plurality of parts.