A method, a system, and a computer readable medium for managing recharging of a shared electric vehicle are provided. The method includes determining whether an energy storage device of the electric vehicle requires charging, identifying a charging method based on a plurality of parameters including an ambient temperature, a current state of charge, a current load, and a power estimate for a planned route, altering the planned route of the electric vehicle to enable charging based on the identified method, and charging a second energy storage device associated with a second electric vehicle during transit via the electric vehicle. The charging method includes swapping electric vehicles, exchanging the energy storage device, and charging via a charging bot.

The present disclosure makes it possible to construct a production line of products using pieces of first equipment located in a geographical area and mobile second equipment. An information processing method tries to assign pieces of first equipment to a series of work processes to produce products based on the pieces of first equipment located in the geographical area and positions thereof, decides installation of pieces of second equipment to be assigned to a part of the series of work processes to which a part of the pieces of equipment cannot be assigned from among the pieces of first equipment when there is the part of the series of work processes to which the part of the pieces of equipment cannot be assigned from among the pieces of first equipment, outputs a request to transport the pieces of second equipment to an installation position in the geographical area.

A cell controller in each manufacturing cell includes a manufacturing instruction determination part that determines the types of manufacturable parts to be preferentially manufactured and the number of parts to be manufactured, based on order information and inventory information that are stored in the storage part of an administrative server, the manufacturing instruction determination part indicating the determination to a drive controller. In a cell production system configured thus, each manufacturing cell can timely manufacture multiple types of parts according to a status change of, for example, a part order or the inventory of materials.

A cable processing machine control system includes middleware for data exchange with data brokers of multiple cable processing machines, and a wearable communication device for data exchange with the middleware. When a user of the cable processing machine control system has logged into the wearable communication device, depending on a role of the user that is assigned by the middleware, different information is displayed for the user on the wearable communication device via the cable processing machines assigned to the assigned role of the user and/or different action possibilities for controlling the cable processing machines assigned to the assigned role of the user are provided for the user on the wearable communication device.

When operating a production site, it is preferable to maintain accurate models continuously. Provided is a system including a simulating section that simulates operation of at least a portion of a production site, based on a simulation model of the at least a portion of the production site; a monitoring section that monitors actual operation of the at least a portion of the production site; a calibrating section that calibrates the simulation model, based on a difference between the simulated operation and the actual operation; and an updating section that updates a planning model used to generate a production plan for the production site, according to the calibration of the simulation model.

A production utilization planner (PUP) core for a manufacturing cell has a simulation manager configured to simulate the processing of workpieces arranged in a workpiece order, by performing the steps of: creating an instance of a simulation controller and an instance of a software model of the manufacturing cell, determining a next timed action to be performed by state machines, incrementing the simulation to the next timed action, updating the software model and the simulation controller each time a state machine performs a timed action, and repeating the steps of determining the next timed action, incrementing the simulation, and updating the software model and the simulation controller, until all of the workpieces have been processed. The simulation manager is configured to output a simulated completion time for processing the workpiece order.

A method, apparatus, system, and a computer program product for managing a manufacturing of an object. Work orders for the object that have work areas with less than a minimum safety distance from each other are identified by a computer system. A set of actions is performed by the computer system for the work orders to manage the manufacturing of the object.

Embodiments disclosed herein include methods of processing substrates in a tool. In an embodiment, the method of processing the substrate in the tool, comprises receiving an augmented recipe with a machine learning (ML) and/or an artificial intelligence (AI) module. In an embodiment, the augmented recipe comprises, a recipe for processing the substrate in the tool, and a matrix identifier that corresponds to one or more substrate properties. In an embodiment the method further comprises using the ML and/or AI module to retrieve a data set from a database, where the data set is associated with the matrix identifier, and using the ML and/or AI module to modify the augmented recipe to form a modified recipe, where the modification is dependent on the data set.

The present disclosure provides a semiconductor intelligent detection system, an intelligent detection method and a storage medium. The semiconductor intelligent detection system includes: a data import module, configured to acquire a data table to-be-detected; a data storage module, having a process resource database stored therein, a data type of data stored in the process resource database being used to perform data detection on items to-be-detected of a corresponding type; a resource detection module, connected to the data import module and the data storage module; wherein the resource detection module is configured to perform data detection on the items to-be-detected in the data table to-be-detected one by one, and record wrong items to-be-detected in an abnormity information table; and, an abnormity export module, connected to the resource detection module and configured to detect whether the resource detection module has detected the last item to-be-detected in the data table to-be-detected.

The present disclosure makes it possible to construct a production line of products using pieces of first equipment located in a geographical area and mobile second equipment. An information processing method tries to assign pieces of first equipment to a series of work processes to produce products based on the pieces of first equipment located in the geographical area and positions thereof, decides installation of pieces of second equipment to be assigned to a part of the series of work processes to which a part of the pieces of equipment cannot be assigned from among the pieces of first equipment when there is the part of the series of work processes to which the part of the pieces of equipment cannot be assigned from among the pieces of first equipment, outputs a request to transport the pieces of second equipment to an installation position in the geographical area.