The present disclosure relates to a computer implemented method for three-dimensional (3D) printing, for example for 3D printing spare parts for a vehicle The present disclosure also relates to a corresponding arrangement and to a computer program product.

A function to optimize factory management using information on operation ability and capability of an operator and a machine is provided.

Provided is a factory management device which makes a plan for a factory, the device including a storage unit which stores operator measurement information obtained by measuring a movement of an operator and machine measurement information obtained by measuring a predetermined value which indicates an operating state of a machine that is production equipment of the factory, an operator ability prediction unit which predicts changes in operation ability of the operator using the operator measurement information, a machine capability prediction unit which predicts changes in operation capability of the machine using the machine measurement information, a production capacity prediction unit which predicts a production capacity of the factory using prediction of changes in the operation ability and capability of the operator and the machine, and a planning unit which makes a plan for the factory that satisfies a predetermined productivity index using the predicted production capacity of the factory.

The present disclosure relates to a system for providing customized cosmetics by using genetic information, the system comprising: a terminal that receives user information related to a user; a genetic/medical information server that stores genetic information related to the user; a skin meter that acquires skin information on the user; and a cosmetic manufacturing system that manufactures cosmetics by discharging at least one cosmetic material, wherein the cosmetic manufacturing system can select a cosmetic material to be discharged on the basis of at least one among the user information, the genetic information, and the skin information.

The present disclosure relates to a system for providing customized cosmetics by using genetic information, the system comprising: a terminal that receives user information related to a user; a genetic/medical information server that stores genetic information related to the user; a skin meter that acquires skin information on the user; and a cosmetic manufacturing system that manufactures cosmetics by discharging at least one cosmetic material, wherein the cosmetic manufacturing system can select a cosmetic material to be discharged on the basis of at least one among the user information, the genetic information, and the skin information.

The disclosure belongs to the technical field of furniture processing and system planning, and in particular, to an order grouping and processing method for personalized custom furniture. The implementations of multi-order personalized custom furniture can be processed and produced efficiently through the manners of order sorting into sets, parts marking, parts grouping, parts sorting by order, and parts packaging by order in sequence.

The disclosure belongs to the technical field of furniture processing and system planning, and in particular, to an order grouping and processing method for personalized custom furniture. The implementations of multi-order personalized custom furniture can be processed and produced efficiently through the manners of order sorting into sets, parts marking, parts grouping, parts sorting by order, and parts packaging by order in sequence.

A method, computer program product, and system are disclosed. The method, when implemented in a computer system, includes obtaining product information, selecting a production node from a plurality of production nodes, and communicating production information to the production node. The product information is configured to facilitate production of a product. The selecting performed by the computer system comprises determining a physical location of a destination of the product and identifying the production node. The identifying is based, at least in part, on the physical location and one or more production criteria. The production information comprises information identifying the product. The computer system is configured to communicate with each production node of the plurality of production nodes. The communicating is configured to result in production of the product by the production node.

The present disclosure relates to an Industrial Internet of Things (IoT) and a method for controlling a balance rate of a production line. The Industrial IoT includes an user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence, the service platform adopts a centralized arrangement, the management platform adopts an independent arrangement, and the sensor network platform adopts a rear sub-platform arrangement.

Method and system for optimizing the arrangement of a set of aircraft parts on a plate. The system includes a selection module which selects, from a set of data on the material of the set of parts and a set of geometric data associated with the set of parts, part grouping criteria including at least one optimized plate thickness value, an optimization module for optimizing the arrangement of the set of parts on a plate as a function of the part grouping criteria, cutting criteria and optimization criteria and a transmission module generating and transmitting, to a user system, optimization data representative of the optimization of the arrangement of the set of parts. The system makes it possible to take account of the parameters linked to the dimensions of the plate to optimize the arrangement of the set of parts.

According to one embodiment, an information collection system comprises a transmitter, a receiver, and a processor. The transmitter emits a signal. The receiver receives the signal. The processor calculates a distance between the transmitter and the receiver from a strength of the signal received by the receiver. The processor calculating the distance between the transmitter and the receiver from the strength of the signal for each of the signals received during a first interval, and using an average distance as the distance between the transmitter and the receiver, the average distance being obtained by averaging the plurality of calculated distances.