Abstract: A system for optimizing blending for mass production produced products. The system may include a processor configured to aggregate material information, aggregate production information, model consumer liking of the at least one product, and provide plan information for controlling production resources based on the material information, the production information, and the consumer liking. The material information can be associated with a product input of the at least one product. The production information can be associated with the production resources of the at least one product.

Abstract: A system for optimizing blending. The system can include a processor configured to aggregate material information, aggregate production information, model consumer liking of the at least one product, and provide plan information for controlling production resources based on the material information, the production information, and the consumer liking. The material information can be associated with a product input of the at least one product. The production information can be associated with the production resources of the at least one product.

Abstract: A system for optimizing blending. The system can include a processor configured to aggregate material information, aggregate production information, model consumer liking of the at least one product, and provide plan information for controlling production resources based on the material information, the production information, and the consumer liking. The material information can be associated with a product input of the at least one product. The production information can be associated with the production resources of the at least one product.

Abstract: A system for optimizing blending. The system can include a processor configured to aggregate material information, aggregate production information, model consumer liking of the at least one product, and provide plan information for controlling production resources based on the material information, the production information, and the consumer liking. The material information can be associated with a product input of the at least one product. The production information can be associated with the production resources of the at least one product.

Abstract: Disclosed are a signal transmitting method, a signal transmitting apparatus, and a system for transmitting and receiving a signal. The signal transmitting method comprises the steps of: discovering a companion device using a multicast mode; receiving and storing device type information from the discovered companion device; receiving an application uniform resource identifier (URI) and storing the application URI to correspond to the device type information; and identifying the device type information of the companion device selected by a user and transmitting to the selected companion device the application URI corresponding to the device type information.

Abstract: Disclosed are a signal transmitting method, a signal transmitting apparatus, and a system for transmitting and receiving a signal. The signal transmitting method comprises the steps of: discovering a companion device using a multicast mode; receiving and storing device type information from the discovered companion device; receiving an application uniform resource identifier (URI) and storing the application URI to correspond to the device type information; and identifying the device type information of the companion device selected by a user and transmitting to the selected companion device the application URI corresponding to the device type information.

Abstract: A system for optimizing blending. The system can include a processor configured to aggregate material information, aggregate production information, model consumer liking of the at least one product, and provide plan information for controlling production resources based on the material information, the production information, and the consumer liking. The material information can be associated with a product input of the at least one product. The production information can be associated with the production resources of the at least one product.

Abstract: A system for optimizing blending. The system can include a processor configured to aggregate material information, aggregate production information, model consumer liking of the at least one product, and provide plan information for controlling production resources based on the material information, the production information, and the consumer liking. The material information can be associated with a product input of the at least one product. The production information can be associated with the production resources of the at least one product.

Abstract: A system for simulating drink production. The system can include a processor configured to aggregate existing material information, receive predicted material information, aggregate production information, receive timing information of at least one drink product, model consumer liking of the at least one drink product, and determine a production plan based on the existing material information, the predicted material information, the production information, the timing information and the consumer liking. The existing material information can be associated with a beverage input of at least one drink product. The predicted material information can be associated with the beverage input of the at least one drink product. The production information is associated with production resources of the at least one drink product.

Abstract: A system for simulating drink production. The system can include a processor configured to aggregate existing material information, receive predicted material information, aggregate production information, receive timing information of at least one drink product, model consumer liking of the at least one drink product, and determine a production plan based on the existing material information, the predicted material information, the production information, the timing information and the consumer liking. The existing material information can be associated with a beverage input of at least one drink product. The predicted material information can be associated with the beverage input of the at least one drink product. The production information is associated with production resources of the at least one drink product.

Abstract: A system for managing an agricultural commodity based production system. The system can include a processor configured to aggregate material information, aggregate production information, receive production limits, receive product limits, and at least one of maximize or minimize a parameter of a product lineup including the at least one product based on the aggregate material information, the production information, the production limits; and the product limits. The material information can include quantity information, availability information, and quality information. The material information can be variable. The production information is associated with production resources of the at least one product. The production limits can establish operating tolerances of the production resources. The product limits can establish valid product configurations of at least one product.

Abstract: A system for optimizing blending. The system can include a processor configured to aggregate material information, aggregate production information, model consumer liking of the at least one product, and provide plan information for controlling production resources based on the material information, the production information, and the consumer liking. The material information can be associated with a product input of the at least one product. The production information can be associated with the production resources of the at least one product.