Mitsubishi electric corporation (20240135310). INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING METHOD simplified abstract
Contents
- 1 INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING METHOD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING METHOD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING METHOD
Organization Name
mitsubishi electric corporation
Inventor(s)
Kentaro Ishikawa of Tokyo (JP)
Nobuaki Motoyama of Tokyo (JP)
Masahiro Abukawa of Tokyo (JP)
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135310 titled 'INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING METHOD
Simplified Explanation
The patent application describes an information processing device that calculates the delivery company burden for different combinations of parcels and mobile objects, based on various information such as mobile object information, parcel information, pickup delivery information, map information, weather information, and traffic information. The device then determines the optimum combination that minimizes the delivery company burden and outputs this information.
- Acquisition unit acquires mobile object information, parcel information, pickup delivery information, map information, weather information, and traffic information.
- Calculation control unit calculates the delivery company burden for each combination of target parcels and a mobile object.
- Determination unit identifies the optimum combination based on the calculated delivery company burden.
- Output unit displays the optimum combination.
Potential Applications
This technology could be applied in the logistics industry to optimize delivery routes and reduce costs for delivery companies.
Problems Solved
This technology helps in minimizing the delivery company burden by determining the most efficient combination of parcels and mobile objects for delivery.
Benefits
- Cost savings for delivery companies - Improved efficiency in delivery operations
Potential Commercial Applications
Optimized route planning software for delivery companies
Possible Prior Art
There are existing route optimization software and systems in the logistics industry that aim to improve delivery efficiency and reduce costs.
Unanswered Questions
How does the device handle real-time updates of information such as weather and traffic conditions?
The patent application does not provide details on how the device incorporates real-time updates into its calculations and determinations.
What is the potential impact of this technology on the environment in terms of reducing carbon emissions from delivery vehicles?
The patent application does not address the environmental implications of using this technology for optimizing delivery routes.
Original Abstract Submitted
an information processing device includes an acquisition unit that acquires mobile object information, parcel information, pickup delivery information as information regarding at least one of pickup and delivery, map information, weather information, and traffic information, a calculation control unit that calculates a delivery company burden, as a cost defrayment by a delivery company, in regard to each combination of target parcels and a mobile object by using the mobile object information, the parcel information, the pickup delivery information, the map information, the weather information and the traffic information, a determination unit that determines an optimum combination out of a plurality of combinations based on the delivery company burden calculated in regard to each combination of target parcels and a mobile object, and an output unit that outputs the optimum combination.
