18270822. OPTIMIZATION APPARATUS, OPTIMIZATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM simplified abstract (NEC Corporation)
OPTIMIZATION APPARATUS, OPTIMIZATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Organization Name
Inventor(s)
Hiroshi Chishima of Tokyo (JP)
OPTIMIZATION APPARATUS, OPTIMIZATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18270822 titled 'OPTIMIZATION APPARATUS, OPTIMIZATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Simplified Explanation
The optimization apparatus described in the patent application aims to streamline the process of creating delivery plans by efficiently selecting delivery tasks based on various factors.
- Acquisition unit gathers delivery information for products at different consumption locations.
- Identification unit identifies potential delivery tasks from a source to multiple consumption locations and back.
- Determination unit analyzes the delivery information to determine evaluation values and suitable vehicle types for each task.
- Selection unit optimizes an objective function to select the best delivery tasks from the identified candidates.
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- Potential Applications
- Logistics and supply chain management
- E-commerce delivery services
- Food and grocery delivery
- Problems Solved
- Reducing time and resources required to create delivery plans
- Optimizing delivery routes for efficiency and cost-effectiveness
- Benefits
- Increased productivity and efficiency in delivery operations
- Cost savings through optimized route planning
- Improved customer satisfaction with timely deliveries
Original Abstract Submitted
There is provided an optimization apparatus that reduces the time required to create a delivery plan. An optimization apparatus () includes an acquisition unit () that acquires delivery information regarding each of one or more products for each of a plurality of consumption locations, an identification unit () that identifies a plurality of delivery task candidates departing from a delivery source, delivering the one or more products to each of one or more consumption locations, and returning to the delivery source, a determination unit () that determines, based on the delivery information, at least one of evaluation values and a vehicle type of a delivery vehicle for each candidate, and a selection unit () that selects a plurality of delivery tasks from the plurality of identified candidates based on a result of optimizing an objective function based on a determination result.
