Evaluation Device Optimizing Delivery Schedules via Base Combinations
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Solution Overview
Problem
Existing delivery scheduling methods fail to optimally determine the combination of delivery routes and means for transporting cargo, as they do not consider the specific location, cargo quantity, loading capacity, and delivery date, leading to suboptimal delivery routes and means.
Innovation Solution
An evaluation device and method that stores base and delivery destination information, along with cargo demand and tariff data, to create delivery course information and determine a delivery schedule by optimizing the combination of delivery routes and means, considering both route service and route delivery options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If direct delivery from each base to each delivery destination is considered, then delivery time and cost calculation is simplified, but the optimal delivery route and delivery means cannot be determined when multiple shippers and various delivery methods are involved
Solution Approach 1:
The patent segments the delivery determination process into two independent stages: first determining the optimal base combination for each delivery destination, then determining the optimal delivery means (route service or route delivery) for each basecombination. This segmentation allows complex multi-factor optimization to be broken down into manageable steps, resolving the contradiction between simplicity and adaptability.
Solution Approach 2:
The patent dynamically selects between different delivery means (route service or route delivery) based on multiple factors including location situation, cargo quantity, loading capacity, and delivery date. The system adapts the delivery method according to actual conditions rather than using a fixed approach, enabling the system to handle diverse delivery scenarios effectively.
2Loss of energy
If route service is used to deliver cargo of multiple shippers on one truck, then delivery cost is reduced, but delivery time and cost cannot be accurately calculated without considering specific location and cargo characteristics
Solution Approach 1:
The patent applies different evaluation criteria and calculation methods for different delivery scenarios. For route service, it considers factors like cargo quantity, location situation, and delivery date to calculate accurate costs. For route delivery, it evaluates loading capacity and delivery distance. This localized approach to evaluation ensures accurate cost measurement for each specific delivery type while maintaining the ability to choose the most cost-effective method.
3Productivity
If route delivery is used with one delivery vehicle circulating multiple delivery destinations, then delivery efficiency is improved, but the optimal delivery schedule cannot be determined without considering cargo quantity and loading capacity constraints
Solution Approach 1:
The patent performs preliminary determination of the optimal base combination for each delivery destination before finalizing the delivery schedule. This preliminary action establishes the foundation for subsequent delivery means selection, allowing the system to pre-calculate and optimize base combinations based on delivery destination characteristics, cargo quantity, and location information, thereby simplifying the overall schedule determination process.
Data Source
AI summary
Provided is an evaluation device which stores base information, base destination information, demand information, a route service tariff, and a route delivery tariff in a memory device. The evaluation device uses the base information, the delivery destination information, the demand information, and the route service tariff to create delivery course information relating to a route service which includes a delivery course along which a delivery vehicle delivers a quantity of cargo delivered to a delivery destination from a base to the delivery destination by a route service and a cost per delivery course, uses the base information, the delivery destination information, the demand information, and the route delivery tariff to create delivery course information relating to route delivery which includes a delivery course along which a delivery vehicle delivers a quantity of cargo delivered to a delivery destination from a base to the delivery destination by the route delivery and delivery cost of the delivery course, determines a delivery schedule by extracting the delivery course information from each of the bases configuring a combination of the bases for each combination of a plurality of the bases from a set of the delivery course information based on the delivery cost included in the delivery course information, and outputs a delivery schedule of each combination of the plurality of bases.