Delivery Plan System Restriction Alleviation Cost Optimization
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Solution Overview
Problem
Existing delivery plan making systems fail to effectively reduce delivery costs by not allowing for the comparison and confirmation of multiple restriction alleviation plans, leading to inefficiencies in vehicle reduction and cost calculation.
Innovation Solution
A delivery plan making system that includes a storage unit for restriction conditions and cost information, a delivery plan making and cost calculating unit, and a restriction alleviating unit to generate and calculate alleviation plans that reduce delivery costs by adjusting various restrictions such as arrival time, expressway tolls, and driver wages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If only arrival time information is alleviated to reduce the number of vehicles, then the number of vehicles may be reduced, but the delivery cost cannot be effectively reduced because other restrictions (expressway tolls, driver wages) are not considered
Solution Approach 1:
The system changes multiple parameters simultaneously (arrival time, expressway usable distance, actual working hours) rather than just one parameter. By adjusting these parameters in combination and evaluating their impact on delivery cost, the system achieves more effective cost reduction than merely reducing vehicle count through arrival time adjustment alone.
2Loss of energy
If multiple restrictions are alleviated to reduce delivery cost, then the delivery cost may be reduced, but it becomes difficult to select the optimal combination without comparing multiple plans
Solution Approach 1:
The system segments the complex problem of selecting optimal restriction combinations into manageable parts by generating multiple distinct alleviation plans. Each plan represents a different combination of relaxed restrictions, allowing systematic comparison and selection of the optimal plan based on delivery cost evaluation.
Solution Approach 2:
The system implements feedback by evaluating and comparing the delivery costs of multiple generated plans. This feedback mechanism allows the system to identify which restriction combinations yield the lowest delivery cost, enabling informed decision-making without manual analysis of complex trade-offs.
3Quantity of substance
If restrictions are alleviated without systematic evaluation, then the number of vehicles may be reduced, but the actual delivery cost reduction cannot be calculated or confirmed
Solution Approach 1:
The system incorporates a feedback mechanism that systematically calculates and compares delivery costs for different alleviation plans. This ensures that any reduction in vehicle count or other restrictions is accompanied by precise measurement and confirmation of the actual delivery cost impact, preventing unfounded assumptions about cost savings.
Data Source
AI summary
The invention is directed to a delivery plan making system that makes a delivery plan of articles, the system including: a storage unit that stores a restriction condition for making a delivery plan and cost information used for calculating a delivery cost based on the delivery plan; a delivery plan making and cost calculating unit that makes a delivery plan before alleviation of the restriction condition to satisfy the restriction condition and calculates a delivery cost of the delivery plan before the alleviation based on the cost information; and a restriction alleviating unit that alleviate the restriction condition to generate a restriction alleviation plan, wherein the delivery plan making and cost calculating unit further makes a delivery plan after alleviation of the restriction condition so as to satisfy the restriction alleviation plan and calculates a delivery cost of the delivery plan after the alleviation based on the cost information, and outputs the restriction alleviation plan if the delivery cost of the delivery plan after the alleviation is lower than the delivery cost of the delivery plan before the alleviation.


