Warehouse Vehicle Routing Optimization for Multi-Building Logistics
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Solution Overview
Problem
Conventional berth reservation systems fail to efficiently assign vehicles to berths when vehicles need to go around multiple buildings in a warehouse, leading to increased loading waiting times and suboptimal work environments for drivers.
Innovation Solution
An information processing apparatus that determines a go-around order for vehicles based on loading/unloading times across multiple buildings, calculates evaluation points for vehicle candidates, and assigns vehicles to target periods at berths to minimize loading waiting times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional berth reservation systems are used, then vehicle assignment is simple, but loading waiting time increases when vehicles need to go around multiple buildings
Solution Approach 1:
The system performs preliminary calculation of optimal go-around orders and vehicle assignments before vehicles arrive at the warehouse. By pre-determining the sequence of buildings to visit and assigning vehicles to specific berths in advance, the system minimizes waiting time without requiring complex real-time decision-making mechanisms.
Solution Approach 2:
The system dynamically adjusts vehicle assignments and go-around orders based on multiple variables including building locations, product distribution, vehicle capacities, and berth availability. This dynamic optimization approach allows the system to adapt to different scenarios while maintaining manageable complexity through structured algorithms.
2Productivity
If vehicles are assigned to multiple buildings without optimized go-around order, then vehicle utilization improves, but loading waiting time increases
Solution Approach 1:
The system calculates the optimal go-around order for each vehicle before assignment, determining the most efficient sequence of buildings to visit based on product locations, vehicle capacity, and delivery requirements. This preliminary optimization ensures high vehicle utilization without excessive waiting time at berths.
Solution Approach 2:
The system varies multiple parameters including building visit sequences, vehicle assignment configurations, and berth allocation timing to find the optimal balance between vehicle utilization and waiting time. By adjusting these parameters systematically, the system achieves improved productivity without sacrificing efficiency.
3Measurement precision
If conventional berth assignment is used, then system operation is simple, but vehicle assignment accuracy decreases for multi-building routes
Solution Approach 1:
The system segments the vehicle assignment problem into distinct components: determining go-around order for each vehicle, calculating optimal berth assignment timing, and coordinating multiple vehicles across multiple buildings. This segmentation allows for precise optimization of each component while maintaining overall system manageability.
Solution Approach 2:
The system introduces an intermediary optimization layer that processes assignment requests, calculates optimal go-around orders, and determines berth allocations based on multiple constraints. This intermediary processing layer enhances assignment accuracy without requiring direct complex interactions between all system components.
Data Source
AI summary
An information processing apparatus includes a processing unit implemented as one or more hardware processors. The processing unit determines an order on the basis of a loading/unloading time for each of a plurality of vehicles, the order being an order of going around a plurality of buildings each including one or more loading/unloading working areas, and the loading/unloading time being calculated on the basis of an allocated stock among stocks of goods stored in the plurality of buildings. The processing unit assigns one or more vehicles selected from the plurality of vehicles on the basis of the order to each of one or more target periods during which loading/unloading work is performed in each of the one or more loading/unloading working areas.