Warehouse Picking Route Allocation for Shorter Worker Travel
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Logistics automation systems face inefficiencies in product picking and transportation due to reliance on direct human handling, necessitating methods to automate these processes for increased efficiency and reduced work time.
Innovation Solution
A logistics automation system utilizing a processor, memory, and storage to receive orders, allocate tasks, set picking routes, and transmit guide information to worker terminals, optimizing task distribution based on predefined criteria and machine learning models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If direct human handling is used for picking and transportation, then reliability is maintained, but efficiency is low and work time is long
Solution Approach 1:
The patent replaces manual mechanical picking operations with an automated information-processing system. The computer system automatically receives orders, allocates tasks, determines picking routes, and provides guidance to workers, substituting the mechanical decision-making process with automated computational logic to improve efficiency and reduce time
Solution Approach 2:
The system enables self-service by automatically performing task allocation and route optimization without requiring manual intervention. The computer system independently processes orders, determines optimal picking sequences, and provides guidance information, allowing the workflow to serve itself rather than requiring continuous human coordination
2Productivity
If automated task allocation is implemented, then productivity increases, but system complexity increases
Solution Approach 1:
The patent segments the complex logistics management function into distinct modular operations: order reception, task allocation, route determination, and guidance information generation. Each module handles a specific aspect of the workflow independently, making the overall complex system manageable through functional decomposition
Solution Approach 2:
The computer system performs multiple functions through a single integrated platform: receiving orders, allocating tasks based on criteria, determining picking routes, and providing guidance information. This multi-functional approach consolidates what would otherwise require separate systems into one unified automation platform
Data Source
AI summary
Proposed are a logistics automation system and an operating method thereof. The logistics automation system includes a processor, a memory configured to load a computer program executed by the processor, and a storage configured to store the computer program, wherein the computer program comprises instructions for performing an operation for receiving at least one order, an operation for allocating product picking tasks for the at least one order, an operation for setting a picking route according to a predefined criterion for the allocated product picking tasks, and an operation for transmitting guide information about the allocated product picking tasks to a worker terminal, wherein the guide information includes information about product picking location of a product loading area.