Work Planning System for Warehouse Shipping Order Bundling
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Solution Overview
Problem
Conventional work planning systems for warehouses do not consider the sequence of starting work for bundling shipping orders, leading to inefficiencies in resource allocation and optimization.
Innovation Solution
A work planning system that uses a processor and storage unit to classify shipping orders into tasks based on specific conditions and work network information, and generates a process plan that allocates resources to each task, optimizing overall work performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a work manager manually determines the order of bundling shipping orders, then flexibility in decision-making is maintained, but resource allocation efficiency deteriorates due to lack of systematic optimization
Solution Approach 1:
The system enables automatic work sequencing and resource allocation through the processor, which independently determines the optimal bundling sequence and resource assignment based on stored shipping order data and work network information, eliminating the need for manual manager intervention while achieving systematic optimization
Solution Approach 2:
The manual mechanical decision-making process by the work manager is replaced with an automated information processing system that uses the processor to calculate and determine work sequences and resource allocation, substituting human cognitive operations with computational algorithms
2Device complexity
If work sequence is not optimized, then simple planning processes are maintained, but resource utilization deteriorates with likelihood of shortages or excesses
Solution Approach 1:
The system performs preliminary calculation and determination of the optimal work sequence and resource allocation before actual execution, using the processor to analyze shipping orders and generate the optimal bundling sequence in advance, ensuring resource availability is predetermined and optimized before work begins
Solution Approach 2:
The processor acts as an intermediary between the stored work network information and the actual work execution, calculating and determining the optimal sequence and resource allocation, serving as a computational mediator that translates raw data into optimized work plans
3Device complexity
If manual determination of work order is used, then system complexity is reduced, but overall optimization deteriorates including resource allocation
Solution Approach 1:
The processor autonomously performs the optimization calculations and determines the optimal work sequence and resource allocation without external intervention, making the system self-sufficient in generating optimized plans while maintaining relatively simple system architecture
Data Source
AI summary
Provided is a work planning system including a processor and a storage unit connected to the processor. The storage unit stores a plurality of shipping orders, work network information pertaining to a process for work necessary for shipping, and resource information pertaining to a plurality of resources that can be used for work. The processor classifies work corresponding to the plurality of shipping orders into a plurality of tasks on the basis of a prescribed condition and the work network information, generates a process plan including allocation of the resources to the process for each of the tasks on the basis of the resource information, and outputs the generated process plan.


