Warehouse Management System Automated Request Re-processing
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Solution Overview
Problem
In automated warehouses, errors in warehouse management systems (WMS) lead to cumbersome and costly manual interventions to resolve operational issues, causing delays and increased operational costs due to the need for physical intervention to re-process requests.
Innovation Solution
Implementing a request-reply based communication system within the WMS that automatically re-processes requests after a dynamically determined time interval, using business logic to assess error types and contexts, thereby reducing the need for manual intervention and optimizing operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual intervention is used to resolve errors in WMS, then operational errors can be investigated and resolved, but operational costs and delays increase
Solution Approach 1:
The system enables self-service error resolution through automated retry mechanisms. When a request fails, the system automatically determines whether to retry based on error type, and performs retries without human intervention for recoverable errors, allowing the system to resolve its own operational issues
Solution Approach 2:
The system implements feedback loops where error responses are analyzed and used to determine retry strategies. The error handling process feeds back into the request processing flow, enabling dynamic adjustment of retry behavior based on the nature and context of errors encountered
2Reliability
If manual intervention is used to resolve errors in WMS, then operational errors can be investigated and resolved, but operational costs increase
Solution Approach 1:
The system performs self-service error resolution through automated retry mechanisms, eliminating the need for human operators to manually intervene in routine error cases. The automated system assesses errors and executes retries without human input, reducing labor costs and operational overhead
Solution Approach 2:
The system replaces manual mechanical intervention with automated electronic processing. Instead of human operators physically investigating and resolving errors, the system uses automated error assessment logic and retry mechanisms to handle operational issues
3Extent of automation
If automated re-processing is implemented, then manual intervention is reduced, but system complexity increases
Solution Approach 1:
The error handling system is segmented into distinct functional components: error detection, error assessment, retry decision-making, and retry execution. This modular approach manages complexity by breaking down the automated re-processing function into manageable, independent modules
Solution Approach 2:
The system employs dynamic error assessment that adapts retry behavior based on the specific error type and context. Rather than a fixed retry mechanism, the system dynamically determines whether to retry, how many times to retry, and when to escalate to manual intervention, managing complexity through adaptive behavior
Data Source
AI summary
Methods and system are disclosed that improve warehouse management operations. in one aspect, an enterprise application (e.g., warehouse management system) receives a message to process a request from a programmable logic controller. In response to a failure to process the request, status identifiers may be determined. The status identifiers may indicate errors that may have resulted in response to the failure to process the request. Based on the errors, the enterprise application may be configured with time intervals to re-process the request. After a lapse of the configured time interval, the enterprise application may be asynchronously triggered to automatically re-process the request.