Distributed Order Orchestration Cost of Change Threshold
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Solution Overview
Problem
Current order management systems face challenges in efficiently and automatically handling changes to long-running orders due to the lack of a well-defined transaction boundary, leading to manual intervention and inefficiencies in processing modifications across distributed and asynchronous systems.
Innovation Solution
A distributed order orchestration system that defines a cost of change value and executes business processes to selectively apply changes to orders, allowing for automatic adjustments by generating a new executable process when the cost of change is within a threshold, enabling efficient and automatic modification of order fulfillment processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual intervention is used to adjust long-running orders in distributed systems, then changes can be made to fulfill orders, but the process becomes inefficient and requires significant administrator work
Solution Approach 1:
The patent pre-calculates and stores cost of change values for different order modifications before changes are requested. This allows the system to quickly determine whether a change is economically viable without performing complex calculations at the time of change request, thereby reducing manual administrator work and improving efficiency
Solution Approach 2:
The system automatically evaluates change requests by comparing the cost of change against the value of the order modification. This self-service mechanism eliminates the need for administrators to manually assess each change request, significantly reducing operational complexity and improving productivity
2Reliability
If administrators respond slowly to change requests, then system stability is maintained, but fulfillment processes continue based on original orders and may need to be changed or undone later
Solution Approach 1:
The system provides automated feedback by evaluating change requests against pre-calculated cost of change values and business rules. This immediate automated evaluation allows the system to quickly determine whether to approve or reject changes without waiting for administrator response, reducing time loss while maintaining reliability through rule-based decision-making
3Measurement precision
If selective adjustment of order portions is implemented, then change precision is improved, but system complexity increases due to need for partial order modification capabilities
Solution Approach 1:
The patent segments orders into distinct line items or components that can be independently modified. Each segment has its own cost of change value calculated and stored, allowing selective adjustment of specific portions without affecting the entire order. This segmentation approach enables precise changes while managing complexity through modular processing
4Measurement precision
If cost of change calculation is performed in real-time, then accuracy is improved, but processing speed decreases due to computational requirements
Solution Approach 1:
The system performs cost of change calculations in advance and stores the results in a lookup table or database. When a change request is received, the system retrieves pre-calculated values instead of performing real-time computations. This preliminary action maintains accuracy while dramatically improving processing speed by replacing complex calculations with simple data retrieval operations
Data Source
AI summary
A computer-readable medium, computer-implemented method, and system are provided. In one embodiment, a business process is created, and a cost of change value for the business process is defined. An executable process that is generated from the business process is executed, and a change request is received. It is determined whether the cost of change value is greater than a threshold value, and, when the cost of change value is not greater than the threshold value, the change request is initiated.