Business Process Failure Criticality Evaluation
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Solution Overview
Problem
Conventional failure analysis tools are inadequate for evaluating the criticality of weaknesses in complex business processes with multiple functions, as they focus on root cause elimination rather than mitigation and are not suited for processes where root cause elimination is impractical.
Innovation Solution
The development of apparatus and methods for electronically evaluating the criticality of weaknesses in business processes by compiling and scoring data related to business functions and operational steps, calculating relative criticalities of potential failure modes, and prioritizing mitigation responses based on quantified data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional failure analysis tools are used to evaluate business processes, then root cause elimination can be identified, but the tools are not suited for complex processes with multiple functions and do not incorporate mitigation options
Solution Approach 1:
The failure analysis tool is enhanced to handle multiple business functions simultaneously within a single process evaluation. The system can identify failures affecting different functions (e.g., customer service, inventory management, order processing) and assess their individual and combined impacts, making it universally applicable to complex multi-function processes rather than requiring separate analysis for each function.
Solution Approach 2:
The tool incorporates dynamic mitigation option evaluation, allowing users to input and assess multiple potential mitigation strategies for each identified failure mode. The system dynamically calculates risk reductions based on different mitigation scenarios, enabling adaptive failure analysis that evolves with the specific needs of complex processes.
2Reliability
If conventional failure analysis focuses on root cause elimination, then failure prevention can be addressed, but mitigation options are not incorporated when root cause elimination is impractical
Solution Approach 1:
Instead of requiring complete root cause elimination, the system accepts partial mitigation measures that provide sufficient risk reduction. Users can input mitigation options that address only portions of the root cause or provide alternative controls, and the system evaluates whether these partial measures achieve adequate risk reduction without requiring full root cause elimination.
Solution Approach 2:
The tool changes the evaluation parameter from binary root cause elimination success to continuous risk reduction assessment. By quantifying the impact of failures and the effectiveness of mitigation options in terms of risk reduction percentages, the system allows flexible assessment of mitigation practicality rather than requiring complete elimination of root causes.
3Reliability
If multiple failure modes are identified in processes with multiple functions, then comprehensive failure analysis is achieved, but the complexity of evaluating and prioritizing mitigation responses increases
Solution Approach 1:
The comprehensive failure analysis is segmented into individual failure modes, each associated with specific business functions and impact levels. The system processes and presents mitigation options separately for each failure mode, allowing systematic evaluation without overwhelming complexity. This segmentation enables prioritization based on individual failure impacts rather than requiring simultaneous evaluation of all failures.
Solution Approach 2:
The system incorporates feedback mechanisms that allow users to review and adjust mitigation priorities based on the evaluated impacts. After initial assessment of multiple failure modes and their effects on different business functions, the system provides feedback that highlights critical areas requiring prioritized mitigation, simplifying the decision-making process for comprehensive failure coverage.
Data Source
AI summary
Apparatus and methods for electronically evaluating the criticality of a weakness in a process. The apparatus and methods may compile and store data related to business priorities and business operations. Subsequent calculations quantifying the impact of a process step failure may incorporate the stored business process data to arrive at a quantified measure of the relative criticality of a failure in the context of the process as a whole.