Probabilistic Work Order Parts Search via Dynamic Sub-lists
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Solution Overview
Problem
Current maintenance management systems are cumbersome and inefficient, requiring technicians to browse through large catalogs to locate parts and equipment, and statistical reports on part failures are not utilized to enhance the search process.
Innovation Solution
The development of methods and systems that create dynamic subsets of larger parts lists based on failure codes, using previous search and failure data to predict the most likely sub-lists associated with a given request, thereby presenting users with a narrowed and accurate view of the equipment parts list.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If technicians browse through large catalogs to locate parts and equipment, then comprehensive parts information is available, but the search process becomes time-consuming and inefficient
Solution Approach 1:
The patent segments the large equipment parts list into multiple sub-lists organized by asset type and failure code. Instead of presenting the entire catalog, the system divides it into manageable subsets that are relevant to specific failure scenarios, allowing technicians to quickly locate needed parts without browsing through all available information.
Solution Approach 2:
The system performs preliminary actions by pre-organizing parts into sub-lists based on historical failure data and asset type correlations. When a failure code is entered, the system has already prepared the relevant sub-lists in advance, eliminating the need for technicians to manually filter through the entire catalog during the search process.
2Reliability
If statistical reports on part failures are generated after work order completion, then failure analysis data is collected, but the data is not utilized to enhance the search process
Solution Approach 1:
The patent implements feedback by using historical failure data and work order completion information to dynamically improve the search process. The system analyzes past failures and their associated parts, then uses this feedback to pre-organize parts into predictive sub-lists that are automatically presented to technicians based on the failure code and asset type, making the search process more efficient with each cycle.
3Adaptability or versatility
If a single master catalog without subdivisions is used, then all parts are centralized, but the catalog becomes cumbersome and difficult to use
Solution Approach 1:
The patent divides the single master catalog into multiple organized sub-lists based on asset type and failure code relationships. This segmentation maintains the comprehensive coverage of all parts while organizing them into logical subsets that are easier to navigate, allowing technicians to quickly find relevant parts without being overwhelmed by the full catalog scope.
Data Source
AI summary
This disclosure describes, generally, methods and systems for creating dynamic subsets of larger equipment parts lists (EPLs). For example, a method may include receiving a search request that includes an associated failure code and a target asset. The method might further include providing an EPL for the asset type, and retrieving sub-lists of the EPL based on previous search requests which are associated with the failure code for the asset type. The method may further predict which one of the plurality of sub-lists has the highest probability of being associated with the failure code for the asset type and might present the predicted sub-list of the EPL to a user.