Critical Spare Part Classification
ScottMadden has helped many organizations with their supply chain analytics and data science needs to tackle critical spare part classification problems successfully. Contact us to learn how we can help support your digital solutions projects.
At A Glance
Master Data Set
Compiled master data set from multiple disparate sources
Attribute Identification
Created attribute identification process for critical spare parts
Validated Model
Developed a validated model with fine-tuned parameters based on feedback
Challenge
A publicly traded fuel-processing entity sought an objective methodology to identify a critical spare parts classification procedure for inventory items critical to uninterrupted operations. The intent was to review available data, align on which key attributes contribute to a critical spare part, and develop an automated solution to continuously review inventory and classify critical spare parts for review and confirmation.
Process
- Identified available but disparate data sources in conjunction with client subject matter experts
- Aggregated data into a single, usable, and easily refreshed master data set
- Determined relevant attributes of mission-critical spare parts and weighted them based on the facility manager’s and field personnel’s feedback
- Piloted identification and scoring processes
- Conducted review sessions with key personnel to acquire feedback and validate and fine tune the model outcomes and parameters
- Recommended automation solutions to reach the largest number of users without the need for specialized software or programming knowledge
Result
- Continuously updated, deployment-ready custom critical spare parts classification solution
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Let’s Work Together
We don’t solve problems with canned methodologies; we help you solve the right problem in the right way. Our experience ensures that the solution works for you.