IHS White Paper: MRO Data Optimization

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Using a Schema and Automated Conversion Software to Manage Maintenance, Repair and Operations (MRO) Data

Modern industrial, process, and manufacturing organizations often require hundreds of thousands of parts for maintenance, repair, and operations (MRO). But the item descriptions that populate their Enterprise Resource Planning (ERP), Enterprise Asset Management (EAM), and Procurement systems often contain tens of thousands of unidentifiable, duplicate, or non-comparable MRO items. Companies need an effective way to optimize and manage their industrial MRO materials information. They require a single, consolidated catalog with complete and consistent descriptions, free of duplication and ambiguity.

To solve their MRO data problems, companies must cleanse the data to insure that it is accurate, up-to-date, and non-duplicative. Auto-classification software can be a highly efficient solution for cleansing MRO data. But effective auto-classification software mustinclude:

1. A standard framework (schema) that defines catalog itemdescriptions and attributes.
2. Rules to identify and extract words and values from legacy (source) descriptions.
3. Rules to fit the extracted words and values into the targetschema.

This White Paper highlights an effective process and proven solution for MRO parts data optimization developed by IHS Intermat Solutions. It includes:

• The Standard Modifier Dictionary (SMD)(tm), the world's mostwidely-used cataloging methodology for MRO data.
• AutoCon(tm), an automated conversion system for developing andmaintaining a structured MRO catalog.

This White Paper discusses the importance of a standard taxonomy/schema and associated data dictionary, and associated benefits. You'll learn the requirements of an effective schema, including:

• Classes, subclasses, and attributes/characteristics
• Definitions and guidelines
• Synonyms
• Sample values
• Item (product) images
• Search capabilities
• Multi-lingual capabilities
• Compatibility with ERP, EAM, and MDM