The Impact of Poor Quality Data on EAM and CMMS Parts Optimization

Asset-intensive organizations rely heavily on effective management of spare parts to reduce costs while keeping operations running smoothly. Effective management and parts optimization includes stocking the recommended spare parts for critical assets, eliminating duplicate spare parts to reduce inventory costs, and having clear and available documentation that accurately identifies the parts required to maintain an asset.

Spare Parts Optimization

Organizations stock what they believe to be the critical spare parts for key assets, to avoid extended production outages. EAM and CMMS parts optimization requires data to determine which parts are critical, and the optimal number of parts to stock in each case. If the data they use to make these determinations is inaccurate, they stock the wrong parts, or stock insufficient quantities.

Parts Identification & Ordering

During day-to-day operations, it is routine for maintenance staff to need to identify, examine, and order parts. Unfortunately, modern Maintenance Management applications rarely provide the visual content maintenance professionals require to quickly and accurately access the information they need to carry out their jobs. This results in wasted effort spent verifying information, and can lead to ordering wrong inventory.

Incomplete and inaccurate EAM and CMMS data results in:

  • Duplicate spare parts being stocked
  • Critical spare parts being out of stock and then expedited
  • Stocking of spare parts for decommissioned equipment
  • Growing inventories of spare parts
  • Poor parts descriptions and ambiguous data
  • Increased capital spending on spare parts
  • Missed opportunities to reduce inventory