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At this year's ACHEMA trade show, the world's largest and most important fair for the process, the industry associations ZVEI and NAMUR, in collaboration with ARC Advisory Group, organized a series of presentations and panel discussions which were open to the general public. In this blog we introduce you to the first part of the discussion on: "Information driven asset performance in the operate and maintain phases of the asset life cycle".
Experts participating in the discussion were Peter Spelberg-Jahn, product manager for Siemens COMOS, Milo Scheeren, CPO of BlueCielo ECM solutions, Mike Brooks, CEO of Mtell and Yosuke Ishii, project manager mobile solutions at Yokogawa.
ALIM Data Quality
Milo Scheren of BlueCielo ECM Solutions drew the audience's attention to the ALIM data quality risk. Low data quality can cause, amongst others, non-compliance with regulations, or a safety risk, as staff may take wrong decisions based on wrong data.
Full remediation can be expensive, thus focusing on the most important data might be more affordable and effective, as inspecting data for quality is a tedious and costly job. Scheeren recommends to structure data and compare them with reference data libraries from ISO standards. Dashboards representing data quality can guide owner-operators in assessing urgencies and importance of gaps, and can be used as a basis to create a plan Milo said that the benefit of data quality management is in the range of 2 to 5 percent of the maintenance budget, in addition to longer term time savings.
Peter Spelberg-Jahn, product manager for Siemens COMOS agreed with the importance of ALIM data quality, and noted that only important, often used data needs to be structured, but that rarely used, auxiliary data used can remain unstructured. The challenge according to Peter is to know what is important and what isn't. Experience shows that this is highly dependent on the company and culture, and cannot be derived in a straightforward manner from equipment categories or other PLM criteria. This means owner-operators need to asses which equipment or data have most impact on their performance, based on their operating and maintenance strategies.
A participant asked what the consequences were of wrong data. Peter explained that an object oriented centralized data hub will show inconsistencies, and this forces the user to decide which data is wrong and which is right. Peter indicated that good asset information management throughout the life cycle can save up to 50 percent of engineering and maintenance time.
In our next blog we report on the discussion about predicting asset performance degradation and the evolving automation pyramid using connected handhelds in the plant. For a detailed introduction about Asset Lifecycle Management, see our recent Insight.
Keywords: Asset Lifecycle Management, ACHEMA, ALM, Data quality, Handover, ISO 15926, ISO 14224, ISO 18101, structured, unstructured, ARC Advisory Group.