Data types, Standards & Industry Initiatives
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The consequences of bad data
Data & Sustainability
Types of Information & Data
• Material / Item master data
• Inventory data
• Tag master indices
• Equipment lists.
• Maintenance and criticality data
• Bill of Materials (BoM)
• Spare parts lists (SPIR / SPIL)
• Spares commonality overviews
• Supplier Documentation
• Purchasing frequency data
• Short & long text descriptions
• Reference data libraries / Class Libraries
• Relationships – plant & equipment hierarchies, document
links.
Standards & Definitions
We can help select and apply the best standard, or
combiantion of standards, for your operations.
Our broad experience with standards includes:
• CFIHOS (Capital Facilities Information Handover
Specification. )
• eClass:
• IEC standards (e.g IEC CDD, IEC 61355 and IEC 60050)
• ISO 15926
• NORSOK
• PIDX
• POSC Caesar
• READI TIRC
• UNSPSC
• Asset Administration Shell & its Sub-models
• VDI 2770
Find out more at our Data Standardisation Services page.
Industry Initiatives
We are active participants in a range of industry initiatives,
working together with our customers:
• CFIHOS (Capital Facilities Information Handover
Specification – JIP 36) and JIP 33 (Joint Industry Programme
33) groups led by IOGP
• Digital Data Chain Consortium, focused on improvements
for equipment and parts information for the chemical,
process and pharmaceutical industries
• DEXPI aims to develop a common data exchange standard
for the process industry.
• EqHub, an industry initiative in Norway led by Offshore Norge
Find out more at our Data Standardisation Services page.
Typical customer systems
that we work in:
The problem with bad material, plant and asset data is that
it is often the first domino which leads to further problems,
large and small. At best it causes daily headaches, wastage and inefficiency in operations; at worst loss of life and loss of
production. In all cases revenue suffers. The longer bad plant
data resides in a system, the more inevitable it becomes
that issues will compound over time.
The weak link in the data may be known, but for every known
gap there are normally many more unknown. Any of them, at
any point in time, may cause a breakage. One day, the
breakage could be catastrophic, causing an existential
threat. The question is, how can businesses take action to
insulate their operations from risk and protect themselves
from forthcoming catastrophe?
To move towards a more circular and sustainable business you need accurate data to make informed decisions. The value of existing materials, equipment and products can be recovered but only if you have the information available.
Minimise downtime and overhaul = Lower costs and increased revenue
Faster turnaround and reuse of assets = Minimise excess stock and improve environmental circularity
Minimise need for materials = Reduce waste and transport
Scope 2
Indirect
From (purchased) energy
Emissions due to use of power purchased from others
Expertise supported by technology means:
✓ Fewer revisions and submissions
✓ Fewer emails
✓ Reuse of information
✓ Smaller teams
✓ More efficient projects
Scope 3
Indirect
From the supply chain
Emissions due to procurement/sale, use and disposal of products
High quality information and improved processes can lead to:
✓ Less equipment & parts bought
✓ Reduced transport & storage
✓ Reduced materials to dispose at end of life
✓ Reuse information = reduced submissions
ISO 27001 Certified