Not a Member?

Gain industry knowledge, learn best practices, network with peers, and advance your career with the largest not-for-profit association in the pharmaceutical industry.

Join now and get Member Pricing on your purchase!

Learn More
* ISPE does not pay customs or duties on international shipping.
Shipping and Return Policy
Publication Order Form

Guidance Document License Agreement

The contents of ISPE’s guidance documents, both printed and digital, are protected by law and intended solely for the personal non-commercial use of the individual purchaser.

Reproduction of multiple copies of these materials, in whole or in part, for the purposes of commercial distribution is prohibited.

Membership discounts are available only to current members and are intended for individual use of the guides, not for resale.

View the Guidance Document License Agreement   

 

 

Selected currency: US Dollars.
 
Asset Information Lifecycle Modelling
Asset Information Lifecycle Modelling
Asset Information Lifecycle Modelling
The information that forms the records of an operating facility are increasingly being recognized as a vital part of a facility. This 'digital asset' reflects the value of data that mirrors the physical assets. The genesis of this digital asset (engineering data) is created and collected from various disparate sources. This information is also consumed by a variety of disparate functions. To facilitate the efficient creation, manipulation and consumption of engineering information it is important to define a master data model for the whole asset lifecycle. The identification of the information requirements to each of the asset lifecycle phases, processes and technologies produces a master data model that forms part of an organizations information governance strategy.

This governance provides contractual clarity to stakeholders involved in producing data such as vendors and suppliers. It supports project execution strategies such as BIM and Lean. A master data model is key for integration projects across business function and lifecycle phases. It is a significant element in an engineering information gathering and remediation exercise for existing facilities.

Speakers:
Jeremy Freeman holds a degree in Mechanical Engineering and an MBA and has been with PM Group since 2000. To date, Jeremy has worked in a number of engineering, project management and business development positions in the USA and Europe. He was involved with the search, selection and acquisition of specialist engineers, PM Greene Engineers in Silicon Valley, USA. Jeremy’s main focus is on the new business development as well as Key Account Management to strategically grow PM Group’s business globally. He also acts as a project sponsor on Capital Projects in Life Science sector. Jeremy has a cross range of experience in the Engineering Sector that covers Operations including maintaining P&L Account, HR, Sales & Marketing, Market Research, Budgeting, Business Strategy, Team Building, Change Management and Delivering Business Excellence.

Colum Lynch is a consultant engaged in development of information management strategies, data maturity assessments, equipment class library management and 'cradle to grave' asset information management for a variety of industries including Pharmaceuticals, Oil & Gas, Petrochemicals, and Mining.Practical experience in implementing data-centric project delivery systems and integrating information flow across the information lifecycle phases including handover from CAPEX to OPEX.
Discounted member price: 49.00
149.00
You could save 67.1%
** Permanently Retired Due to Lack of Enrollment **
 
Education Level: Intermediate
The information that forms the records of an operating facility are increasingly being recognized as a vital part of a facility. This 'digital asset' reflects the value of data that mirrors the physical assets. The genesis of this digital asset (engineering data) is created and collected from various disparate sources. This information is also consumed by a variety of disparate functions. To facilitate the efficient creation, manipulation and consumption of engineering information it is important to define a master data model for the whole asset lifecycle. The identification of the information requirements to each of the asset lifecycle phases, processes and technologies produces a master data model that forms part of an organizations information governance strategy.

This governance provides contractual clarity to stakeholders involved in producing data such as vendors and suppliers. It supports project execution strategies such as BIM and Lean. A master data model is key for integration projects across business function and lifecycle phases. It is a significant element in an engineering information gathering and remediation exercise for existing facilities.
 
 
This self-paced, pre-recorded course includes a downloadable presentation for note-taking, engaging graphics, links to regulatory information, assessments to measure your comprehension and the ability to start and stop at any time, beginning where you left off.

ISPE CEUs are provided once you achieve an 80% passing grade and complete the evaluation as required.

Approximate Course Duration: 60 minutes (this is a self-paced course)

*NOTE* You will have 7 calendar days to access and complete this course from time of purchase.

ISPE CEUs: .10 ISPE CEUs will be awarded upon successful completion of grading requirements

Member Price: $ 49.00
Non Member Price: $ 149.00
Item #: WEBASSETINUS