Modeling%20of%20total%20process%20management%20and%20information%20flow%20in%20infrastructure%20projects

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Modeling of total process management and
information flow in infrastructure projects
Infra 2010 - program Project outline 8.3.2006
Helsinki University of Technology CEM
Construction Economics and Management www.cem.tkk.
fi/fsr/
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Map of projects in Infra 2010 program
deliveries and interactions
NEED FOR PROJECTS

• DATA MODEL TECHNOLOGY
• technical solution,
• selection of standard,
• feasibility study
• design control
• production control

Advantages due to implementation of data model
Management by contract
ONGOING PROJECTS
Customer communication
DEMONSTRATIONS Data model for roads and
rails Cases based on current databases
2. CUSTOMER RELATIONSHIPS
1. DATA MODEL
Other needs for process development, e.g.
ground for payment as incentive, assessment of
total economic efficiency, risk management
Modeling of total process management and
information flow in infrastructure projects
PILOTING
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Background and goals

• Basis
• In infrastructure projects management of total
  process and its components is currently
  unsatisfying (e.g. feedback from clients)
• Implementation of data model in infrastructure
  management will change significantly design
  process and its deliverables, which promotes need
  for process development
• Process development will improve productivity and
  efficiency, support establishment of good
  customer relationships and create new business
  and competitiveness
• Client organisations will require utilisation of
  data models in the near future
• Goals for the development project
• Description of infrastructure management process
  covering all phases through out life cycle in
  data model based operating environment.
• Determination of input and output data in
  different process phases and impact of data
  model based information management to operations
  of different parties

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What is a data model?

• Geometry model
• Describes the end product in 3D -model
• Features have attributes and parameters, which
  define the end product
• Structural model
• Describes the product in structures
• The structures include intelligence (e.g.
  component properties and substance), that is
  property information
• Information model
• Includes more detailed information than geometry
  and structural models
• Various types of information (e.g. quality
  requirements, normative consumption, cost
  information)

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Project stages

• A new infrastructure management process is
  created for basis of the project. The new process
  described will apply data model based information
  covering entire life cycle
• Needs for process development and changes are
  surveyed through expert interviews and workshops,
  where all different parties are involves
  (clients, companies of supplier network,
  organisations developing the data model). The
  interviews and workshops serve for investigation
  of
• how the processes of different parties will
  change in design, calculation, production, and
  maintenance planning
• what information is needed as basis for different
  process components and what output information
  they deliver
• how the total process will change, when input
  data is different from the current data
• International experiences how implementing data
  model has influenced process management and needs
  to change it are looked into. Experiences in
  Norway (especially geometry model) and U.S
  Stanford and CIFE (information model) are in
  focus
• The total process (next slide) is investigated in
  2-3 different infrastructure projects. The
  feasibility of process models is tested in
  interaction with industry.

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Project deliverables

• The main delivery of the project is the new
  infrastructure management process, which
  describes
• the future operation and performance in different
  process components
• information flows (input and output data)
• the benefits data model is offering to different
  organisations (e.g. less mistakes, input data is
  easier available, time savings, integration of
  design and building)
• requirements and challenges of implementing the
  data model (e.g. knowledge, company-based
  development of operations, IT-investments)
• need for new knowledge and services
• The process description will cover the total
  life cycle of an infrastructure object from
  acquiring input data to final disposal.
• Project deliverables support the achieving
  the goals of Infra 2010-program and they will by
  implemented gradually throug piloting.
• Project deliverables offer a platform for
  development and supply of new services.
  Information management and programs for tailored
  data applications require special expertise (e.g.
  timetable management, data model upkeep).

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Data model based life cycle management of
infrastructure
LIFE CYCLE MANAGEMENT
INVESTMENT
MAINTENANCE
Design-Build Maintenance
Procurement
Design-Build
Build
FUNCTIONAL AND
STRUCTURAL MEASUREMENTS
ACQUIRING INPUT DATA
DESIGN
BUILDING
VERIFYING THE BUILD
STRUCTURE
INPUT DATA MODEL

• DATA MODEL
• GEOMETRY MODEL
• STRUCTURAL MODEL
• INFORMATION
• MODEL

• PRODUCTION
• MODEL
• STRUCTURAL MODEL
• INFORMATION
• MODEL

AS-BUILD MODEL
MAINTENANCE MODEL
RESIDUAL VALUE MODEL
3D simulation and visualisation
automation on construction site
TUOTETIETOMALLI
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Why is the project needed?

• With out process development the implementation
  and profitability of data model investments
  remains low
• Client organisations will require applying of
  data model. Implementation of data model requires
  development activities in the individual
  companies. The project helps companies in
  identifying development needs and promoting
  development actions
• Those organisations, which go in the front line
  in applying data model, get the first mover
  advantage and gain most for their business
• Process development improves productivity,
  supports establishment of good customer
  relationships and creates new business
  opportunities
• Development needs cover
• improvement of total process in infrastructure
  management (both investments and maintenance) and
  adjustment of process components integration
• development of processes in individual
  organisations
• creation of new knowledge either for client
  organisations, designers, contractors or new
  service providers
• The project is an important part in Infra
  2010-program and necessary for achieving program
  goals.

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Time schedule and resources

• Project duration 20 months beginning 1.9.2006
• Personnel resources for project execution
• Project manager, involved also as part-time
  senior researcher
• Prof. Jouko Kankainen
• part-time senior researcher PhD Laura Apilo
• researcher, preparing doctoral thesis M.Sc.
  Ari-Pekka Manninen
• assistant researcher Jussi Hiekka
• Total volume of the project is 337 000 . Project
  is funding by
• TEKES
• Tiehallinto
• Ratahallintokeskus
• Suomen Maarakentejain Keskusliitto r.y.
• Tieliikelaitos
• Lemcon Oy
• Oy VR-Rata Ab
• Ramboll Finland Oy

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Contacts

• INPRO-project
• Jouko Kankainentel. 358 500 506864E-mail
  jouko.kankainen(a)tkk.fi
• Laura Apilotel. 358 40 5518216E-mail
  laura.apilo(a)tkk.fi
• Ari-Pekka Manninentel. 358 50 5720108E-mail
  ari-pekka.manninen(a)tkk.fi
• Homepage
• http//www.cem.tkk.fi/fsr/Inpro/index.htm
• Visiting Address
• Tammasaarenkatu 3, House of Pinta, 5th floor.
• Mail Address
• P.O. BOX 9800
• 02015 TKK
• Finland