Abstract
Finnish technology companies have shifted their focus
from product delivery to life cycle services. Therefore
they are currently developing global fleet based
industrial services, which are seen as means to sharpen
their competitiveness. The objects of these services, the
customer asset fleets, are typically complex and
expensive, and they are characterized with high
profitability, efficiency and safety demands. Also the
demand for locally customized global services and
changing business ecosystems increase service operation
complexity and risk the service efficiency.
In order to manage the risk related to the fleet service
delivery and provide services adding customer value,
these services are information intensive and require
life-cycle data collection also on the customer sites.
Currently technical and economic life-cycle data is often
fragmented in value ecosystems (networks) around the
fleet and its full potential is rarely utilized.
Therefore innovative technological solutions are needed
which better enable integration, harmonization, sharing
and standardization of life-cycle data. The key to novel
service delivery is, however, to process and upgrade the
accumulated data into business knowledge which can be
used in enhanced decision-making and network level
cooperation. This should open new opportunities not only
for typical fleet services like maintenance but also to
new business models, e.g. performance based contracts and
shared use of assets, to 3rd party services and even to
novel digital product lines.
This deliverable is the first in the series of reports
representing the description of Data to Business
Knowledge (D2BK) model and its implementation in
industrial ecosystems. The deliverable collects the
state-of-the art practices in participating companies on
life-cycle information and business data sharing, asset
governance, decision making processes and end-customers'
business ecosystems. The deliverable also presents an
analysis of the different data sources (e.g. hard and
soft data) and decision-making needs in the ecosystem. In
addition, the deliverable outlines the case studies of
the participating companies.
The research and development work described in this
deliverable has been conducted in the "Fleet based
industrial data symbiosis" project. Project belongs to
the "Service Solutions for Fleet Management" program
under FIMECC Service Business theme (FIMECC/S4Fleet P3).
Project focuses on the area of the critical enabling
technologies and drives research that enables the vision
of global fleet based service business.
Original language | English |
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Number of pages | 29 |
Publication status | Published - 2015 |
MoE publication type | D4 Published development or research report or study |
Keywords
- business knowledge
- data sources
- Fleet Asset Management
- industrial services
- life cycle