Knowledge intensive service concepts for fleet asset management

Jyri Hanski, Pasi Valkokari, Helena Kortelainen, Sini-Kaisu Kinnunen, Antti Ylä-Kujala, Antti Herala, Salla Marttonen-Arola, Timo Kärri

Research output: Book/ReportReportProfessional

Abstract

Finnish technology companies have shifted their focus from product delivery to life cycle services. At present these companies are aiming to develop global fleet based industrial services, which could be seen as means to increase their competitiveness. 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 from the customer sites. At the moment technical and economic life-cycle data is often fragmented in business ecosystems (networks) and its full business potential is rarely utilized. Therefore, innovative technological and business model 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 that can be used in important decision-making and network level cooperation. This should offer new opportunities not only for typical fleet services like maintenance but also to new earning logic, 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 second in the series of reports representing the description of Data to Business Knowledge (D2BK) model and its implementation in industrial ecosystems. The findings presented in this publication are from the project Fleet based industrial data symbiosis (FIMECC/S4Fleet P3). The publication presents the State-of-the-practice in value-based asset and fleet management services and the results of their comparison against D2KB were presented. Also companies participating in S4Fleet P3 have presented their preliminary fleet service concepts which were analysed from the perspective of D2BK-model. These studies were conducted in order to find out how the D2BK model can be utilised in the assessment and development of fleet service concepts. This publication presents some existing services and service concepts descriptions that are related to fleet data management. The list of concepts related to fleet asset management that were presented in deliverable 1 (Kortelainen et al. 2015) is complemented by concepts found in the interviews and case studies conducted for the project. The services and service concepts are described shortly. A more detailed analysis of the service and service concepts, based on the data used, data refinement methods and value of data, is also presented. Based on the presentations of companies in S4Fleet P3 kick-off workshop, the fleet service concepts are analysed from the perspective of the first version of D2BK-model. Also the fleet asset management concepts of companies are analysed in the same way as the service concepts found in the literature. The comparison of these knowledge intensive service concepts with the D2KB model was determined by the expert judgment of the researchers.
Original languageEnglish
Number of pages34
Publication statusPublished - 2016
MoE publication typeD4 Published development or research report or study

Fingerprint

Knowledge-intensive services
Asset management
Life cycle
Service delivery
Business knowledge
Assets
Data collection
Expert judgment
Competitiveness
Knowledge model
Industrial ecosystem
Symbiosis
Customer value
Economics
Decision making
Industrial services
Standardization
Digital products
Service management
Data management

Keywords

  • Business Knowledge
  • data sources
  • Fleet Asset Management
  • Industrial services
  • life cycle

Cite this

Hanski, J., Valkokari, P., Kortelainen, H., Kinnunen, S-K., Ylä-Kujala, A., Herala, A., ... Kärri, T. (2016). Knowledge intensive service concepts for fleet asset management.
Hanski, Jyri ; Valkokari, Pasi ; Kortelainen, Helena ; Kinnunen, Sini-Kaisu ; Ylä-Kujala, Antti ; Herala, Antti ; Marttonen-Arola, Salla ; Kärri, Timo. / Knowledge intensive service concepts for fleet asset management. 2016. 34 p.
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author = "Jyri Hanski and Pasi Valkokari and Helena Kortelainen and Sini-Kaisu Kinnunen and Antti Yl{\"a}-Kujala and Antti Herala and Salla Marttonen-Arola and Timo K{\"a}rri",
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Hanski, J, Valkokari, P, Kortelainen, H, Kinnunen, S-K, Ylä-Kujala, A, Herala, A, Marttonen-Arola, S & Kärri, T 2016, Knowledge intensive service concepts for fleet asset management.

Knowledge intensive service concepts for fleet asset management. / Hanski, Jyri; Valkokari, Pasi; Kortelainen, Helena; Kinnunen, Sini-Kaisu; Ylä-Kujala, Antti; Herala, Antti; Marttonen-Arola, Salla; Kärri, Timo.

2016. 34 p.

Research output: Book/ReportReportProfessional

TY - BOOK

T1 - Knowledge intensive service concepts for fleet asset management

AU - Hanski, Jyri

AU - Valkokari, Pasi

AU - Kortelainen, Helena

AU - Kinnunen, Sini-Kaisu

AU - Ylä-Kujala, Antti

AU - Herala, Antti

AU - Marttonen-Arola, Salla

AU - Kärri, Timo

N1 - SDA: SHP: Pro-Io-T Project code: 104824

PY - 2016

Y1 - 2016

N2 - Finnish technology companies have shifted their focus from product delivery to life cycle services. At present these companies are aiming to develop global fleet based industrial services, which could be seen as means to increase their competitiveness. 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 from the customer sites. At the moment technical and economic life-cycle data is often fragmented in business ecosystems (networks) and its full business potential is rarely utilized. Therefore, innovative technological and business model 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 that can be used in important decision-making and network level cooperation. This should offer new opportunities not only for typical fleet services like maintenance but also to new earning logic, 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 second in the series of reports representing the description of Data to Business Knowledge (D2BK) model and its implementation in industrial ecosystems. The findings presented in this publication are from the project Fleet based industrial data symbiosis (FIMECC/S4Fleet P3). The publication presents the State-of-the-practice in value-based asset and fleet management services and the results of their comparison against D2KB were presented. Also companies participating in S4Fleet P3 have presented their preliminary fleet service concepts which were analysed from the perspective of D2BK-model. These studies were conducted in order to find out how the D2BK model can be utilised in the assessment and development of fleet service concepts. This publication presents some existing services and service concepts descriptions that are related to fleet data management. The list of concepts related to fleet asset management that were presented in deliverable 1 (Kortelainen et al. 2015) is complemented by concepts found in the interviews and case studies conducted for the project. The services and service concepts are described shortly. A more detailed analysis of the service and service concepts, based on the data used, data refinement methods and value of data, is also presented. Based on the presentations of companies in S4Fleet P3 kick-off workshop, the fleet service concepts are analysed from the perspective of the first version of D2BK-model. Also the fleet asset management concepts of companies are analysed in the same way as the service concepts found in the literature. The comparison of these knowledge intensive service concepts with the D2KB model was determined by the expert judgment of the researchers.

AB - Finnish technology companies have shifted their focus from product delivery to life cycle services. At present these companies are aiming to develop global fleet based industrial services, which could be seen as means to increase their competitiveness. 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 from the customer sites. At the moment technical and economic life-cycle data is often fragmented in business ecosystems (networks) and its full business potential is rarely utilized. Therefore, innovative technological and business model 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 that can be used in important decision-making and network level cooperation. This should offer new opportunities not only for typical fleet services like maintenance but also to new earning logic, 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 second in the series of reports representing the description of Data to Business Knowledge (D2BK) model and its implementation in industrial ecosystems. The findings presented in this publication are from the project Fleet based industrial data symbiosis (FIMECC/S4Fleet P3). The publication presents the State-of-the-practice in value-based asset and fleet management services and the results of their comparison against D2KB were presented. Also companies participating in S4Fleet P3 have presented their preliminary fleet service concepts which were analysed from the perspective of D2BK-model. These studies were conducted in order to find out how the D2BK model can be utilised in the assessment and development of fleet service concepts. This publication presents some existing services and service concepts descriptions that are related to fleet data management. The list of concepts related to fleet asset management that were presented in deliverable 1 (Kortelainen et al. 2015) is complemented by concepts found in the interviews and case studies conducted for the project. The services and service concepts are described shortly. A more detailed analysis of the service and service concepts, based on the data used, data refinement methods and value of data, is also presented. Based on the presentations of companies in S4Fleet P3 kick-off workshop, the fleet service concepts are analysed from the perspective of the first version of D2BK-model. Also the fleet asset management concepts of companies are analysed in the same way as the service concepts found in the literature. The comparison of these knowledge intensive service concepts with the D2KB model was determined by the expert judgment of the researchers.

KW - Business Knowledge

KW - data sources

KW - Fleet Asset Management

KW - Industrial services

KW - life cycle

M3 - Report

BT - Knowledge intensive service concepts for fleet asset management

ER -