DocumentCode
1854243
Title
Engineering intelligence - Product-service concepts and requirements in industry
Author
Lanz, Minna ; Nykanen, Ossi ; Aaltonen, Jussi ; Ranta, Pekka A. ; Koskinen, Kari T. ; Andersson, Pernille H.
Author_Institution
Tampere Univ. of Technol., Tampere, Finland
fYear
2013
fDate
July 30 2013-Aug. 2 2013
Firstpage
138
Lastpage
141
Abstract
European manufacturing and construction sector is wrestling with the fundamental and rapid changes in their business environment. Business environment is becoming more dynamic and distributed, thus old standardization and mass-customization methods can no longer support the companies. In order to survive the companies must be able to offer fully customized product-service concepts instead of technical solutions. This causes challenges relating to efficiency of collaboration, utilization of information flows, agility and interoperability of technical solutions and operation culture. The products, processes and services need to be designed “for humans by humans”. The competence development methods and enhanced learning have to be comprehensively taken into account. This paper summarizes the challenges among industry and provides a new approach Engineering Intelligence Ecosystem (EIE) that addresses aforementioned challenges of complex engineering systems.
Keywords
artificial intelligence; construction industry; engineering information systems; mass production; product customisation; production engineering computing; Europe; business environment; company survival; competence development methods; construction sector; engineering intelligence ecosystem; information flow; learning enhancement; manufacturing sectors; mass customization; product-service customization; standardization; technical solution interoperability; Artificial intelligence; Biological system modeling; Business; Collaboration; Ecosystems; Manufacturing; Semantics; built environment; collaborative environment; competence development; context-awareness; customer participation; factories of future; intelligent business process; machine systems; manufacturing; production systems; semantic knowledge modelling;
fLanguage
English
Publisher
ieee
Conference_Titel
Assembly and Manufacturing (ISAM), 2013 IEEE International Symposium on
Conference_Location
Xi´an
Print_ISBN
978-1-4799-1656-6
Type
conf
DOI
10.1109/ISAM.2013.6643510
Filename
6643510
Link To Document