TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. InnoBandit 2.0: a systematic approach to scenario-based product profile generation in PGE – Product Generation Engineering
 
Options

InnoBandit 2.0: a systematic approach to scenario-based product profile generation in PGE – Product Generation Engineering

Publikationstyp
Journal Article
Date Issued
2019-05
Sprache
English
Author(s)
Marthaler, Florian  
Heimicke, Jonas  
Ou, Jia  
Reiß, Nicolas  
Bursac, Nikola  
Albers, Albert  
TORE-URI
http://hdl.handle.net/11420/13306
Journal
Procedia CIRP  
Volume
84
Start Page
790
End Page
797
Citation
Procedia CIRP 84: 790-797 (2019)
Contribution to Conference
29th CIRP Design Conference 2019  
Publisher DOI
10.1016/j.procir.2019.04.313
Scopus ID
2-s2.0-85076747563
Publisher
Elsevier
More than ever before, innovations are transforming industries and people’s lives in ways that were previously unimaginable. Due to rapid technological changes and shifting market dynamics, the economic success and organizational survival of businesses are increasingly dependent upon forward-looking strategies and innovations. The effect is the increasing popularity and adoption of scenario management across the business sector. However, the scope of future uncertainties considered in the traditional product development process is often limited, and there is yet to be a systematic approach that aids the engineers in making future-oriented development decisions in an agile fashion. Therefore, a targeted creativity method that integrates foresight and technical analysis is proposed in the present article to enable scenario-based product profile generation in the product innovation process. Adapted from the existing creativity method InnoBandit, developed at IPEK-Institute of Product Engineering, the method is derived by experts who have also been involved in the development of the first version of InnoBandit. Validation of the method is achieved through student participation in the Live-Lab AIL - Agile Innovation Lab and an expert workshop in collaboration with the industry partner Trumpf.
Subjects
ASD - Agile Systems Design
Creativity methods
Foresight
Innovation
PGE - Product Generation Engineering
Scenario analysis
DDC Class
600: Technik
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback