Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Data-driven value assessment of packaging solutions
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Research Lab)
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0002-5076-3300
2018 (English)In: IFAC PAPERSONLINE, Elsevier, 2018, Vol. 51, no 11, p. 1119-1124, article id No. 11Conference paper, Published paper (Refereed)
Abstract [en]

Research in Product Service Systems design increasingly focuses on how to develop ‘capabilities’ for assessing the value of solutions already in  a design project fuzzy front end. A datadriven approach shall then guide engineers in the process of identifying what to develop, and not merely to verify if a solution meets (or not) performance requirements. This process of frontloading problem identification and solution generation activities with models is of high interest to raise quality and lower risk and cost for the development work. The objective of the paper is to explore the use of a data-driven approach to enable value prediction of packaging material configurations in early design. Its main objective is to present a methodological approach and a framework to connect high-level aspects of customer value with simulations and analysis conducted on the mechanical properties of packaging material.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 51, no 11, p. 1119-1124, article id No. 11
Series
IFAC PAPERSONLINE, ISSN 2405-8963 ; 51
Keywords [en]
data-driven decision making, value-driven design, model-based engineering, product service systems, simulation, performance evaluation.
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-16394DOI: 10.1016/j.ifacol.2018.08.452ISI: 000445651000187OAI: oai:DiVA.org:bth-16394DiVA, id: diva2:1216305
Conference
16th IFAC Symposium on Information Control Problems in Manufacturing, Bergamo
Projects
Model Driven Development and Decision Support
Funder
Knowledge FoundationAvailable from: 2018-06-11 Created: 2018-06-11 Last updated: 2018-10-30Bibliographically approved

Open Access in DiVA

fulltext(354 kB)18 downloads
File information
File name FULLTEXT01.pdfFile size 354 kBChecksum SHA-512
ea65f3eedab12f4b4d45bee8cf610dac88e1ebd9cbf41dc4f3b2265f4216546212c8036534632e43adb1787a80e89b9ec12ebabcddd4bc64f4f52b19db521f29
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Chowdhery, Syed AzadBertoni, Marco

Search in DiVA

By author/editor
Chowdhery, Syed AzadBertoni, Marco
By organisation
Department of Mechanical Engineering
Other Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 18 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 149 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf