Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Johan Wall"'
Publikováno v:
Design Science, Vol 10 (2024)
The ongoing servitization journey of the manufacturing industries instills a through-life perspective of value, where a combination of products and services is delivered to meet expectations. Often described as a product-service system (PSS), these s
Externí odkaz:
https://doaj.org/article/3ee7d06ed0e94182803c520004f92457
Publikováno v:
Systems, Vol 8, Iss 2, p 22 (2020)
The shift towards Product-Service Systems (PSS) stresses the need to embed new and unique capabilities in Decision Support Systems, with the aim of helping the engineering team in handling the pool of information and knowledge available during decisi
Externí odkaz:
https://doaj.org/article/c82f4aafdee74a3e867199f31175c344
Publikováno v:
Proceedings of the Design Society. 1:2137-2146
The paper presents a Model-Driven approach for Product-Service System (PSS) Design promoting an increased digitalization of the PSS design process based on the combination of data-driven design (DDD) activities and value-driven design (VDD) methods.
Autor:
Johan Wallerstein, Xiao Han, Maria Levkovets, Dmitry Lesovoy, Daniel Malmodin, Claudio Mirabello, Björn Wallner, Renhua Sun, Tatyana Sandalova, Peter Agback, Göran Karlsson, Adnane Achour, Tatiana Agback, Vladislav Orekhov
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-18 (2024)
Abstract Mucosa-associated lymphoid tissue lymphoma-translocation protein 1 (MALT1) is an attractive target for the development of modulatory compounds in the treatment of lymphoma and other cancers. While the three-dimensional structure of MALT1 has
Externí odkaz:
https://doaj.org/article/884d29c1ed8241afb428cd2113dd173d
Publikováno v:
Design for Tomorrow—Volume 2 ISBN: 9789811601187
Since its introduction in 2011, industry 4.0 has been coined the “fourth industrial revolution” following mechanization, industrialization and IT/automation as the first three, and represents the current trend of automation technologies (cyber-ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10b25b599a632d7e043c624ab88fb567
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20930
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20930
Artificial Neural Networks Supporting Cause-and-Effect Studies in Product–Service System Development
Publikováno v:
Design for Tomorrow—Volume 2 ISBN: 9789811601187
A data analysis method based on artificial neural networks aiming to support cause-and-effect analysis in design exploration studies is presented. The method clusters and aggregates the effects of multiple design variables based on the structural hie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb1f7d80982d7d1918de31f262ec7638
https://doi.org/10.1007/978-981-16-0119-4_5
https://doi.org/10.1007/978-981-16-0119-4_5
Publikováno v:
Systems, Vol 8, Iss 22, p 22 (2020)
Systems
Volume 8
Issue 2
Systems
Volume 8
Issue 2
The shift towards Product-Service Systems (PSS) stresses the need to embed new and unique capabilities in Decision Support Systems, with the aim of helping the engineering team in handling the pool of information and knowledge available during decisi
Publikováno v:
Balancing Innovation and operation.
Societies across the globe are facing many unprecedented challenges; climate change, pandemics, and resource depletion, just to name a few. These societal challenges, the 2030 Sustainable Development Agenda, and companies’ demands about knowledge a
Ability to predict and control involved parameters and hence the outcome of sheet metal forming processes demand holistic knowledge of the product/-process parameter influences and their contribution in shaping the output product quality. Recent impr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31b7dcb0e6229e70b2ca2c49f7348d88
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20854
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20854
A data analysis method aiming to support cause and effect analysis in design exploration studies is presented. The method clusters and aggregates effects of multiple design variables based on the structural hierarchy of the evaluated system. The resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22f6bc49d656d6258070e98d05b949d7
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19758
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19758