TY - GEN
T1 - Issues on Introducing Model-Based Definition - Case of Manufacturing Ecosystem
AU - Uski, Pekka
AU - Pulkkinen, Antti
AU - Hillman, Lasse
AU - Ellman, Asko
N1 - JUFOID=84293
Funding Information:
The research organizations have received financial support from Business Finland for the project IME and the authors of the paper acknowledge the support. Authors are grateful for the collaboration with the companies.
Publisher Copyright:
© 2020, IFIP International Federation for Information Processing.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - The benefits of Model-Based Definition (MBD) are well known. Considering this there is a need to understand the reasons why MBD is utilized rarely in the manufacturing ecosystems of low volume, customized products. For studying MBD, manufacturing ecosystems and their mutual relations a literature study and a case study of manufacturing ecosystem were applied. It was noticed that there are differences between the maturities of digital product processes between the actors of the ecosystem, while MBD itself is a matter affecting the whole ecosystem. Investing in education and renewing, integrating and harmonizing processes, legacy data and software lower barriers towards adopting MBD. The motivation of the actors of an ecosystem has to ensure investments and commitment to change. The investment decisions require an ecosystem wide value definition and business case for each actor. The role of an actor within an ecosystem, how common or niche the utilized product and production technology is and the economic situation of a company appear to impact companies’ willingness to change into MBD. Also, the motivation to adopt MBD depends on the amount of legacy data and the complexity of manufactured parts. Adopting PMI-data can increase the efficiency of manufacturing processes, such as quality control.
AB - The benefits of Model-Based Definition (MBD) are well known. Considering this there is a need to understand the reasons why MBD is utilized rarely in the manufacturing ecosystems of low volume, customized products. For studying MBD, manufacturing ecosystems and their mutual relations a literature study and a case study of manufacturing ecosystem were applied. It was noticed that there are differences between the maturities of digital product processes between the actors of the ecosystem, while MBD itself is a matter affecting the whole ecosystem. Investing in education and renewing, integrating and harmonizing processes, legacy data and software lower barriers towards adopting MBD. The motivation of the actors of an ecosystem has to ensure investments and commitment to change. The investment decisions require an ecosystem wide value definition and business case for each actor. The role of an actor within an ecosystem, how common or niche the utilized product and production technology is and the economic situation of a company appear to impact companies’ willingness to change into MBD. Also, the motivation to adopt MBD depends on the amount of legacy data and the complexity of manufactured parts. Adopting PMI-data can increase the efficiency of manufacturing processes, such as quality control.
KW - Ecosystem
KW - Manufacturing ecosystem
KW - MBD
KW - MBE
KW - Model-Based Definition
KW - Model-Based Enterprise
KW - PMI
U2 - 10.1007/978-3-030-62807-9_48
DO - 10.1007/978-3-030-62807-9_48
M3 - Conference contribution
AN - SCOPUS:85097051633
SN - 9783030628062
T3 - IFIP Advances in Information and Communication Technology
SP - 604
EP - 617
BT - Product Lifecycle Management Enabling Smart X
A2 - Nyffenegger, Felix
A2 - Ríos, José
A2 - Ríos, José
A2 - Rivest, Louis
A2 - Bouras, Abdelaziz
PB - Springer
T2 - International Conference on Product Lifecycle Management
Y2 - 5 July 2020 through 8 July 2020
ER -