Projects per year
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 1 Similar Profiles
Planning
Engineering & Materials Science
Industry
Engineering & Materials Science
Decision making
Engineering & Materials Science
Automotive industry
Engineering & Materials Science
Lubrication
Engineering & Materials Science
Logistics
Engineering & Materials Science
Software engineering
Engineering & Materials Science
Scheduling
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2016 2018
1
Citation
(Scopus)
An Approach to Production Scheduling Optimization: A Case of an Oil Lubrication and Hydraulic Systems Manufacturer
Katasonov, A., Lastusilta, T., Korvola, T., Saari, L., Bendas, D., Camp, R., Mohammed, W. M. & Lee Nieto, A., 2 Feb 2018, 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC): Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. Mendonca, J. P., Jardim-Goncalves, R., Martins, J., Zarli, A., Marques, M. & Pallot, M. (eds.). Institute of Electrical and Electronic Engineers IEEE, p. 1123-1130 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Research › peer-review
Lubrication
Scheduling
Hydraulics
Visibility
Industry
Optimization Models to Support Decision-Making in Collaborative Networks: A Review
Andres, B., Poler, R., Saari, L., Arana, J., Benaches, J-V. & Salazar, J., 2018, Closing the Gap Between Practice and Research in Industrial Engineering. Viles, E., Ormazábal, M. & Lleó, A. (eds.). Springer, p. 249-258 (Lecture Notes in Management and Industrial Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Research › peer-review
Decision making
Planning
Industry
Turbulence
A cookbook for predicting the future: Introduction of foresight tools
Saari, L., Suomalainen, T., Kuusela, R., Juntunen, M. & Moqaddamerad, S., 2017, 79 p. (DIMECC Publications Series; no. 13)Research output: Book/Report › Published report › Research
Open Access
Foresight
Threat
Service innovation
Discontinuity
Radical innovation
2
Citations
(Scopus)
A proposal of standardised data model for cloud manufacturing collaborative networks
Andres, B., Sanchis, R., Poler, R. & Saari, L., 1 Jan 2017, IFIP Advances in Information and Communication Technology. Springer, Vol. 506. p. 77-85 9 p. (IFIP Advances in Information and Communication Technology; vol. 506).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Research › peer-review
Manufacturing
Collaborative networks
Small and medium-sized enterprises
Data exchange
Manufacturing network
Collaborative calculation of the Materials Requirement Planning in the Automotive Industry
Andres, B., Sanchis, R., Poler, R. & Saari, L., 2017, USB Proceedings: 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC). Institute of Electrical and Electronic Engineers IEEE, p. 496-503Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Research › peer-review
Automotive industry
Planning
Industry
Legacy systems
Heuristic algorithms