Sawmill 4.0 Customized flexible sawmill production by integrating data driven models and decisions

Reference number
Coordinator Luleå tekniska universitet - Avdelningen för träteknologi
Funding from Vinnova SEK 5 189 700
Project duration September 2018 - March 2021
Status Ongoing
Venture The strategic innovation programme Bioinnovation
Call Key Enabling Technologies for production of biobased products

Purpose and goal

Link two- and three dimensional information of wood material properties in the wood value chain for increased process control of the right wood material to the right customer and by that the reduce waste and increase the added value

Expected results and effects

A system for B2B costumer adaption and by that increased marginal and less waste in sawmills and for secondary manufacturers. Since positive effects of using CT technology in the process are demonstrated more investments are coming enhancing quality of wood-based building material. A database for the use for research and for dynamic product planning Models for prediction of costumer preference-based grading A system for process feedback on sawing performance and grading algorithms between virtual and real worlds Methodology for customer integrated quality dialog and integration

Planned approach and implementation

In the project, knowledge and findings from previous research will be used to implement and show upon different ways of executing traceability between the CT- and boardscanner in the B2B chain. Algorithms for this matchmaking and to validate its performance and a big-data-base including real- and virtual logs will be a main tasks. With access to the big-data database, multivariate-prediction models will be established, validated and the system visualized for three example products to show its potential in relation to rule-based grading.

External links

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