COMMERCIALISATION POTENTIAL FOR SCANNERS IN WOOD PROCESSING. CROSS-CUTTING OPTIMIZING SCANNER FOR ASPEN AND BLACK ALDER
DOI:
https://doi.org/10.68302/std2026.vol2.15Keywords:
aspen, black alder, cross-cutting, forestry sector, machine learning, order optimization, scanner, quality control, wood processing, 3D computer visionAbstract
Increased competition in the international wood export markets, is vitally important for European wood processing companies. To ensure further competitive advantages digitalisation of wood processes is one of the contemporary strategies to ensure higher efficiency (reducing losses of useful material and improving quality), but also increasing productivity in order to reduce manual labour costs and eliminate "bottlenecks" in the overall production process. Findings reveal significant adoption of Industry 4.0 technologies enhancing processing speed and quality through AI-driven defect detection and robotic automation, achieving cycle time reductions exceeding 45% and defect remediation time cuts up to 60%. Material innovations and additive manufacturing improve mechanical properties and support sustainability, though scalability challenges persist. Circular economy principles are increasingly integrated via digitalisation of wood processing and waste valorisation, yet practical implementation faces economic and technology barriers. The aim of the paper is the commercialisation of cross-cutting optimizing scanner for aspen and black alder allowing to optimize order real-life parameters improving material combination and reducing waste. In addition, it is necessary for the company, using the statistical value of the material, to be able to determine what the possible costs of any order are. The findings are underlining the promotion of the digital transformation and increased competitiveness: enhanced useful yield of high-value material/reduction in material losses, reduction in manual labour associated with physical effort (the physical work of operators has been facilitated, and the sawing speed has been increased by 20%). The expected digital transformation impact has significant commercialisation potential, the development of such a new technology is contributing to the competitiveness and technological base of the forestry sector in European Union.
Supporting Agencies
Development of cross-cutting optimizing scanner for aspen and black alder boards. Research contract Nr: DP09 signed between SIA LV Timber and Forest Sector Competence Center of Latvia. The research leading to these results has been co-financed by the European Union, and carried out in cooperation with Forest Sector Competence Center of Latvia. Project number DP09, co-financing agreement number 2.2.1.3.i.0/1/24/A/CFLA/001.Downloads
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