GreenLane fast tracking value and resilience in industrial wood supply
Reference number | |
Coordinator | Stift Skogsbrukets Forskningsinstitut Skogfor - Skogforsk Stiftelsen Skogsbrukets Forskningsinstitut Uppsala |
Funding from Vinnova | SEK 2 006 919 |
Project duration | January 2019 - June 2022 |
Status | Completed |
Venture | Forest Value ERA-NET cofund |
Important results from the project
** Denna text är maskinöversatt ** The GreenLane model analyzes the effect of how variations in weather affect transportation in the timber supply chain, and consequently lead times and costs for quality losses. Temperature, snow depth and precipitation affect the possibility of efficient transportation and consequently the accuracy of timber deliveries. Time from felling to customer affects how quality changes. A simulation model combined with optimization has been used in the analysis to analyze costs for value losses together with accuracy in deliveries.
Expected long term effects
** Denna text är maskinöversatt ** The model analyzes value loss in the form of reduced product quality, as an effect of weather, and how delivery reliability can differ between years. The project has made it possible to demonstrate the effect of how weather and seasonal variations affect delivery reliability and quality losses. The model can be visually run as a simulation model where flows from forest to industry can be followed and where various parameters that affect the model in terms of weather impact affect the result.
Approach and implementation
** Denna text är maskinöversatt ** The project has been carried out together with the institutes BOKU, NIBIO and Norra Skog(tidigare Norra Skogsägarna) where the Swedish case study was carried out. The method is based on how the Norra Skogs timber supply chain is structured and is the basis for the conceptual model. The simulation model has been developed for Swedish conditions, but in line with how corresponding models have been developed for BOKU´s and NIBIO´s case studies. The simulation model for the analysis is a combination of simulation and optimization modeling.