Table 1. Countries and amounts for beech roundwood procurement. | |||||
Country | City as central location | Share of beech in the country, estimated | Share of beech in the chosen location, estimated | Production, Sawlogs and veneer logs, non-coniferous* [m3 of roundwood] | Amount of beech in the chosen location, calculated [m3 of roundwood] |
Slovakia | Nitra | 25% | 10% | 1 558 996 | 38 975 |
Hungary | Székesfehérvár | 6% | 40% | 919 400 | 22 066 |
Czech Republic | Iglau | 8% | 10% | 496 000 | 3968 |
Germany | Landshut | 18% | 8% | 3 356 883 | 48 339 |
Slovenia | Celje | 30% | 30% | 320 823 | 28 874 |
Croatia | Zagreb | 36% | 10% | 1 958 567 | 70 508 |
Total | 212 730 | ||||
* FAOSTAT |
Table 2. Demand distribution key for Austria (Kaufmann et al. 2011), Italy and Germany. | ||||
Countries | Scenario #1 – #13 | Scenario #14 | ||
Federal States | Weighting [%] | Amount [m3] | Weighting [%] | Amount [m3] |
Austria | 100.00 | 50 000 | 40.00 | 19 998 |
Lower Austria | 21.52 | 10 760 | 21.52 | 4303 |
Upper Austria | 17.01 | 8505 | 17.01 | 3403 |
Styria | 16.53 | 8265 | 16.53 | 3306 |
Vienna | 12.59 | 6295 | 12.59 | 2519 |
Tyrol | 9.66 | 4830 | 9.66 | 1932 |
Carinthia | 8.06 | 4030 | 8.06 | 1612 |
Salzburg | 6.39 | 3195 | 6.39 | 1278 |
Burgenland | 4.24 | 2120 | 4.24 | 844 |
Vorarlberg | 4.00 | 2000 | 4.00 | 801 |
Italy | 0 | 0 | 18.00 | 9000 |
Germany | 0 | 0 | 42.00 | 21 000 |
Table 3. Developed scenarios with the defined parameters. | |||||
Scenarios | Additional sawmill (ADS) | Amount of facilities (AF) | Facility capacity option (FCO) | Sourcing strategy (SO) | Amount of roundwood (AR) |
#1 | unlimited | 3 | AUT | 146 023 | |
#2 | unlimited | 3 | AUT | 146 023 | |
#3 | unlimited | 3 | AUT | 146 023 | |
#4 | unlimited | 6 | AUT | 146 023 | |
#5 | x | unlimited | 3 | AUT | 146 023 |
#6 | x | unlimited | 6 | AUT | 146 023 |
#7 | x | unlimited | 3 | AUT + Neighbours | 358 762 |
#8 | x | unlimited | 6 | AUT + Neighbours | 358 762 |
#9 | x | 1 | 3 | AUT + Neighbours | 358 762 |
#10 | x | 1 | 6 | AUT + Neighbours | 358 762 |
#11 | unlimited | 3 | AUT + Neighbours | 358 762 | |
#12 | x | unlimited | 3 | AUT + Neighbours | 358 762 |
#13 | x | unlimited | 6 | AUT + Neighbours | 358 762 |
#14 | x | unlimited | 6 | AUT + Neighbours | 358 762 |
Table 4. Financial performance results for scenarios #1 to #14. | ||||||||||||||
Cost parameter | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | #11 | #12 | #13 | #14 |
Sadiesfied demand [m3] | 14 972 | 14 847 | 23 942 | 26 639 | 24 181 | 24 378 | 30 000 | 33 451 | 19 992 | 31 092 | 34 703 | 34 710 | 37 548 | 38 242 |
Total supply cost per m3 [€ m–3] | 345 | 351 | 339 | 332 | 324 | 309 | 330 | 322 | 311 | 323 | 341 | 331 | 323 | 321 |
Opening cost [€ m–3] | 48 | 49 | 53 | 41 | 53 | 30 | 49 | 33 | 46 | 30 | 47 | 47 | 34 | 27 € |
Transport cost [€ m–3] | 109 | 121 | 79 | 86 | 71 | 76 | 87 | 94 | 70 | 92 | 92 | 87 | 92 | 93 € |
Production cost [€ m–3] | 186 | 178 | 202 | 202 | 195 | 198 | 191 | 191 | 193 | 197 | 197 | 192 | 192 | 197 € |
Storage cost [€ m–3] | 2 | 2 | 5 | 2 | 5 | 5 | 4 | 4 | 2 | 5 | 5 | 5 | 4 | 4 € |
Table 5. Material performance results for scenarios #1 to #14. | ||||||||||||||
Material parameter | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | #11 | #12 | #13 | #14 |
Degree of demand fulfillment [%] | 30 | 30 | 48 | 53 | 48 | 49 | 60 | 67 | 40 | 62 | 69 | 69 | 75 | 76 |
Amount of used resources [%] | 49 | 49 | 78 | 87 | 79 | 80 | 40 | 45 | 27 | 41 | 46 | 46 | 50 | 51 |
Amount of imported resources [%] | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 27 | 6 | 17 | 25 | 24 | 27 | 28 |
Amount of used sawmill capacity [%] | 54 | 61 | 42 | 46 | 37 | 37 | 45 | 51 | 30 | 23 | 27 | 26 | 28 | 28 |
Amount of used LBWF capacity [%] | 100 | 99 | 60 | 78 | 69 | 98 | 100 | 98 | 100 | 91 | 99 | 87 | 88 | 75 |