학위논문 (석사)-- 서울대학교 대학원 농업생명과학대학 산림과학부, 2017. 8. 정주상.This study conducted a profitability analysis on sawing Pinus densiflora logs by comparing the profitability of lumber and pulp-chip productions. In order to estimate the maximum value recovery from log sawing, a log sawing simulation model was developed based on dynamic programming algorithm proposed by Reinders and Hendriks (1989). Through the log sawing simulation, Pinus densiflora logs in lengths of 3.6 m and 2.7 m were optimally sawn for maximized lumber value in regards with the dimensions and prices of lumber products in Korea. On the other hand, 1.8 m Pinus densiflora logs were applied for pulp-chip production considering the current timber harvesting and log allocation in Korea. Net profits generated from the two productions were estimated using the data obtained from the actual sawmills and pulp-chip manufacture facilities. According to the result, sawing Pinus densiflora logs for 3.6 m and 2.7 m lumber products generated 861% and 723% higher net profits, respectively than pulp-chip production with 1.8 m logs. Between the two lumber productions, the average net profit generated from sawing 3.6 m logs was 24% higher than sawing 2.7 m logs.
In addition to the comparative analysis on sawing profitability, the sawing potential of short (1.8 m) Pinus densiflora logs was also evaluated for wooden cutting board and wooden tray manufacture using the log sawing simulation model. The lumber for wooden cutting board manufacture could be sawn from the log with 18 cm of diameter and the lumber for wooden tray manufacture from the log with 22 cm of diameter.
The results of this study reconfirm that sawlog harvesting would lead to higher timber sale profits and support the bucking decisions in terms of value recovery and increased stumpage value of Pinus densiflora stands in Korea. Additionally, the study also suggests that thorough considerations of various end-uses of harvested timber would increase the timber sale profits.I. INTRODUCTION 1
II. OBEJCTIVES 4
III. LITERATURE REVIEW 5
IV. RESEARCH FRAMEWORK 9
V. MATERIALS AND METHODS 10
1. A log sawing simulation model 10
1) Model assumptions 10
2) Structure of the model 12
3) Mathematical algorithm 13
2. Comparative analysis on sawing and chipping profitability of Pinus densiflora 17
1) Sawing profitability of Pinus densiflora 17
(1) Process of profitability analysis using the log sawing simulation model 17
(2) Data collection 19
(3) Profitability analysis 22
2) Profitability analysis on pulp-chip production with Pinus densiflora 23
(1) Process of profitability analysis on pulp-chip production 23
(2) Data collection 24
(3) Profitability analysis 25
3. Analysis on sawing potential of short Pinus densiflora logs for wood product manufacture 27
1) Research process 27
2) Data collection 28
(1) Log type 28
(2) Production process 28
3) Analysis on sawing potential 29
(1) Log sawing simulation 29
(2) Estimation of lumber production 29
VI. RESULTS AND DISCUSSION 30
1. Optimal sawing pattern for 3.6m Pinus densiflora logs 30
2. Optimal sawing pattern for 2.7m Pinus densiflora logs 32
3. Lumber yield and recovery rate of sawing 3.6m and 2.7m Pinus densiflora logs 34
4. Pulp-chip yield from chipping 1.8m Pinus densiflora logs 36
5. Net profit comparison between lumber and pulp-chip production 37
6. Production estimation of lumber for wooden cutting board. 40
7. Production estimation of lumber for wooden tray 41
VII. CONCLUSION 42Maste
