Synchronization of Log Cutting and Sawn Timber Drying Technologies

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Abstract

The research is devoted to the synchronization of log cutting and sawn timber drying processes. It has been shown that, given the actual number of sawn timber sections produced by large-scale sawmilling during the technological period, the buffer storage units of drying stacks of boardsdo not ensure the uninterrupted operation of the tunnels. There is either an overflow of buffer storage units with stacks, or their absence when free space occurs in the tunnels. The methods used for calculating the buffer storage units of the stacks donot take into account the probabilistic nature of the characteristics of sawmills and drying shops. Theydo not provide a mathematical description of the relationships between the rate of incoming raw sawn timber stacks, the capacity of the buffer storage unit, as well as the number and capacity of drying tunnels. The aim of this work has been to find the patterns of accumulation of sawn timber stacks in front of drying tunnels and loading tunnels with stacks, with the establishment of the average waiting time for stacks in the storage unit under different characteristics of log sawing and sawn timber drying processes. The “stack storage unit – drying tunnels” system has been presented as a multi-channel queuing system with parallel operation of channels and waiting. The main initial indicators of the system are the rate of incoming raw sawn timber stacks to the storage unit in front of the drying tunnels and the intensity of sawn timber drying in 1 tunnel. The main output operational characteristics are the probability of a full tunnel load, the average number of stacks in the storage unit, and the time the stack remains in the storage unit. The general patterns of accumulation of board stacks and filling of drying tunnels in the conditions of large-scale production of sawn timber have been established. The examples of solving practical problems of synchronizing sawmilling and sawn timber drying have been presented. It has been shown that the obtained graphs and mathematical models make it possible to solve production problems: to analyze the influence of the type and size of the sawn raw material, the structure of the sawing patterns, the feed rates of the sawmill equipment, the operating modes of the sawmill, as well as the drying modes of the sawn timber on the choice of the number of tunnels and their capacity.

About the authors

V. V Ogurtsov

Reshetnev Siberian State University of Science and Technology

Email: vogurtsov@mail.ru
ORCID iD: 0000-0002-8995-0496
ResearcherId: AAZ-7418-2020
Doctor of Engineering, Prof. Krasnoyarsk, Russian Federation, 660037

E. V Kargina

Reshetnev Siberian State University of Science and Technology

Email: ev_kargina@mail.ru
ORCID iD: 0000-0003-0158-8259
ResearcherId: AAZ-7109-2020
Candidate of Engineering Krasnoyarsk, Russian Federation, 660037

A. A Orlov

Reshetnev Siberian State University of Science and Technology

Email: Orlov.tepl@mail.ru
ORCID iD: 0000-0002-9370-7544
ResearcherId: KBA-4858-2024
Candidate of Engineering, Assoc. Prof. Krasnoyarsk, Russian Federation, 660037

D. V Duk

Reshetnev Siberian State University of Science and Technology

Email: danil.duk@yandex.ru
ORCID iD: 0000-0001-9821-0927
ResearcherId: AIF-4170-2022
Postgraduate Student Krasnoyarsk, Russian Federation, 660037

References

  1. Вагнер Г. Основы исследования операций. М.: Мир, 1973. Т. 3. 501 с. Wagner G. Fundamentals of Operations Research. Moscow, Mir Publ. House, 1973, vol. 3. 501 p. (In Russ.).
  2. Вентцель Е.С., Овчаров Л.А. Теория вероятностей и ее инженерные приложения. М.: Наука, 1988. 480 с. Ventzel E.S., Ovcharov L.A. Probability Theory and its Engineering Applications. Moscow, Nauka Publ., 1988. 480 p. (In Russ.).
  3. Зорин А.В., Зорин В.А., Пройдакова Е.В., Федоткин М.А. Введение в общие цепи Маркова. Н. Новгород: Нижегородск. гос. ун-т, 2013. 51 с. Zorin A.V., Zorin V.A., Projdakova E.V., Fedotkin M.A. Introduction to General Markov Chains. Nizhny Novgorod, Nizhny Novgorod State University Publ., 2013. 51 p. (In Russ.).
  4. Калитеевский Р.Е. Технология лесопиления. М.: Лесн. пром-сть, 1986. 264 с. Kaliteevskij R.E. Sawmilling Technology. Moscow, Lesnaya promyshlennost’ Publ., 1986. 264 p. (In Russ.).
  5. Калитеевский Р.Е. Лесопиление в XXI веке. Технология, оборудование, менеджмент. 2-е изд., испр. и доп. СПб.: ПрофиКС, 2008. 499 с. Kaliteevskij R.E. Sawmilling in the XXI Century. Technology, Equipment, and Management: 2nd ed., revised and enlarged. St. Petersburg, ProfiKS Publ., 2008. 499 p. (In Russ.).
  6. Калитеевский Р.Е., Артеменков А.М., Тамби А.А. Информационные технологии в лесопилении. СПб.: Профи, 2010. 191 с. Kaliteevskij R.E., Artemenkov A.M., Tambi A.A. Information Technologies in Sawmilling. St. Petersburg, Profi Publ., 2010. 191 p. (In Russ.).
  7. Каргина Е.В. Повышение эффективности массового крупно-поточного лесопиления путем управления дробностью сортировки бревен по толщине: дис. … канд. техн. наук. Красноярск, 2024. 200 с. Kargina E.V. Improving the Efficiency of Large-Scale Mass Sawmilling by Controlling the Granularity of Log Sorting by Thickness: Cand. Tech. Sci. Diss. Krasnoyarsk, 2024. 200 p. (In Russ.).
  8. Клейнрок Л. Теория массового обслуживания. М.: Машиностроение, 1979. 432 с. Klejnrok L. Queueing Theory. Moscow, Mashinostroenie Publ., 1979. 432 p. (In Russ.).
  9. Новиков Д.А. Сетевые структуры и организационные системы. М.: ИПУ РАН, 2003. 102 с. Novikov D.A. Network Structures and Organizational Systems. Moscow, Institute of Control Sciences of the Russian Academy of Sciences, 2003. 102 p. (In Russ.).
  10. Огурцов В.В. Теория брусо-развальной распиловки бревен: моногр. Красноярск: СибГТУ, 2013. 233 с. Ogurtsov V.V. Theory of the Cant Sawing of the Logs: Monograph. Krasnoyarsk, Siberian State Technical University Publ., 2013. 233 p. (In Russ.).
  11. Огурцов В.В., Каргина Е.В., Матвеева И.С. Двухкритериальная математическая модель оптимизации дробности сортировки бревен по толщине // Хвойные бореал. зоны. 2024. Т. XLII, № 4. С. 89–94. Ogurtsov V.V., Kargina E.V., Matveeva I.S. A Two-Criterion Mathematical Model for Optimizing the Fractional Sorting of Logs by Thickness. Khvojnye borealnoj zony = Conifers of the Boreal Area, 2024, vol. XLII, no. 4, pp. 89–94. (In Russ.). https://doi.org/10.53374/1993-0135-2024-4-89-94
  12. Огурцов В.В., Орлов А.А., Дук Д.В. Идентификация проблемы синхронизации процессов раскроя бревен и сушки пиломатериалов // Хвойные бореал. зоны. 2025. Т. XLIII, № 2. С. 70–76. Ogurtsov V.V., Orlov A.A., Duk D.V. Identification of the Problem of Synchronization of Log Cutting and Sawn Timber Drying Processes. Khvojnye borealnoj zony = Conifers of the Boreal Area, 2025, vol. XLIII, no. 2, pp. 70–76. (In Russ.). https://doi.org/10.53374/1993-0135-2025-2-70-76
  13. Оре О. Теория графов. М.: Наука, 1968. 352 с. Ore O. Graph Theory. Moscow, Nauka Publ., 1968. 352 p. (In Russ.).
  14. Таха Х. Введение в исследование операций. Т. 2. М.: Мир, 1985. 496 с. Takha Kh. Introduction to Operations Research. Moscow, Mir Publ. House, 1985, vol. 2. 496 p. (In Russ.).
  15. Трухан А.А., Кудряшев Г.С. Теория вероятностей в инженерных приложениях. Иркутск: Форвард, 2009. 364 с. Trukhan A.A., Kudryashev G.S. Probability Theory in Engineering Applications. Irkutsk, Forward Publ., 2009. 364 p. (In Russ.).
  16. Турушев В.Г. Технологические основы автоматизированного производства пиломатериалов. М.: Лесн. пром-сть, 1975. 208 с. Turushev V.G. Technological Foundations of Automated Lumber Production. Moscow, Lesnaya promyshlennost’ Publ., 1975. 208 p. (In Russ.).
  17. Chang S.J., Gazo R. Measuring the Effect of Internal Log Defect Scanning on the Value of Lumber Produced. Forest Products Journal, 2009, vol. 59, iss. 11–12, pp. 56–59. https://doi.org/10.13073/0015-7473-59.11.56
  18. Hébert F., Grondin F., Plaice J. Mathematical Modeling of Curve Sawing Techniques for Lumber Industry. Applied Mathematical Modelling, 2000, vol. 24, iss. 8–9, pp. 677–687. https://doi.org/10.1016/S0307-904X(00)00009-3
  19. Hinostroza I., Pradenas L., Parada V. Board Cutting from Logs: Optimal and Heuristic Approaches for the Problem of Packing Rectangles in a Circle. International Journal of Production Economics, 2013, vol. 145, iss. 2, pp. 541–546. https://doi.org/10.1016/j.ijpe.2013.04.047
  20. Ikami Y., Matsumura Y., Murata K., Tsuchikawa S. Effect of Crosscutting Crooked Sugi (Cryptomeria japonica) Logs on Sawing Yield and Quality of Sawn Lumber. Forest Products Journal, 2010, vol. 60, iss. 3, pp. 244–248. https://doi.org/10.13073/0015-7473-60.3.244
  21. Johansson J. Mechanical Processing for Improved Products Made from Swedish Hardwood. Acta Wexionensia, 2008, no. 157. 46 p.
  22. Lin W., Wang J., Wu J., DeVallance D. Log Sawing Practices and Lumber Recovery of Small Hardwood Sawmills in West Virginia. Forest Products Journal, 2011, vol. 61, iss. 3, pp. 216–224. https://doi.org/10.13073/0015-7473-61.3.216
  23. Makkonen M. Renewing the Sawmill Industry: Studies on Innovation, Customer Value and Digitalization: Academic Dissertation. Finland, Helsinki, University of Helsinki, Dissertationes Forestales 269, 2019. 65 p. https://doi.org/10.14214/df.269
  24. Montero R.S., Moya R. Reducing Warp and Checking in 4 by 4 Beams from Small-Diameter Tropical Species (Tectona grandis, Gmelina arborea, and Cordia alliodora) Obtained by Turning the Pith Inside Out. Forest Products Journal, 2015, vol. 65, iss. 5–6, pp. 285–291. https://doi.org/10.13073/FPJ-D-14-00089
  25. Murara Junior M.I., Pereiro da Rocha M,, Trugilho P.F. Estimativa do Rendimento em Madeira Serrada de Pinus para Duas Metodologias de Desdobro. Floresta e Ambiente, 2013, vol. 20, no. 4, pp. 556–563. (In Port.). http://dx.doi.org/10.4322/floram.2013.037

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