[
Ahiska, S. S., Kurtul, E., 2014: Modeling and analysis of a product substitution strategy for a stochastic manufacturing/remanufacturing system. Computers & Industrial Engineering, 72:1–11.
]Search in Google Scholar
[
Atencia, I., Pechinkin, A. V., 2013: A discrete-time queueing system with optional LCFS discipline. Annals of Operations Research, 202:3–17.
]Search in Google Scholar
[
Atencia, I., 2014: A discrete-time system with service control and repairs. International Journal of Applied Mathematics and Computer Science, 24:471–484.
]Search in Google Scholar
[
Atencia, I., Fortes, I., Pechinkin, A., Sanchez, S., 2013: A discrete-time queueing system with different types of displacement. In Proceedings of the 27th European Conference on Modelling and Simulation, Alesund, Norway, p. 558–564.
]Search in Google Scholar
[
Bohle, C., Maturana, S., Vera, J., 2010: A robust optimization approach to wine grape harvesting scheduling. European Journal of Operational Research, 200:245–252.
]Search in Google Scholar
[
Bont, L. G., Heinimann, H. R., Richard, L. C., 2012: Concurrent optimization of harvesting and road network layouts under steep terrain. Annals of Operations Research, 232:41–64.
]Search in Google Scholar
[
Buzacott, J. A., Shanthikumar, J. G., 1993: Stochastic Models of Manufacturing Systems. Englewood Cliffs, Prentice Hall, 553 p.
]Search in Google Scholar
[
Carlsson, D., Rönnqvist, M., 2005: Supply chain management in forestry: case studies at Södra Cell AB. European Journal of Operational Research, 163:589–616.
]Search in Google Scholar
[
Chauhan, S. S., Frayret, J.-M., LeBel, L. G., 2009: Multi-commodity supply network planning in the forest supply chain. European Journal of Operational Research, 196:688–696.
]Search in Google Scholar
[
Chung, W., Stückelberger, J., Aruga, K., Cundy, T., 2008: Forest road network design using a trade-off analysis between skidding and road construction costs. Canadian Journal of Forest Research, 38:439–448.
]Search in Google Scholar
[
Constantino, M., Martins, I., Borges, J. G., 2008: A new mixed-integer programming model for harvest scheduling subject to maximum area restrictions. Operations Research, 56:542–551.
]Search in Google Scholar
[
Dems, A., Rousseau, L., Frayret, J., 2012: Effects of different cutto-length harvesting structures on the economic value of a wood procurement planning problem. Annals of Operations Research, 232: 65–86.
]Search in Google Scholar
[
Epstein, R., Weintraub, A., Sapunar, P., Nieto, E., Sessions, J. B., Sessions, J., 2006: A combinatorial heuristic approach for solving real-size machinery location and road design problems in forestry planning. Operations Research, 54:1017–1027.
]Search in Google Scholar
[
Flisberg, P., Forsberg, M., Rönnqvist, M., 2007: Optimization based planning tools for routing of forwarders at harvest area. Canadian Journal of Forest Research, 37:2153–2163.
]Search in Google Scholar
[
Gerasimov, Y., Sokolov, A., Syunev, V., 2011: Optimization of industrial and fuel wood supply chain associated with cut-to-length harvesting. Sistemy. Metody. Technologii, 11:118–124.
]Search in Google Scholar
[
Glover, F., Luguna, M., 1997: Tabu Search. MA, USA, Kluwer Academic Publishers, 382 p.
]Search in Google Scholar
[
Goycoolea, M., Murray, A. T., Barahona, F., Epstein, R., Weintraub, A., 2005: Harvest scheduling subject to maximum area restrictions: exploring exact approaches. Operations Research, 53:490–500.
]Search in Google Scholar
[
Guy, L., Richard, M., 2009: Manufacturing systems modeling and Analysis. Springer-Verlag Berlin Heidelberg, 327 p.
]Search in Google Scholar
[
Heinimann, H. R., 1998: A computer model to differentiate skidder and cable-yarder based road network concepts on steep slopes. Journal of Forest Research (Japan), 3:1–9.
]Search in Google Scholar
[
Houtum, G. J., Kranenburg, B., 2015: Spare Parts Inventory Control under System Availability Constraints. New York, Springer US, 227 p.
]Search in Google Scholar
[
Jakimovich, S. B., Teterin, M. A., 2007: Transporting stocks logistics. Trans & MOUTAUTO’07: XIV international scientific-technical conference materials – Ruse, Bulgaria, p. 68–72.
]Search in Google Scholar
[
Jena, S. D., Cordeau, J., Gendron, B., 2012: Modeling and solving a logging camp location problem. Annals of Operations Research, 232:151–177.
]Search in Google Scholar
[
Melo, M., Nickel, S., Saldanha da Gama, F., 2005: Dynamic multi-commodity capacitated facility location: amathematical modeling framework for strategic supply chain planning. Computers & Operations Research, 33:181–208.
]Search in Google Scholar
[
Moharana, U. C., Sarmah, S. P., 2015: Determination of optimal kit for spare parts using association rule mining. International Journal of System Assurance Engineering and Management, 6:238–247.
]Search in Google Scholar
[
Morozov, E., Fiems, D., Bruneel, H., 2011. Stability analysis of multiserver discrete-time queueing systems with renewal-type server interruptions. Performance Evaluation, 68:1261–1275.
]Search in Google Scholar
[
Palma, C. D., Nelson, J. D., 2009: A robust optimization approach protected harvest scheduling decisions against uncertainty. Canadian Journal of Forest Research, 39:342–355.
]Search in Google Scholar
[
Peeters, D., Antunes, A. P., 2001: On solving complex multi-period location models using simulated annealing. European Journal of Operational Research, 130:190–201.
]Search in Google Scholar
[
Rönnqvist, M., 2003: Optimization in forestry. Mathematical Programming, 97:267–284.
]Search in Google Scholar
[
Sessions, J., Boston, K., Hill, R., Stewart, R., 2005: Log sorting location decisions under uncertainty. Forest Products Journal, 55:53–57.
]Search in Google Scholar
[
Seyedhoseini, S. M., Rashid, R., Kamalpour, I., Zangeneh, E., 2015: Application of queuing theory in inventory systems with substitution flexibility. J Ind Eng Int, 11:37–44.
]Search in Google Scholar
[
Shanthikumar, J. G., Yao, D. D., Zijm, W. H. M., 2003: Stochastic modeling and optimization of manufacturing systems and supply chains, Springer US, 411 p.
]Search in Google Scholar
[
Shegelman, I., Skripnik, V., Pladov, A., Kochanov, A.,2003: Modelirovanie dviženija lesovoznych avtopoezdov na PEVM. Petrozavodsk, PetrSU, 234 p.
]Search in Google Scholar
[
Shulman, A., 1991: An algorithm for solving dynamic capacitated plant location problems with discrete expansion sizes. Operations Research, 39:423–436.
]Search in Google Scholar
[
Song, D., 2013: Optimal control and optimization of stochastic supply chain systems. London, Springer, 271 p.
]Search in Google Scholar
[
Spanjers, L., Ommeren, J. C. W., Zijm, W. H. M., 2006: Closed loop two-echelon repairable item systems: Stochastic Modeling of Manufacturing Systems. Springer Berlin Heidelberg, p. 223–252.
]Search in Google Scholar
[
Troncoso, J., Garrido, R., 2005. Forestry production and logistics planning: an analysis using mixedinteger programming. Forest Policy and Economics, 7:625–633.
]Search in Google Scholar
[
Vinck, B. Bruneel, H., 2006: System delay versus system content for discrete-time queueing systems subject to server interruptions. European Journal of Operational Research, 175:362–375.
]Search in Google Scholar
[
Voronin, A., Kuznetsov, V., 2000: Matematičeskie modeli i metody v planirovanii i upravlenii predprijatiem CP Petrozavodsk, PetrSU, 256 p.
]Search in Google Scholar
[
Wei, R., Murray, A. T., 2012: Spatial uncertainty in harvest scheduling. Annals of Operations Research, 232:275–289.
]Search in Google Scholar
