Determination of the Weights of Technical Criteria Influencing the Performance of Petrol-Powered and Battery Powered Chainsaws by Means of the Entropy Method
Abstract
Chainsaws are widely used in the tree cutting phase of wood harvesting activity in forest operations. In general, there are two types of chainsaws: petrol-powered and battery-powered. The performance of petrol and battery-powered chainsaws is affected by different factors, including moisture content of the wood, the tree species, environmental conditions, the experience of the operator, and the different technical characteristics of the chainsaw (power, weight, chain rotation speed, and bar length). This study aims to determine the weight of technical criteria affecting performance of petrol-powered chainsaws and battery-powered chainsaws. In the study, the entropy method was used for weight determination of the criteria. As technical criteria, chain speed at maximum power, total cylinder capacity, power, bar length, chain pitch, and weight criteria were taken into consideration for petrol-powered chainsaws. In battery-powered chainsaws, chain speed at maximum power, bar length, chain pitch, weight, and battery voltage criteria were considered. When the weight values of the technical criteria are evaluated in general, the most important performance criterion in petrol-powered chainsaws is the power criterion, while the chain speed at maximum power criterion in battery-powered saws. Based on that the power factor is the important for both chainsaws. In general, the results of this study will be beneficial for users to know how effective the technical criteria are in terms of performance in the alternative selection of different types of chainsaws, which are frequently used in different activities such as during the tree cutting phase in forest operations, pruning, and garden maintenance in urban areas.
Keywords
forest operations , logging , multicriteria-decision making method , wood harvesting
References
- Akay, A.O., Senturk, E., Akgul, M., Demir, M. 2023. Spatial assessment of sediment risk with integrated entropy-based WASPAS and fuzzy clustering methods in Turkey: impact of forestry activities and meteorological factors. Environmental Monitoring and Assessment, 195(10):1201.
- Alao, M.A., Ayodele, T.R., Ogunjuyigbe, A.S.O., Popoola, O.M. 2020. Multi-criteria decision based waste to energy technology selection using entropy-weighted TOPSIS technique: The case study of Lagos, Nigeria. Energy, 201: 117675.
- Antonić, S., Danilović, M., Stojnić, D., Dražić, S. 2023. Impact of chainsaw power on fuel and oil consumption. Sustainability, 15(3):2795.
- Bernardi, B., Macrì, G., Falcone, G. 2022. Productivity and life cycle assessment (LCA) of tree felling by chainsaw in thinning of calabrian pine stands. Environmental Sciences Proceedings, 22(1):10.
- Chen, W., Feng, D., Chu, X. 2015. Study of poverty alleviation effects for Chinese fourteen contiguous destitute areas based on entropy method. International Journal of Economics and Finance, 7(4), 89-98.
- Ciubotaru, A., Câmpu, R.V. 2018. Delimbing and cross-cutting of coniferous trees–time consumption, work productivity and performance. Forests, 9(4):206.
- Colantoni, A., Mazzocchi, F., Cossio, F., Cecchini, M., Bedini, R., Monarca, D. 2016. Comparisons between battery chainsaws and internal combustion engine chainsaws: performance and safety. Contemporary Engineering Sciences, 9(27): 1315–1337.
- Czyzowski, P., Korcz, N., Flis, M. 2022. Effects of time of year and chainsaw operator experience on tree felling safety. Sylwan, 166(8):491-499.
- Goswami, S.S., Behera, D.K. 2021. Implementation of ENTROPY-ARAS decision making methodology in the selection of best engineering materials. Materials Today: Proceedings, 38: 2256–2262.
- Gulci, N., Akay, A.E., Erdas, O. 2016. Investigation of timber harvesting operations using chainsaw considering productivity and residual stand damage: The Case of Bahçe Forest Enterprise Chief. Journal Of The Faculty Of Forestry-Istanbul University, 66(2): 357-368.
