Maatalousmuovin keräyksen kuljetuskustannustehokkuuden arviointi

Abstract

This study develops and applies a logistic route-optimizing model of the collection of bale wrap waste from farms in North Karelia, Finland. To assess cost-efficiency the model analyzed three collection scenarios for one- and three-year collection intervals by full trailer combination truck and annually by lorry. According to our study the cheapest per tonne cost to collect bale wrap waste is to carry out a collection every third year by full trailer combination truck. In the three-year option the per tonne cost is 54,5 percent of the cost collecting waste by lorry annually and 42,2 percent of the per tonne cost collecting waste by full trailer combination truck annually. To maximize the loading grade of a vehicle only, the collection of waste can be made most efficiently by lorries. The study demonstrates the importance of purposefully selecting the vehicle type and the collection intervals in collecting bulk plastic waste.

Measuring Accessibility and Optimising Logistics of Marginal Land Grass Biomass in the Case of Northern Ostrobothnia, Finland

“…The analytical framework is largely applied to centralised delivery or collection types of study settings (see Bosona et al, 2011;Korhonen et al, 2017;Kosovac et al, 2020;Kotavaara et al, 2017;Yu et al, 2021), including also logistic optimisation of rural side stream flows (Lemire et al, 2019). There are also several studies applying location optimisation for rural cases in Finland such as accessibility of local and organic food (Kotavaara et al, 2014), bale wrapping waste from farms in North Karelia, Finland (Tepponen et al, 2020) and location optimisation for cattle and pig manure-based biogas reactors in Northern Ostrobothnia, Finland (Kotavaara et al, 2022). Logistic models for grass biomass transport have been designed and calculated previously (e.g., Gunnarsson et al, 2008), but these analyses lack the geographic, i.e., the spatial, component.…”

“…For example, the different transport scenarios and resulting routing solutions could be compared with a wider range of accessibility metrics such as a precise monetary cost or carbon dioxide (CO 2 ) emissions. The monetary cost could be applied by a fixed hourl-based transport vehicle cost or by a more precise cost model including several detailed vehicle cost factors (see, e.g., Tepponen et al, 2020).…”