GPU-accelerated Logistics Optimisation for Biomass Production with Multiple Simultaneous Harvesters Tours, Fields and Plants

摘要: Within the context of biomass production, this paper proposes a method for logistics optimisation. Starting from headquarter multiple tours are to be executed simultaneously by groups harvesting units (HUs) and support (SUs) first harvest agricultural fields, before supplying biogas plants (BPs) via shuttling SUs. This problem is relevant on larger scale in particular contractors. complex since there three interconnected optimisation levels: (i) assignment BPs ordering assigned each tour, (ii) fields BP, (iii) determining number HUs SUs whereby different may general have working rates loading capacities. Problem modeling solution discussed. For latter, GPU-accelerated heuristic search algorithm proposed. former, an criterion minimising both total accumulated path length maximum completion time over all harvesters tours, embedded local minimisation demand fulfilment constraints In stochastic simulation experiments it found that permitting unconstrained any available field contractor services independent their ownerships, crucial attain savings, also best balance minimise uniform times such weather-dependent windows can exploited optimally.