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Within the context of biomass production, this paper proposes a method forlogistics optimisation. Starting from a headquarter multiple tours are to beexecuted simultaneously by groups of harvesting units (HUs) and support units(SUs) to first harvest biomass from multiple agricultural fields, beforesupplying the biomass to multiple biogas plants (BPs) via shuttling SUs. Thisproblem is relevant on a larger scale in particular for contractors. Thisproblem is complex since there are three interconnected optimisation levels:(i) the assignment of BPs to tours and the ordering of BPs assigned to eachtour, (ii) the assignment of fields to BPs and the ordering of fields assignedto each BP, and (iii) determining the number of HUs and SUs assigned to eachtour, whereby different HUs and SUs may in general have different working ratesand loading capacities. Problem modeling and a solution method are discussed.For the latter, a GPU-accelerated heuristic search algorithm is proposed. Forthe former, an optimisation criterion minimising both total accumulated pathlength and the maximum completion time over all harvesters tours, an embeddedlocal minimisation for the assignment of SUs to tours, and demand fulfilmentconstraints for BPs are discussed. In stochastic simulation experiments it isfound that permitting unconstrained assignment of any available field that acontractor services to any available BP, independent of their ownerships, iscrucial (i) to attain maximum path length savings, and (ii) also to bestbalance and minimise uniform completion times over all harvesters tours suchthat weather-dependent harvesting windows can be exploited optimally.

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