Application of Methods for Scheduling Tasks in the Production of Biofuels

Abstract

This work analyses possibilities of applying task prioritization methods in the production of biofuels, based on bibliometric analysis. The results of the bibliometric analysis have shown that studies on applying task prioritization methods in biofuels production have not been conducted on a large scale so far (only 96 indexed works have been published in the Scopus database). In the documents being analysed, the application of prioritization methods concerned mainly production (raw material optimisation and processing, classical and new production technologies, cost reduction, environmental impact reduction, and the like) and logistics (supply chain optimisation, including planting, harvesting, transport, storage, distribution etc.). Mainly advanced task prioritisation methods have been used: MILP (mixed-integer linear programming), Linear Programming Model, Stochastic Sequential Programming and Multi-Objective Genetic Algorithm.