Online product allocation in poultry batchers with lookahead

• HGA for online product allocation reduces give-away and achieves target throughput. outperforms current practice in terms of giveaway throughput adherence a case study. Incorporating prediction the fitness function improves performance. Poultry processing plants utilize batchers to produce products, aiming minimize operational costs while adhering imposed by their customers. This paper studies production control such batchers, leading an online, time-constrained, bi-objective decision problem. To solve this problem, we introduce genetic algorithm equipped with local search novel cost function. hybrid (HGA) is shown be competitive complete enumeration approaches, other heuristics small-scale experiments. We also conduct numerical analysis that evaluates sensitivity problem setting. Finally, industry study shows significantly costs, nearly eliminates deviations from compared practice.