Duenas A.Di Martinelly C.Aguado J.Tütüncü Y.2023-06-162023-06-162020https://hdl.handle.net/20.500.14365/39918th International Conference on Information Systems, Logistics and Supply Chain: Interconnected Supply Chains in an Era of Innovation, ILS 2020 -- 22 April 2020 through 24 April 2020 -- 159863This paper presents an approach to production resource allocation applied to a real-world problem within the construction equipment manufacturing industry. It shows an original way of determining the outcome manufacturing production problems using existing mathematical modeling techniques combined with evolutionary heuristics. A multidimensional knapsack problem was formulated, the proposed model being based on an evolutionary algorithm using a three-dimensional binary-coded chromosome. Three different selection strategies were applied to evaluate the algorithm's performance and tests were carried out to show the appropriateness of the solutions. The results obtained were of a high quality from the company's perspective. © Interconnected Supply Chains in an Era of Innovation - Proceedings of the 8th International Conference on Information Systems, Logistics and Supply Chain, ILS 2020. All rights reserved.eninfo:eu-repo/semantics/closedAccessCombinatorial optimizationEvolutionary algorithmHeuristicsMultidimensional multiple-choice knapsack problemResource allocationChromosomesCombinatorial optimizationConstruction equipmentEvolutionary algorithmsInformation systemsInformation useMachineryManufactureResource allocationSupply chainsAlgorithm's performanceEquipment manufacturing industriesEvolutionary heuristicsMultidimensional knapsack problemsMultidimensional multiple-choice knapsackProduction problemsProduction resourcesResource allocation problemThree dimensional computer graphicsConference Object2-s2.0-85085943172