Evrim Ursavas GüldoganGuldogan, Evrim Ursavas2025-10-06201114333015, 026837680268-37681433-301510.1007/s00170-010-3063-y2-s2.0-79958854163https://www.scopus.com/inward/record.uri?eid=2-s2.0-79958854163&doi=10.1007%2Fs00170-010-3063-y&partnerID=40&md5=e2804b16af408c67c617a91615b15473https://gcris.yasar.edu.tr/handle/123456789/10232https://doi.org/10.1007/s00170-010-3063-yMachine selection and operation allocation is a multi-criteria decision-making problem which involves the consideration of both qualitative and quantitative factors. Thus a hybrid model integrating the knowledge-based expert system and the genetic algorithm may be effectively applied to the decision problem. This paper proposes a two-step approach where suitable machines for every operation in a work center is selected and optimized as a whole to obtain the optimum machine park. The first step of the model determines the suitability of each machine type for every operation using the knowledge-based expert system. The second stage searches through the solution space to find the optimal machine park with the use of a genetic algorithm. A real-life case study at an outdoor advertisement manufacturing company demonstrates the applicability of the model. © 2010 Springer-Verlag London Limited. © 2011 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessDecision Support Systems, Expert Systems, Genetic Algorithms, Machine Selection, Operation Allocation, Decision Problems, Hybrid Model, Integrated Approach, Knowledge-based Expert Systems, Machine Selection, Manufacturing Companies, Multi Criteria Decision Making, Operation Allocation, Quantitative Factors, Solution Space, Two-step Approach, Artificial Intelligence, Decision Making, Decision Support Systems, Genetic Algorithms, Machine Tools, Optimization, Parks, Expert SystemsDecision problems, Hybrid model, Integrated approach, Knowledge-based expert systems, Machine selection, Manufacturing companies, Multi criteria decision making, Operation allocation, Quantitative factors, Solution space, Two-step approach, Artificial intelligence, Decision making, Decision support systems, Genetic algorithms, Machine tools, Optimization, Parks, Expert systemsOperation AllocationExpert SystemsMachine SelectionGenetic AlgorithmsDecision Support SystemsArticle