Ozturk, CemalettinTunali S.Hnich B.Örnek, Mustafa Arslan2023-06-162023-06-1620139.78E+121474-6670https://doi.org/10.3182/20130619-3-RU-3018.00413https://hdl.handle.net/20.500.14365/3758et al.;for Management and Control;IFAC Technical Committee 3.2 on Computational;Intelligence in Control;International Federation of Automatic Control (IFAC) -;Technical Committee 5.2 - Manufacturing Modelling7th IFAC Conference on Manufacturing Modelling, Management, and Control, MIM 2013 -- 19 June 2013 through 21 June 2013 -- Saint Petersburg -- 99324Mixed model assembly lines are used to produce multiple copies of given minimum part set (MPS). Considering only one copy (cycle) of the MPS while solving the mixed-model balancing and scheduling problem yields suboptimal solutions since blocking and idle times of stations between repeated copies are ignored. Modeling and solving this problem in a cyclic manner can significantly overcome these inefficiencies and improve the throughput of the line. In this paper, after investigating the nature of the problem, we propose exact and heuristic methods for practical applications and evaluate their performances on various size test instances. © IFAC.eninfo:eu-repo/semantics/openAccessBalancingConstraint programmingCyclic schedulingFlexible manufacturingMixed model assembly linesAssemblyAssembly machinesBalancingComputer programmingConstraint theoryHeuristic methodsManufactureSchedulingConstraint programmingCyclic schedulingFlexible manufacturingMixed modelingMixed-model assembly linesScheduling problemSuboptimal solutionTest instancesProblem solvingConference Object10.3182/20130619-3-RU-3018.004132-s2.0-84884292866