![]() ![]() Solving unequal-area static and dynamic facility layout problems using modified particle swarm optimization. International Journal of Chemical Engineering.Īrmour, G. Tuning genetic algorithm parameters to improve convergence time. Journal of Intelligent Manufacturing.Īngelova, M., & Pencheva, T. Developing a multiobjective genetic optimisation approach for an operational design of a manual mixed-model assembly line with walking workers. A non dominated ranking multi objective genetic algorithm and electre method for unequal area facility layout problems. Journal of Computers and industrial engineering, 107(2017), 158–170.Īiello, G., Scalia, G. A survey on multi-floor facility layout problems. Journal of applied Mathematical Modelling, 40(9–10), 5605–5620.Īhmadi, A., Pishvaee, M. ![]() An efficient multiple-stage mathematical programming method for advanced single and multi-floor facility layout problems. Finally, we present a set of conclusions regarding the suggested methodology and discuss our future research goals.Īhmadi, A., & Jokar, M. The first idea is to use the \( \) algorithm. This cost is a function of the distance that the products should cover within the facility. The goal is to minimise the total material handling cost subjected to production-derived constraints. This work proposes a new methodology and mathematical formulation to address the facility layout problem. ![]()
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