Claudia Cristina Bocanegra-Herrera

Juan Pablo Orejuela-Cabrera


Introduction: this study proposes a method to designand balance a cellular manufacturing system of a typicalindustrial company to obtain an optimal configuration interms of the process, total cost, idle time and reliabilitycriteria. Methods: the developed method has three phases.The first phase obtains candidate solutions using optimizationmodels to minimize the cycle time and total cost.In the second phase, the performance measures for theremaining criteria of each candidate solution are foundusing discrete-event simulation. In the last phase, theoptimal configuration is selected using the analyticnetwork process (ANP). Results: the proposed methodwas validated with a practical case, where the optimalconfiguration had the best reliability with a zero-smoothnessindex, which minimized the wasted time and excessinventory. However, it was not the configuration withthe lowest cost. Conclusions: This method has twocontributing elements: multiple lean criteria and theapproach, which combines different solution strategiesto select the best configuration in an integral manner.



Cellular manufacturing, optimization, discrete-event simulation, analytic network process

How to Cite
Bocanegra-Herrera, C., & Orejuela-Cabrera, J. (2016). Cellular manufacturing system selection with multi-lean measures using optimization and simulation. Ingenieria Y Universidad, 21(1), 7 - 25. https://doi.org/10.11144/Javeriana.iyu21-1.dcms
Industrial and systems engineering
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