2015-02-202013-05-03Mario C. Vélez-Gallego, Jhull B. Jaramillo Heuristic to allocate intermediate buffer storage capacities in a production line subject to machine breakdowns. Proceedings of the 24th Annual Conference of the Production and Operations Management Society (POMS), Denver, CO, May 3rd – 6th, 2013.http://hdl.handle.net/10784/4996In this research proposal we consider a production line subject to random failures at each workstation and operating under a make-to-stock policy -- Every time a workstation fails, a corrective maintenance activity is triggered to repair the workstation -- In order to palliate the effect of the random failures in the performance of the system, intermediate buffers are placed in-between workstations -- An inventory holding cost is associated to eachbuffer -- The research objective in this work is to allocate capacity to each intermediate buffer in the line so that the average cost per time unit is minimized while the average service level is kept above a minimum pre-specified value -- In this paper we assume that unsatisfied demand is lost and the service level is defined as the long term proportion of satisfied demand -- A greedy simulation–based heuristic is presented to find a feasible solution to the problemIn this research proposal we consider a production line subject to random failures at each workstation and operating under a make-to-stock policy -- Every time a workstation fails, a corrective maintenance activity is triggered to repair the workstation -- In order to palliate the effect of the random failures in the performance of the system, intermediate buffers are placed in-between workstations -- An inventory holding cost is associated to eachbuffer -- The research objective in this work is to allocate capacity to each intermediate buffer in the line so that the average cost per time unit is minimized while the average service level is kept above a minimum pre-specified value -- In this paper we assume that unsatisfied demand is lost and the service level is defined as the long term proportion of satisfied demand -- A greedy simulation–based heuristic is presented to find a feasible solution to the problemenginfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/restrictedAccessANÁLISIS ESTOCÁSTICOPROGRAMACIÓN HEURÍSTICAALGORITMOS GENÉTICOSPROCESOS ESTOCÁSTICOSOPTIMIZACIÓN COMBINATORIAESTACIONES DE TRABAJOINVENTARIOSMANTENIMIENTOPLANIFICACIÓN DE LA PRODUCCIÓNStochastic analysisHeuristic programmingGenetic algorithmsStochastic processesCombinatorial optimizationMicrocomputer workstationsInventoriesMaintenanceProduction planningFallos aleatoriosGestión de inventariosEstaciones de trabajoAcceso restringido2015-02-20Vélez Gallego, Mario CésarJaramillo Jiménez, Jhull Breynner