Reducción del desperdicio «espera» en líneas de ensamble mediante el uso de heurísticas y escenarios de simulación

Abstract

In this paper we propose a methodology based

on clusterizations, simulation and a heuristic

assignment with the purpose of identifying

forklift drivers wich will send materials from

the various storages throughout the production

cells and thereby reduce waiting times due

to material shortages in manufacturing

plants that operate under Lean Manufacturing

philosophy. Several clusters were compared,

which were, obtained through empirical

methods, hierarchical clustering methods and the

Hungarian method.

To implement and validate the proposed

methodology, a simulation model was used,

representing the production system for

constant velocity joints, which consists of

stores, productive cells and forklift drivers to

send materials. In this model the performance

of each of the clusters was tested and the loss

percentage due to material shortage in each cell

was calculated, depending on the cluster.

Through the proposed methodology was

possible to analyze the performance of different

clustering strategies and determine which one is

more efficient without the need of compromising

business productivity.