Management of task scheduling for production in machining workshops with MOEAs systems 1403 352
DOI:
https://doi.org/10.51896/rilco.v6i21.421Keywords:
Management, scheduling, MOEAs, NSAG-IIIAbstract
Currently, the management of productive programming in manufacturing companies determines the efficient use of resources and the timely delivery of finished products to customers. In this context, given the limitations in the logistics of raw materials, industrial plants adopt solutions based on multi-objective optimization for the management of production capacities. This work focuses on improving the efficiency of short-term production in working shops, using the variant of the multi-objective evolutionary method (MOEAs). Three variables are considered in the optimal multi-objective model: production cost, production volume and the surface finish of the parts. Four objectives are taken to minimize: speed of the abrasive tool, speed of the part, depth of cut and feed. As a case study, a grinding process was taken for the production of prismatic metal parts in a working shop. The quantitative evaluation of the management of the production schedule is shown and the effectiveness of the proposed method is demonstrated when making the comparison with two optimization methods.
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