Technical gazette, Vol. 25 No. 5, 2018.
Original scientific paper
https://doi.org/10.17559/TV-20161207195125
Production Planning and Optimization of Work Launch Orders Using Genetic Algorithm
Tomislav Brajković
; KEL d.o.o., Stjepana Radića 86, 10312 Kloštar-Ivanić, Croatia
Mladen Perinić
orcid.org/0000-0003-3028-8466
; Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia
Milan Ikonić
; Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia
Abstract
This paper presents genetic algorithm approach for simultaneous production planning and optimization of work launch orders. Genetic algorithm was used to optimize overall quantities of each machine, work launch orders and the number and size of lots, which are going to be launched into production in each operative period. Simulation of work launch orders and quantities of each machine was performed using linked lists of empty spaces. Optimal machine quantities were achieved using linked lists of empty spaces combined with the gene editing procedure. This study has shown that the proposed genetic algorithm can find a shorter production cycle of production assortment inside the operative period, using smaller machine quantities.
Keywords
genetic algorithm; optimization; production cycle; production planning; work launch orders
Hrčak ID:
207423
URI
Publication date:
28.10.2018.
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