Penerapan Algoritma Elephant Herding Optimization (EHO) pada Masalah Hybrid Flowshop Scheduling (HFS)
Date
2020-07-01Author
KAMSYAKAWUNI, Ahmad
PALUPI, Khurnia
PRADJANINGSIH, Agustina
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Show full item recordAbstract
The industry is the driving force for the economy in Indonesia. One of the problems
faced by industrial companies in the production process is determining the production
schedule. The production schedule that is not according to the specified target can
cause losses to the company. Scheduling is the allocation of resources to carry out a
set of work at a specified time. The problem solved in this article is hybrid flowshop
scheduling (HFS); companies in bread making will be using it. A solution to solve
the HFS problem using elephant herding optimization (EHO) algorithm. For the
company to complete the production process by minimizing makespan, effective
scheduling is needed, taking into account the number of parallel machines. This
article experimented with nine (9) jobs and seven (7) stages of the production process.
The results of this article makespan 11.270 seconds using the MATLAB software.
EHO algorithm program on HFS problem can minimize time for 36 minutes 39
seconds.
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