Open AccessSolving Just-in-Time Single Machine Scheduling with Variable Discrete Speed Machine using Hybrid NSGA-II
Author(s) -
Bobby Kurniawan,
Ade Irman,
Evi Febianti,
K Kulsum,
Lina Herlina,
Muhammad Adha Ilhami,
Yusraini Muharni,
Fellek Getu Tadesse
Publication year - 2021
Publication title -
jurnal teknik industri
Language(s) - English
Resource type - Journals
eISSN - 2527-4112
pISSN - 1978-1431
DOI - 10.22219/jtiumm.vol22.no2.211-223
Subject(s) - tardiness , mathematical optimization , energy consumption , scheduling (production processes) , computer science , scarcity , job shop scheduling , renewable energy , industrialisation , engineering , mathematics , economics , market economy , schedule , electrical engineering , microeconomics , operating system
Due to industrialization and population growth, increasing energy demand can lead to energy scarcity because non-renewable resources are primarily used as energy sources. In addition, carbon dioxide gas, the waste of industrialization, can harm the environment. Therefore, environmentally friendly methods are encouraged in the industrial environment as energy preservation and climate change mitigation. This research discusses just-in-time single machine scheduling that takes into account energy consumption. In this research, energy consumption depends on the machine’s speed. The objectives are minimizing the just-in-time (JIT) penalty (the sum of weighted earliness/tardiness) and energy consumption. This research proposed a hybrid NSGA-II with a local search to solve the multi-objective scheduling problem. Thus, solving the JIT single-machine scheduling problem considers energy consumption to conserve energy and increase production efficiency. Numerical experiments demonstrated that the hybrid NSGA-II with local search is more effective than the standard NSGA-II in solving the problem. Therefore, decision-makers can use the scheduling model to select alternative solutions that consider energy and the environment without sacrificing efficiency.