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All Journal Jurnal Teknik Industri
Ahmed Nedal Abid Al Kareem Jabari
Department of Mechanical Engineering, Palestine Polytechnic University, Hebron, Palestine
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering

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Energy-Aware Scheduling in Hybrid Flow Shop using Firefly Algorithm Ahmed Nedal Abid Al Kareem Jabari; Afif Hasan
Jurnal Teknik Industri Vol. 22 No. 1 (2021): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (413.439 KB) | DOI: 10.22219/JTIUMM.Vol22.No1.18-30

Abstract

Nowadays, the industrial sector takes up a significant portion of the world's total energy consumption. This sector is responsible for half of the total energy consumed in the world. Therefore, efficiency in the industrial sector becomes an essential issue. One of the main factors triggering the high energy consumption in this sector is that many machines are left idle. Idle machines during the manufacturing process require electricity and other energies. This research aimed to develop a firefly algorithm that can minimize the energy consumption in the hybrid flow shop scheduling problem. This algorithm is used to determine the optimum order of the jobs. The ultimate goal is to minimize energy consumption. The experiment on the algorithm was conducted by employing iteration and population variations. The research results show that population and iteration affect the quality of the hybrid flow shop scheduling solution.
Co-Authors Afif Hasan