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All Journal Jurnal Teknik Industri Spektra: Jurnal Fisika dan Aplikasinya Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Budhi Handoko
Statistics Department, Faculty Of Mathematics And Natural Sciences, Padjadjaran University, Sumedang, Indonesia
Aerospace Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics

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Journal : Jurnal Teknik Industri

 1 
The Determination of Preventive Maintenance using Simulated Annealing Algorithm Based on Weighted Fitness Function Franty, Yeny Krista; Handoko, Budhi
Jurnal Teknik Industri Vol 20, No 1 (2019): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.963 KB) | DOI: 10.22219/JTIUMM.Vol20.No1.53-61

Abstract

This study aims to determine the machine maintenance schedule. We use the Simulated Annealing Algorithm. Fitness and reliability functions are functions that are used in the optimization process. Several weighting scenarios are done to see the unity of the function. The results of the scenario produce several alternative schedules. This algorithm is implemented on machines that have more than one sub-machine. This sub-machine is a smaller engine system part. This sub-machine also has one particular function. The results of the study show that the optimal engine maintenance period to use is six periods. There are five scheduling scenarios used in this problem. The resulting schedule can increase the value of reliability and can minimize costs.
The Determination of Preventive Maintenance using Simulated Annealing Algorithm based on Weighted Fitness Function Yeny Krista Franty; Budhi Handoko
Jurnal Teknik Industri Vol. 20 No. 1 (2019): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.661 KB) | DOI: 10.22219/JTIUMM.Vol20.No1.53-61

Abstract

This study aims to determine the machine maintenance schedule. We use the Simulated Annealing Algorithm. Fitness and reliability functions are functions that are used in the optimization process. Several weighting scenarios are done to see the unity of the function. The results of the scenario produce several alternative schedules. This algorithm is implemented on machines that have more than one sub-machine. This sub-machine is a smaller engine system part. This sub-machine also has one particular function. The results of the study show that the optimal engine maintenance period to use is six periods. There are five scheduling scenarios used in this problem. The resulting schedule can increase the value of reliability and can minimize costs.
Co-Authors Gumgum Darmawan Sri Winarni Yeny Krista Franty Zulhanif Zulhanif