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All Journal Jurnal Teknik Industri Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Metris: Jurnal Sains dan Teknologi
Yeny Krista Franty
Departemen Statistika, Fakultas MIPA, Universitas Padjadjaran
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Mathematics

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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.
PEMBUATAN APLIKASI PRAKTIS DESAIN BLOK ACAK LENGKAP MENGGUNAKAN BAHASA PEMROGRAMAN LAZARUS Budhi Handoko; Yeny Krista Franty; Gumgum Darmawan
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 9 No 1 (2017): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Publisher : Jurusan Matematika FMIPA Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2017.9.1.2852

Abstract

Completely Randomized Block Design is one type of design experiments in Statistics which is used to conduct experiment involving treatments and blocks. Blocking is used to make experimental unit become homogen in each blok. Analysis to the reults of the experiment using the design usually perform using licensed software such as SPSS or Minitab. In order to use those softwares, we have to buy the license. In addition, if use them, we have to arrange the data into column form which require knowledge about orthogonality principle. This research will develop an application to analyze the experimental data easily, because the input in the form of table that suitable with experimental data format. In this research we used Lazarus Visual Programming which is one of open source software. The result of this research is a practical application that can be used to analyze experimental result produced using completely randomized block design which is bery easy to use. Experimental data from table of experimental result can be directly copied into the cells of the program thus data entry can be fastened. This program is an executable file (*.exe) so it is not necessary to be installed and the size of file is small enough which is 19 megabyte.
Jadwal Preventive Maintainance Mesin Menggunakan Algoritma Genetik Steady State Dengan Fungsi Kecocokan Berbasis Required Reliability Budhi Handoko; Yeny Krista Franty
Jurnal METRIS Vol. 18 No. 01 (2017): 2017
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Preventive maintainance activities are very important for manufacturing industries in order to maintain lifetime of their components/machines and to improve their performances. This research determines preventive maintainance schedules which minimize total cost and maximize reliability of components/machines. Some methods are already developed to obtain the schedule, exact method for example, has been used for many years. However this method having a drawback in the optimization process, in particular is model complexity, time consuming, and may lead to produce unfeasible solutions. Therefore, to overcome the problems, this research use another possible method namely Steady State Genetic Algorithm (SSGA). This research uses fitness function that is depend on Required Reliability which is stated by the company.In this research, SSGA is used to solve the problem of optimizationing in determining preventive maintainace schedule. This method was implemented to determine preventive maintainace schedule of Freeze Drying belongs to Pindad Cooperation. In this case, SSGA involed population size of 2,000 becauseit produces small variance solution and genetic cycle of 500 which produce convergent values based both on cost and reliability. According to the schedule, if the manufacturer would like to obtain machine reliability of60%, then there are not any maintaince avctivites requred during the period of 15 months. In addition, ifthe reliabilityof 80% required, then the company should perform replacement action on the first month and the tenth month. The company should alse perform maintainance activity on the fourth month with cost needed to do the actions is Rp 784,450. This schedule produces reliability for the machine of 68.71%.
PEMBUATAN APLIKASI PRAKTIS DESAIN BLOK ACAK LENGKAP MENGGUNAKAN BAHASA PEMROGRAMAN LAZARUS Budhi Handoko; Yeny Krista Franty; Gumgum Darmawan
Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Vol 9 No 1 (2017): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2017.9.1.2852

Abstract

Completely Randomized Block Design is one type of design experiments in Statistics which is used to conduct experiment involving treatments and blocks. Blocking is used to make experimental unit become homogen in each blok. Analysis to the reults of the experiment using the design usually perform using licensed software such as SPSS or Minitab. In order to use those softwares, we have to buy the license. In addition, if use them, we have to arrange the data into column form which require knowledge about orthogonality principle. This research will develop an application to analyze the experimental data easily, because the input in the form of table that suitable with experimental data format. In this research we used Lazarus Visual Programming which is one of open source software. The result of this research is a practical application that can be used to analyze experimental result produced using completely randomized block design which is bery easy to use. Experimental data from table of experimental result can be directly copied into the cells of the program thus data entry can be fastened. This program is an executable file (*.exe) so it is not necessary to be installed and the size of file is small enough which is 19 megabyte.
Co-Authors Budhi Handoko Budhi Handoko Gumgum Darmawan