Jurnal Teknik Industri
Vol 20, No 1 (2019): February

The Determination of Preventive Maintenance using Simulated Annealing Algorithm Based on Weighted Fitness Function

Franty, Yeny Krista (Unknown)
Handoko, Budhi (Unknown)

Article Info

Publish Date
22 Feb 2019

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.

Copyrights © 2019




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Full PDF
350.963 KB
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Jurnal Teknik Industri
Website

Abbrev

industri

Publisher

Universitas Muhammadiyah Malang

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering

Description

Dr. Saiful Anwar Malang is a state hospital has done it is job and function, but in 3rd class of pavilion room, the number of patient decrease dramatically. It is concerned with quality of this hospital. To answer this problem, research was done using Quality Function Deployment (QFD). Quality ...