Fuzzy Logic Approach to Determine the Optimum Nugget Production Capacity
This research aimed to present the Fuzzy approach in determining the optimal production capacity of the Nugget Production. The Fuzzy Model was developed by using two membership sets; i.e. the Overall Equipment Effectiveness (OEE) variable membership set of the production machine and Nugget Demand Fo...
Saved in:
Main Authors: | , , , |
---|---|
Format: | UMS Journal (OJS) |
Language: | eng |
Published: |
Department of Industrial Engineering Universitas Muhammadiyah Surakarta
2020
|
Subjects: | |
Online Access: | https://journals.ums.ac.id/index.php/jiti/article/view/10295 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1805342423034888192 |
---|---|
author | Santosa, Sesar Husen Sulaeman, Suhendar Hidayat, Agung Prayudha Ardani, Ilham |
author_facet | Santosa, Sesar Husen Sulaeman, Suhendar Hidayat, Agung Prayudha Ardani, Ilham |
author_sort | Santosa, Sesar Husen |
collection | OJS |
description | This research aimed to present the Fuzzy approach in determining the optimal production capacity of the Nugget Production. The Fuzzy Model was developed by using two membership sets; i.e. the Overall Equipment Effectiveness (OEE) variable membership set of the production machine and Nugget Demand Forecasting. Nugget demand forecasting uses an exponential smoothing method due to its time-series type of query history data. OEE values were calculated using Availability, Performance and Quality Yield. In the Fuzzy approach, the Forecasting Membership Set uses the Triangular Membership Function type, and the OEE Membership Set uses the Trapezoidal Membership Function type. The fuzzy set model produced can be used as a tool for the company in determining the value of the Optimal Capacity production so that demands can be fulfilled and the product stocks decrease. |
format | UMS Journal (OJS) |
id | oai:ojs2.journals.ums.ac.id:article-10295 |
institution | Universitas Muhammadiyah Surakarta |
language | eng |
publishDate | 2020 |
publisher | Department of Industrial Engineering Universitas Muhammadiyah Surakarta |
record_format | ojs |
spelling | oai:ojs2.journals.ums.ac.id:article-10295 Fuzzy Logic Approach to Determine the Optimum Nugget Production Capacity Santosa, Sesar Husen Sulaeman, Suhendar Hidayat, Agung Prayudha Ardani, Ilham fuzzy approach; OEE; forecasting; membership set; optimal capacity This research aimed to present the Fuzzy approach in determining the optimal production capacity of the Nugget Production. The Fuzzy Model was developed by using two membership sets; i.e. the Overall Equipment Effectiveness (OEE) variable membership set of the production machine and Nugget Demand Forecasting. Nugget demand forecasting uses an exponential smoothing method due to its time-series type of query history data. OEE values were calculated using Availability, Performance and Quality Yield. In the Fuzzy approach, the Forecasting Membership Set uses the Triangular Membership Function type, and the OEE Membership Set uses the Trapezoidal Membership Function type. The fuzzy set model produced can be used as a tool for the company in determining the value of the Optimal Capacity production so that demands can be fulfilled and the product stocks decrease. Department of Industrial Engineering Universitas Muhammadiyah Surakarta 2020-06-23 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journals.ums.ac.id/index.php/jiti/article/view/10295 10.23917/jiti.v19i1.10295 Jurnal Ilmiah Teknik Industri; Vol. 19, No. 1, June 2020; 70 - 83 Jurnal Ilmiah Teknik Industri; Vol. 19, No. 1, June 2020; 70 - 83 2460-4038 1412-6869 eng https://journals.ums.ac.id/index.php/jiti/article/view/10295/5677 Copyright (c) 2020 Jurnal Ilmiah Teknik Industri http://creativecommons.org/licenses/by-sa/4.0 |
spellingShingle | fuzzy approach; OEE; forecasting; membership set; optimal capacity Santosa, Sesar Husen Sulaeman, Suhendar Hidayat, Agung Prayudha Ardani, Ilham Fuzzy Logic Approach to Determine the Optimum Nugget Production Capacity |
title | Fuzzy Logic Approach to Determine the Optimum Nugget Production Capacity |
title_full | Fuzzy Logic Approach to Determine the Optimum Nugget Production Capacity |
title_fullStr | Fuzzy Logic Approach to Determine the Optimum Nugget Production Capacity |
title_full_unstemmed | Fuzzy Logic Approach to Determine the Optimum Nugget Production Capacity |
title_short | Fuzzy Logic Approach to Determine the Optimum Nugget Production Capacity |
title_sort | fuzzy logic approach to determine the optimum nugget production capacity |
topic | fuzzy approach; OEE; forecasting; membership set; optimal capacity |
topic_facet | fuzzy approach; OEE; forecasting; membership set; optimal capacity |
url | https://journals.ums.ac.id/index.php/jiti/article/view/10295 |
work_keys_str_mv | AT santosasesarhusen fuzzylogicapproachtodeterminetheoptimumnuggetproductioncapacity AT sulaemansuhendar fuzzylogicapproachtodeterminetheoptimumnuggetproductioncapacity AT hidayatagungprayudha fuzzylogicapproachtodeterminetheoptimumnuggetproductioncapacity AT ardaniilham fuzzylogicapproachtodeterminetheoptimumnuggetproductioncapacity |