Multi-objective optimization model of cutting parameters for a sustainable multi-pass turning process
The turning process involves the linear removal of material from the work-piece and requires a relatively high amount of energy. The high energy consumption of the machining process increases carbon emissions, which affects the environment. Moreover, production costs will rise as the cost of energy...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | Indonesian |
| Published: |
Universitas Serang Raya
2023-06-01
|
| Series: | Jurnal Sistem dan Manajemen Industri |
| Subjects: | |
| Online Access: | https://e-jurnal.lppmunsera.org/index.php/JSMI/article/view/5747 |
| _version_ | 1797305010485198848 |
|---|---|
| author | Wahyu Widhiarso Ibnu Abdul Rosid Rieska Ernawati |
| author_facet | Wahyu Widhiarso Ibnu Abdul Rosid Rieska Ernawati |
| author_sort | Wahyu Widhiarso |
| collection | DOAJ |
| description | The turning process involves the linear removal of material from the work-piece and requires a relatively high amount of energy. The high energy consumption of the machining process increases carbon emissions, which affects the environment. Moreover, production costs will rise as the cost of energy rises. Energy savings during the machining process are crucial for achieving sustainable manufacturing. In order to determine and optimize the cutting parameters, this study creates a multi-pass turning processes optimi¬zation model. It considers cutting speeds, feed rates, and depth of cut. In this study, the model uses multi-objective optimization by incorporating three objective functions: processing time, energy consumption and product¬ion costs. OptQuest completed the proposed model in Oracle Crystal Ball software, then normalized and weighted the sum. Ordering preferences, the Multi-Objective Optimization based on Ratio Analysis (MOORA) approach is utilized. It ranks items based on their higher priority values. This paper provides a numerical example to demonstrate the application of an optimi¬zation model. Based on the preference order ranking results, the optimal values for three objective functions are as follows: total processing time of 4.953 min, the total energy consumption of 5.434 MJ, and total production cost of 395.21$. |
| first_indexed | 2024-03-08T00:18:43Z |
| format | Article |
| id | doaj.art-183b6756c2fa4dca9cb30254cce25b44 |
| institution | Directory Open Access Journal |
| issn | 2580-2887 2580-2895 |
| language | Indonesian |
| last_indexed | 2024-03-08T00:18:43Z |
| publishDate | 2023-06-01 |
| publisher | Universitas Serang Raya |
| record_format | Article |
| series | Jurnal Sistem dan Manajemen Industri |
| spelling | doaj.art-183b6756c2fa4dca9cb30254cce25b442024-02-16T14:10:15ZindUniversitas Serang RayaJurnal Sistem dan Manajemen Industri2580-28872580-28952023-06-017111410.30656/jsmi.v7i1.57475747Multi-objective optimization model of cutting parameters for a sustainable multi-pass turning processWahyu Widhiarso0Ibnu Abdul Rosid1Rieska Ernawati2Universitas Setia Budi SurakartaUniversitas Jenderal Achmad Yani YogyakartaUniversitas Islam Sultan Agung SemarangThe turning process involves the linear removal of material from the work-piece and requires a relatively high amount of energy. The high energy consumption of the machining process increases carbon emissions, which affects the environment. Moreover, production costs will rise as the cost of energy rises. Energy savings during the machining process are crucial for achieving sustainable manufacturing. In order to determine and optimize the cutting parameters, this study creates a multi-pass turning processes optimi¬zation model. It considers cutting speeds, feed rates, and depth of cut. In this study, the model uses multi-objective optimization by incorporating three objective functions: processing time, energy consumption and product¬ion costs. OptQuest completed the proposed model in Oracle Crystal Ball software, then normalized and weighted the sum. Ordering preferences, the Multi-Objective Optimization based on Ratio Analysis (MOORA) approach is utilized. It ranks items based on their higher priority values. This paper provides a numerical example to demonstrate the application of an optimi¬zation model. Based on the preference order ranking results, the optimal values for three objective functions are as follows: total processing time of 4.953 min, the total energy consumption of 5.434 MJ, and total production cost of 395.21$.https://e-jurnal.lppmunsera.org/index.php/JSMI/article/view/5747cutting parametermooramulti-objective optimizationmulti-pass turningsustainable |
| spellingShingle | Wahyu Widhiarso Ibnu Abdul Rosid Rieska Ernawati Multi-objective optimization model of cutting parameters for a sustainable multi-pass turning process Jurnal Sistem dan Manajemen Industri cutting parameter moora multi-objective optimization multi-pass turning sustainable |
| title | Multi-objective optimization model of cutting parameters for a sustainable multi-pass turning process |
| title_full | Multi-objective optimization model of cutting parameters for a sustainable multi-pass turning process |
| title_fullStr | Multi-objective optimization model of cutting parameters for a sustainable multi-pass turning process |
| title_full_unstemmed | Multi-objective optimization model of cutting parameters for a sustainable multi-pass turning process |
| title_short | Multi-objective optimization model of cutting parameters for a sustainable multi-pass turning process |
| title_sort | multi objective optimization model of cutting parameters for a sustainable multi pass turning process |
| topic | cutting parameter moora multi-objective optimization multi-pass turning sustainable |
| url | https://e-jurnal.lppmunsera.org/index.php/JSMI/article/view/5747 |
| work_keys_str_mv | AT wahyuwidhiarso multiobjectiveoptimizationmodelofcuttingparametersforasustainablemultipassturningprocess AT ibnuabdulrosid multiobjectiveoptimizationmodelofcuttingparametersforasustainablemultipassturningprocess AT rieskaernawati multiobjectiveoptimizationmodelofcuttingparametersforasustainablemultipassturningprocess |