Reverse Logistics Network Design for Plastic Waste Management in Jakarta: Robust Optimization Method
Indonesia experiences a consistent annual escalation in plastic production, primarily attributed to the high demands from numerous industries. As a result of this escalated production rate, more significant quantities of plastic waste continue to be produced each year. In this regard, it is es...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universitas Indonesia
2023-12-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | https://ijtech.eng.ui.ac.id/article/view/6681 |
| _version_ | 1797401529138806784 |
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| author | Romadhani Ardi Syifa Nurkamila Dyas Latiefah Citraningrum Teuku Naraski Zahari |
| author_facet | Romadhani Ardi Syifa Nurkamila Dyas Latiefah Citraningrum Teuku Naraski Zahari |
| author_sort | Romadhani Ardi |
| collection | DOAJ |
| description | Indonesia
experiences
a consistent annual escalation in plastic production, primarily
attributed to the
high demands from numerous industries. As a result of this escalated production rate, more significant quantities of plastic waste
continue to be produced each year. In
this regard, it is essential to comprehend that uncontrolled plastic waste generates harmful
substances for humans and the environment. A reverse logistics network was introduced and
developed to decrease the damaging effects of this waste on the environment. The
Indonesian plastic waste reverse logistics system encountered some
uncertainties due to limited data availability, showing significant
fluctuations. To address these uncertainties, this study proposed a
robust optimization model for the
management of plastic waste within the reverse logistics system in Jakarta. The
results showed that the model could accurately identify optimal facility
locations and determine the exact quantity to transport between facilities
while considering social, economic, and environmental factors. The results also
showed that the proposed model minimized cost by 332 million USD, reduced gas emissions to
626 million m3 (ca. 1.2 billion kgCO2), and maximized
labor by 611 thousand people. |
| first_indexed | 2024-03-09T02:12:25Z |
| format | Article |
| id | doaj.art-1c6b156db95b496b82fb9695ccf33a33 |
| institution | Directory Open Access Journal |
| issn | 2086-9614 2087-2100 |
| language | English |
| last_indexed | 2024-03-09T02:12:25Z |
| publishDate | 2023-12-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj.art-1c6b156db95b496b82fb9695ccf33a332023-12-07T08:27:22ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002023-12-011471560156910.14716/ijtech.v14i7.66816681Reverse Logistics Network Design for Plastic Waste Management in Jakarta: Robust Optimization MethodRomadhani Ardi0Syifa Nurkamila1Dyas Latiefah Citraningrum2Teuku Naraski Zahari3Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI, Depok 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI, Depok 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI, Depok 16424, IndonesiaEnergy Economics Research Group, Graduate School of Energy Science, Kyoto University, Yoshida-Honmachi, Sakyo-Ku, Kyoto, 606-8501, JapanIndonesia experiences a consistent annual escalation in plastic production, primarily attributed to the high demands from numerous industries. As a result of this escalated production rate, more significant quantities of plastic waste continue to be produced each year. In this regard, it is essential to comprehend that uncontrolled plastic waste generates harmful substances for humans and the environment. A reverse logistics network was introduced and developed to decrease the damaging effects of this waste on the environment. The Indonesian plastic waste reverse logistics system encountered some uncertainties due to limited data availability, showing significant fluctuations. To address these uncertainties, this study proposed a robust optimization model for the management of plastic waste within the reverse logistics system in Jakarta. The results showed that the model could accurately identify optimal facility locations and determine the exact quantity to transport between facilities while considering social, economic, and environmental factors. The results also showed that the proposed model minimized cost by 332 million USD, reduced gas emissions to 626 million m3 (ca. 1.2 billion kgCO2), and maximized labor by 611 thousand people.https://ijtech.eng.ui.ac.id/article/view/6681network designplastic waste managementreverse logisticsrobust optimization |
| spellingShingle | Romadhani Ardi Syifa Nurkamila Dyas Latiefah Citraningrum Teuku Naraski Zahari Reverse Logistics Network Design for Plastic Waste Management in Jakarta: Robust Optimization Method International Journal of Technology network design plastic waste management reverse logistics robust optimization |
| title | Reverse Logistics Network Design for Plastic Waste Management in Jakarta: Robust Optimization Method |
| title_full | Reverse Logistics Network Design for Plastic Waste Management in Jakarta: Robust Optimization Method |
| title_fullStr | Reverse Logistics Network Design for Plastic Waste Management in Jakarta: Robust Optimization Method |
| title_full_unstemmed | Reverse Logistics Network Design for Plastic Waste Management in Jakarta: Robust Optimization Method |
| title_short | Reverse Logistics Network Design for Plastic Waste Management in Jakarta: Robust Optimization Method |
| title_sort | reverse logistics network design for plastic waste management in jakarta robust optimization method |
| topic | network design plastic waste management reverse logistics robust optimization |
| url | https://ijtech.eng.ui.ac.id/article/view/6681 |
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