A multi-objective location-routing problem model for multi-device relief logistics under uncertainty using meta-heuristic algorithm
During natural and abnormal accidents, many people are injured, and a large number of wastes and rubbish are produced, so it is necessary to collect the injured and take them to treatment centers, which must be done in the reaction phase. Also, in the recovery and reconstruction phase, since a large...
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| Format: | Article |
| Language: | English |
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Ayandegan Institute of Higher Education, Iran
2022-07-01
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| Series: | Journal of Applied Research on Industrial Engineering |
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| Online Access: | http://www.journal-aprie.com/article_140703_2e68546977a0413c21bf8cf85e8230ed.pdf |
| _version_ | 1811183688409415680 |
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| author | Adel Pourghader Chobar Majid Sabk Ara Samaneh Moradi Pirbalouti Mehdi Khadem Saeed Bahrami |
| author_facet | Adel Pourghader Chobar Majid Sabk Ara Samaneh Moradi Pirbalouti Mehdi Khadem Saeed Bahrami |
| author_sort | Adel Pourghader Chobar |
| collection | DOAJ |
| description | During natural and abnormal accidents, many people are injured, and a large number of wastes and rubbish are produced, so it is necessary to collect the injured and take them to treatment centers, which must be done in the reaction phase. Also, in the recovery and reconstruction phase, since a large amount of hazardous and non-hazardous waste is produced during accidents, effective measures should be taken to collect and recycle them if necessary. Both of these cases can be considered as a reverse logistics problem. This paper investigates reverse logistics planning in the response, improvement, and reconstruction phases in earthquake conditions. Due to the nature of the problem, it is expected that we will face a multi-objective problem, and the problem condition causes the issue of uncertainty. By increasing the dimensions of the problem, the NSGA-II meta-heuristic algorithm has been used to solve the two-objective model of the problem and the result indicates that the proposed solution algorithm works well and the quality of the answer and its solution time are appropriate. The results indicate that as capacity increases, the number of distribution centers built to meet demand decreases and the distribution center constructed may be far from some shelters, leading to increased transportation costs. According to the mentioned issues, this research uses reverse logistics in the response and recovery phases. Also, information about Tehran city will be used as data for the case study. |
| first_indexed | 2024-04-11T09:51:01Z |
| format | Article |
| id | doaj.art-bfe215179a3248a8bea04c4f5a0871b7 |
| institution | Directory Open Access Journal |
| issn | 2538-5100 2676-6167 |
| language | English |
| last_indexed | 2024-04-11T09:51:01Z |
| publishDate | 2022-07-01 |
| publisher | Ayandegan Institute of Higher Education, Iran |
| record_format | Article |
| series | Journal of Applied Research on Industrial Engineering |
| spelling | doaj.art-bfe215179a3248a8bea04c4f5a0871b72022-12-22T04:30:49ZengAyandegan Institute of Higher Education, IranJournal of Applied Research on Industrial Engineering2538-51002676-61672022-07-019310.22105/jarie.2021.299798.1365140703A multi-objective location-routing problem model for multi-device relief logistics under uncertainty using meta-heuristic algorithmAdel Pourghader Chobar0Majid Sabk Ara1Samaneh Moradi Pirbalouti2Mehdi Khadem3Saeed Bahrami4Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.Faculty Member in Guilan ACECR, Educational Member in Guilan UAST, Guilan, Iran.Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.Department of Industrial Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran.Department of Computer Science, Farhangian University, Tehran, Iran.During natural and abnormal accidents, many people are injured, and a large number of wastes and rubbish are produced, so it is necessary to collect the injured and take them to treatment centers, which must be done in the reaction phase. Also, in the recovery and reconstruction phase, since a large amount of hazardous and non-hazardous waste is produced during accidents, effective measures should be taken to collect and recycle them if necessary. Both of these cases can be considered as a reverse logistics problem. This paper investigates reverse logistics planning in the response, improvement, and reconstruction phases in earthquake conditions. Due to the nature of the problem, it is expected that we will face a multi-objective problem, and the problem condition causes the issue of uncertainty. By increasing the dimensions of the problem, the NSGA-II meta-heuristic algorithm has been used to solve the two-objective model of the problem and the result indicates that the proposed solution algorithm works well and the quality of the answer and its solution time are appropriate. The results indicate that as capacity increases, the number of distribution centers built to meet demand decreases and the distribution center constructed may be far from some shelters, leading to increased transportation costs. According to the mentioned issues, this research uses reverse logistics in the response and recovery phases. Also, information about Tehran city will be used as data for the case study.http://www.journal-aprie.com/article_140703_2e68546977a0413c21bf8cf85e8230ed.pdfroutinglocationcrisis reliefreverse logisticsresponse phase |
| spellingShingle | Adel Pourghader Chobar Majid Sabk Ara Samaneh Moradi Pirbalouti Mehdi Khadem Saeed Bahrami A multi-objective location-routing problem model for multi-device relief logistics under uncertainty using meta-heuristic algorithm Journal of Applied Research on Industrial Engineering routing location crisis relief reverse logistics response phase |
| title | A multi-objective location-routing problem model for multi-device relief logistics under uncertainty using meta-heuristic algorithm |
| title_full | A multi-objective location-routing problem model for multi-device relief logistics under uncertainty using meta-heuristic algorithm |
| title_fullStr | A multi-objective location-routing problem model for multi-device relief logistics under uncertainty using meta-heuristic algorithm |
| title_full_unstemmed | A multi-objective location-routing problem model for multi-device relief logistics under uncertainty using meta-heuristic algorithm |
| title_short | A multi-objective location-routing problem model for multi-device relief logistics under uncertainty using meta-heuristic algorithm |
| title_sort | multi objective location routing problem model for multi device relief logistics under uncertainty using meta heuristic algorithm |
| topic | routing location crisis relief reverse logistics response phase |
| url | http://www.journal-aprie.com/article_140703_2e68546977a0413c21bf8cf85e8230ed.pdf |
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