MULTI-OBJECTIVE LOCATION-ROUTING MODEL WITH MULTIPLE TRANSPORTATION MODES FOR DESIGNING RELIEF NETWORKS UNDER UNCERTAINTY
Natural disasters and crisis are inevitable and each year impose destructive effects on human as injuries and damage to property. In natural disasters and after the outbreak of the crisis, demand for logistical goods and services increase. Effective distribution of emergency aid could have a signif...
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| Format: | Article |
| Language: | English |
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Iran University of Science & Technology
2018-12-01
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| Series: | International Journal of Industrial Engineering and Production Research |
| Subjects: | |
| Online Access: | http://ijiepr.iust.ac.ir/article-1-843-en.html |
| _version_ | 1818403167363137536 |
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| author | Shadan Sadighbehzadi Zohreh Moghaddas Amirreza Keyghobadi Mohsen vaez-ghasemi |
| author_facet | Shadan Sadighbehzadi Zohreh Moghaddas Amirreza Keyghobadi Mohsen vaez-ghasemi |
| author_sort | Shadan Sadighbehzadi |
| collection | DOAJ |
| description | Natural disasters and crisis are inevitable and each year impose destructive effects on human as injuries and damage to property. In natural disasters and after the outbreak of the crisis, demand for logistical goods and services increase. Effective distribution of emergency aid could have a significant role in minimizing the damage and fatal accident. In this study, a three-level relief chain including a number of suppliers in fixed locations, candidate distribution centers and affected areas at certain points are considered. For this purpose a mixed integer nonlinear programming model is proposed for open transportation location routing problem by considering split delivery of demand. In order to solve a realistic problem, foregoing parameters are considered as fuzzy in our proposed mode. The objectives of the proposed model include total cost minimization, minimization of the maximum travel time of
vehicles and minimization of unmet demands. In order to solve the problem of the proposed model, fuzzy multi-objective planning is used. For efficiency and effectiveness of the proposed model and solution approach, several numerical examples are studied. Computational results show the effectiveness and efficiency of the model and the proposed approach. |
| first_indexed | 2024-12-14T08:19:57Z |
| format | Article |
| id | doaj.art-d8cbcdd7914e4d70adfc0dcfe2b17ff8 |
| institution | Directory Open Access Journal |
| issn | 2008-4889 2345-363X |
| language | English |
| last_indexed | 2024-12-14T08:19:57Z |
| publishDate | 2018-12-01 |
| publisher | Iran University of Science & Technology |
| record_format | Article |
| series | International Journal of Industrial Engineering and Production Research |
| spelling | doaj.art-d8cbcdd7914e4d70adfc0dcfe2b17ff82022-12-21T23:09:50ZengIran University of Science & TechnologyInternational Journal of Industrial Engineering and Production Research2008-48892345-363X2018-12-01294483496MULTI-OBJECTIVE LOCATION-ROUTING MODEL WITH MULTIPLE TRANSPORTATION MODES FOR DESIGNING RELIEF NETWORKS UNDER UNCERTAINTYShadan Sadighbehzadi0Zohreh Moghaddas1Amirreza Keyghobadi2Mohsen vaez-ghasemi3 depatrment of mathematics, qazvin branch, iau depatrment of mathematics, qazvin branch, iau depatrment of management, central tehran branch, iau depatrment of mathematics, rasht branch, iau Natural disasters and crisis are inevitable and each year impose destructive effects on human as injuries and damage to property. In natural disasters and after the outbreak of the crisis, demand for logistical goods and services increase. Effective distribution of emergency aid could have a significant role in minimizing the damage and fatal accident. In this study, a three-level relief chain including a number of suppliers in fixed locations, candidate distribution centers and affected areas at certain points are considered. For this purpose a mixed integer nonlinear programming model is proposed for open transportation location routing problem by considering split delivery of demand. In order to solve a realistic problem, foregoing parameters are considered as fuzzy in our proposed mode. The objectives of the proposed model include total cost minimization, minimization of the maximum travel time of vehicles and minimization of unmet demands. In order to solve the problem of the proposed model, fuzzy multi-objective planning is used. For efficiency and effectiveness of the proposed model and solution approach, several numerical examples are studied. Computational results show the effectiveness and efficiency of the model and the proposed approach.http://ijiepr.iust.ac.ir/article-1-843-en.htmllocation-routing modeloptimizationmixed integer nonlinear programmingnetwork |
| spellingShingle | Shadan Sadighbehzadi Zohreh Moghaddas Amirreza Keyghobadi Mohsen vaez-ghasemi MULTI-OBJECTIVE LOCATION-ROUTING MODEL WITH MULTIPLE TRANSPORTATION MODES FOR DESIGNING RELIEF NETWORKS UNDER UNCERTAINTY International Journal of Industrial Engineering and Production Research location-routing model optimization mixed integer nonlinear programming network |
| title | MULTI-OBJECTIVE LOCATION-ROUTING MODEL WITH MULTIPLE TRANSPORTATION MODES FOR DESIGNING RELIEF NETWORKS UNDER UNCERTAINTY |
| title_full | MULTI-OBJECTIVE LOCATION-ROUTING MODEL WITH MULTIPLE TRANSPORTATION MODES FOR DESIGNING RELIEF NETWORKS UNDER UNCERTAINTY |
| title_fullStr | MULTI-OBJECTIVE LOCATION-ROUTING MODEL WITH MULTIPLE TRANSPORTATION MODES FOR DESIGNING RELIEF NETWORKS UNDER UNCERTAINTY |
| title_full_unstemmed | MULTI-OBJECTIVE LOCATION-ROUTING MODEL WITH MULTIPLE TRANSPORTATION MODES FOR DESIGNING RELIEF NETWORKS UNDER UNCERTAINTY |
| title_short | MULTI-OBJECTIVE LOCATION-ROUTING MODEL WITH MULTIPLE TRANSPORTATION MODES FOR DESIGNING RELIEF NETWORKS UNDER UNCERTAINTY |
| title_sort | multi objective location routing model with multiple transportation modes for designing relief networks under uncertainty |
| topic | location-routing model optimization mixed integer nonlinear programming network |
| url | http://ijiepr.iust.ac.ir/article-1-843-en.html |
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