Multi-objective modeling of relief items distribution network design problem in disaster relief logistics considering transportation system and CO: emission

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Argitaratua izan da:Scientia Iranica. Transaction E, Industrial Engineering vol. 32, no. 4 (2025), p. 1-22
Egile nagusia: Modiri, Mahdi
Beste egile batzuk: Eskandari, Mohammad, Hasanzadeh, Samira
Argitaratua:
Sharif University of Technology
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Sarrera elektronikoa:Citation/Abstract
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024 7 |a 10.24200/sci.2022.57132.5080  |2 doi 
035 |a 3236242988 
045 2 |b d20250801  |b d20250930 
084 |a 118416  |2 nlm 
100 1 |a Modiri, Mahdi  |u Department of Passive Defense, MalekAshtar University of Technology, Tehran, Iran 
245 1 |a Multi-objective modeling of relief items distribution network design problem in disaster relief logistics considering transportation system and CO: emission 
260 |b Sharif University of Technology  |c 2025 
513 |a Journal Article 
520 3 |a The present study aims to propose a multi-objective mixed integer mathematical programming model for designing a relief items distribution network in sustainable disaster relief logistics. The first objective function minimizes the total network costs. Which are divided into two parts: 1. Relief costs including (transportation costs, inventory costs and fixed costs of facilities) 2. Social costs (deprivation cost). The second objective function minimizes the amount of pollution generated by the network. Considering the related literature review, this is the first study that to propose a robust fuzzy optimization approach for relief items distribution network design problem considering environmental (CO2 emission), social (deprivation cost) and economic impacts under reliability and uncertainty. Then, the multi-objective model was solved using the multi-choice goal programming. To indicate the validity of the proposed model, a case study was evaluated based on real data (2019 flood in Sari city, Mazandaran province). Using the proposed model, decision-makers and managers are able to make strategic and tactical decisions with the least cost and time, and in relief planning can enhance the structure of distribution networks and inventory and reduce victims' dissatisfaction. 
653 |a Disaster relief 
653 |a Mathematical programming 
653 |a Deprivation 
653 |a Mathematical models 
653 |a Humanitarianism 
653 |a Optimization 
653 |a Transportation networks 
653 |a Distribution centers 
653 |a Health facilities 
653 |a Multiple objective analysis 
653 |a Operating costs 
653 |a Decision making 
653 |a Economic impact 
653 |a Tactics 
653 |a Climate change 
653 |a Suppliers 
653 |a Case studies 
653 |a Literature reviews 
653 |a Distribution management 
653 |a Costs 
653 |a Carbon dioxide 
653 |a Objective function 
653 |a Carbon dioxide emissions 
653 |a Sustainability 
653 |a Transportation systems 
653 |a Disasters 
653 |a Earthquakes 
653 |a Mixed integer 
653 |a Logistics 
653 |a Network design 
653 |a Goal programming 
653 |a Economic 
700 1 |a Eskandari, Mohammad  |u Department of Passive Defense, Faculty of Passive Defense, MalekAshtar University of Technology, Tehran, Iran 
700 1 |a Hasanzadeh, Samira  |u Department of Passive Defense, MalekAshtar University of Technology, Tehran, Iran 
773 0 |t Scientia Iranica. Transaction E, Industrial Engineering  |g vol. 32, no. 4 (2025), p. 1-22 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3236242988/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3236242988/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3236242988/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch